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
Solarch serves as a sophisticated tool for backend architecture, enabling users to compile, validate, self-correct, document, and deploy diagrams effectively. Unlike many AI tools that generate code first and rely on the architecture to adapt, Solarch innovatively prioritizes architecture generation, firmly based on established patterns and ensured through a rigorous Rules Engine, followed by a continuous self-correction process. The platform allows AI to suggest configurations, which are then validated by the rules, ensuring that only accurate graphs are rendered on the canvas. With a simple sentence or a basic sketch, users can convey their ideas, and Solarch seamlessly transforms that vision into a validated architectural framework, subsequently converting it into functional code. This approach centralizes all backend components on a unified platform, supported by an AI architect that adheres to established rules and maintains type safety throughout the process. Representing various backend elements such as controllers, services, repositories, tables, DTOs, and queues as interconnected node and edge graphs, Solarch organizes them into eight distinct node families and sixteen different semantic edge types. Furthermore, this systematic representation enhances clarity and efficiency in backend development, making it easier for teams to collaborate and innovate.
API Access
Has API
API Access
Has API
Integrations
LangGraph
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
$5 per month
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
Solarch
Country
United States
Website
www.solarch.dev/