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

  • SCIKIQ Reviews & Ratings
    14 Ratings
    Company Website
  • SurveyJS Reviews & Ratings
    64 Ratings
    Company Website
  • Resco Inspections+ Reviews & Ratings
    68 Ratings
    Company Website
  • Building Logistics Reviews & Ratings
    186 Ratings
    Company Website
  • Chainstack Reviews & Ratings
    34 Ratings
    Company Website
  • Coevera Reviews & Ratings
    752 Ratings
    Company Website
  • AddSearch Reviews & Ratings
    140 Ratings
    Company Website
  • JSCAPE MFT Server Reviews & Ratings
    188 Ratings
    Company Website
  • Passwork Reviews & Ratings
    127 Ratings
    Company Website
  • Dialpad Support Reviews & Ratings
    1,600 Ratings
    Company Website

What is Solarch?

Solarch functions as an advanced backend architecture tool, empowering users to compile, validate, self-correct, document, and deploy diagrams with efficiency. In contrast to many AI solutions that prioritize code generation and adjust the architecture accordingly, Solarch takes a groundbreaking approach by focusing on architecture generation first, based on proven patterns and verified through a robust Rules Engine, complemented by an ongoing self-correction mechanism. The platform permits AI to propose configurations, which are subsequently validated against the rules, ensuring that only precise graphs appear on the canvas. Users can easily express their concepts through a straightforward sentence or a simple sketch, and Solarch adeptly translates that vision into a verified architectural framework before converting it into operational code. This methodology consolidates all backend components onto a single platform, facilitated by an AI architect that follows established guidelines and upholds type safety throughout the entire process. By depicting various backend elements, including controllers, services, repositories, tables, DTOs, and queues, as interconnected node and edge graphs, Solarch categorizes them into eight distinct node families and sixteen unique semantic edge types. Additionally, this structured representation not only enhances clarity and efficiency in backend development but also fosters improved collaboration and innovation among teams, ultimately leading to more cohesive project outcomes. As a result, developers can focus more on creativity and problem-solving rather than getting bogged down by the complexities of backend architecture.

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

LangGraph

Integrations Supported

LangGraph

API Availability

Has API

API Availability

Has API

Pricing Information

$5 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

Solarch

Company Location

United States

Company Website

www.solarch.dev/

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

CodeMender Reviews & Ratings

CodeMender

Google DeepMind

Popular Alternatives

Prisma Reviews & Ratings

Prisma

Prisma.io
WunderGraph Cosmo Reviews & Ratings

WunderGraph Cosmo

WunderGraph
next-forge Reviews & Ratings

next-forge

Vercel