Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
RevvADAS revolutionizes the process of ADAS research by delivering automation in mere seconds, enabling shops to swiftly pinpoint and execute calibrations that lead to significant profit margins. Enhance your business with comprehensive reports covering ADAS, Steering, Safety, and Functional operations, ensuring a boost in revenue while conserving valuable time and safeguarding against liability risks. With RevvADAS, you can efficiently decode VINs to reveal both equipped and optional ADAS features using the most reliable as-built data available. The system accurately identifies necessary ADAS calibrations, safety, and functional procedures in accordance with OEM-specific guidelines, ensuring precision in every task. Additionally, it offers prompts for optional sensors and specifies detailed procedure types suitable for insurance-grade invoicing, as well as assistance with alignment checks, essential tools, and requirements. Covering vehicles from the year 2000 to the present, our platform caters to a wide variety of popular brands and models, making it an indispensable tool for any automotive business looking to thrive. With RevvADAS, streamline your operations and elevate your service offerings to new heights.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
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).
Output tokens: FREE (too cheap to meter).
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
TypeSafe AI
Founded
2024
Country
United States
Website
typesafe.ai/
Vendor Details
Company Name
Revv
Country
United States
Website
www.revvhq.com
Product Features
Product Features
Calibration Management
Calibration Instructions
Calibration Schedules
Compliance Management
Device History
Due Date Tracking
Gage Management
Label Printing
Measurement Readings
Multi-Station Management
Out-of-Tolerance Notification
Statistical Data Reporting