Alternatives to Jev
Compare Jev alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Jev in 2026. Compare features, ratings, user reviews, pricing, and more from Jev competitors and alternatives in order to make an informed decision for your business.
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1
Prisma
Prisma.io
Building the data layer for modern applications. Prisma replaces traditional ORMs. Simplified & type-safe database access. Declarative migrations & data modeling. Powerful & visual data management. Auto-generated and type-safe database client. Prisma client simplifies database access. It lets you read and write data to your database using your favorite programming language. Prisma makes it easy to implement GraphQL servers. Learn how to use the Prisma client to access your database inside your resolvers. -
2
WunderGraph Cosmo
WunderGraph
WunderGraph is an open source, next-generation API platform designed to unify, manage, and accelerate how developers compose, integrate, and serve APIs from diverse backends (such as REST, gRPC, Kafka, and GraphQL) into a single, type-safe, high-performance API surface that modern applications can consume. It includes Cosmo, a full lifecycle API management solution for federated GraphQL that provides schema registry, composition checks, routing, analytics, metrics, tracing, and observability, all manageable via code in your existing development workflows rather than separate dashboards. WunderGraph lets teams define how multiple services should be composed into one API, automatically generate type-safe client libraries, and handle authentication, authorization, and API calls with built-in tooling that fits into CI/CD and Git-centric processes.Starting Price: $499 per month -
3
next-forge
Vercel
A mono repo template designed to have everything you need to build your new SaaS app as quickly as possible. Authentication, billing, analytics, SEO, database, ORM, and more, it's all here. Start building your app with a shadcn/ui template that's already set up with everything you need, Tailwind, Clerk, and more. Create an API microservice for many different apps, with a type-safe database ORM. Create and preview email templates with a React-based email library. A blocks website template with a type-safe blog, bulletproof SEO, and legal pages, powered by Content Collections. Simple, beautiful out of the box, and easy-to-maintain documentation. Use Prisma Studio to visualize your database, and generate Prisma client code. Get from zero to production in minutes. -
4
Contentlayer
Contentlayer
Contentlayer is a content preprocessor that validates and transforms your content into type-safe JSON, which you can easily import into your application. It provides a seamless abstraction between your Markdown files or CMS and your application, allowing you to import and manipulate your content as data directly with JavaScript or TypeScript methods. This eliminates the need to learn new query languages or navigate complex APIs. Contentlayer ensures that your data is properly structured across your application by automatically generating type definitions and configurable data validations. It supports integration with various site frameworks and content sources, including MDX, Notion, and Sanity. By facilitating incremental and parallel builds, instant content live-reload, and scalability to handle thousands of documents, Contentlayer enhances both developer experience and application performance. -
5
Hypertune
Hypertune
Hypertune is the most flexible platform for feature flags, A/B testing, analytics and app configuration. Built with full end-to-end type-safety, Git-style version control and local, synchronous, in-memory flag evaluation. - Define type-safe, custom inputs like the current User, Organization, etc, and use them in feature flag rules to target exactly the users you want. - Create variables like user segments that you can reuse across different feature flags, and instantly debug flags for each user. - A/B tests, percentage-based rollouts, multivariate tests and machine learning loops let you seamlessly rollout, test and optimize new features. - Log analytics events with type-safe, custom payloads, and build flexible funnels and charts in the dashboard to measure the impact of every feature release. - Initialize the SDK with only the feature flags you need and partially evaluate flag logic on the edge for performance and security.Starting Price: $0 -
6
PydanticAI
Pydantic
PydanticAI is a Python-based agent framework designed to simplify the development of production-grade applications using generative AI. Built by the team behind Pydantic, the framework integrates seamlessly with popular AI models such as OpenAI, Anthropic, Gemini, and others. It offers type-safe design, real-time debugging, and performance monitoring through Pydantic Logfire. PydanticAI also provides structured responses by leveraging Pydantic to validate model outputs, ensuring consistency. The framework includes a dependency injection system to support iterative development and testing, as well as the ability to stream LLM outputs for rapid validation. It is ideal for AI-driven projects that require flexible and efficient agent composition using standard Python best practices. We built PydanticAI with one simple aim: to bring that FastAPI feeling to GenAI app development.Starting Price: Free -
7
Fern
Fern
Stripe-level SDKs and Docs for your API. Offer type-safe SDKs in the most popular languages. Let Fern do the heavy lifting of generating and publishing client libraries so your team can focus on building the API. Import your API definition, whether it's in OpenAPI or Fern's simpler format. Select which code generators you'd like to use: TypeScript, Python, Java, Go, Ruby, C#, Swift. Fern semantically versions and publishes packages to each registry (e.g. npm, pypi, maven). Beautiful API documentation that reflects your brand.Starting Price: $250 per month -
8
C#
Microsoft
C# (also known as C Sharp, pronounced "See Sharp") is a modern, object-oriented, and type-safe programming language. C# enables developers to build many types of secure and robust applications that run in .NET. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers. This tour provides an overview of the major components of the language in C# 8 and earlier. C# is an object-oriented, component-oriented programming language. C# provides language constructs to directly support these concepts, making C# a natural language in which to create and use software components. Since its origin, C# has added features to support new workloads and emerging software design practices. At its core, C# is an object-oriented language. You define types and their behavior.Starting Price: Free -
9
Streamline and simplify Kubernetes (north-south) network traffic management, delivering consistent, predictable performance at scale without slowing down your apps. Advanced app‑centric configuration – Use role‑based access control (RBAC) and self‑service to set up security guardrails (not gates), so your teams can manage their apps securely and with agility. Enable multi‑tenancy, reusability, simpler configs, and more. A native, type‑safe, and indented configuration style to simplify capabilities like circuit breaking, sophisticated routing, header manipulation, mTLS authentication, and WAF. Plus if you’re already using NGINX, NGINX Ingress resources make it easy to adapt existing configuration from your other environments.
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10
ent
ent
An entity framework for Go. Simple, yet powerful ORM for modeling and querying data. Simple API for modeling any database schema as Go objects. Run queries, and aggregations and traverse any graph structure easily. 100% statically typed and explicit API using code generation. The latest version of Ent now includes a type-safe API enabling ordering by fields and edges. This API will soon be available in our GraphQL integration too. You can now visualize your Ent schema as an ERD with one command. The API enables you to easily integrate features such as logging, tracing, caching, and even implementing soft deletion with 20 lines of code! The Ent framework supports GraphQL using the 99designs/gqlgen library and provides various integrations. Generating a GraphQL schema for nodes and edges defined in an Ent schema. Efficient field collection to overcome the N+1 problem without requiring data loaders.Starting Price: Free -
11
ManyPI
ManyPI
ManyPI is a modern web data extraction and API generation platform that turns any website into a type-safe, structured API with schema definition, extraction, transformation, and synchronization built into one system, enabling developers and data teams to reliably gather clean JSON data without building custom scrapers. Its AI-powered workflow lets users specify a site and the fields they need, automatically defines a schema with risk assessment, generates a production-ready API in seconds, and delivers structured data through a RESTful, developer-friendly interface with SDKs, type safety, and predictable JSON responses. ManyPI supports scalable extraction tasks, global infrastructure for performance and uptime, and integration into existing apps or pipelines via code or dashboard, and it also provides visual schema building and connectors for no-code platforms like Zapier and Make, so workflows can automate data collection, enrichment, and reporting without heavy engineering.Starting Price: $5 per month -
12
TypeGPU
Software Mansion
TypeGPU is a TypeScript library that enhances the WebGPU API, allowing resource management in a type-safe, declarative way. It is designed to change the way developers work with GPU rendering and computing by bringing stronger structure, validation, and developer experience to WebGPU workflows. TypeGPU helps developers easily encode and decode GPU data, using typed binary so they do not have to think about raw bytes when writing GPU programs. Complex data types such as structs and arrays can be described directly, while TypeScript automatically validates outgoing and incoming data. It works on React Native through react-native-wgpu, expanding WebGPU development beyond the browser. TypeGPU’s roadmap is focused on end-to-end type safety on the GPU through interoperating primitives such as data structures, buffers, bind groups, a linker, functions, pipelines, and imperative code. -
13
Oorian
Corvus Engineering
Oorian is a server-side Java web framework for building interactive web applications without writing JavaScript. HTML elements are Java objects with type-safe styling, events are handled with standard Java listeners, and real-time updates flow automatically via AJAX, SSE, or WebSocket—your choice per page. Rather than reinventing UI components, Oorian wraps best-of-breed JavaScript libraries (AG Grid, Syncfusion, Chart.js, and 150+ more), so you get enterprise-grade components maintained by specialists. Battle-tested in production for over 10 years, Oorian is free for non-commercial use with commercial licensing available. -
14
Celeris-1
Celeris-1
Celeris-1 is a low-latency, general-purpose language model platform and a diffusion model designed to deliver frontier-level intelligence at dramatically higher speed. Instead of generating one token at a time like traditional autoregressive models, Celeris uses a diffusion-based inference architecture that enables parallel generation and response times measured in milliseconds. On its published MMLU-Pro benchmark, Celeris-1 reaches 75.9 accuracy with a 158 ms median response time and 1,664 output tokens per second, placing it within a few points of frontier models while running more than 10x faster. The model is exposed through an OpenAI-compatible API, so developers can point existing SDKs and clients at Celeris with minimal code changes. Streaming is enabled for interactive applications, with responses as low as 24 ms and no buffering or batch delay.Starting Price: $0.20 per 1M tokens -
15
BaseHub
BaseHub
BaseHub is a fast, collaborative, AI-native headless content management system that provides a modern content workflow optimized for speed, developer experience, and real-time teamwork, letting teams create, organize, collaborate on, and deliver content across digital platforms with ease. It offers a Notion-like editor built on blocks that support drag-and-drop content creation, nested structures, versioning, and branching workflows, so teams can experiment on branches, review changes, and merge updates into main content with confidence while retaining launch-ready history. BaseHub includes a type-safe GraphQL API and SDKs that enable developers to integrate content programmatically and query repositories from frameworks like Next.js or SvelteKit with minimal setup, supporting both dynamic and static content delivery.Starting Price: $15 per month -
16
Speakeasy
Speakeasy
Speakeasy is a platform that enhances API integration by generating handwritten, type-safe SDKs in over nine programming languages, including TypeScript, Python, Go, Java, and C#. These SDKs improve API integration times by up to 60% by eliminating the need for users to write boilerplate code, reducing common implementation errors, and expanding API accessibility across various programming communities. The platform also simplifies the creation of Terraform providers, allowing for the definition of resources and operations, automatic validation from OpenAPI specifications, and handling complex API landscapes. Additionally, Speakeasy offers end-to-end testing workflows to enforce API standards and protect against breaking changes, as well as SDK documentation that remains up-to-date with compilable usage snippets for every SDK method. Trusted by top API companies, Speakeasy's solutions are designed to provide robust SDKs, Terraform providers, and comprehensive testing tools.Starting Price: $250 per month -
17
Stepsailor
Stepsailor
Stepsailor is an AI-powered platform designed to transform customer education by integrating immersive learning experiences directly into your product. At its core is the AI command bar, which allows users to execute complex, multi-step workflows by simply describing their goals in natural language, eliminating the need for prompt engineering. This feature enables actions like creating continent-specific folders or automating repetitive tasks with ease. Stepsailor's type-safe SDK ensures that product teams can define commands using their existing coding knowledge, facilitating seamless integration without a steep learning curve. Stepsailor also provides valuable insights into user behavior by analyzing commands, helping teams identify pain points, and improving product experiences. With built-in human-in-the-loop concepts, schema validation, and data isolation, it maintains control and reliability in AI interactions.Starting Price: $35 per month -
18
Visual Basic
Microsoft
Visual Basic is an object-oriented programming language developed by Microsoft. Using Visual Basic makes it fast and easy to create type-safe .NET apps. Visual Basic focuses on supplying more of the features of the Visual Basic Runtime (microsoft.visualbasic.dll) to .NET Core and is the first version of Visual Basic focused on .NET Core. Many portions of the Visual Basic Runtime depend on WinForms and these will be added in a later version of Visual Basic. .NET is a free, open-source development platform for building many kinds of apps. With .NET, your code and project files look and feel the same no matter which type of app you're building. You have access to the same runtime, API, and language capabilities with each app. A Visual Basic program is built up from standard building blocks. A solution comprises one or more projects. A project in turn can contain one or more assemblies. Each assembly is compiled from one or more source files.Starting Price: Free -
19
Solarch
Solarch
Solarch is a backend-architecture tool where diagrams compile, validate, self-correct, document, and ship. Most AI tools generate code and hope the architecture catches up; Solarch flips that by generating architecture first, grounded in canonical patterns, validated by a strict Rules Engine, and refined through a self-correcting loop. The AI proposes, the rules verify, and only correct graphs land on the canvas. Users can type a sentence or sketch a box, and Solarch turns the intent in their head into a validated architecture, then turns that architecture into working code. The whole backend lives on a single surface, grounded by an AI architect, kept honest by rules, and type-safe end to end. Controllers, services, repositories, tables, DTOs, queues, and other backend parts are represented as node and edge graphs, with 8 node families and 16 semantic edge types.Starting Price: $5 per month -
20
Velite
Velite
Velite is a tool for building a type-safe data layer, transforming content files such as Markdown, MDX, YAML, JSON, or others into an application's data layer using Zod schemas. It offers out-of-the-box functionality, enabling developers to move content into a designated folder, define collection schemas, run Velite, and utilize the output data within their applications. By providing content field validation based on Zod schemas and auto-generating TypeScript types, Velite ensures type safety across the application. Its lightweight and efficient design leads to faster startup times and improved performance. Additionally, Velite includes built-in asset processing features, such as relative path resolving and image optimization, to streamline content management. Lightweight, high efficiency, still powerful, faster startup, and better performance. Built-in assets processing, such as relative path resolving, image optimization, etc. -
21
Sentio
Sentio
End-to-end observability platform to help you gain insights, secure assets and troubleshoot transactions for your decentralized applications. Use our type-safe, easy-to-use yet powerful SDK to collect and transform data based on smart contracts' events, transactions, traces, and states. Collected data are versioned for fast and easy iteration. Build low-code, real-time dashboards in seconds with powerful transformation and aggregation functions. Visualize metrics and easily zoom in and out at different timespan. Set up real-time alerts to notify your team via Slack, Telegram, Email and webhook so you can react quickly to critical events. Emit structured logs that are searchable and can be referenced from real-time dashboards. Sentio's mission is to accelerate DApp proliferation by bringing the best and battle-tested developer tools, infrastructure and philosophy to the crypto world. Leave your email to receive updates about our launch and gain early access to our beta release.Starting Price: Free -
22
LangMem
LangChain
LangMem is a lightweight, flexible Python SDK from LangChain that equips AI agents with long-term memory capabilities, enabling them to extract, store, update, and retrieve meaningful information from past interactions to become smarter and more personalized over time. It supports three memory types and offers both hot-path tools for real-time memory management and background consolidation for efficient updates beyond active sessions. Through a storage-agnostic core API, LangMem integrates seamlessly with any backend and offers native compatibility with LangGraph’s long-term memory store, while also allowing type-safe memory consolidation using schemas defined in Pydantic. Developers can incorporate memory tools into agents using simple primitives to enable seamless memory creation, retrieval, and prompt optimization within conversational flows. -
23
Bifrost
Bifrost
You can create entire component sets from Figma that are type-safe, conditionally render, and use default props from Figma. You can start with any screen from any flow and generate it. We will use any components you have already written and generate new ones as well. You can pull new design changes to any components you’ve generated even after you’ve added your own logic to them. Your engineers can focus on features that drive your business forward instead of repetitively creating new screens and components. Your designers can create and update screens without fear of messy handoffs. One click to pull new changes from Figma into an existing component or generate entire screens.Starting Price: $30 per month -
24
Metatype
Metatype
Build modular APIs with zero-trust and serverless deployment, no matter where and how your (legacy) systems are. And castle building is hard. Even the best teams can struggle to build according to the plans, especially with the ever-evolving needs and tech landscape complexities. Typegraphs are programmable virtual graphs describing all the components of your stack. They enable you to compose APIs, storage, and business logic in a type-safe manner. Typegate is a distributed HTTP/GraphQL query engine that compiles, optimizes, runs, and caches queries over typegraphs. It enforces authentication, authorization, and security for you. Install third parties as dependencies and start reusing components. The Meta CLI offers you live reloading and one-command deployment to Metacloud or your own instance. Metatype fills a gap in the tech landscape by introducing a new way to build fast and developer-friendly APIs.Starting Price: Free -
25
zkSync
Matter Labs
zkSync is Ethereum’s most user-centric ZK rollup. Unlike any other scaling approach, ZK rollup has no upper bound on the value it can securely handle in L2. Unlike optimistic rollups, all assets can be moved capital-efficiently and fast between ZK rollup and L1. zkSync has the lowest real tx costs across all existing and planned rollups. zkSync also supports meta-transactions, instant confirmations with economic finality, low-cost privacy, and more. Ease and fun of development are at the core of zkSync design. Integrate payments and atomic swaps in a few lines of code. Develop type-safe, functional style smart contracts on Zinc: a Rust-based framework. Deploy your existing EVM codebase with minimum modifications. -
26
PeerQuik
PeerQuik
PeerQuik is a Next.js 14 boilerplate that accelerates the creation of full‑featured B2C and P2P marketplaces by bundling over 23 production‑ready modules into one cohesive foundation. It provides dual‑role authentication (buyers and sellers) with Google OAuth and email/password flows, Stripe payments (one‑time, subscriptions, invoices), ratings, reviews, and favorites, plus a robust admin dashboard. Core utilities include automated sitemap and robots.txt generation, SEO optimizations, newsletter subscription footer, cron job scheduling, dynamic currency conversion, CAPTCHA‑protected forms, and built‑in email notifications. The stack leverages Tailwind CSS for a dark‑mode UI, React Hook Form with Zod for type‑safe validation, PostgreSQL integration, Docker‑ready deployment (Coolify‑compatible), and Vercel or self‑hosted VPS support, ensuring no vendor lock‑in.Starting Price: $79 per month -
27
TanStack
TanStack
TanStack is an open source, framework-agnostic collection of high-quality, headless, and type-safe utilities designed for modern web development, offering powerful capabilities in state management, data fetching, routing, UI logic, tables, data grids, charts, and reactive client-side storage. Its ecosystem includes core libraries such as TanStack Query for asynchronous server-state fetching and caching, TanStack Router for full-stack and client-side routing with full TypeScript inference and URL state support, and TanStack Table for headless, customizable tables and data grids across TS/JS frameworks. Additional tools, such as TanStack DB, extend the reactive store with live queries and optimistic mutations, while frameworks like TanStack Start provide a full-stack React experience, including SSR, streaming, server functions, and bundling, powered by its own router and Vite. Collectively, TanStack tools emphasize developer control, performance, scalability, and type safety.Starting Price: Free -
28
Xfile
Xfile
The world's by far fastest, most stable, and most complete file management system for Apple's OS. Feeling lonely and lost? Feeling like your OS vendor screwed you? Unfettered access to all filesystems, all data, and all operations. No more limiting to 'read-only' and read & write or hiding set ID and 'sticky' bits. All file permissions, user/system flags, and access control entries. The type-safe protections you need but Apple won't offer. Xfile is the core of a complete file management system written for professionals. Xfile alone includes complete support for all possible file system properties. Device numbers, major/minor device types, inodes, modes, soft/hard links, sticky bits, set ID bits, system/user flags, and file generation numbers. Access to all possible file systems (apfs, autofs, devfs, zfs, et al) and device mount info. And for those of you keen to learn more about your computer, there's no better way to start.Starting Price: $129 one-time payment -
29
Astro
Astro Framework
Astro is the all-in-one web framework designed for speed. Pull your content from anywhere and deploy it everywhere, all powered by your favorite UI components and libraries. Astro optimizes your website as no other framework can. Leverage Astro's unique zero-JS frontend architecture to unlock higher conversion rates with better SEO. Astro was designed for your content. Fetch data from any CMS or work locally with type-safe Markdown and MDX APIs. Build personal and professional blogs with Astro's built-in Markdown support and content APIs. Stand out from the crowd with a lightning-fast site that ranks higher in SEO. Agencies use Astro to build fast websites, faster. Customize every site with full control over your frontend code. Time is money. Give your customers a better shopping experience and grow your business faster. Put your best foot forward with a portfolio that performs. Help people get to know you (and your work) faster.Starting Price: Free -
30
Mercury Edit 2
Inception
Mercury Edit 2 is part of Inception Labs’ Mercury family of AI models, designed to perform high-speed reasoning, coding, and editing tasks using a fundamentally different architecture from traditional large language models. It builds on Mercury 2, a diffusion-based reasoning model that generates and refines entire outputs in parallel rather than producing text token by token, enabling significantly faster performance and more responsive editing workflows. Instead of acting like a sequential “typewriter,” the system behaves more like an editor, starting with a rough draft and iteratively improving it across multiple tokens at once, which allows for real-time interaction and rapid iteration in tasks such as code editing, content generation, and agent-based workflows. This architecture delivers throughput of up to around 1,000 tokens per second, making it several times faster than conventional models while maintaining competitive reasoning quality across benchmarks.Starting Price: $0.25 per 1M input tokens -
31
Sup AI
Sup AI
Sup AI is a multi-LLM platform that merges outputs from several top large language models, such as GPT, Claude, Llama, and more, to generate richer, more accurate, and better-validated answers than any single model could provide. It applies real-time “logprob confidence scoring,” analyzing each token’s probability to detect uncertainty or hallucination; when a model’s confidence falls below a threshold, the response is halted, helping ensure that delivered answers remain high-quality and trustworthy. Sup’s “multi-model fusion” then compares, contrasts, and consolidates outputs from different models, cross-verifying and synthesizing the best parts into a final result. Sup also supports “multimodal RAG” (retrieval-augmented generation) to incorporate external data (text, PDFs, images) into context-aware responses, giving the AI access to factual sources and helping it “never forget” relevant information.Starting Price: $20 per month -
32
MiniMax M2.5
MiniMax
MiniMax M2.5 is a frontier AI model engineered for real-world productivity across coding, agentic workflows, search, and office tasks. Extensively trained with reinforcement learning in hundreds of thousands of real-world environments, it achieves state-of-the-art performance in benchmarks such as SWE-Bench Verified and BrowseComp. The model demonstrates strong architectural thinking, decomposing complex problems before generating code across more than ten programming languages. M2.5 operates at high throughput speeds of up to 100 tokens per second, enabling faster completion of multi-step tasks. It is optimized for efficient reasoning, reducing token usage and execution time compared to previous versions. With dramatically lower pricing than competing frontier models, it delivers powerful performance at minimal cost. Integrated into MiniMax Agent, M2.5 supports professional-grade office workflows, financial modeling, and autonomous task execution.Starting Price: Free -
33
Ling 3.0 Tiny
Ant Group
Ling 3.0 Tiny is an open-weights reasoning model with 7.9B total parameters, 1.3B active parameters, and a 262K-token context window. Built with a mixture-of-experts architecture, it extends the open-weights Pareto frontier for intelligence versus active parameters and is small enough to run locally in many settings. The model scores 25 on the Artificial Analysis Intelligence Index, comparable to gpt-oss-120b (high, 24) while using 15x fewer total parameters and 4x fewer active parameters. This parameter efficiency comes with relatively high token usage, with 213M output tokens required to run the Intelligence Index. Ling 3.0 Tiny also shows substantial improvements in hallucination behavior over Ling-mini-2.0, improving its AA-Omniscience score by 59 points while maintaining similar accuracy. Rather than guessing when uncertain, it attempted only 37% of questions in the evaluation, resulting in a 30% hallucination rate compared with 96% for the previous generation. -
34
Mercury 2
Inception
Mercury 2 is the first reasoning model fast enough to pick up the phone, a reasoning diffusion language model built for real-time voice agents. Instead of making callers wait through seconds of dead air while an autoregressive model generates thinking tokens one by one, Mercury 2 uses a diffusion large language model architecture to generate tokens in parallel, decoding 1000+ tokens per second on standard NVIDIA GPUs. That speed is fast enough to run a full reasoning pass and start speaking within the latency budget of a natural conversation, reducing the cost of reasoning from seconds of silence to roughly 300 milliseconds. Mercury models work by corrupting clean text into noise, then training a standard Transformer to reverse the process and predict clean text across all positions simultaneously. Because each denoising pass touches many tokens, generation uses the GPU more efficiently than one-token-at-a-time decoding, making custom-silicon-like speed possible on NVIDIA H100s. -
35
Step 3.5 Flash
StepFun
Step 3.5 Flash is an advanced open source foundation language model engineered for frontier reasoning and agentic capabilities with exceptional efficiency, built on a sparse Mixture of Experts (MoE) architecture that selectively activates only about 11 billion of its ~196 billion parameters per token to deliver high-density intelligence and real-time responsiveness. Its 3-way Multi-Token Prediction (MTP-3) enables generation throughput in the hundreds of tokens per second for complex multi-step reasoning chains and task execution, and it supports efficient long contexts with a hybrid sliding window attention approach that reduces computational overhead across large datasets or codebases. It demonstrates robust performance on benchmarks for reasoning, coding, and agentic tasks, rivaling or exceeding many larger proprietary models, and includes a scalable reinforcement learning framework for consistent self-improvement.Starting Price: Free -
36
Shieldstral
Mistral AI
Shieldstral is a 3B open-weights, policy-adaptive multimodal safety classifier designed to evaluate text, images, and text-plus-image content using policies defined at inference time. Instead of relying on a fixed taxonomy of harm categories, it frames moderation as a binary question-answering task: users provide an instruction describing the evaluation context and strictness, a yes-or-no safety question, and the content to judge. The model reads the “yes” and “no” logits and converts them into a continuous, calibrated safety score, allowing applications to threshold or rank results by confidence rather than depend on a single discrete label. This formulation unifies prompt classification, response moderation, refusal detection, toxicity detection, and multimodal safety in one interface, while letting teams adapt policies without retraining the model. Shieldstral can evaluate prompts, responses, prompt-response pairs, images, and images with accompanying text. -
37
Marco-o1
AIDC-AI
Marco-o1 is a robust, next-generation AI model tailored for high-performance natural language processing and real-time problem-solving. It is engineered to deliver precise and contextually rich responses, combining deep language comprehension with a streamlined architecture for speed and efficiency. Marco-o1 excels in a variety of applications, including conversational AI, content creation, technical support, and decision-making tasks, adapting seamlessly to diverse user needs. With a focus on intuitive interactions, reliability, and ethical AI principles, Marco-o1 stands out as a cutting-edge solution for individuals and organizations seeking intelligent, adaptive, and scalable AI-driven tools. MCTS allows the exploration of multiple reasoning paths using confidence scores derived from softmax-applied log probabilities of the top-k alternative tokens, guiding the model to optimal solutions.Starting Price: Free -
38
NVIDIA Cosmos
NVIDIA
NVIDIA Cosmos is a developer-first platform of state-of-the-art generative World Foundation Models (WFMs), advanced video tokenizers, guardrails, and an accelerated data processing and curation pipeline designed to supercharge physical AI development. It enables developers working on autonomous vehicles, robotics, and video analytics AI agents to generate photorealistic, physics-aware synthetic video data, trained on an immense dataset including 20 million hours of real-world and simulated video, to rapidly simulate future scenarios, train world models, and fine‑tune custom behaviors. It includes three core WFM types; Cosmos Predict, capable of generating up to 30 seconds of continuous video from multimodal inputs; Cosmos Transfer, which adapts simulations across environments and lighting for versatile domain augmentation; and Cosmos Reason, a vision-language model that applies structured reasoning to interpret spatial-temporal data for planning and decision-making.Starting Price: Free -
39
LongCat-2.0
LongCat
LongCat-2.0 is a 1.6 trillion total-parameter Mixture-of-Experts language model built on AI ASIC superpods, with about 48 billion parameters activated per token and strong performance across coding and agentic tasks. It is a substantial step up from previous LongCat models, combining large-scale sparse architecture with dedicated post-training for real-world software engineering, tool use, long-context reasoning, and multi-step agent workflows. LongCat-2.0 is trained and deployed entirely on AI ASIC superpods, with pretraining spanning more than 35 trillion tokens and millions of accelerator-hours, demonstrating frontier-scale training on alternative hardware platforms. To strengthen long-horizon tasks, the model introduces LongCat Sparse Attention and is trained on hundreds of billions of tokens of 1M-context data, giving it native support for ultra-long context tasks and reliable long-document understanding. -
40
RevvADAS
Revv
RevvADAS automates ADAS research in seconds, allowing shops to easily identify and perform calibrations for substantial profits. Empower your business with detailed reports on ADAS, Steering, Safety, and Functional operations. Generate more revenue, save precious time, and protect your liability with RevvADAS. Our platform swiftly decodes VINs to detail equipped and optional ADAS features using industry-leading as-built data. It identifies ADAS calibrations, safety, and functional procedures following OEM-specific instructions for accuracy. The system provides prompts for optional sensors, and detailed procedure types for insurance-grade invoicing and assists with alignment checks, tools, requirements, and more. From year 2000 models to the present day, our platform has got you covered. We support an extensive range of popular makes and models. -
41
GreyMatter
GreyOrange
The GreyMatter Warehouse Management Software system continuously solves to drive optimal decisions, efficient orchestration and rapid execution across the entire fulfillment operation–so you’re ready in real time for whatever the market has in store. As advanced Ai seamlessly integrates fulfillment software, smart robots and people—the system instantaneously models best decisions to drive optimal workflows and execution using machine learning and adaptive learning. GreyMatter perpetually stores high performing outcomes, factors and resources calibration of ‘what works best’. As every new scenario, with its level of character and complexity is instantaneously assessed in real time, high outcome formula histories are called up, tested, applied, rejected or fluidly calibrated for best fit and highest probable accuracy, efficiency and speed. -
42
Beamex Calibration Software
Beamex
Gain business efficiency, profitability, and growth with Beamex Calibration Software, an all-in-one solution. The Beamex Calibration Software assists users in planning, managing, analyzing and documenting all calibration work and assets safely and efficiently. With Beamex Calibration Software, there is significant reduction of both the costs of calibration and time required to calibrate. -
43
Mercury Coder
Inception Labs
Mercury, the latest innovation from Inception Labs, is the first commercial-scale diffusion large language model (dLLM), offering a 10x speed increase and significantly lower costs compared to traditional autoregressive models. Built for high-performance reasoning, coding, and structured text generation, Mercury processes over 1000 tokens per second on NVIDIA H100 GPUs, making it one of the fastest LLMs available. Unlike conventional models that generate text one token at a time, Mercury refines responses using a coarse-to-fine diffusion approach, improving accuracy and reducing hallucinations. With Mercury Coder, a specialized coding model, developers can experience cutting-edge AI-driven code generation with superior speed and efficiency.Starting Price: Free -
44
NVIDIA TensorRT
NVIDIA
NVIDIA TensorRT is an ecosystem of APIs for high-performance deep learning inference, encompassing an inference runtime and model optimizations that deliver low latency and high throughput for production applications. Built on the CUDA parallel programming model, TensorRT optimizes neural network models trained on all major frameworks, calibrating them for lower precision with high accuracy, and deploying them across hyperscale data centers, workstations, laptops, and edge devices. It employs techniques such as quantization, layer and tensor fusion, and kernel tuning on all types of NVIDIA GPUs, from edge devices to PCs to data centers. The ecosystem includes TensorRT-LLM, an open source library that accelerates and optimizes inference performance of recent large language models on the NVIDIA AI platform, enabling developers to experiment with new LLMs for high performance and quick customization through a simplified Python API.Starting Price: Free -
45
Mercury 2.5
Inception
Mercury 2.5 is Inception’s most capable production model yet and a significant step up in quality over Mercury 2 while maintaining the same low-latency serving profile. It is the most capable diffusion LLM on the market and, according to Inception, the largest diffusion language model ever trained. Mercury 2.5 delivers a 40% increase in intelligence over Mercury 2, with performance comparable to cost-optimized frontier models such as GPT-5.6 Luna (Low), Gemini 3.5 Flash-Lite, and Claude Haiku 4.5. It generates at 1,107 tokens per second on widely available NVIDIA GPUs and supports a 260K-token context window. Capabilities include tunable reasoning, parallel tool calls, and schema-aligned JSON. The model is designed for latency-sensitive workloads where many model calls may happen inside a single interaction. In search agents and RAG pipelines, it can support planning, query rewriting, reranking, fact structuring, source summarization, and answer checking while keeping calls fast. -
46
Mistral OCR 4
Mistral AI
Mistral OCR 4 is a document extraction and understanding model built for enterprise search, RAG, domain-specific retrieval pipelines, and production-grade document intelligence. It extracts and structures content from a wide range of documents, moving beyond clean text and tables to return a structured representation of each page. Alongside extracted text, OCR 4 provides bounding boxes, typed-block classification, and inline confidence scores, helping downstream systems understand not only what the document says, but where each element sits, what role it plays, and how confident the model is in each region. Bounding boxes make in-context highlighting and reliable data pipelines possible, while block types and confidence scores support source-grounded citations, redactions, and human-in-the-loop verification. OCR 4 accepts common enterprise formats, including PDF, DOC, PPT, and OpenDocument, and supports 170 languages across 10 language groups.Starting Price: $2 per 1000 pages -
47
AudioCraft
Meta AI
AudioCraft is a single-stop code base for all your generative audio needs: music, sound effects, and compression after training on raw audio signals. With AudioCraft, we simplify the overall design of generative models for audio compared to prior work. Both MusicGen and AudioGen consist of a single autoregressive Language Model (LM) that operates over streams of compressed discrete music representation, i.e., tokens. We introduce a simple approach to leverage the internal structure of the parallel streams of tokens and show that, with a single model and elegant token interleaving pattern, our approach efficiently models audio sequences, simultaneously capturing the long-term dependencies in the audio and allowing us to generate high-quality audio. Our models leverage the EnCodec neural audio codec to learn the discrete audio tokens from the raw waveform. EnCodec maps the audio signal to one or several parallel streams of discrete tokens. -
48
Microsoft Frontier Tuning
Microsoft AI
Microsoft Frontier Tuning lets organizations customize one or more of Microsoft’s top MAI models around their unique business needs, trained safely within their own secure environment instead of relying on a generic AI model. The process starts by defining the task and what success looks like, then feeding in data, workflows, and expertise from Microsoft 365 and beyond. Performance is improved through training and iterative optimization, then deployed in Microsoft Foundry or Copilot, where the model can continue improving from real usage. Microsoft Frontier Tuning is designed to create models that know the organization’s work, terms, context, processes, and expertise while keeping data private and secure inside the customer’s environment. It gives teams more control over the model, avoids vendor lock-in, and helps them squeeze more value from every dollar spent by delivering frontier performance with superior token efficiency. -
49
Maroon.ai
Maroon.ai
We enable commercial lenders globally to accurately assess the application creditworthiness and manage customer risk by deploying powerful, compliant credit models in an integration-friendly platform. Customizable dashboard for exec management, credit analyst and compliance teams. Calibrated for the probability of default and early-stage Delinquencies. Easy plug-n-play integrations and flexible deployment models. Deep learning models produce insights from disparate datasets. Access rolled-up risk assessment reports. Effective sales augmentation through leveraging our data cloud and predictive models to discover high propensity prospects and create winning engagement strategies through predictive intelligence and intent data. Deep account intelligence for over 16m businesses globally. Predictive scoring using custom modeling and intent generation. Access org charts and executive profiles. Integrates into your existing workflows.Starting Price: $499 per month -
50
DueDel
DueDel
DueDel is an enterprise-grade intelligence platform that unifies AI risk assessment, AI guardrails, and data protection into one secure, compliant ecosystem. The AI Risk Assessment Tool converts complex data into decision-ready summaries, detects early risk signals, uncovers market trends, and delivers predictive insights for investors, executives, and compliance teams. The Data Protection Fabric ensures no sensitive data ever reaches AI models by applying encryption, tokenization, and redaction—maintaining full compliance with RBI, SEBI, DPDP, and internal policies. The AI Guardrail Gateway gives complete control over what AI sees and generates, blocking harmful prompts, preventing hallucinations, enforcing policy-based routing, and securing external LLM usage with audit-grade logs. Together, DueDel enables regulated enterprises to govern AI safely while making faster, smarter, and fully compliant financial decisions.Starting Price: $0
