Alternatives to Zuro
Compare Zuro alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Zuro in 2026. Compare features, ratings, user reviews, pricing, and more from Zuro competitors and alternatives in order to make an informed decision for your business.
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1
DataSet
DataSet
DataSet retains live, searchable real-time insights. Store indefinitely using DataSet-hosted or customer-managed, low-cost S3 storage. Ingest structured, semi-structured, and unstructured data faster than ever before. A limitless enterprise infrastructure for live data queries, analytics, insights, and retention, with no data schema requirements. The technology of choice for engineering, DevOps, IT, and security teams to unlock the power of data. Sub-second query performance powered by a patented parallel processing architecture. Work quicker and smarter to make better business decisions. Ingest hundreds of terabytes effortlessly. No rebalancing nodes, storage management, or resource reallocation. Scale on a limitless flexible platform. An efficient cloud-native architecture minimizes cost and maximizes output. Benefit from a predictable cost model with unmatched performance.Starting Price: $0.99 per GB per day -
2
Articul8
Articul8
Accelerate digital transformation and unlock lasting business value by rapidly transforming proprietary data into actionable insights with our full-stack GenAI platform. Rapidly develop and deploy enterprise GenAI applications with Articul8’s GenAI engine via elegant APIs, enabling effortless integration across development workflows. Articul8’s proprietary ModelMesh™, FlexLLM™ and LLM-IQ™ technologies select and orchestrate a collection of state-of-the-art (SOTA) LLMs and probabilistic models that are optimized for functionality and size, delivering tangible business outcomes and best-in-class price performance. All data store connectors required for our GenAI engines come pre-packaged and are fully supported - “batteries included”. Dynamically scale data pre-processing and ingestion to accelerate GenAI deployments. -
3
Voyage AI
MongoDB
Voyage AI provides best-in-class embedding models and rerankers designed to supercharge search and retrieval for unstructured data. Its technology powers high-quality Retrieval-Augmented Generation (RAG) by improving how relevant context is retrieved before responses are generated. Voyage AI offers general-purpose, domain-specific, and company-specific models to support a wide range of use cases. The models are optimized for accuracy, low latency, and reduced costs through shorter vector dimensions. With long-context support of up to 32K tokens, Voyage AI enables deeper understanding of complex documents. The platform is modular and integrates easily with any vector database or large language model. Voyage AI is trusted by industry leaders to deliver reliable, factual AI outputs at scale. -
4
StarWind VTL
StarWind
StarWind VTL helps businesses move beyond their costly physical tape backup processes without sacrificing regulatory data archival and retention requirements thanks to on-premises Virtual Tape Libraries with cloud and object storage tiering. Protect your backups from ransomware by keeping them “air-gapped” on virtual tapes. Replicate and tier your backups to any public cloud and use any industry-standard object storage for flexible scalability, as well as maximized security and cost-efficiency. We're happy to offer you a consumption-based licensing model for StarWind VTL. No more limitations on installations or number of backup servers. You simply pay for the amount of data managed by VTL instances running in your infrastructure. We automatically add discounts for big data sets: the bigger the archive, the better the cost per terabyte. We're rolling out the subscription model one region at a time, your sales representative can tell you more about the availability in your region. -
5
Phi-2
Microsoft
We are now releasing Phi-2, a 2.7 billion-parameter language model that demonstrates outstanding reasoning and language understanding capabilities, showcasing state-of-the-art performance among base language models with less than 13 billion parameters. On complex benchmarks Phi-2 matches or outperforms models up to 25x larger, thanks to new innovations in model scaling and training data curation. With its compact size, Phi-2 is an ideal playground for researchers, including for exploration around mechanistic interpretability, safety improvements, or fine-tuning experimentation on a variety of tasks. We have made Phi-2 available in the Azure AI Studio model catalog to foster research and development on language models. -
6
Envirosuite
Envirosuite
Make critical operational decisions in real-time while minimizing impact to the community and planet. We capture sensing data from your monitoring hardware or ours, and convert this into intuitive software interfaces for business decision support. Built with real-time insights for our customers in aviation, waste, wastewater, water treatment, mining and industries who rely on instant feedback to run their operations. Optimize operational outcomes, increase production, make tangible cost savings and build social license to operate with surrounding communities. Interpret complex environmental data at industrial operations with easy-to-use software that delivers practical information. Digital twin technology for water treatment powered by machine learning and deterministic modelling. Used by over 150 of the world’s major airports to demonstrate compliance with stakeholders and improve efficiency. -
7
Seed2.0 Pro
ByteDance
Seed2.0 Pro is an advanced general-purpose agent model designed for large-scale production environments and complex real-world tasks. It focuses on long-chain inference capabilities and stability, making it ideal for handling multi-step workflows and intricate business applications. As part of the Seed 2.0 model series, it delivers major upgrades in multimodal understanding, including visual reasoning, motion perception, and instruction-following accuracy. The model demonstrates state-of-the-art performance across leading benchmarks in mathematics, science, coding, and visual reasoning. Seed2.0 Pro excels at interactive visual applications, such as recreating webpages from a single image and generating runnable front-end code with animations. It also supports professional workflows like CAD modeling, biotechnology research assistance, and structured data extraction from complex charts. -
8
ZeroEntropy
ZeroEntropy
ZeroEntropy is a search and retrieval platform built to deliver faster, more accurate, human-level search experiences. It provides cutting-edge rerankers, embeddings, and hybrid retrieval models that go beyond traditional lexical and vector search. ZeroEntropy focuses on understanding context, nuance, and domain-specific meaning rather than just keywords. Its models consistently outperform leading alternatives on industry benchmarks. Developers can integrate ZeroEntropy quickly using a simple, production-ready API. The platform is optimized for low latency, high accuracy, and cost efficiency. ZeroEntropy enables teams to ship search systems that actually return the right answers. -
9
Iterative
Iterative
AI teams face challenges that require new technologies. We build these technologies. Existing data warehouses and data lakes do not fit unstructured datasets like text, images, and videos. AI hand in hand with software development. Built with data scientists, ML engineers, and data engineers in mind. Don’t reinvent the wheel! Fast and cost‑efficient path to production. Your data is always stored by you. Your models are trained on your machines. Existing data warehouses and data lakes do not fit unstructured datasets like text, images, and videos. AI teams face challenges that require new technologies. We build these technologies. Studio is an extension of GitHub, GitLab or BitBucket. Sign up for the online SaaS version or contact us to get on-premise installation -
10
Composer 2
Cursor
Composer 2 is an advanced AI coding model integrated into Cursor, designed to deliver high-level programming performance at a cost-efficient price. It is trained on long-horizon coding tasks, enabling it to solve complex problems that require multiple steps and actions. The model demonstrates strong improvements across key benchmarks, including Terminal-Bench and SWE-bench Multilingual. With enhanced intelligence and efficiency, it provides faster and more accurate code generation. Composer 2 combines strong performance with affordable pricing, making it accessible for developers and teams.Starting Price: $0.50/M input -
11
voyage-3-large
MongoDB
Voyage AI has unveiled voyage-3-large, a cutting-edge general-purpose and multilingual embedding model that leads across eight evaluated domains, including law, finance, and code, outperforming OpenAI-v3-large and Cohere-v3-English by averages of 9.74% and 20.71%, respectively. Enabled by Matryoshka learning and quantization-aware training, it supports embeddings of 2048, 1024, 512, and 256 dimensions, along with multiple quantization options such as 32-bit floating point, signed and unsigned 8-bit integer, and binary precision, significantly reducing vector database costs with minimal impact on retrieval quality. Notably, voyage-3-large offers a 32K-token context length, surpassing OpenAI's 8K and Cohere's 512 tokens. Evaluations across 100 datasets in diverse domains demonstrate its superior performance, with flexible precision and dimensionality options enabling substantial storage savings without compromising quality. -
12
CelerData Cloud
CelerData
CelerData is a high-performance SQL engine built to power analytics directly on data lakehouses, eliminating the need for traditional data‐warehouse ingestion pipelines. It delivers sub-second query performance at scale, supports on-the‐fly JOINs without costly denormalization, and simplifies architecture by allowing users to run demanding workloads on open format tables. Built on the open source engine StarRocks, the platform outperforms legacy query engines like Trino, ClickHouse, and Apache Druid in latency, concurrency, and cost-efficiency. With a cloud-managed service that runs in your own VPC, you retain infrastructure control and data ownership while CelerData handles maintenance and optimization. The platform is positioned to power real-time OLAP, business intelligence, and customer-facing analytics use cases and is trusted by enterprise customers (including names such as Pinterest, Coinbase, and Fanatics) who have achieved significant latency reductions and cost savings. -
13
IBM StreamSets
IBM
IBM® StreamSets enables users to create and manage smart streaming data pipelines through an intuitive graphical interface, facilitating seamless data integration across hybrid and multicloud environments. This is why leading global companies rely on IBM StreamSets to support millions of data pipelines for modern analytics, intelligent applications and hybrid integration. Decrease data staleness and enable real-time data at scale—handling millions of records of data, across thousands of pipelines within seconds. Insulate data pipelines from change and unexpected shifts with drag-and-drop, prebuilt processors designed to automatically identify and adapt to data drift. Create streaming pipelines to ingest structured, semistructured or unstructured data and deliver it to a wide range of destinations.Starting Price: $1000 per month -
14
Instill Core
Instill AI
Instill Core is an all-in-one AI infrastructure tool for data, model, and pipeline orchestration, streamlining the creation of AI-first applications. Access is easy via Instill Cloud or by self-hosting from the instill-core GitHub repository. Instill Core includes: Instill VDP: The Versatile Data Pipeline (VDP), designed for unstructured data ETL challenges, providing robust pipeline orchestration. Instill Model: An MLOps/LLMOps platform that ensures seamless model serving, fine-tuning, and monitoring for optimal performance with unstructured data ETL. Instill Artifact: Facilitates data orchestration for unified unstructured data representation. Instill Core simplifies the development and management of sophisticated AI workflows, making it indispensable for developers and data scientists leveraging AI technologies.Starting Price: $19/month/user -
15
Seedream 4.0
ByteDance
Seedream 4.0 is a next-generation multimodal AI image generation and editing model that unifies text-to-image creation and text-guided image editing within a single architecture, delivering professional-grade visuals up to 4K resolution with exceptional fidelity and speed. It’s built around an efficient diffusion transformer and variational autoencoder design that lets it interpret text prompts and reference images to produce highly detailed, consistent outputs while handling complex semantics, lighting, and structure reliably, and it offers batch generation, multi-reference support, and precise control over edits such as style, background, or object changes without degrading the rest of the scene. Seedream 4.0 demonstrates industry-leading prompt understanding, aesthetic quality, and structural stability across generation and editing tasks, outperforming earlier versions and rival models in benchmarks for prompt adherence and visual coherence. -
16
Gantry
Gantry
Get the full picture of your model's performance. Log inputs and outputs and seamlessly enrich them with metadata and user feedback. Figure out how your model is really working, and where you can improve. Monitor for errors and discover underperforming cohorts and use cases. The best models are built on user data. Programmatically gather unusual or underperforming examples to retrain your model. Stop manually reviewing thousands of outputs when changing your prompt or model. Evaluate your LLM-powered apps programmatically. Detect and fix degradations quickly. Monitor new deployments in real-time and seamlessly edit the version of your app your users interact with. Connect your self-hosted or third-party model and your existing data sources. Process enterprise-scale data with our serverless streaming dataflow engine. Gantry is SOC-2 compliant and built with enterprise-grade authentication. -
17
dRPC
dRPC
dRPC is decentralized RPC network that enhances security, reliability, and cost-efficiency for Web3 companies of all sizes. We are building the most reliable and cost-efficient Data providing solution via a decentralized platform. Automatic intelligent node balancing system, data verification, and payments in stablecoins. The economy that works for all network participants from day one via connection and utilization of existing nodes with a transparent model of the requests routing.Starting Price: $0 -
18
Personified
Personified
Personified is an LLM-powered chatbot-as-a-service. The chatbot extracts knowledge from files and data so it can provide reliable and precise answers to questions when asked. Your knowledge is not used to train our models and is not accessed by us unless explicitly required for support purposes. We view security and privacy as an ongoing responsibility that we have towards our clients and ensure that we have the correct policies in place to prevent mismanagement of data.Starting Price: €5 per month -
19
Pulze
Pulze
Pulze.ai is a no-code, enterprise-grade AI platform that allows teams to build, deploy, and manage AI-powered assistants and workflows without writing code. It centralizes access to more than 50 leading LLMs and AI models with smart routing, ensuring each request is handled by the most suitable model for optimal performance, quality, and cost-efficiency. It features a unified “Space” workspace where users can chat with AI models, upload and reference documents, perform web searches, generate images, transcribe audio, and automate tasks by creating agents and recipes, all within a single interface. Pulze supports no-code AI assistant building via templates (e.g., for support tickets, sales drafts, lead sorting), integrates with tools like Slack, Google Drive, and Jira, and maintains enterprise-grade security with SOC 2 compliance, data isolation, and zero AI provider data logging.Starting Price: $39 per month -
20
Shift Subrogation
Shift Technology
Shift Subrogation is an AI-powered SaaS product that automatically identifies, scores, and surfaces subrogation recovery opportunities for insurance companies, especially in the Property & Casualty (P&C) domain. Using a combination of structured data (policy, claim, exposures) and unstructured text (loss descriptions, adjuster notes), generative AI and other models assess liability, apply relevant state/negligence law, compare exposures, take into account statute of limitations and jurisdiction rules, and reference external data sources (e.g., product recalls). It generates alerts with a score and rationale for each recovery opportunity, so handlers know not just which cases to pursue but why. The system supports continuous monitoring of claims as they evolve (for example, recognizing new information added later) and updates alerts if the recoverability changes. -
21
Google Cloud Datalab
Google
An easy-to-use interactive tool for data exploration, analysis, visualization, and machine learning. Cloud Datalab is a powerful interactive tool created to explore, analyze, transform, and visualize data and build machine learning models on Google Cloud Platform. It runs on Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks. Cloud Datalab is built on Jupyter (formerly IPython), which boasts a thriving ecosystem of modules and a robust knowledge base. Cloud Datalab enables analysis of your data on BigQuery, AI Platform, Compute Engine, and Cloud Storage using Python, SQL, and JavaScript (for BigQuery user-defined functions). Whether you're analyzing megabytes or terabytes, Cloud Datalab has you covered. Query terabytes of data in BigQuery, run local analysis on sampled data, and run training jobs on terabytes of data in AI Platform seamlessly. -
22
Gemma 2
Google
A family of state-of-the-art, light-open models created from the same research and technology that were used to create Gemini models. These models incorporate comprehensive security measures and help ensure responsible and reliable AI solutions through selected data sets and rigorous adjustments. Gemma models achieve exceptional comparative results in their 2B, 7B, 9B, and 27B sizes, even outperforming some larger open models. With Keras 3.0, enjoy seamless compatibility with JAX, TensorFlow, and PyTorch, allowing you to effortlessly choose and change frameworks based on task. Redesigned to deliver outstanding performance and unmatched efficiency, Gemma 2 is optimized for incredibly fast inference on various hardware. The Gemma family of models offers different models that are optimized for specific use cases and adapt to your needs. Gemma models are large text-to-text lightweight language models with a decoder, trained in a huge set of text data, code, and mathematical content. -
23
5X
5X
5X is an all-in-one data platform that provides everything you need to centralize, clean, model, and analyze your data. Designed to simplify data management, 5X offers seamless integration with over 500 data sources, ensuring uninterrupted data movement across all your systems with pre-built and custom connectors. The platform encompasses ingestion, warehousing, modeling, orchestration, and business intelligence, all rendered in an easy-to-use interface. 5X supports various data movements, including SaaS apps, databases, ERPs, and files, automatically and securely transferring data to data warehouses and lakes. With enterprise-grade security, 5X encrypts data at the source, identifying personally identifiable information and encrypting data at a column level. The platform is designed to reduce the total cost of ownership by 30% compared to building your own platform, enhancing productivity with a single interface to build end-to-end data pipelines.Starting Price: $350 per month -
24
Claude Opus 3
Anthropic
Opus, our most intelligent model, outperforms its peers on most of the common evaluation benchmarks for AI systems, including undergraduate level expert knowledge (MMLU), graduate level expert reasoning (GPQA), basic mathematics (GSM8K), and more. It exhibits near-human levels of comprehension and fluency on complex tasks, leading the frontier of general intelligence. All Claude 3 models show increased capabilities in analysis and forecasting, nuanced content creation, code generation, and conversing in non-English languages like Spanish, Japanese, and French.Starting Price: Free -
25
DDN IntelliFlash
DDN Storage
IntelliFlash systems from DDN and Tintri combine the performance and attractive economics for full-service intelligent storage infrastructure that autonomously optimizes SSD-to-HDD ratios and delivers scalable performance. A variety of time-saving management features provide outstanding support for enterprise applications. Consolidate workloads with concurrent multiprotocol support for block, file and object storage, and VMs on a single system. These systems also enhance cost-efficiency with data reduction technologies, near-instant backups and robust disaster protection, and powerful analytics software for faster data insights. Solutions such as DDN A³I addresses unstructured data management and the data-intensive nature of those applications. Call and transaction records, consumer behavior, and other structured data types also benefit from high performance and scalable architectures. -
26
Hydrolix
Hydrolix
Hydrolix is a streaming data lake that combines decoupled storage, indexed search, and stream processing to deliver real-time query performance at terabyte-scale for a radically lower cost. CFOs love the 4x reduction in data retention costs. Product teams love 4x more data to work with. Spin up resources when you need them and scale to zero when you don’t. Fine-tune resource consumption and performance by workload to control costs. Imagine what you can build when you don’t have to sacrifice data because of budget. Ingest, enrich, and transform log data from multiple sources including Kafka, Kinesis, and HTTP. Return just the data you need, no matter how big your data is. Reduce latency and costs, eliminate timeouts, and brute force queries. Storage is decoupled from ingest and query, allowing each to independently scale to meet performance and budget targets. Hydrolix’s high-density compression (HDX) typically reduces 1TB of stored data to 55GB.Starting Price: $2,237 per month -
27
Neysa Nebula
Neysa
Nebula allows you to deploy and scale your AI projects quickly, easily and cost-efficiently2 on highly robust, on-demand GPU infrastructure. Train and infer your models securely and easily on the Nebula cloud powered by the latest on-demand Nvidia GPUs and create and manage your containerized workloads through Nebula’s user-friendly orchestration layer. Access Nebula’s MLOps and low-code/no-code engines to build and deploy AI use cases for business teams and to deploy AI-powered applications swiftly and seamlessly with little to no coding. Choose between the Nebula containerized AI cloud, your on-prem environment, or any cloud of your choice. Build and scale AI-enabled business use-cases within a matter of weeks, not months, with the Nebula Unify platform.Starting Price: $0.12 per hour -
28
Alactic AGI
Alactic Inc.
Alactic AGI is a cloud-native AI platform that automates the ingestion, grounding, and transformation of unstructured data—such as URLs, PDFs, images, and documents—into production-ready datasets for Large Language Models. It enables reliable AI workflows by ensuring contextual accuracy, scalability, and enterprise-grade security, helping teams build, fine-tune, and deploy AI systems faster and with greater confidence.Starting Price: $99 -
29
Arthur AI
Arthur
Track model performance to detect and react to data drift, improving model accuracy for better business outcomes. Build trust, ensure compliance, and drive more actionable ML outcomes with Arthur’s explainability and transparency APIs. Proactively monitor for bias, track model outcomes against custom bias metrics, and improve the fairness of your models. See how each model treats different population groups, proactively identify bias, and use Arthur's proprietary bias mitigation techniques. Arthur scales up and down to ingest up to 1MM transactions per second and deliver insights quickly. Actions can only be performed by authorized users. Individual teams/departments can have isolated environments with specific access control policies. Data is immutable once ingested, which prevents manipulation of metrics/insights. -
30
NVIDIA Isaac
NVIDIA
NVIDIA Isaac is an AI robot development platform that comprises NVIDIA CUDA-accelerated libraries, application frameworks, and AI models to expedite the creation of AI robots, including autonomous mobile robots, robotic arms, and humanoids. The platform features NVIDIA Isaac ROS, a collection of CUDA-accelerated computing packages and AI models built on the open source ROS 2 framework, designed to streamline the development of advanced AI robotics applications. Isaac Manipulator, built on Isaac ROS, enables the development of AI-powered robotic arms that can seamlessly perceive, understand, and interact with their environments. Isaac Perceptor facilitates the rapid development of advanced AMRs capable of operating in unstructured environments like warehouses or factories. For humanoid robotics, NVIDIA Isaac GR00T serves as a research initiative and development platform for general-purpose robot foundation models and data pipelines. -
31
GPS Enterprise
Analytic Partners
Analytic Partners delivers a unified commercial analytics platform, GPS Enterprise (GPS‑E), that integrates marketing, sales, financial, operational, and external data to produce a holistic, actionable view of business performance. It uses a proprietary intelligence layer called ROI Genome, drawing on over 25 years of cross-industry data and analytics experience to reveal the true drivers behind growth and to uncover revenue opportunities beyond marketing. With GPS-E, companies can build always-on, adaptive models that go beyond traditional Marketing Mix Modeling (MMM) by incorporating non-marketing variables such as competitive actions, customer trends, macroeconomic factors, and operational inputs, recognizing that a large portion of growth often comes from outside just advertising spend. It features streamlined data orchestration via a module called ADAPTA to automate data ingestion, validation, and standardization across agencies and business units. -
32
Wayve
Wayve
Wayve is an autonomous driving technology platform that develops AI foundation models to power next-generation self-driving vehicles through its Embodied AI approach. Wayve’s core innovation is a self-learning “AI driver” that enables vehicles to perceive, predict, and navigate complex real-world environments by learning from experience rather than relying on hand-coded rules or high-definition maps. Using primarily camera data and deep learning, the system builds a general-purpose driving intelligence that can adapt to new roads, cities, and vehicles with minimal retraining. Wayve’s mapless, hardware-agnostic architecture allows automakers to deploy advanced driver assistance and autonomous capabilities through software upgrades, supporting automation levels from L2+ to L4. It is designed to learn continuously from real-world and simulated data, enabling safe, natural driving behavior and improved handling of unexpected situations. -
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Aware
Aware
Aware transforms digital conversation data from Slack, Teams, Zoom, and more into real-time insights that uncover risk and deliver organizational intelligence, at scale. Digital conversations exist in every corner of your organization. Real-time collaboration is the new workflow, and social connections, for your employees, and the fastest-growing dataset in your business. This unstructured dataset has its own language and emotions. Authentic, impulsive, consumer-like messages are composed, edited, and delivered in 5 words or less. Filled with emojis, abbreviations, and multimedia messages in private, direct, and public channels across countless collaboration platforms. Traditional technology doesn’t understand the context of the nuanced dataset and unique behavior. Aware makes sense of this data, surfacing costly, unforeseen risks, and revealing insights that unlock innovation and business value. Aware brings contextualized intelligence to your business, at scale. -
34
Pienso
Pienso
Creating a topic model from scratch takes advanced programming know-how. This expertise is expensive, and supersedes the knowledge that matters most: familiarity with your data. Labeling your own training data is slow, tedious, and costly. Farming it out to workers paid a low wage is faster and cheaper, but compromises accuracy and nuance. Either approach leaves you stuck with a fixed taxonomy that's hard to evolve. It’s time to stop tagging. Free subject matter experts to model and analyze their own data. You've got mountains of text data, filled with insights just waiting to be mined. And Pienso is here to help. Pienso is designed to train models with your own data, because we know that works best. Whether your data is unstructured or semi-structured, long or short, Pienso can help you parse it into insight. -
35
DNIF HYPERCLOUD
DNIF
DNIF provides a high value solution by combining technologies such as the SIEM, UEBA and SOAR into one product at an extremely low total cost of ownership. DNIF's hyper scalable data lake makes it ideal to ingest and store terabytes of data. Detect suspicious activity using statistics and take action before any damage occurs. Orchestrate processes, people and technology initiatives from a single security dashboard. Your SIEM will come built-in with essential dashboards, reports and response workflows. Coverage for threat hunting, compliance, user behavior monitoring and network traffic anomaly. In-depth coverage map with the MITRE ATT&CK and CAPEC framework. Maximize your logging capacity without fretting over costs—double, perhaps even triple your capacity with your existing budget. With the HYPERCLOUD, the fear of overlooking crucial information is a thing of the past. Log everything, leave nothing behind.Starting Price: $0.76/GB -
36
Jurassic-2
AI21
Announcing the launch of Jurassic-2, the latest generation of AI21 Studio’s foundation models, a game-changer in the field of AI, with top-tier quality and new capabilities. And that's not all, we're also releasing our task-specific APIs, with plug-and-play reading and writing capabilities that outperform competitors. Our focus at AI21 Studio is to help developers and businesses leverage reading and writing AI to build real-world products with tangible value. Today marks two important milestones with the release of Jurassic-2 and Task-Specific APIs, empowering you to bring generative AI to production. Jurassic-2 (or J2, as we like to call it) is the next generation of our foundation models with significant improvements in quality and new capabilities including zero-shot instruction-following, reduced latency, and multi-language support. Task-specific APIs provide developers with industry-leading APIs that perform specialized reading and writing tasks out-of-the-box.Starting Price: $29 per month -
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Data Lakes on AWS
Amazon
Many Amazon Web Services (AWS) customers require a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is a new and increasingly popular way to store and analyze data because it allows companies to manage multiple data types from a wide variety of sources, and store this data, structured and unstructured, in a centralized repository. The AWS Cloud provides many of the building blocks required to help customers implement a secure, flexible, and cost-effective data lake. These include AWS managed services that help ingest, store, find, process, and analyze both structured and unstructured data. To support our customers as they build data lakes, AWS offers the data lake solution, which is an automated reference implementation that deploys a highly available, cost-effective data lake architecture on the AWS Cloud along with a user-friendly console for searching and requesting datasets. -
38
LFM2
Liquid AI
LFM2 is a next-generation series of on-device foundation models built to deliver the fastest generative-AI experience across a wide range of endpoints. It employs a new hybrid architecture that achieves up to 2x faster decode and prefill performance than comparable models, and up to 3x improvements in training efficiency compared to the previous generation. These models strike an optimal balance of quality, latency, and memory for deployment on embedded systems, allowing real-time, on-device AI across smartphones, laptops, vehicles, wearables, and other endpoints, enabling millisecond inference, device resilience, and full data sovereignty. Available in three dense checkpoints (0.35 B, 0.7 B, and 1.2 B parameters), LFM2 demonstrates benchmark performance that outperforms similarly sized models in tasks such as knowledge recall, mathematics, multilingual instruction-following, and conversational dialogue evaluations. -
39
Vellum
Vellum AI
Bring LLM-powered features to production with tools for prompt engineering, semantic search, version control, quantitative testing, and performance monitoring. Compatible across all major LLM providers. Quickly develop an MVP by experimenting with different prompts, parameters, and even LLM providers to quickly arrive at the best configuration for your use case. Vellum acts as a low-latency, highly reliable proxy to LLM providers, allowing you to make version-controlled changes to your prompts – no code changes needed. Vellum collects model inputs, outputs, and user feedback. This data is used to build up valuable testing datasets that can be used to validate future changes before they go live. Dynamically include company-specific context in your prompts without managing your own semantic search infra. -
40
Dimension Labs
Dimension Labs
Dimension Labs is a customer observability and language data infrastructure platform built to turn unstructured conversational data from sources like chat, email, voice, surveys, and social media into structured, analytics-ready insights. It eliminates the need for manual tagging by using AI-driven enrichment and dynamic labeling to surface evolving themes, customer sentiment, escalation causes, and feature requests. By unifying omni-channel inputs under a common model, the platform supports real-time dashboards, drill-downs, and context-aware analytics, letting teams explore root causes, monitor emerging trends, and connect conversation metrics with business outcomes. Dimension Labs integrates via APIs or one-click connectors with chat tools, CRMs, contact centers, surveys, and social platforms, allowing seamless ingestion from sources like Intercom, Twilio, Slack, and more. -
41
Lyric
Lyric
Lyric is a unified, four-layer supply chain decision intelligence platform that enables organizations to model, plan, and operate their supply chains at the speed of business. Its data layer offers enterprise-grade data management with preconfigured integrations and powerful transformation capabilities for seamless scaling. The algorithms layer provides out-of-the-box engines to model and optimize networks, transportation, and inventory, alongside a composable modeling environment that lets analysts integrate data, extend science, and deliver tailored interfaces. The workflows layer empowers users to orchestrate and innovate with ready-made apps, configurable processes, and flexible science-as-a-service integrations that retrofit to existing systems. The models & apps layer accelerates planning and execution by democratizing decision science, surfacing forecasting, routing, scheduling, and forensics tools in business-digestible formats to drive continuous improvement. -
42
Mistral Medium 3
Mistral AI
Mistral Medium 3 is a powerful AI model designed to deliver state-of-the-art performance at a fraction of the cost compared to other models. It offers simpler deployment options, allowing for hybrid or on-premises configurations. Mistral Medium 3 excels in professional applications like coding and multimodal understanding, making it ideal for enterprise use. Its low-cost structure makes it highly accessible while maintaining top-tier performance, outperforming many larger models in specific domains.Starting Price: Free -
43
Ori GPU Cloud
Ori
Launch GPU-accelerated instances highly configurable to your AI workload & budget. Reserve thousands of GPUs in a next-gen AI data center for training and inference at scale. The AI world is shifting to GPU clouds for building and launching groundbreaking models without the pain of managing infrastructure and scarcity of resources. AI-centric cloud providers outpace traditional hyperscalers on availability, compute costs and scaling GPU utilization to fit complex AI workloads. Ori houses a large pool of various GPU types tailored for different processing needs. This ensures a higher concentration of more powerful GPUs readily available for allocation compared to general-purpose clouds. Ori is able to offer more competitive pricing year-on-year, across on-demand instances or dedicated servers. When compared to per-hour or per-usage pricing of legacy clouds, our GPU compute costs are unequivocally cheaper to run large-scale AI workloads.Starting Price: $3.24 per month -
44
NVIDIA Isaac GR00T
NVIDIA
NVIDIA Isaac GR00T (Generalist Robot 00 Technology) is a research-driven platform for developing general-purpose humanoid robot foundation models and data pipelines. It includes models like Isaac GR00T-N, and synthetic motion blueprints, GR00T-Mimic for augmenting demonstrations, and GR00T-Dreams for generating novel synthetic trajectories, to accelerate humanoid robotics development. Recently, the open source Isaac GR00T N1 foundation model debuted, featuring a dual-system cognitive architecture, a fast-reacting “System 1” action model, and a deliberative, language-enabled “System 2” reasoning model. The updated GR00T N1.5 introduces enhancements such as improved vision-language grounding, better language command following, few-shot adaptability, and new robot embodiment support. Together with tools like Isaac Sim, Lab, and Omniverse, GR00T empowers developers to train, simulate, post-train, and deploy adaptable humanoid agents using both real and synthetic data.Starting Price: Free -
45
Nemotron 3 Nano
NVIDIA
Nemotron 3 Nano is the smallest model in the NVIDIA Nemotron 3 family, built for agentic AI applications with strong reasoning, conversational ability, and cost-efficient inference. It is a hybrid Mamba-Transformer Mixture-of-Experts model with 3.2 billion active parameters, 3.6 billion including embeddings, and 31.6 billion total parameters. NVIDIA describes it as more accurate than the previous Nemotron 2 Nano while activating less than half of the parameters per forward pass, improving efficiency without sacrificing performance. The model is positioned as more accurate than GPT-OSS-20B and Qwen3-30B-A3B-Thinking-2507 on popular benchmarks across different categories. On an 8K input and 16K output setting using a single H200, it delivers inference throughput 3.3 times higher than Qwen3-30B-A3B and 2.2 times higher than GPT-OSS-20B. Nemotron 3 Nano supports context lengths up to 1 million tokens and is reported to outperform GPT-OSS-20B and Qwen3-30B-A3B-Instruct-2507. -
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NLWeb
Microsoft
NLWeb is an open project developed by Microsoft that aims to make it simple to create a rich, natural language interface for websites using the model of their choice and their own data. Our goal is for NLWeb, short for Natural Language Web, to be the fastest and easiest way to effectively turn your website into an AI app, allowing users to query the contents of the site by directly using natural language, just like with an AI assistant or Copilot. Every NLWeb instance is also a Model Context Protocol (MCP) server, allowing websites to make their content discoverable and accessible to agents and other participants in the MCP ecosystem if they choose. NLWeb leverages semi-structured formats like Schema.org, RSS, and other data that websites already publish, combining them with LLM-powered tools to create natural language interfaces usable by both humans and AI agents. -
47
Xurmo
Xurmo
Even the best prepared data-driven organizations are challenged by the growing volume, velocity and variety of data. As expectations from analytics grow, infrastructure, time and people resources become increasingly limited. Xurmo addresses these limitations with an easy-to-use, self-service product. Configure and ingest any & all data from one single interface. Xurmo will consume structured or unstructured data of any kind and automatically bring it to analysis. Let Xurmo take on the heavy lifting and help you configure intelligence. From building analytical models to deploying them in automation mode, Xurmo supports interactively. Automate intelligence from even complex, dynamically changing data. Analytical models built on Xurmo can be configured and deployed in automation mode across data environments. -
48
Gemini 2.5 Flash
Google
Gemini 2.5 Flash is a powerful, low-latency AI model introduced by Google on Vertex AI, designed for high-volume applications where speed and cost-efficiency are key. It delivers optimized performance for use cases like customer service, virtual assistants, and real-time data processing. With its dynamic reasoning capabilities, Gemini 2.5 Flash automatically adjusts processing time based on query complexity, offering granular control over the balance between speed, accuracy, and cost. It is ideal for businesses needing scalable AI solutions that maintain quality and efficiency. -
49
Llama 4 Behemoth
Meta
Llama 4 Behemoth is Meta's most powerful AI model to date, featuring a massive 288 billion active parameters. It excels in multimodal tasks, outperforming previous models like GPT-4.5 and Gemini 2.0 Pro across multiple STEM-focused benchmarks such as MATH-500 and GPQA Diamond. As the teacher model for the Llama 4 series, Behemoth sets the foundation for models like Llama 4 Maverick and Llama 4 Scout. While still in training, Llama 4 Behemoth demonstrates unmatched intelligence, pushing the boundaries of AI in fields like math, multilinguality, and image understanding.Starting Price: Free -
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Galactica
Meta
Information overload is a major obstacle to scientific progress. The explosive growth in scientific literature and data has made it ever harder to discover useful insights in a large mass of information. Today scientific knowledge is accessed through search engines, but they are unable to organize scientific knowledge alone. Galactica is a large language model that can store, combine and reason about scientific knowledge. We train on a large scientific corpus of papers, reference material, knowledge bases and many other sources. We outperform existing models on a range of scientific tasks. On technical knowledge probes such as LaTeX equations, Galactica outperforms the latest GPT-3 by 68.2% versus 49.0%. Galactica also performs well on reasoning, outperforming Chinchilla on mathematical MMLU by 41.3% to 35.7%, and PaLM 540B on MATH with a score of 20.4% versus 8.8%.
