# TypeSafe AI

> Decision models that return typed answers with calibrated confidence in milliseconds.

Canonical: https://www.subconscious.dev/providers/typesafe-ai · By The Subconscious Team · Updated October 11, 2026

- Founded: 2024
- Example models: Jev, jev-1.13
- Website: https://typesafe.ai

## Overview

TypeSafe AI builds decision models instead of text generators. Founder Diogo Almeida co-invented RLHF and InstructGPT at OpenAI and later worked at Google Brain; his co-founders are Erik Gafni and Sasha Sheng. After two years in stealth the company launched on September 15, 2026 with a $40M seed round led by DCVC and released its first System One Model, Jev, in early access. The name nods to Kahneman's fast System 1 thinking, and the model is built for machines to call, not people to chat with.

Jev gives up free-form strings. A developer defines the answer space up front with primitives like Choice, Score and a true-or-false type, and Jev returns a typed answer plus calibrated probabilities and a confidence score. It evaluates every option in parallel in one pass rather than token by token, so calls finish in 70 to 500ms end to end and cost $0.042 per million input tokens, with output free. A new training method, Reinforcement Learning for Calibrated Decisions, targets probabilities that track real accuracy. Because outputs always match the schema, Jev cannot produce a type error or hallucinate a value outside the options.

## Upsides

- Roughly 40 to 200x faster than an LLM on decision-shaped queries, at a fraction of the cost.
- Calibrated confidence lets software act automatically when sure and escalate when not.

## Core use cases

- Smart if-statements inside workflows, like routing tickets, scoring leads or classifying intent.
- Guardrails and routers inside agent harnesses, such as detecting jailbreaks, grading tool calls or picking which LLM gets a prompt.

## Downsides

- No text or code generation, so it complements an LLM rather than replacing one.
- Early access, text-only input, and a new programming model teams have to learn.

## At a glance

| Attribute | Value |
|---|---|
| Model access | Decision models |
| Flagship models | Jev, jev-1.13 |
| Speed | 70–500ms per call |
| Price | $0.042 per 1M input tokens; output free |
| Customization | - |
| Deployment | Early-access API, also via LiteLLM |
| Long context | 32K |

## FAQ

### What is TypeSafe AI?

TypeSafe AI builds decision models instead of text generators. Founder Diogo Almeida co-invented RLHF and InstructGPT at OpenAI and later worked at Google Brain; his co-founders are Erik Gafni and Sasha Sheng. After two years in stealth the company launched on September 15, 2026 with a $40M seed round led by DCVC and released its first System One Model, Jev, in early access. The name nods to Kahneman's fast System 1 thinking, and the model is built for machines to call, not people to chat with.

### What is TypeSafe AI best for?

Smart if-statements inside workflows, like routing tickets, scoring leads or classifying intent; Guardrails and routers inside agent harnesses, such as detecting jailbreaks, grading tool calls or picking which LLM gets a prompt.

### How much does TypeSafe AI cost?

TypeSafe AI pricing at a glance: $0.042 per 1M input tokens; output free. Rates change often, so check TypeSafe AI's pricing page before committing.

### How much context does TypeSafe AI support?

TypeSafe AI's long-context support: 32K.

### What are the downsides of TypeSafe AI?

No text or code generation, so it complements an LLM rather than replacing one; Early access, text-only input, and a new programming model teams have to learn.

### What are the best alternatives to TypeSafe AI?

Common alternatives include Subconscious, OpenAI, Anthropic, Google Vertex AI, Amazon Bedrock. Each has a head-to-head comparison with TypeSafe AI on this site.

## Comparisons

- [Subconscious vs TypeSafe AI](https://www.subconscious.dev/compare/subconscious-vs-typesafe-ai.md)
- [OpenAI vs TypeSafe AI](https://www.subconscious.dev/compare/openai-vs-typesafe-ai.md)
- [Anthropic vs TypeSafe AI](https://www.subconscious.dev/compare/anthropic-vs-typesafe-ai.md)
- [Google Vertex AI vs TypeSafe AI](https://www.subconscious.dev/compare/google-vertex-vs-typesafe-ai.md)
- [Amazon Bedrock vs TypeSafe AI](https://www.subconscious.dev/compare/aws-bedrock-vs-typesafe-ai.md)
- [Together AI vs TypeSafe AI](https://www.subconscious.dev/compare/together-ai-vs-typesafe-ai.md)
- [Fireworks AI vs TypeSafe AI](https://www.subconscious.dev/compare/fireworks-vs-typesafe-ai.md)
- [Baseten vs TypeSafe AI](https://www.subconscious.dev/compare/baseten-vs-typesafe-ai.md)
- [Groq vs TypeSafe AI](https://www.subconscious.dev/compare/groq-vs-typesafe-ai.md)
- [Cerebras vs TypeSafe AI](https://www.subconscious.dev/compare/cerebras-vs-typesafe-ai.md)
- [DeepInfra vs TypeSafe AI](https://www.subconscious.dev/compare/deepinfra-vs-typesafe-ai.md)
- [Hugging Face Inference Providers vs TypeSafe AI](https://www.subconscious.dev/compare/hugging-face-vs-typesafe-ai.md)
- [Modal vs TypeSafe AI](https://www.subconscious.dev/compare/modal-vs-typesafe-ai.md)
- [Cloudflare Workers AI vs TypeSafe AI](https://www.subconscious.dev/compare/cloudflare-workers-ai-vs-typesafe-ai.md)
- [xAI vs TypeSafe AI](https://www.subconscious.dev/compare/xai-vs-typesafe-ai.md)
- [Mistral AI vs TypeSafe AI](https://www.subconscious.dev/compare/mistral-ai-vs-typesafe-ai.md)
- [DeepSeek vs TypeSafe AI](https://www.subconscious.dev/compare/deepseek-vs-typesafe-ai.md)
- [Moonshot AI vs TypeSafe AI](https://www.subconscious.dev/compare/moonshot-ai-vs-typesafe-ai.md)
- [Z.ai vs TypeSafe AI](https://www.subconscious.dev/compare/z-ai-vs-typesafe-ai.md)
- [Alibaba Cloud vs TypeSafe AI](https://www.subconscious.dev/compare/alibaba-cloud-vs-typesafe-ai.md)
- [Meta vs TypeSafe AI](https://www.subconscious.dev/compare/meta-vs-typesafe-ai.md)
- [Cohere vs TypeSafe AI](https://www.subconscious.dev/compare/cohere-vs-typesafe-ai.md)
- [SambaNova vs TypeSafe AI](https://www.subconscious.dev/compare/sambanova-vs-typesafe-ai.md)
- [Nebius vs TypeSafe AI](https://www.subconscious.dev/compare/nebius-vs-typesafe-ai.md)
- [Crusoe vs TypeSafe AI](https://www.subconscious.dev/compare/crusoe-vs-typesafe-ai.md)
- [fal vs TypeSafe AI](https://www.subconscious.dev/compare/fal-vs-typesafe-ai.md)
- [Novita AI vs TypeSafe AI](https://www.subconscious.dev/compare/novita-ai-vs-typesafe-ai.md)
- [Venice vs TypeSafe AI](https://www.subconscious.dev/compare/venice-vs-typesafe-ai.md)
- [Parasail vs TypeSafe AI](https://www.subconscious.dev/compare/parasail-vs-typesafe-ai.md)
- [Inference.net vs TypeSafe AI](https://www.subconscious.dev/compare/inference-net-vs-typesafe-ai.md)
- [GMI Cloud vs TypeSafe AI](https://www.subconscious.dev/compare/gmi-cloud-vs-typesafe-ai.md)
- [Thinking Machines vs TypeSafe AI](https://www.subconscious.dev/compare/thinking-machines-vs-typesafe-ai.md)
- [Sail Research vs TypeSafe AI](https://www.subconscious.dev/compare/sail-research-vs-typesafe-ai.md)
- [Morph vs TypeSafe AI](https://www.subconscious.dev/compare/morph-vs-typesafe-ai.md)
- [Relace vs TypeSafe AI](https://www.subconscious.dev/compare/relace-vs-typesafe-ai.md)
- [TypeSafe AI vs StepFun](https://www.subconscious.dev/compare/typesafe-ai-vs-stepfun.md)
- [TypeSafe AI vs Runware](https://www.subconscious.dev/compare/typesafe-ai-vs-runware.md)
- [TypeSafe AI vs StreamLake](https://www.subconscious.dev/compare/typesafe-ai-vs-streamlake.md)
- [TypeSafe AI vs Wafer](https://www.subconscious.dev/compare/typesafe-ai-vs-wafer.md)
- [TypeSafe AI vs RunInfra](https://www.subconscious.dev/compare/typesafe-ai-vs-runinfra.md)
- [TypeSafe AI vs Particle.AI](https://www.subconscious.dev/compare/typesafe-ai-vs-particle-ai.md)
- [TypeSafe AI vs Luminal](https://www.subconscious.dev/compare/typesafe-ai-vs-luminal.md)
- [TypeSafe AI vs Infron](https://www.subconscious.dev/compare/typesafe-ai-vs-infron.md)
- [TypeSafe AI vs Inception](https://www.subconscious.dev/compare/typesafe-ai-vs-inception.md)
- [TypeSafe AI vs Dolphin](https://www.subconscious.dev/compare/typesafe-ai-vs-dolphin.md)

## Sources

- [TypeSafe AI](https://typesafe.ai/)
- [Introducing System One Models and Jev](https://typesafe.ai/blog/introducing-system-one-models-and-jev?curius=1940)
- [TypeSafe team](https://typesafe.ai/team)
- [TypeSafe AI launch](https://www.businesswire.com/news/home/20260915525333/en/)
- [InfoQ on Jev](https://www.infoq.com/news/2026/10/typesafe-ai-jev-released/)
- [Jev on LiteLLM](https://docs.litellm.ai/blog/typesafe_jev)

Pricing and model lineups change often; figures are a snapshot.