Jev

Jev

TypeSafe AI
Span-01

Span-01

Respan
+
+

Related Products

  • Cloverleaf
    189 Ratings
    Visit Website
  • kama.ai
    9 Ratings
    Visit Website
  • Canditech
    111 Ratings
    Visit Website
  • ContractSafe
    326 Ratings
    Visit Website
  • IONOS Cloud GPU Servers
    45,340 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

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

Span-01 is a hyper-parallel reasoning classifier built to detect complex behaviors across long production traces in a single forward pass. Rather than generating tokens sequentially, it reasons over natural-language behavior definitions and returns direct probabilities for present, absent, and not_observable. The model is trained for general classification reasoning with RLAIF before being specialized for behavior detection, allowing it to apply previously unseen definitions to new behaviors and domains instead of relying on a fixed taxonomy. At inference time, hyper-parallel definition branches evaluate multiple behaviors against the same trace context simultaneously, while hybrid attention helps preserve reasoning over long, complex inputs. Span-01 is designed for production monitoring across safety, reliability, grounding, agent behavior, and response quality, including jailbreak and prompt injection detection, privacy, and secrets.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

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

AI, safety, evaluation, and observability teams seeking to detect and score complex behaviors across long production traces with fast, probability-based classification

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

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 Not Supported
Free Trial Not Supported

Pricing

$199 per month
Free Version Supported
Free Trial Supported

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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Company Information

TypeSafe AI
Founded: 2024
United States
typesafe.ai/

Company Information

Respan
Founded: 2023
United States
www.respan.ai/blog/introducing-span-1

Alternatives

Clef-flash

Clef-flash

Cloudflare

Alternatives

Clef-flash

Clef-flash

Cloudflare
Clef

Clef

Cloudflare
Clef

Clef

Cloudflare
Jev

Jev

TypeSafe AI
Solar Decide

Solar Decide

Upstage
Tev1

Tev1

Together AI
Strands Decider

Strands Decider

Strands Labs

Categories

AI Decision Models Supported
AI Models Supported

Categories

AI Decision Models Supported

Integrations

AssemblyAI Not Supported
Cognee Not Supported
Google GenAI SDK Not Supported
JavaScript Not Supported
LangChain Not Supported
LinkUp Not Supported
LlamaIndex Not Supported
Mastra AI Not Supported
Mem0 Not Supported
OpenAI Not Supported
OpenAI Agents API Not Supported
PostHog Not Supported
Python Not Supported
TypeScript Not Supported
Vercel Not Supported

Integrations

AssemblyAI Supported
Cognee Supported
Google GenAI SDK Supported
JavaScript Supported
LangChain Supported
LinkUp Supported
LlamaIndex Supported
Mastra AI Supported
Mem0 Supported
OpenAI Supported
OpenAI Agents API Supported
PostHog Supported
Python Supported
TypeScript Supported
Vercel Supported
Claim Jev and update features and information
Claim Jev and update features and information
Claim Span-01 and update features and information
Claim Span-01 and update features and information