Jev

Jev

TypeSafe AI
+
+

Related Products

  • Cloverleaf
    189 Ratings
    Visit Website
  • Canditech
    110 Ratings
    Visit Website
  • ContractSafe
    321 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • optivalue.ai
    4 Ratings
    Visit Website
  • SBS Quality Management Software
    7 Ratings
    Visit Website
  • Planview ProjectAdvantage
    121 Ratings
    Visit Website
  • Dynamo Software
    71 Ratings
    Visit Website
  • Jobma
    278 Ratings
    Visit Website
  • ActCAD Software
    401 Ratings
    Visit Website

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

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.

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

Machine learning engineers and data scientists seeking a tool to optimize their deep learning operations

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

Free
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

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

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

NVIDIA
Founded: 1993
United States
developer.nvidia.com/tensorrt

Alternatives

Prisma

Prisma

Prisma.io

Alternatives

OpenVINO

OpenVINO

Intel
WunderGraph Cosmo

WunderGraph Cosmo

WunderGraph
next-forge

next-forge

Vercel

Categories

Categories

Integrations

Dataoorts GPU Cloud
Hugging Face
Kimi K2
Kimi K2.5
Kimi K3
LaunchX
MATLAB
NVIDIA AI Enterprise
NVIDIA Broadcast
NVIDIA Clara
NVIDIA DRIVE
NVIDIA DeepStream SDK
NVIDIA Jetson
NVIDIA Morpheus
NVIDIA Riva Studio
PyTorch
RankGPT
RankLLM
Rosepetal AI
TensorFlow

Integrations

Dataoorts GPU Cloud
Hugging Face
Kimi K2
Kimi K2.5
Kimi K3
LaunchX
MATLAB
NVIDIA AI Enterprise
NVIDIA Broadcast
NVIDIA Clara
NVIDIA DRIVE
NVIDIA DeepStream SDK
NVIDIA Jetson
NVIDIA Morpheus
NVIDIA Riva Studio
PyTorch
RankGPT
RankLLM
Rosepetal AI
TensorFlow
Claim Jev and update features and information
Claim Jev and update features and information
Claim NVIDIA TensorRT and update features and information
Claim NVIDIA TensorRT and update features and information