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What is Metatype?

Develop modular APIs using a zero-trust framework and deploy them in a serverless manner, irrespective of any existing legacy systems. Constructing a reliable infrastructure presents significant challenges; even highly skilled teams may struggle to follow architectural designs due to the fast-evolving requirements and the intricacies of modern technology. Typegraphs function as programmable virtual graphs that encapsulate all aspects of your system architecture, allowing for the seamless integration of APIs, storage solutions, and business logic while maintaining type safety. Typegate serves as a distributed HTTP/GraphQL query engine that efficiently compiles, optimizes, executes, and caches queries on typegraphs, simultaneously managing authentication, authorization, and security protocols on your behalf. You can effortlessly incorporate third-party dependencies and leverage existing components, facilitating a smoother development experience. The Meta CLI boosts your productivity by offering live reloading capabilities and enabling one-command deployment to Metacloud or any personal environment you choose. Additionally, Metatype fills a significant void in the technological landscape by introducing an innovative approach to creating agile, developer-focused APIs that can adapt to increasing demands. By harnessing these cutting-edge tools, you can not only enhance your development efficiency but also respond more rapidly to the dynamic shifts in the tech ecosystem. This adaptability is essential in a world where technology is constantly evolving, ensuring your solutions remain relevant and effective.

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

Additional information not provided

Integrations Supported

Additional information not provided

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

Metatype

Company Website

metatype.dev/

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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