Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • optivalue.ai Reviews & Ratings
    4 Ratings
    Company Website
  • AddSearch Reviews & Ratings
    140 Ratings
    Company Website
  • Planview Software Product Delivery Reviews & Ratings
    2 Ratings
    Company Website
  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • FinOpsly Reviews & Ratings
    3 Ratings
    Company Website
  • Datasite Diligence Virtual Data Room Reviews & Ratings
    692 Ratings
    Company Website
  • Evertune Reviews & Ratings
    1 Rating
    Company Website
  • kama.ai Reviews & Ratings
    9 Ratings
  • FusionAuth Reviews & Ratings
    191 Ratings
    Company Website

What is Sup AI?

Sup AI is a groundbreaking platform that merges outputs from several top large language models, such as GPT, Claude, and Llama, to create responses that are more detailed, accurate, and rigorously validated than those generated by any single model. Utilizing a real-time “logprob confidence scoring” mechanism, it assesses the probability of each token to pinpoint areas of uncertainty and potential errors; when a model's confidence falls below a predetermined threshold, the response generation is immediately suspended, ensuring high-quality and trustworthy answers. The platform features “multi-model fusion,” which systematically compares and integrates outputs from various models, effectively cross-verifying and distilling the best aspects into a unified final response. Furthermore, Sup is enhanced with “multimodal RAG” (retrieval-augmented generation), which allows the incorporation of diverse external data sources, including text, PDFs, and images, thereby enriching the contextual foundation of its responses. This capability guarantees that the AI can access accurate information and remain pertinent, effectively enabling it to retain vital data, thus significantly elevating the user experience. In essence, Sup AI symbolizes a major leap forward in the processing and presentation of information through AI technology, paving the way for future developments in the field.

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

ChatGPT
Claude
Claude Fable 5
Claude Mythos 5
Claude Mythos 5.1
Claude Opus 4.8
Claude Sonnet 4.6
GLM-4.1V
GLM-4.5V
GLM-4.6
GLM-4.6V
GLM-4.7
GLM-5.1
GLM-5.2
GPT-5 mini
GPT-5 pro
GPT-5.1 Thinking
Gemini 2.5 Flash
Gemini 3.1 Pro
Qwen3-Max

Integrations Supported

ChatGPT
Claude
Claude Fable 5
Claude Mythos 5
Claude Mythos 5.1
Claude Opus 4.8
Claude Sonnet 4.6
GLM-4.1V
GLM-4.5V
GLM-4.6
GLM-4.6V
GLM-4.7
GLM-5.1
GLM-5.2
GPT-5 mini
GPT-5 pro
GPT-5.1 Thinking
Gemini 2.5 Flash
Gemini 3.1 Pro
Qwen3-Max

API Availability

Has API

API Availability

Has API

Pricing Information

$20 per month
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

Sup AI

Company Location

United States

Company Website

sup.ai/

Company Facts

Organization Name

TypeSafe AI

Date Founded

2024

Company Location

United States

Company Website

typesafe.ai/

Categories and Features

Categories and Features

Popular Alternatives

Popular Alternatives

Prisma Reviews & Ratings

Prisma

Prisma.io
WunderGraph Cosmo Reviews & Ratings

WunderGraph Cosmo

WunderGraph
next-forge Reviews & Ratings

next-forge

Vercel
Voyage AI Reviews & Ratings

Voyage AI

MongoDB