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What is TanStack?

TanStack is an adaptable, open-source framework that equips developers with a rich array of high-quality, headless, and type-safe tools designed for modern web development, offering extensive functionalities in state management, data retrieval, routing, UI logic, tables, data grids, charts, and dynamic client-side storage solutions. This suite features critical libraries such as TanStack Query, which specializes in managing asynchronous server-state fetching and caching, TanStack Router for thorough full-stack and client-side routing complete with TypeScript inference and URL state management, and TanStack Table for creating customizable, headless tables and data grids that work seamlessly with a variety of TS/JS frameworks. Additionally, tools like TanStack DB improve reactive stores by providing live query capabilities and optimistic updates, while frameworks like TanStack Start deliver a cohesive full-stack React experience that incorporates server-side rendering (SSR), streaming, server functions, and bundling, all facilitated by its proprietary router and Vite. TanStack's ecosystem is designed not only to enhance developer efficiency and scalability but also to prioritize type safety, making it a compelling option for building contemporary web applications. Ultimately, with such a comprehensive range of offerings, TanStack empowers developers to construct intricate applications confidently and with ease, significantly streamlining the development process.

What is Jev?

Jev is a low-latency System One Model from TypeSafe AI built for structured decision-making rather than open-ended text generation. TypeSafe describes System One Models as a new class of frontier models intended to make fast decisions that can be consumed directly by application code. Jev takes unstructured information as input and returns predefined typed outputs with probabilities and confidence scores instead of generating unrestricted natural-language strings. Its parallel sampling architecture produces outputs in a single query rather than sequentially generating one token at a time, which is designed to reduce latency and inference cost. The model is trained with Reinforcement Learning for Calibrated Decisions, which focuses on producing well-calibrated probabilities for structured System One tasks. TypeSafe positions Jev as a software-native intelligence layer for tasks including classification, routing, scoring, extraction, decision branching, and other workflows that benefit from probabilistic logic. It can also be applied to model evaluation and safety workflows by scoring, judging, verifying, guardrailing, or detecting jailbreaks in prompts, reasoning traces, and generated outputs. The company reports service response times of roughly 70 to 500 milliseconds and says this can make Jev suitable for interactive and real-time applications where traditional frontier models may introduce too much latency. Jev is designed to return consistent schemas without type errors, allowing its results to be incorporated into code without the same parsing and validation steps commonly required for free-form LLM responses. TypeSafe also highlights map-reduce style processing over large datasets as a potential use case, where the model can turn large amounts of unstructured information into structured features and insights.

Media

Media

Integrations Supported

Clerk
Convex
Electric
Kombai
Neon
Netlify
Nozzle
React
Sentry
Solid
TANSHIP Template
TanStarter
Toolpad Core
TypeScript
Vite

Integrations Supported

Clerk
Convex
Electric
Kombai
Neon
Netlify
Nozzle
React
Sentry
Solid
TANSHIP Template
TanStarter
Toolpad Core
TypeScript
Vite

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Version
Free Trial Offered?

Pricing Information

Input: $0.042 / 1M tokens
Input tokens: $0.042 / 1 million tokens ($42 per billion tokens).

Output tokens: FREE (too cheap to meter).
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

TanStack

Date Founded

2021

Company Location

United States

Company Website

tanstack.com

Company Facts

Organization Name

TypeSafe AI

Date Founded

2024

Company Location

United States

Company Website

typesafe.ai/

Categories and Features

Categories and Features

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