Alternatives to Gritstone

Compare Gritstone alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Gritstone in 2026. Compare features, ratings, user reviews, pricing, and more from Gritstone competitors and alternatives in order to make an informed decision for your business.

  • 1
    SYNTHIA Retrosynthesis Software
    Expert-coded by chemists and engineered by computer scientists, SYNTHIA™ Retrosynthesis Software enables scientists to quickly find and easily navigate innovative and novel pathways for novel and published target molecules. Quickly and efficiently scan hundreds of pathways to help you identify the best option according to your needs. Explore the most cost-effective routes to your target molecules with state of the art visualization and filtering options. Easily customize search parameters to eliminate or promote reactions, reagents or classes of molecules. Explore unique and innovative syntheses that may be unknown for building your desired molecule. Easily generate a list of commercially available starting materials for your synthesis. Benefit from ISO/IEC 27001 Information Security Certification to guarantee the confidentiality, integrity, and protection of your data.
    Starting Price: €0 / 30 days
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    MIStar

    MIStar

    Apollo Medical Imaging Technology

    Apollo Medical Imaging Technology is a clinically-driven medical imaging software company specializing in the creation of advanced image processing software for clinical and research applications. Their flagship product, MIStar, is a fast, economical, and easy-to-use software package that provides a broad spectrum of advanced functions and cost-effective cross-modality solutions for clinicians and the OEMs that serve them. MIStar supports various imaging modalities, including CT, MR, NM, and PET, and offers advanced modules such as CT Perfusion for stroke, brain tumor, body tumor, liver, kidney, and prostate; DSC-MRI for stroke; DCE-MRI for brain tumor, breast, body tumor, liver, kidney, and prostate; DWI & ADC; DTI Fiber Tractography; NM Renogram Analysis; and Image Fusion. The software features data access and image input through DICOM networking functions, an intuitive clinical database, and easy anonymization and archiving.
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    Elements Spine SRS
    Brainlab's Elements Spine Stereotactic Radiosurgery (SRS) is an advanced software solution designed to optimize the treatment of spinal metastases. The workflow incorporates automation at every step, including anatomical mapping, curvature correction, and target definition, ensuring submillimetric accuracy and consistency. A unique algorithm compensates for variations in spinal curvature, enhancing image fusion accuracy. Automatic segmentation of spinal anatomy utilizes a patented synthetic tissue model to identify and label individual spine levels, facilitating precise dose calculations. The software provides spinal tumor outlining tools for Gross Tumor Volume (GTV) contouring and automatically proposes the corresponding Clinical Target Volume (CTV) and cropped spinal canal object based on International Spine Consortium Guidelines. Integration with AI-powered contouring solutions enables automatic, reliable, and fast delineation of over 200 structures, including lymph nodes.
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    BrainSightAI

    BrainSightAI

    BrainSightAI

    BrainSightAI is a health tech company leveraging artificial intelligence and machine learning to revolutionize brain mapping through AI-based connectomics, generating personalized brain maps. Our VoxelBox products utilize AI-based connectomics to generate personalized brain maps. These tools aim to enhance pre-surgical planning and improve outcomes for patients with brain tumors and other neurological conditions. BrainSightAI collaborates with leading hospitals nationwide to conduct clinical trials focused on various brain-based disorders, including Alzheimer's disease, brain tumors, psychiatric disorders, Parkinson's disease, and stroke. Our mission is to advance brain science and enhance lives by providing cutting-edge tools for understanding the human brain.
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    Elements Contrast Clearance Analysis
    Brainlab's Elements Contrast Clearance Analysis is an MRI-based methodology designed to differentiate regions of contrast clearance and accumulation in brain tumor datasets. This high-resolution analysis provides additional insights to support ongoing assessment and decision-making in clinical specialties such as radiosurgery, radiation oncology, neurosurgery, neuro-oncology, and neuroradiology. The process involves acquiring two standard 3D T1-weighted MRIs, one approximately 5 minutes and another 60 to 105 minutes after the injection of a standard dose of contrast agent. The first series is subtracted from the second to generate volumetric maps that distinguish regions of contrast clearance (depicted in blue) from contrast accumulation (depicted in red). These results enable clinicians to assess radiation effects versus tumor regrowth, facilitating more informed decisions for initial and follow-up treatments.
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    MIRIO

    MIRIO

    DEEPLINK MEDICAL

    Deeplink Medical has developed its offer around the MIRIO platform, which adjusts to the different use cases and needs of actors involved in medical imaging in oncology, in the clinic, and in routine. Our services rely on 3 different but complementary offers, MIRIO, a platform for the follow-up of solid tumors evaluations, and the therapeutic response of patients in oncology. The patient pathway allows a link between hospital facilities and liberal medicine. An Imaging CRO, for the follow-up of imaging data in oncological clinical trials. A scientific board supports the development of our solutions. Collaborative workflow platform structuring imaging data and radiological evaluations for patients with solid tumors allowing structuration of data in real-time (according to RECIST 1.1 and iRECIST) directly in investigation sites at the first creation of the data. Real-time evaluation of the therapeutic response of treatments according to international guidelines RECIST 1.1 and iRECIST.
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    StrandOmics

    StrandOmics

    Strand Life Sciences

    Efficient reporting of NGS-based clinical tests requires a robust and mature platform for automatic variant prioritization, clinical interpretation and report generation. Strand Omics is a fast, HIPAA-compliant cloud-based platform that drives our clinical diagnostics practice. It has been honed over 4 years and over 10,000 clinical reports and multiple peer-reviewed publications. Strand Omics combines bioinformatics algorithms, curated databases, visualization interfaces and reporting capabilities. It has specialized workflows for both rare inherited disorders as well as somatic tumor profiling tests. The platform contains over 10,000 somatic variants curated for oncogenicity, 100 genes curated for druggability in multiple cancer types and 500 drugs curated for evidence in multiple cancer types.
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    Tempus

    Tempus

    Tempus

    Tempus AI is a leading health technology company headquartered in Chicago, Illinois. Specializing in artificial intelligence and precision medicine, Tempus aims to revolutionize patient care by leveraging data and AI to develop personalized treatment plans across various medical fields, including oncology, cardiology, radiology, and depression. The company's comprehensive platform integrates genomic sequencing, clinical data, and AI-driven analytics to provide actionable insights for healthcare providers and researchers. We deliver a comprehensive view of your patients through our tissue and liquid tests, DNA and RNA sequencing, somatic and germline tests, tumor-normal matched profiling, and MRD and monitoring test options. We offer a fast, reliable platform for ordering Tempus tests, accessing patient insights, and utilizing our AI-driven technologies seamlessly. The first generative AI-enabled clinical assistant that provides access to patient insights directly at your fingertips.
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    MoCA Cognition

    MoCA Cognition

    MoCA Cognition

    The Montreal Cognitive Assessment (MoCA) is a brief, 30-question test that helps healthcare professionals detect cognitive impairments very early on, allowing for faster diagnosis and patient care. MoCA empowers healthcare professionals and researchers to detect cognitive impairment related to conditions such as Alzheimer's disease, Parkinson's disease, Huntington's disease, Lewy Body Dementia, VCI/Stroke, frontotemporal dementia, brain metastasis, ALS, sleep behavior disorder, brain tumors, multiple sclerosis, head trauma, depression, schizophrenia, heart failure, substance abuse, HIV, COVID, and more. MoCA is regularly used by nurses, primary care and specialty physicians, occupational therapists, speech-language pathologists, psychologists, researchers, and other clinicians. It quickly and accurately assesses short-term memory, visuospatial abilities, executive functions, attention, concentration and working memory, language, and orientation to time and place.
    Starting Price: $20 per month
  • 10
    Genedata Biologics
    Genedata Biologics® streamlines discovery of biotherapeutics including bispecifics, ADCs, TCRs, CAR-Ts, and AAVs. The most widely adopted platform across the industry, it integrates all discovery workflows so you can focus on true innovation. Accelerate research with a first-in-class platform uniquely designed from the start to digitalize biotherapeutic discovery. The platform facilitates complex R&D processes by designing, tracking, testing, and assessing novel biotherapeutics drugs. It works with any format, from antibodies, bi- or multi-specifics, ADCs, novel scaffolds, and therapeutic proteins, to engineered therapeutic cell lines such as TCRs and CAR-T cells. Acting as a central end-to-end data backbone, Genedata Biologics integrates all R&D processes, from library design and immunizations, selections and panning, molecular biology, screening, protein engineering, expression, purification, and protein analytics, to candidate developability and manufacturability assessments.
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    Atomwise

    Atomwise

    Atomwise

    We use our AI engine to transform drug discovery. Our discoveries help create better medicines faster. Our AI-enabled discovery portfolio includes wholly-owned and co-developed pipeline assets, and is backed by prominent investors. Atomwise developed a machine-learning-based discovery engine that combines the power of convolutional neural networks with massive chemical libraries to discover new small-molecule medicines. The secret to reinventing drug discovery with AI is people. We are dedicated to developing the best AI platform and using it to transform small molecule drug discovery. We have to tackle the most challenging, seemingly impossible targets and streamline the drug discovery process to give drug developers more shots on goal. Computational efficiency enables screening of trillions of compounds in silico, increasing the likelihood of success. Demonstrated exquisite model accuracy, overcoming the challenge of false positives.
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    NoviSight 3D
    NoviSight 3D cell analysis software advances your discovery by providing statistical data for spheroids and other 3D objects in microplate-based experiments. The software enables you to quantify cell activity in three dimensions and more easily capture rare cell events, obtain accurate cell counts, and improve detection sensitivity. With a convenient user interface, NoviSight software offers the tools you need for recognition, analysis, and statistics. NoviSight software’s True 3D technology makes it easier to check the morphology of your samples. Measure a range of spheroid or cell nuclei parameters, including volume and sphericity, and measure and analyze physiologically relevant 3D cell models to speed up your research work. The software can analyze objects of interest to provide morphology and spatiotemporal parameters in 3D space. Detect objects from whole structures to subcellular features and evaluate changes in spheroids.
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    Bruker Drug Discovery
    Bringing a new drug into the market, from the first step to the final market introduction, is a time-consuming, highly regulated, and expensive process, which can take a decade or more. Final success crucially depends on the early availability of accurate analytical results, fast enough for taking the right decisions at the beginning of the development and minimizing late attrition rates. Today’s drug development is mainly based on a rational approach where typically establishing the biological target to focus on is the first key step. This target identification requires a deep understanding of the candidates´ properties to identify the most promising ones as quickly and reliable as possible. Once a biological target has been established, finding the most promising lead molecules is often seen as the next challenge. Typically, lead discovery is the identification of potential drug candidates – either small organic molecules or biologic assemblies with therapeutic potential.
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    BIOiSIM

    BIOiSIM

    VERISIMLife

    BIOiSIMTM is a first-in-class 'virtual drug development engine' that offers unprecedented value for the drug development industry by narrowing down the number of drug compounds that offer anticipated value for the treatment or cure of specific illnesses or diseases. We offer a range of translational-based solutions, customized for your pre-clinical and clinical programs. These offerings are all centered around our proven and validated BIOiSIMTM platform for small molecules, large molecules, and viruses. Our models are built on data from thousands of compounds across 7 species, leading to robustness rarely seen in the industry. With a focus on human outcomes, the platform has at its core a translatability engine that transforms insights across species. The BIOiSIMTM platform can be used before the preclinical animal trial start, allowing earlier insights and savings in expensive outsourced experimentation.
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    BenevolentAI

    BenevolentAI

    BenevolentAI

    BenevolentAI is an AI-enabled drug discovery platform and scientific technology company that unites advanced artificial intelligence, machine learning, and domain-specific science to accelerate the discovery, design, and development of new medicines for complex diseases by making sense of vast, diverse biomedical data and generating actionable scientific insights faster than traditional methods. Its proprietary Benevolent Platform ingests and harmonizes structured and unstructured biomedical information, including literature, genomics, clinical information, and multi-omics data, into a comprehensive knowledge graph, enabling scientists to reason across biological systems, generate hypotheses, predict novel drug targets, and design candidate molecules with higher confidence and lower failure rates.
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    alvaBuilder

    alvaBuilder

    Alvascience

    alvaBuilder is a no-code de novo molecular design software for generating novel chemical structures that satisfy user-defined structural, physicochemical, and modeling constraints. It enables the creation of new molecules starting from scratch or by evolving existing structures using fragment-based and rule-driven approaches. alvaBuilder integrates seamlessly with QSAR/QSPR workflows, allowing users to guide molecule generation using predictive models, descriptor ranges, and property targets. The software supports medicinal chemistry, lead optimization, and virtual screening tasks by efficiently exploring chemical space while maintaining chemical feasibility and interpretability. alvaBuilder is designed for research and industrial applications where transparent, controllable, and reproducible molecular generation is required.
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    BIOVIA Discovery Studio

    BIOVIA Discovery Studio

    Dassault Systèmes

    Today’s biopharmaceutical industry is marked by complexity: growing market demands for improved specificity and safety, novel treatment classes and more intricate mechanisms of disease. Keeping up with this complexity requires a deeper understanding of therapeutic behavior. Modeling and simulation methods provide a unique means to explore biological and physicochemical processes down to the atomic level. This can guide physical experimentation, accelerating the discovery and development process. BIOVIA Discovery Studio brings together over 30 years of peer-reviewed research and world-class in silico techniques such as molecular mechanics, free energy calculations, biotherapeutics developability and more into a common environment. It provides researchers with a complete toolset to explore the nuances of protein chemistry and catalyze discovery of small and large molecule therapeutics from Target ID to Lead Optimization.
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    SILCS

    SILCS

    SilcsBio

    Site-Identification by Ligand Competitive Saturation (SILCS) generates 3D maps (FragMaps) of interaction patterns for chemical functional groups with your target molecule. Site-Identification by Ligand Competitive Saturation (SILCS) generates 3D maps (FragMaps) of interaction patterns for chemical functional groups with your target molecule. SILCS reveals intricacies of dynamics and provides tools to optimize ligand scaffolds using qualitative and quantitative binding pockets insights allowing more rapid and effective drug design. SILCS uses multiple small molecule probes with various functional groups, explicit solvent modeling, and target molecule flexibility to perform protein target mapping. Visualize favorable interactions with the target macromolecule. Gain insights to design better ligands with optimally placed functional groups.
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    Recursion

    Recursion

    Recursion

    Recursion is a TechBio company focused on transforming drug discovery by combining biology, data, and artificial intelligence. Founded over a decade ago, the company pioneered the use of large-scale cellular imaging to train AI models that decode the biological drivers of disease. Recursion’s mission is to deliver better medicines through novel insights and precision design, reducing the high failure rates of traditional drug development. Its proprietary Recursion OS platform integrates massive biological datasets with machine learning to accelerate discovery from target identification to clinical development. The company has built an advanced pipeline of potential first-in-class and best-in-class therapies targeting aggressive cancers and rare diseases. Automated wet labs and robotics enable millions of experiments per week, feeding continuous learning into its AI models.
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    Discngine Assay
    Discngine Assay is a laboratory informatics platform that integrates every phase of plate-based assays into a cohesive, compliant, and efficient workflow, making it an essential tool for screening research labs. It enables scientists to streamline the entire High Throughput Screening workflow, from sample management and assay data analysis to data warehousing and liquid handling equipment qualification. With its intuitive interface and robust API, Discngine Assay integrates seamlessly with Lab equipments and existing IT environment, ensuring efficient data capture and processing. Designed to accelerate new molecule discovery, it addresses the needs of pharmaceutical, biotech, and CRO industries, enhancing collaboration and driving innovation in life science research.
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    AutoDock

    AutoDock

    AutoDock

    AutoDock is a suite of automated docking tools. It is designed to predict how small molecules, such as substrates or drug candidates, bind to a receptor of known 3D structure. Over the years, it has been modified and improved to add new functionalities, and multiple engines have been developed. Current distributions of AutoDock consist of two generations of software: AutoDock 4 and AutoDock Vina. More recently, we developed AutoDock-GPU, an accelerated version of AutoDock4 that is hundreds of times faster than the original single-CPU docking code. AutoDock 4 actually consists of two main programs: autodock performs the docking of the ligand to a set of grids describing the target protein; autogrid pre-calculates these grids. In addition to using them for docking, the atomic affinity grids can be visualized. This can help, for example, to guide organic synthetic chemists design better binders.
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    CSAM ProSang
    CSAM ProSang is an advanced Laboratory Information Management System (LIMS) that simplifies the entire management of blood, cells and tissues, from donation to transfusion or transplantation. It is used in five countries, at more than 180 blood centers in 26 healthcare regions. CSAM ProSang’s comprehensive functionality includes all aspects of blood donor management, administration, production and analysis, allocation and delivery of blood for transfusion. It uses the same proven process for stem cells, organ transplantation and tissue management. The system also handles immunological exams, including immunogenicity and tissue-type serology. From the time a sample is taken from the donor, through the production, analysis and delivery to the recipient, CSAM ProSang tracks ever step via barcode labeling. The system’s advanced barcode technology automatically recognizes and alerts users if the incorrect blood, cell or tissue is scanned.
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    alvaMolecule

    alvaMolecule

    Alvascience

    alvaMolecule is a no-code cheminformatics tool for visualizing, curating, and standardizing molecular datasets before analysis. It supports common molecular formats (SMILES, SDF/MOL2) and lets users explore collections in grid or spreadsheet views, with automatic import of associated data. The software provides structure verification and standardization using predefined standardizers and custom SMIRKS rules, helps detect and manage duplicates, and offers scaffold analysis to summarize core frameworks. Built-in filters and charting tools enable sorting by substructure, calculated molecular descriptors, and physicochemical properties. alvaMolecule calculates ~88 structural and physicochemical properties, including drug-like and lead-like scores such as LogP, TPSA, and the Lipinski alert index, helping prepare high-quality datasets for QSAR/QSPR modeling, descriptor calculation, and virtual screening workflows.
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    GeoMx Digital Spatial Profiler (DSP)
    Quickly resolve tissue heterogeneity and the complexity of microenvironments with the GeoMx Digital Spatial Profiler (DSP), the most flexible and robust spatial multi-omic platform for analysis of FFPE and fresh frozen tissue sections. GeoMx is the only spatial biology platform that non-destructively profiles the expression of RNA and protein from distinct tissue compartments and cell populations with an automated and scalable workflow that integrates with standard histology staining. Spatially profile the whole transcriptome and 570+ protein targets separately or simultaneously from your choice of sample inputs: whole tissue sections, tissue microarrays (TMAs), or organoids. Make GeoMx DSP your spatial biology platform of choice for biomarker discovery and hypothesis testing. Decide where to draw the line and let the tissue be your guide with biology-driven profiling that empowers you to choose the tissue microenvironments and cell types that matter most to you.
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    Kaleido

    Kaleido

    Kaleido

    The microbiome is implicated in numerous diseases and health conditions. Learn how Kaleido is leading a differentiated approach to translating the promise of the microbiome into solutions for patients. The human microbiome is a community of more than 30 trillion microbes, organisms that include bacteria, viruses, archaea and fungi, which reside on and inside the human body. Over the last decade, research has increased exponentially on the impact the microbiome has on human health, including cardiovascular disease, cancer, diabetes, Parkinson’s disease and allergies. This highly complex microbial ecosystem has been referred to as a “newly discovered organ.” Many other human organs command tens of billions of dollars for therapeutics that treat disease by modulating physiology. From a therapeutic perspective, the microbiome organ remains a largely untapped frontier in healthcare.
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    Healnet

    Healnet

    Healx

    Rare diseases are often not well studied and there is a limited understanding of many of the aspects necessary to support a drug discovery program. Our AI platform, Healnet, overcomes these challenges by analyzing millions of drug and disease data points to find novel connections that could be turned into new treatment opportunities. By applying frontier technologies across the discovery and development pipeline, we can run multiple stages in parallel and at scale. One disease, one target, one drug: it's an overly simple model, yet it's the one used by nearly all pharmaceutical companies. The next generation of drug discovery is AI-powered, parallel and hypothesis-free. Bringing together the key three drug discovery paradigms.
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    CZ CELLxGENE Discover
    Select two custom cell groups based on metadata to find their top differentially expressed genes. Leverage millions of cells from the integrated CZ CELLxGENE corpus for powerful analysis. Execute interactive analyses on a dataset to explore how patterns of gene expression are determined by spatial, environmental, and genetic factors using an interactive speed no-code UI. Understand published datasets or use them as a launchpad to identify new cell sub-types and states. Census provides access to any custom slice of standardized cell data available on CZ CELLxGENE Discover in R and Python. Explore an interactive encyclopedia of 700+ cell types that provides detailed definitions, marker genes, lineage, and relevant datasets in one place. Browse and download hundreds of standardized data collections and 1,000+ datasets characterizing the functionality of healthy mouse and human tissues.
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    Aurora Drug Discovery

    Aurora Drug Discovery

    Aurora Fine Chemicals

    Aurora employs quantum mechanics, thermodynamics, and an advanced continuous water model for solvation effects to calculate ligand´s binding affinities. This approach differs dramatically from scoring functions that are commonly used for binding affinity predictions. By including the entropy and aqueous electrostatic contributions in to the calculations directly, Aurora algorithms produce much more accurate and robust values of binding free energies. Interaction of a ligand with a protein is characterized by the value of binding free energy. The free energy (F) is the thermodynamic quantity that is directly related to experimentally measurable value of inhibition constant (IC50) and depends on electrostatic, quantum, aqueous solvation forces, as well as on statistical properties of interacting molecules. There are two major contributing quantities leading to non-additivity in F: 1) the electrostatic and solvation energy and 2) the entropy.
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    Promethium

    Promethium

    Promethium

    Promethium is a GPU-powered chemistry simulation platform designed to accelerate drug and materials development by enabling faster and more accurate quantum chemistry calculations. Built from the ground up for NVIDIA datacenter GPUs like A100, it employs novel QC Ware streaming algorithms to achieve unprecedented computational speed and high throughput-to-power consumption ratios. It supports density functional theory calculations on systems with up to 2,000 atoms, allowing simulations of large molecular systems that are not feasible with legacy CPU-powered ab initio codes. For instance, a single-point calculation of a 2,056-atom protein can be completed in 14 hours on a single GPU. Promethium offers a range of capabilities, including single-point energy calculations, geometry optimization, conformer search, torsion scan, reaction path optimization, transition state optimization, interaction energy computations, and relaxed potential energy surface scans.
    Starting Price: $30 per hour
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    3decision

    3decision

    Discngine

    3decision® is a cloud-based protein structure repository designed for comprehensive structural data management and advanced analytics, enabling small molecule and biologics discovery teams to accelerate structure-based drug design. It centralizes and standardizes experimental and in-silico protein structures from public sources like RCSB PDB and AlphaFoldDB, as well as proprietary data, supporting formats like PDBx/mmCIF and ModelCIF. This ensures easy access to X-Ray, NMR, cryo-EM, and modeled structures, fostering collaboration and enhancing research efforts. Beyond storage, 3decision® enriches entries with metadata and sequence information, including protein-ligand interactions, antibody annotations, and binding site details. Advanced analytical tools identify druggable sites, assess off-target risks, and enable binding site comparisons, transforming vast structural data into actionable knowledge. Its cloud-based platform facilitates collaboration among research teams.
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    Kyverno

    Kyverno

    Kyverno

    Kyverno is a policy engine designed for Kubernetes. With Kyverno, policies are managed as Kubernetes resources and no new language is required to write policies. This allows using familiar tools such as kubectl, Git, and Kustomize to manage policies. Kyverno policies can validate, mutate, and generate Kubernetes resources plus ensure OCI image supply chain security. The Kyverno CLI can be used to test policies and validate resources as part of a CI/CD pipeline. Kyverno allows cluster administrators to manage environment specific configurations independently of workload configurations and enforce configuration best practices for their clusters. Kyverno can be used to scan existing workloads for best practices, or can be used to enforce best practices by blocking or mutating API requests. Block non-conformant resources using admission controls, or report policy violations.
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    Echidna

    Echidna

    Crytic

    Echidna is a Haskell program designed for fuzzing/property-based testing of Ethereum smart contracts. It uses sophisticated grammar-based fuzzing campaigns based on a contract ABI to falsify user-defined predicates or Solidity assertions. We designed Echidna with modularity in mind, so it can be easily extended to include new mutations or test specific contracts in specific cases. Generates inputs tailored to your actual code. Optional corpus collection, mutation and coverage guidance to find deeper bugs. Powered by Slither to extract useful information before the fuzzing campaign. Source code integration to identify which lines are covered after the fuzzing campaign. Interactive terminal UI, text-only or JSON output. Automatic test case minimization for quick triage. Seamless integration into the development workflow. Maximum gas usage reporting of the fuzzing campaign. Support for a complex contract initialization with Etheno and Truffle.
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    SCIEX

    SCIEX

    SCIEX

    When operating LC-MS/MS for research or routine workflows, you expect to achieve fast, accurate, and conclusive results. The SCIEX software suite helps you get the most out of your high-performance LC-MS/MS system. It includes specific workflow and application modules to supplement your operating system. As a result, your mass spectrometer runs with the ideal software combination, tailored to your needs. These are the core engines of SCIEX nominal mass and accurate mass LC-MS/MS systems. They are for rapid and reliable data acquisition, processing, and reporting, all with compliance readiness. Combine high performance and simplicity with add-on modules for optimized quantitative and qualitative workflows. Translate your data into conclusive results even faster with application-specific software modules.
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    Paige

    Paige

    Paige

    Paige products can transform the way pathologists work by bringing confidence to diagnosis. Paige is on a mission to develop and deliver a new generation of clinical applications and predictive tests, empowering pathologists and transforming oncology. Our AI solutions provide a clear path into the future of pathology. The Paige Platform is a secure end-to-end solution that provides LIS interoperability, multi-scanner integration, cloud storage, case management, image review via FullFocus®, and powerful AI applications. Paige Prostate is a suite of AI applications created to assist pathologists in the detection of suspicious foci, grading and quantification of tissue, and an indication of perineural invasion (PNI) in needle core biopsy samples from the prostate tissue. Paige Breast is a suite of AI applications created to assist pathologists in breast cancer evaluation, providing the detection of cancer in breast biopsies and the detection of metastases in breast lymph nodes.
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    CryoTrack

    CryoTrack

    CryoTrack

    CryoTrackIMS is a complete software package - ideal for molecular biology, cell banks, cellular biology, clinical samples, biorepository, biobanking, biochemistry, immunology and protein labs, high-throughput screening, QA, IVF labs and core labs and facilities. Create any box, plate or pie configuration - select rows and columns or select a Pie configuration - your box is created in seconds ready to input data. Inventory of valuable biological samples and specimen is critical for basic research and biotech business. Keeping track of large numbers and types of samples (DNA, RNA, plasmids, clones, proteins, peptides, probes, antibodies, enzymes, specimen, tissues, cell lines and more) and where they are and their precise location is a nightmare and daunting task for many that cost a great deal not only in monetary terms but also leads to frustrations and time loss. CryoTrack offers a complete solution for individual labs in universities, clinics, biotech and pharmaceutical companies.
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    Genedata Imagence
    Genedata Imagence® lets you train a deep neural network to classify cellular phenotypes in HCS images for unbiased, high-quality results. It automates your analysis to put the power of deep learning algorithms in the hands of assay biologists. Genedata Imagence empowers biologists to directly and immediately analyze HCS imaging data using sophisticated deep learning techniques without any specialized algorithmic expertise. Don’t shroud your analysis under abstract lines of code. The Genedata Imagence intuitive interface allows you to easily QC and explore data every step of the way.
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    ChemDraw

    ChemDraw

    PerkinElmer

    Since 1985 ChemDraw® solutions have provided powerful capabilities and integrations to help you quickly turn ideas and drawings into publications you can be proud of. A chemistry communication suite, ChemOffice+ Cloud transforms your chemical drawings into chemical knowledge by facilitating the management, reporting and presenting of your Chemistry research. ChemOffice+ Cloud, is a robust, comprehensive suite, purpose-built to simplify, facilitate, and accelerate chemistry communication. The cloud-native chemistry communication suite builds on the foundations of ChemDraw Professional and adds access to a powerful set of tools to enable scientific research. The mundane task of creating reports to communicate chemical research has become much more efficient with ChemOffice+ Cloud. With powerful capabilities to search, reuse, select, and organize chemical structures and data, chemists can use ChemOffice+ Cloud to create presentation-ready PowerPoint slides and manuscripts.
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    Causaly

    Causaly

    Causaly

    Leverage the power of AI to expedite the journey from bench research and laboratory insights to the launch of life-changing therapies. Gain up to 90% in research productivity by reducing your reading time from months to minutes. Cut through the noise with a high-precision, high-accuracy search to navigate the ever-growing volume of scientific literature with ease. Save time, reduce bias and increase odds of novel discoveries. Deeply explore disease biology and conduct advanced target discovery. Causaly’s high-precision knowledge graph consolidates evidence from millions of publications, making deep, unbiased scientific exploration possible. Rapidly navigate biological cause-and-effect relationships without being an expert. Get a view of all scientific documents and uncover hidden connections. Causaly’s powerful AI machine reads millions of published biomedical literature to support better decision-making and research outcomes.
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    Schrödinger

    Schrödinger

    Schrödinger

    Transform drug discovery and materials research with advanced molecular modeling. Our physics-based computational platform integrates differentiated solutions for predictive modeling, data analytics, and collaboration to enable rapid exploration of chemical space. Our platform is deployed by industry leaders worldwide for drug discovery, as well as for materials science in fields as diverse as aerospace, energy, semiconductors, and electronics displays. The platform powers our own drug discovery efforts, from target identification to hit discovery to lead optimization. It also drives our research collaborations to develop novel medicines for critical public health needs. With more than 150 Ph.D. scientists on our team, we invest heavily in R&D. We’ve published over 400 peer-reviewed papers that demonstrate the strength of our physics-based approaches, and we’re continually pushing the limits of computer modeling.
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    NVIDIA BioNeMo
    BioNeMo is an AI-powered drug discovery cloud service and framework built on NVIDIA NeMo Megatron for training and deploying large biomolecular transformer AI models at a supercomputing scale. The service includes pre-trained large language models (LLMs) and native support for common file formats for proteins, DNA, RNA, and chemistry, providing data loaders for SMILES for molecular structures and FASTA for amino acid and nucleotide sequences. The BioNeMo framework will also be available for download for running on your own infrastructure. ESM-1, based on Meta AI’s state-of-the-art ESM-1b, and ProtT5 are transformer-based protein language models that can be used to generate learned embeddings for tasks like protein structure and property prediction. OpenFold, a deep learning model for 3D structure prediction of novel protein sequences, will be available in BioNeMo service.
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    Alchemite

    Alchemite

    Intellegens

    Alchemite provides AI-augmented physical modeling and solutions that help organizations extract actionable insights from experimental and simulation data by combining machine learning with physics-informed models to improve prediction accuracy, reduce experimental costs, and optimize product and process development. Its solutions span materials discovery and design, predictive modelling of performance and reliability, multiscale modelling that connects atomistic to macroscopic behaviour, and automation of workflow tasks such as data integration, surrogate modelling, and model validation. It supports physics-aware neural networks and hybrid modelling approaches that respect underlying scientific laws while learning from data to enable faster and more accurate simulations, reduced reliance on expensive physical testing, and improved decision-making. Intellegens’ tools are applied in areas such as battery performance prediction, chemical process optimization, etc.
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    Iktos

    Iktos

    Iktos

    Makya is the first user-friendly SaaS platform for AI-driven de novo drug design focused on Multi-Parametric Optimization (MPO). It enables the design of novel and easy-to-make compounds in line with a multi-objective blueprint with unprecedented speed, performance, and diversity. Makya offers multiple generative algorithms covering different use cases from hit discovery to lead optimization: fine-tuning generator to find optimal solutions within your chemical space in line with your project blueprint; novelty generator to find new ideas with high novelty for re-scaffolding/hit discovery; forward generator to design a focused library of compounds easily accessible from commercial starting materials. The new Makya 3D module enhances the user experience and scientific utility of Makya. With an extensive set of 3D modeling features in both ligand-based and structure-based pipelines, with Makya 3D you can now calculate 3D scores and use these to guide generations natively in Makya.
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    Nautilus LIMS

    Nautilus LIMS

    Thermo Fisher Scientific

    To accelerate new discoveries and get products to market as quickly as possible, R&D and manufacturing labs have to reconfigure and change on the fly. Data management can’t be a bottleneck. Developed in partnership with customers in fast-paced R&D environments, the Thermo Scientific™ Nautilus LIMS™ for Dynamic Discovery and R&D Environments is a highly flexible, easily configurable system that increases workflow efficiency, throughput and data reliability while simplifying administration, sample traceability and regulatory compliance. Automated handling of complex boards and proprietary graphics instruments make data monitoring and management easy, even novice users can delineate and track processes with ease. Clients can create workflows, delineate the life cycles of the samples and automate actions between different platforms while integrating regulated processes that comply with good laboratory practices and the 21 CFR Part 11 guidelines.
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    NVIDIA Clara
    Clara’s domain-specific tools, AI pre-trained models, and accelerated applications are enabling AI breakthroughs in numerous fields, including medical devices, imaging, drug discovery, and genomics. Explore the end-to-end pipeline of medical device development and deployment with the Holoscan platform. Build containerized AI apps with the Holoscan SDK and MONAI, and streamline deployment in next-generation AI devices with the NVIDIA IGX developer kits. The NVIDIA Holoscan SDK includes healthcare-specific acceleration libraries, pre-trained AI models, and reference applications for computational medical devices.
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    Go REST

    Go REST

    Go REST

    Go REST is a GraphQL and RESTful API platform for testing and prototyping that delivers fake data with real responses, available 24/7 via public endpoints for users, posts, comments, and todos. It supports multiple API versions with full search on all fields, pagination (page and per_page), rate-limiting headers, and response format negotiation. Standard HTTP verbs are supported, and mutating requests require an access token via HTTP Bearer or query parameter. Nested resources let you retrieve related data, user posts, post comments, and user todos, while request and response logging, customizable rate limit,s and daily data resets ensure a clean testing environment. A GraphQL endpoint at /public/v2/graphql offers schema-driven queries and mutations.
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    DrugPatentWatch

    DrugPatentWatch

    DrugPatentWatch

    Global biopharmaceutical drug patent and generic entry business intelligence. Anticipate future budget requirements and proactively identify generic sources. Assess past successes of patent challengers and elucidate research paths of competitors. Inform portfolio management decisions on future drug development. Predict branded drug patent expiration, identify generic suppliers, and prevent overstock of branded drugs. Obtain formulation and manufacturing information; identify final formulators, repackagers, and relabelled.
    Starting Price: $250 per month
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    Omda LIMS
    Omda ProSang is an advanced Laboratory Information Management System (LIMS) for end-to-end blood, cell, and tissue management, with full traceability from donor to recipient. The system is utilized by blood donors and in blood centers, immunohematology laboratories, clinical immunology laboratories, transplantation laboratories, tissue establishments, and stem cell facilities. Omda ProSang has provided full ISBT 128 support for decades and is trusted by more than 180 blood centers in five countries. By offering customers a fully documented process and complete traceability, the platform provides detailed oversight of the entire donor-to-recipient system. Process automation streamlines testing and analysis workflows and simplifies communication with donors. The solution has built-in safeguarding mechanisms to improve patient safety, and detailed statistics and analysis tools allow healthcare providers to get the most from their resources.
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    StarDrop

    StarDrop

    Optibrium

    With its comprehensive suite of integrated software, StarDrop™ delivers best-in-class in silico technologies within a highly visual and user-friendly interface. StarDrop™ enables a seamless flow from the latest data through predictive modeling to decision-making regarding the next round of synthesis and research, improving the speed, efficiency, and productivity of the discovery process. Successful compounds require a balance of many different properties. StarDrop™ guides you through this multi-parameter optimization challenge to target compounds with the best chance of success, saving you time and resources by enabling you to synthesize and test fewer compounds.
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    FCS Express

    FCS Express

    De Novo Software

    FCS Express™ gets you from raw data to easily-understandable, beautifully formatted, presentation-ready results more easily and in less time than any other flow cytometry software. If you've ever had to copy and paste tables of data into a more user-friendly software just to get your data into a visual format that looked good and was comprehensible. If you’ve ever had to manage your data across multiple software packages - your flow cytometry software as well as something like Microsoft Excel™ or GraphPad Prism™ because you couldn’t get everything you needed in one place. Learning how to use flow cytometry software should not be an impediment to getting results from your data. FCS Express is designed to look, feel, and work like many familiar Microsoft Office™ programs so you are already halfway to being an expert with the software before you even get started.
    Starting Price: $53 per month
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    Cellenics

    Cellenics

    Biomage

    Turn your single-cell RNA sequencing data into meaningful insight with Cellenics software. Biomage hosts a community instance of Cellenics, an open source analytics tool for single-cell RNA sequencing data that has been developed at Harvard Medical School. It enables biologists to explore single-cell datasets without writing code and helps scientists and bioinformaticians to work together more effectively. It takes you from count matrices to publication-ready figures in just a few hours and can be integrated seamlessly with your workflow. It’s fast, interactive, and user-friendly. And it’s cloud-based, secure, and scaleable. The Biomage-hosted community instance of Cellenics is free for academic researchers with small/medium-sized datasets (up to 500,000 cells). It’s used by 3000+ academic researchers studying cancer, cardiovascular health, and developmental biology.