Codai — Universal AI Model Platform

Description

Codai is a universal AI model platform designed to streamline the process of selecting and utilizing frontier AI models. It automatically routes tasks to the best available models, such as Claude, GPT-5, and Gemini, ensuring top-tier quality by default. Codai's smart model selection classifies prompts and checks historical success rates to pick the optimal model tier, whether for quick fixes or deep reasoning.

The platform operates with sub-80ms dispatch, running a lightweight classifier locally to eliminate cold-start overhead. Model selection is informed by benchmark-driven priors, using real HumanEval, MMLU-Pro, and Aider Polyglot benchmarks. Codai offers predictable pricing with flat-rate task budgets, selling outcomes rather than tokens, and ensuring no per-token surprises.

Codai's universal model roster includes Claude 4, GPT-5, and Gemini, all accessible through one endpoint, allowing users to switch providers without code changes. Security is a foundational aspect, with envelope encryption, zero plaintext secrets, and GDPR-ready data residency in the EU. Codai also provides live benchmarks, running weekly on production infrastructure to ensure transparency and reliability.

Pricing plans range from free to pro, catering to different user needs, from curious developers to teams shipping AI features in production. Codai Resolve offers execution-verified bug fixes for public GitHub repos, with a guarantee of no fix, no fee. The platform supports Python and JavaScript/TypeScript projects, providing a shareable attestation for verified fixes.

Codai's Core Features

• Benchmark-driven model selection

• Smart model selection

• Sub-80ms dispatch

• Predictable pricing

• Universal model roster

• Enterprise-grade security

• Live benchmarks

• Execution-verified bug fixes

• Flat-rate plans

• Public attestation for fixes

• Envelope encryption

• Zero-trust architecture

• GDPR-ready data residency

• Immutable audit log

• Open Telemetry

How to use Codai?

1. 1

   Configure: Point your base URL at api.codai.ro

2. 2

   Use: Submit tasks using the Codai API

3. 3

   Optimise: Monitor model selection and adjust settings

4. 4

   Verify: Use Codai Resolve for bug fixes

Codai's Use Cases

• Model selection
• Bug fixing
• Cost optimization
• Security compliance
• Benchmark analysis

FAQ from Codai

• What is Codai's universal AI model platform?

  Codai is a platform that automatically selects the optimal frontier AI model for each task, ensuring top-tier quality at the lowest cost.

• How does Codai ensure model selection?

  Codai uses a smart model selection process that classifies prompts and checks historical success rates to pick the optimal model tier.

• What benchmarks does Codai use?

  Codai uses benchmarks like HumanEval, MMLU-Pro, and Aider Polyglot to inform model selection.

• What pricing plans does Codai offer?

  Codai offers flat-rate plans ranging from free to pro, catering to different user needs.

• How does Codai ensure security?

  Codai employs envelope encryption, zero-trust architecture, and GDPR-ready data residency to ensure security.

• What is Codai Resolve?

  Codai Resolve offers execution-verified bug fixes for public GitHub repos, with a guarantee of no fix, no fee.

• What programming languages does Codai Resolve support?

  Codai Resolve supports Python and JavaScript/TypeScript projects.

• How does Codai handle pricing?

  Codai offers predictable pricing with flat-rate task budgets, selling outcomes rather than tokens.