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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.

What is F5 NGINX Ingress Controller?

Enhancing the management of north-south network traffic in Kubernetes is essential for achieving reliable and consistent performance at scale while ensuring that your applications remain fast. By adopting sophisticated application-focused configurations that incorporate role-based access control (RBAC) and self-service capabilities, you can create security guardrails that empower your teams to manage their applications with both security and agility. This strategy promotes multi-tenancy and reusability, leading to more straightforward configurations and added advantages. With a native, type-safe, and well-structured configuration approach, functionalities such as circuit breaking, advanced routing, header manipulation, mTLS authentication, and web application firewall (WAF) can be streamlined effectively. Moreover, if you're already leveraging NGINX, the NGINX Ingress resources can facilitate a smooth transition of your existing configurations from other environments, significantly improving your operational efficiency. In addition to simplifying network management, this empowerment allows your development teams to accelerate their innovation processes, driving greater value for your organization. By optimizing these components, you can create an environment that is not only secure but also highly responsive to the demands of modern applications.

Media

Media

Integrations Supported

Integrations Supported

Amazon EKS
Azure Kubernetes Service (AKS)
Azure Marketplace
Diamanti
Google Kubernetes Engine (GKE)
IBM Cloud Private
Kubernetes
NGINX
Red Hat OpenShift
draft1.ai
open-appsec

API Availability

API Availability

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).

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

TypeSafe AI

Date Founded

2024

Company Location

United States

Company Website

typesafe.ai/

Company Facts

Organization Name

F5

Date Founded

1996

Company Location

United States

Company Website

www.f5.com/products/nginx/nginx-ingress-controller

Categories and Features

AI Decision Models

Not specified

AI Models

Not specified

Categories and Features

Container Networking

Not specified

Load Balancing

Not specified

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