Alternatives to BioSymetrics
Compare BioSymetrics alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to BioSymetrics in 2026. Compare features, ratings, user reviews, pricing, and more from BioSymetrics competitors and alternatives in order to make an informed decision for your business.
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Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.
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SYNTHIA Retrosynthesis Software
Merck KGaA
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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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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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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AIDDISON
Merck KGaA
AIDDISON™ drug discovery software combines the power of artificial intelligence (AI), machine learning (ML), and 3D computer-aided drug design (CADD) methods to act as a valuable toolkit for medicinal chemistry needs. As a unified platform for efficient and effective ligand-based and structure-based drug design, it integrates all the facets for virtual screening and supports methods for in-silico lead discovery and lead optimization. -
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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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Genomenon
Genomenon
Pharma companies need comprehensive genomic information to drive successful precision medicine programs, but decisions are often made using only a fraction of the data available, about 10%. Genomenon delivers 100% of the data. An efficient and cost-effective natural history research solution for pharma, ProdigyTM Patient Landscapes support the development of rare disease therapies by enhancing insights contained in retrospective and prospective health data. Using a powerful AI-driven approach, Genomenon delivers a comprehensive and expert assessment of every patient in the published medical literature, in a fraction of the time. Don’t miss anything, get insight into every genomic biomarker published in the medical literature. Every scientific assertion is supported by empirical evidence from the medical literature. Identify all genetic drivers and pinpoint which variants are known to be pathogenic according to ACMG clinical standards. -
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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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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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Signals VitroVivo
PerkinElmer Informatics
Signals VitroVivo unites assay development, low throughput to ultra-high-throughput production assays, High Content Screening, and in vivo studies so users can search across all assay and screening data in a single platform. Signals VitroVivo is flexible enough for one-off assay work during assay development, comprehensive enough for more sophisticated essays, and diverse enough to support a long and growing list of techniques and that is scalable all the way to ultra-high data volumes. Scientists can now leverage a consistent, repeatable pattern for data acquisition as well as the data processing protocols themselves. Quick and easy structure-activity relationship analysis for small and large molecules. Built for the purpose to address specific requirements for handling studies, treatments and samples. -
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InSilicoTrials
InSilicoTrials
InSilicoTrials.com is a web-based platform, which provides a user-friendly computational modeling and simulation environment where many integrated easy-to-use in silico tools are readily available. The platform targets primarily users from the medical devices and pharmaceutical sectors. The in silico tools available for medical devices enable computational testing in different biomedical areas like radiology, orthopedics and cardiovascular during product design, development and validation processes. For the pharmaceutical sector, the platform provides access to in silico tools developed at all stages of the drug discovery and development processes and for many different therapeutic areas. We have built the only cloud-platform based on the crowdscience concept that makes it easy to use validated models and cut your R&D costs now. A growing catalogue of models ready to be used, on a pay per use basis. -
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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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SpliceCore
Envisagenics
Using RNA sequencing (RNA-seq) data and Artificial Intelligence are both a necessity and an opportunity to develop therapeutics that target splicing errors. The use of machine learning enables us to discover new splicing errors and quickly design therapeutic compounds to correct them. SpliceCore is our dedicated AI platform for RNA therapeutics discovery. We developed this technology platform specifically for the analysis of RNA sequencing data. It can identify, test and validate hypothetical drug targets faster than traditional methods. At the heart of SpliceCore is our proprietary database of more than 5 million potential RNA splicing errors. It is the largest database of splicing errors in the world and it is used to test every RNA sequencing dataset that is input for analysis. Scalable cloud computing enables us to process massive amounts of RNA sequencing data efficiently, at higher speed and lower cost, exponentially accelerating therapeutic innovation. -
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Endimension
Endimension
Artificial intelligence to transform healthcare diagnosis. Using AI and predictive analytics for early-stage disease detection and accurate diagnosis. Cloud-enabled AI platform to ensure affordable and accessible healthcare for all. Endimension Technology is a healthcare artificial intelligence startup incubated at IIT Bombay. We develop AI algorithms to automatically detect abnormalities and diseases from medical scans. The founding team consists of machine learning researchers, software engineers and medical doctors from reputed institutions. Our mission is to build healthcare AI technology products that will reduce patient misdiagnosis. AI to reduce radiologist workload and improve patient turnaround time. -
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SOPHiA GENETICS
SOPHiA GENETICS
Our global data-sharing network generates clinically actionable insights from data to improve patient outcomes worldwide. SOPHiA GENETICS’ mission is to build the future of AI-assisted medicine. We are integrating multimodal healthcare-omics data, unlocking the existing data silos, and developing machine learning models to produce actionable insights that could eventually support healthcare professionals to improve patient outcomes. The revamped interface, new features, and cutting-edge capabilities are set to further accelerate precision medicine workflows, bringing us another step closer to democratizing data-driven medicine. Powered by AI and machine learning (ML), our global cloud-based platform provides a safe, secure, and instantly accessible environment to standardize, compute, and analyze digital health data, generating insights from complex multimodal data sets that have the potential to improve diagnosis, therapy selection, analysis, and drug development. -
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Genedata Imagence
Genedata
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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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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NVIDIA BioNeMo
NVIDIA
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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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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Panalgo
Panalgo
Panalgo’s Instant Health Data platform is a comprehensive healthcare analytics software suite built to eliminate complex programming and speed real-world data analysis for life sciences, pharmaceutical, payer, provider, government, and academic teams. It ingests diverse health data sources, including claims, electronic health records, registry data, and other real-world datasets, and converts them into a unified, analysis-ready format with a healthcare-specific data model and an extensive library of algorithms, enabling scalable, transparent, and rapid analytics without traditional coding barriers. IHD supports point-and-click analytics, custom dashboards, statistical analysis, machine learning forecasting, automated documentation, and collaborative reporting so stakeholders can explore, interpret, and share insights efficiently. Integrated components such as Ella AI provide natural-language, generative-AI assistance to build cohorts, generate insights, and make decisions. -
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Lumiata
Lumiata
We’re ushering in a new era of groundbreaking predictive analytics beginning with healthcare data management, machine learning tools and applications custom-built for the healthcare industry. Designed with the business and delivery of healthcare data in mind, Lumiata’s superior cost and risk predictions consistently outperform legacy methods and are modernizing how risk and care are managed across the broader healthcare space. From underwriting to care management to pharmaceuticals, Lumiata has you covered. Our applications and data science tools enable a flexible and collaborative partnership with payers, providers, and digital healthcare companies. Welcome to the light at the end of your AI tunnel. Equip your data science teams with the ML productivity tools they need. It all starts with our proprietary data preparation and cleansing process in which raw data is autonomously ingested, cleansed, and organized into a consumable format ready for machine learning.Starting Price: $6,000 per month -
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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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LiveDesign
Schrödinger
LiveDesign is an enterprise informatics platform that enables teams to rapidly advance drug discovery projects by collaborating, designing, experimenting, analyzing, tracking, and reporting in a centralized platform. Capture ideas alongside experimental and modeling data. Create and store new virtual compounds in a centralized database, evaluate through advanced models, and prioritize new designs. Integrate biological data and model results across federated corporate databases, apply sophisticated cheminformatics to analyze all data at once, and progress compounds faster. Drive predictions and designs using advanced physics-based methods paired with machine learning techniques to rapidly improve prediction accuracy. Work together with remote team members in real-time. Share ideas, test, revise, and advance chemical series without losing track of your work. -
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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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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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Signals Research Suite
PerkinElmer Informatics
Secure and scalable, the Suite features a modern, intuitive interface that offers scientists complete control in configuring workflows for every technique, modality, and data type. Signals VitroVivo 3.0 (formerly Signal’s Screening) easily transforms raw data into actionable results and Signals Inventa 3.0 (formerly Signals Lead Discovery) is the next-gen analytics software that enables researchers to seamlessly publish results from disparate data sources. Experimental data capture, materials management, and collaboration workflows in a user-friendly cloud-based electronic notebook. Flexible visual and automatable instrument data processing to drive data quality and reproducibility. Unified data management for scientific results combined with rich interactive analytics. Extensibility to integrate with internal and partner systems and processes. -
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NVIDIA Clara
NVIDIA
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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Mesh Bio
Mesh Bio
Based on proven medical science and explainable systems biology, DARA enables and enhances clinical decision support and intervention guidance. We work with healthcare providers and stakeholders to provide digital solutions that transform health screening and chronic disease management. We enable digital transformation of care delivery through clinical workflow automation and predictive analytics, built on gold standard clinical guidelines and best practices. We help physicians engage with patients better by providing actionable health insights through personalized disease risk and adverse event predictions. We guide pharmaceutical development by revealing pharmacodynamics in complex biological processes and find novel therapeutic interventions. Predictive analytics on multidimensional patient data will enable personalized precision medicine in the management of cardiometabolic disease to prevent catastrophic patient outcomes. -
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Semalytix Pharos
Semalytix
The cost, complexity and long timeframes associated with evidence generation through traditional approaches prevent agile research and the broader utilization of authentic patient insights in the treatment development and commercial pipelines. Our HyperStream represents the largest real-time patient experience data stream on earth. It captures the real-world digital history of diseases, as they are shared by authentic patients online. Pharos is a web-based evidence generation tool and research framework that uses its integrated data streaming and AI capabilities to efficiently capture online patient experience data and enables teams to quickly discover evidence when they need it. To date, the Pharos Suite has successfully been used to generate evidence and patient insights in multiple therapy areas and diseases. -
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XSOLIS CORTEX
XSOLIS
A new category of utilization management software, CORTEX provides a 360° approach to addressing the intricacies of utilization management and revenue cycle processes. Powered by real-time predictive analytics and machine learning engine, CORTEX ensures that the right cases are handled at the right time, by the right staff or by exception. CORTEX incorporates precision medicine upon a foundation of evidence-based medicine. Machine learning models operate in real-time to better assess your patient population. Our analytics have been deployed in hospitals and health plans across the nation. With clear inpatient cases, CORTEX does the heavy lifting by automating inpatient determinations on cases that meet your unique threshold. For difficult cases, CORTEX offers your staff the insight they need to make a strong determination. This approach offers incredible value to payers and providers alike. -
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alvaDesc
Alvascience
alvaDesc is a cheminformatics software for the calculation and analysis of molecular descriptors, fingerprints, and structural patterns for QSAR, QSPR, read-across, and machine learning applications. It computes more than 5,000 molecular descriptors (0D–3D), including constitutional, topological, geometrical, electronic, physicochemical, and fragment-based descriptors. The software also generates molecular fingerprints and structural pattern counts for similarity analysis, clustering, and classification. Integrated tools support descriptor filtering and correlation analysis for robust and reproducible modeling. alvaDesc integrates seamlessly with KNIME and Python, enabling efficient connection to external data analysis and machine learning workflows. It is widely used in academic and industrial research and supported by extensive documentation and scientific publications. -
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AQBioSim
SandboxAQ
AQBioSim is a cloud-native platform developed by SandboxAQ that leverages Large Quantitative Models (LQMs) grounded in physics and chemistry to revolutionize materials discovery and optimization. By integrating Density Functional Theory (DFT), Iterative Full Configuration Interaction (iFCI), Generative AI, Bayesian Optimization, and Chemical Foundation Models, AQBioSim enables high-fidelity simulations of molecular and material behaviors under real-world conditions. AQBioSim's capabilities include predicting performance under various stresses, accelerating formulation through in silico testing, and exploring sustainable chemical processes. Notably, AQBioSim has demonstrated significant advancements in battery technology by reducing lithium-ion battery end-of-life prediction time by 95%, achieving 35x greater accuracy with 50x less data. -
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Wayfinder
Kythera
Wayfinder is the all-in-one, SaaS big data platform for healthcare and life sciences, unifying data, analytics, and AI workloads into an ecosystem that accelerates the time to insights for the healthcare and life sciences industries. Wayfinder makes it possible to find granular insights from healthcare data faster. Built on the Databricks Lakehouse platform, Wayfinder delivers access to over 45 terabytes of de-identified, remastered claims data and meets the unique data and processing needs of the healthcare and life sciences industries at scale. With Wayfinder, you can analyze higher-quality claims data to identify rare patients, and target providers, build comprehensive patient journeys, and identify market trends, all with granular detail to inform strategies that drive differentiation and growth. Wayfinder is your big data infrastructure, so you can stop preparing and managing your data and start analyzing. -
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Oracle Healthcare Analytics
Oracle
Use the latest cloud analytics and data science technologies to analyze healthcare data and build new AI applications. Create evidence-based care models and understand how to improve patient experiences and clinician satisfaction. Reduce the cost of care and enhance population health. Oracle Autonomous Data Warehouse is a cloud data warehouse that eliminates all the complexities of operating a data warehouse and developing data-driven applications, including database management and security. Store, manage and use your data easily with a seamlessly integrated set of data ingestion, preparation, and machine learning (ML) tools. Use your insights to develop evidence-based care and precision medicine models. Empower executives, analysts, and IT staff to access business intelligence from wherever they are, in the office or at your clinics. Jump-start your analyses with automated data preparation and built-in ML. -
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DDxHub
Rustemsoft
Diagnosis is the process of determining which disease or health condition explains a person's test results and symptoms. DDxHub - Differential diagnosis Hub is the System distinguishing of a particular disease or health condition from others that present similar symptoms and lab test results. DDxHub is a concentrator that holds a lot of disease descriptions. DDxHub is useful when you try to find a right diagnosis by comparing several different possible diagnoses. You may enter your own disease definition into DDxHub repository and share the disorder descriptions with other DDxHub users around the world. In turn, you will be updated with disorder descriptions from other DDxHub users. Join the thousands healthcare professionals and patients who already love DDxHub's differential diagnosis, sync, and disorders description sharing solution. DDxHub is useful for clinical therapeutics students at medical schools as educational resource.Starting Price: $39/year/user -
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Qritive
Qritive
Making cancer diagnosis fast, accurate, and affordable. During our lifetime, 1 in 3 of us will get cancer. But cancer diagnosis is slow and expensive because doctors are not equipped with modern automated tools. Qritive provides an AI-powered solution to help doctors analyse both microscopy images and text from patient data. As a result, hospitals will be more efficient in making cancer diagnoses, allowing them to save costs. Pantheon is a CE marked vendor-agnostic digital pathology platform that enables digitization of the entire pathology lab workflow and telepathology, supports rich report generation, and provides a platform for AI analysis of pathology whole-slide images. Differentiates a wide range of benign diseases and malignancies in breast tissue. -
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Elucid
Elucid
Deliver personalized patient care with the only histologically validated, objective, and quantitative CTA-based arterial analysis software. Utilize ground-truth histology to visualize the source of myocardial ischemia and inform heart attack and stroke risk. Heart attack and stroke are primarily caused by non-obstructive, but unstable plaque in the arteries that goes undiagnosed and untreated. Current non-invasive testing cannot visualize the biology deep inside artery walls where heart disease develops. Elucid is harnessing scientific imaging and artificial intelligence to enable quick, accurate, noninvasive diagnoses and precise treatment of cardiovascular disease to enable better patient outcomes. Assess plaque composition with histology-validated software. Quantify heart attack and stroke risk with greater accuracy. Visualize a comprehensive and objective view of arterial disease to enable personalized treatment plans before a patient ever enters the hospital. -
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VivoGigs
FATbit Technologies
Build a marketplace for connecting event planners with artists/performers with VivoGigs. VivoGigs is ready to launch a marketplace solution with highly robust features to accommodate diverse customization needsStarting Price: $999.00/one-time -
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Qi Ads
Qi Ads
Qi Ads is a self-service mobile advertising platform powered by machine learning technologies. It supports mobile traffic buying with CPI and CPA payment models, providing automatic optimization for key events such as installs, registrations, ROAS, and retention. The Qi Ads inventory includes more than 20 mobile traffic sources: SSPs, ad networks, and OEM inventory, including Unity, IronSource, Mintegral, Bigo, Xiaomi, Vivo, Oppo, Transsion, and Huawei. The platform enables effortless campaign management — simply upload creatives and choose the optimization method. Qi Ads analyzes and optimizes traffic in real time. Fraud protection and transparent analytics are built in by default. There is no minimum budget requirement.Starting Price: $50 -
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AlphaFold
DeepMind
These exquisite, intricate machines are proteins. They underpin not just the biological processes in your body but every biological process in every living thing. They’re the building blocks of life. Currently, there are around 100 million known distinct proteins, with many more found every year. Each one has a unique 3D shape that determines how it works and what it does. But figuring out the exact structure of a protein remains an expensive and often time-consuming process, meaning we only know the exact 3D structure of a tiny fraction of the proteins known to science. Finding a way to close this rapidly expanding gap and predict the structure of millions of unknown proteins could not only help us tackle disease and more quickly find new medicines but perhaps also unlock the mysteries of how life itself works. -
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OEMad
OEMad.ai
OEMad.ai is a machine learning-powered OEM ad platform offering direct access to millions of users across Xiaomi, Transsion, Oppo, VIVO, Huawei, and Samsung devices worldwide. Built with event-based optimization in mind, OEMad enables advertisers to scale campaigns based on real in-app actions such as registrations, purchases, and beyond — with full transparency and no intermediaries. OEMad is your gateway to the OEM advertising ecosystem. No brokers. No workarounds. No “waiting for a reply from China.”Starting Price: $2,000/month -
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Pearl
Pearl Health
Pearl’s AI-powered platform helps care teams reduce avoidable costs, improve outcomes, and succeed in value-based care by identifying high-priority patients, prompting timely action, and fitting into existing workflows, without adding noise. Their technology unites predictive intelligence with operational execution; it prioritizes high-impact outreach and automates next steps, assesses provider readiness and cohort-risk to match participants to the right payment models, connects intelligence with action to deliver measurable improvements in clinical, financial, and operational performance, and integrates seamlessly into provider systems so teams can deliver high-quality care at scale. Its data-science and actuarial engine optimizes savings, enhances benchmarks, supports ACO REACH, MSSP, and Medicare Advantage models, and engages physicians with tools that simplify care delivery, free them from routine tasks, and support better patient-panel management. -
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alvaModel
Alvascience
alvaModel is a software tool for building, validating, comparing, and applying QSAR and QSPR models. It supports regression and classification workflows based on molecular descriptors and fingerprints, with a strong focus on model transparency, interpretability, and scientific robustness. The software includes multiple data splitting strategies, variable selection methods, modeling algorithms, and comprehensive internal and external validation procedures. alvaModel provides diagnostic plots, applicability domain analysis, and model comparison tools to support the identification of reliable and predictive models. Designed according to best practices in chemometrics, alvaModel facilitates the development of interpretable models consistent with the OECD principles for QSAR validation, making it suitable for research and regulatory-oriented applications. The graphical interface guides users through the entire modeling workflow while allowing full control over each modeling step. -
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Ember
MetiStream
Unite and free your unstructured health data Interactive AI and NLP solution delivering health insights to Providers. Payers. Life Sciences. Interactive AI and NLP solution to unlock health insights from unstructured clinical notes data for: Provider. Accelerate data abstraction from and clinical validation of information contained in clinical notes. Decrease time and reduce costs required to identify care gaps, review care quality dashboards, and generate registry reports. Payer. Integrate and analyze both claims data and clinical notes to more effectively manage high risk and high cost member cohorts. Life Sciences. Rapidly match patients to clinical trials–and vice versa–using clinical trial databases and data from clinical notes. Leverage the power of real world clinical data and evidence. Ember is an end-to-end solution at the intersection of NLP and predictive analytics. Streamline. Healthcare Analytics for Unstructured Data to Improve Quality, Efficiency, and Outcomes -
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NeuroBlu
Holmusk
Behavioral health is a fundamental and persistently overlooked aspect of overall health. Mental and substance use disorders impact a staggering 970 million people worldwide, with over US $1 trillion in global economic burden each year. Despite the skyrocketing crisis, progress has lagged behind other disease areas. Less than half of those living with major depression, the most widespread mental illness, reach remission on currently available treatments. Recent rising awareness has driven demand in a system unequipped to support the depth and breadth of need. There is a debilitating evidence gap that inhibits research and innovation, stemming from inherent limitations in behavioral health: complex disease etiologies, lack of quantifiable biomarkers, and institutional silos. Despite decades of research, we still do not know how to alleviate most behavioral health disorders. -
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Lightbeam
Lightbeam
Lightbeam provides population health enablement by transforming insights into outcomes. Closing care gaps and minimizing risks. Improving quality of care and quality of life. Lightbeam’s proven population health management platform transforms disparate data into a full 360-degree patient picture, bringing true value to value-based care. In today’s value-based care model, managing risk begins and ends with data intelligence. Lightbeam’s powerful population health management platform pulls patient data together in unprecedented ways, unlocking the value that comes from deploying the right data in the right place at the right time. Lightbeam isn’t just revolutionizing how our clients manage value-based care. It’s proving to be a game changer in driving results and saving our clients over 2 billion dollars since 2014 and we’re just getting started. Lightbeam’s tech-enabled services approach seamlessly supports these efforts. -
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care.ai
care.ai
Healthcare demands can change in an instant. Care facilities need to be responsive, prepared and equipped with technology that continually evolves and adapts. The care.ai Smart Care Facility Operating Platform transforms healthcare settings with powerful AI-enabled automation that improves processes, saves valuable time, reduces costs and eases burdens on care teams so they can focus on delivering the best patient care possible. A neural network of sensors deployed throughout the care facility continuously monitors conditions, learning from behaviors. Collecting behavioral data over time, the care facility becomes smarter and more self-aware, automating many burdensome tasks. Real-time clinical and operational insights into behaviors and conditions allow for process improvements and optimized care. -
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Gritstone
Gritstone bio
The first pillar of our immunotherapy is our understanding of antigens and neoantigens, and specifically which ones will be transcribed, translated, processed and presented on a cell surface by Human leukocyte antigen (HLA) molecules; and therefore will be visible to T cells. We accomplish this through the use of Gritstone EDGETM, our proprietary machine learning-based platform. Developing cancer immunotherapies that include tumor-specific neoantigens presents a challenge due to their nature – tumors typically have hundreds of mutations, but only a small percentage of those mutations result in true tumor-specific neoantigens that are. To address this challenge, we trained EDGE’s novel integrated neural network model architecture with millions of data points from hundreds of tumor and normal tissue samples from patients of various ancestries. -
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Dotmatics
Dotmatics
Dotmatics is the global leader in R&D scientific software that connects science, data, and decision-making. Combining a workflow and data platform with best-of-breed applications, we offer the first true end-to-end solutions for biology, chemistry, formulations, data management, flow cytometry, and more. Trusted by more than 2 million researchers from the world’s leading biopharma, chemicals and materials enterprises, and academic institutions, we are dedicated to working with the scientific community to help make the world a healthier, cleaner and safer place to live. Learn more about our platform and products, including GraphPad Prism, Geneious, SnapGene, Protein Metrics, LabArchives, and more. -
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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.
