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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Optimize and simplify the management of Kubernetes (north-south) network traffic to ensure reliable, consistent performance at scale, all while maintaining the speed of your applications. Employ advanced application-centric configurations by utilizing role-based access control (RBAC) alongside self-service options to establish security guardrails, allowing your teams to manage their applications with both security and agility. This approach fosters multi-tenancy and reusability while offering simpler configurations and additional benefits. With a native, type-safe, and indented configuration style, you can streamline functionalities such as circuit breaking, advanced routing, header manipulation, mTLS authentication, and WAF. Furthermore, if you're currently utilizing NGINX, the NGINX Ingress resources facilitate a seamless transition of your existing configurations from other environments, enhancing your overall operational efficiency. This not only simplifies your network management but also empowers your development teams to innovate faster.

Description

Jev is TypeSafe AI’s first public System One Model, a class of AI designed to make fast, structured decisions that software can consume directly. Instead of generating arbitrary strings like a traditional large language model, Jev produces predefined type-safe values accompanied by calibrated probabilities and confidence estimates. Its architecture generates outputs in parallel rather than autoregressively producing one token at a time, allowing the model to prioritize speed and computational efficiency. TypeSafe trains Jev using Reinforcement Learning for Calibrated Decisions, an approach intended to optimize for accurate uncertainty estimates and consistent structured outputs. The model can be embedded into conventional software as an intelligent decision layer for classification, scoring, routing, extraction, branching, and other tasks where hand-written rules would be too rigid. Jev can also be used to judge, verify, guardrail, or detect problematic behavior in outputs from other AI systems. TypeSafe reports typical end-to-end response times between 70 and 500 milliseconds and positions the model for applications where low latency is important. The company also emphasizes schema guarantees, meaning Jev’s outputs are constrained to the structures defined by the application rather than requiring developers to parse and validate unrestricted generated text. Jev is aimed at developers and organizations building automation, real-time software, large-scale data workflows, and production systems that require dependable structured AI decisions.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

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

Integrations

Amazon EKS No 
Azure Kubernetes Service (AKS) No 
Azure Marketplace No 
Diamanti No 
Google Kubernetes Engine (GKE) No 
IBM Cloud Private No 
Kubernetes No 
NGINX No 
Red Hat OpenShift No 
draft1.ai No 
open-appsec No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

Input: $0.042 / 1M tokens
Input tokens: $0.042 / 1 million tokens ($42 per billion tokens).

Output tokens: FREE (too cheap to meter).
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

F5

Founded

1996

Country

United States

Website

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

Vendor Details

Company Name

TypeSafe AI

Founded

2024

Country

United States

Website

typesafe.ai/

Product Features

Load Balancing

Authentication No 
Automatic Configuration No 
Content Caching No 
Content Routing No 
Data Compression No 
Health Monitoring No 
Predefined Protocols No 
Redundancy Checking No 
Reverse Proxy No 
SSL Offload No 
Schedulers No 

Product Features

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