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What is Oorian?

Oorian is a framework built on Java that facilitates the development of dynamic, interactive, and data-centric web applications, enabling developers to leverage the advantages of object-oriented design throughout both the front-end and back-end. With Oorian, you can construct the complete web application using Java, eliminating the need to manage separate codebases for HTML, CSS, and JavaScript, which streamlines the development process and enhances efficiency. This approach not only simplifies the workflow but also ensures consistency in the application’s design and functionality.

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

No images available

Media

Integrations Supported

AG Grid
Bootstrap
DHTMLX
Google Charts
Highcharts
Java
Kendo UI
Syncfusion Essential Studio
Tailwind
Webix
Wijmo

Integrations Supported

AG Grid
Bootstrap
DHTMLX
Google Charts
Highcharts
Java
Kendo UI
Syncfusion Essential Studio
Tailwind
Webix
Wijmo

API Availability

Has API

API Availability

Has API

Pricing Information

Free for non-commercial use. Reasonable licensing per domain for commercial use.
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

Corvus Engineering

Date Founded

2013

Company Location

United States

Company Website

www.oorian.com

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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