Jev

Jev

TypeSafe AI
TypeGPU

TypeGPU

Software Mansion
+
+

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About

Jev is a System One Model from TypeSafe AI designed for fast, structured decision-making inside software and automated workflows. Unlike conventional large language models that generate free-form text token by token, Jev accepts unstructured state and returns predefined type-safe values with calibrated probabilities and confidence scores. The model uses a parallel sampling architecture and a training approach called Reinforcement Learning for Calibrated Decisions, which is optimized for producing reliable probabilistic decisions rather than conversational responses. Jev is intended for tasks such as classification, routing, scoring, extraction, branching logic, verification, guardrails, and other AI-powered workflows where structured outputs can plug directly into application code. TypeSafe reports end-to-end response times ranging from about 70 to 500 milliseconds and says Jev can be substantially faster and more efficient than frontier language models on System One-style workloads.

About

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.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Software developers, AI engineers, automation teams, infrastructure builders, and enterprises that need low-latency, type-safe, probabilistic AI decisions for production software and structured workflows

Audience

TypeScript developers wanting to build GPU rendering and computing applications with type-safe, declarative WebGPU resource management

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

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

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

TypeSafe AI
Founded: 2024
United States
typesafe.ai/

Company Information

Software Mansion
Founded: 2012
Poland
docs.swmansion.com/TypeGPU/

Alternatives

Prisma

Prisma

Prisma.io

Alternatives

WunderGraph Cosmo

WunderGraph Cosmo

WunderGraph
next-forge

next-forge

Vercel

Categories

Categories

Integrations

JavaScript
React Native
TypeScript

Integrations

JavaScript
React Native
TypeScript
Claim Jev and update features and information
Claim Jev and update features and information
Claim TypeGPU and update features and information
Claim TypeGPU and update features and information