AI-to-AI code review using multiple models to reach consensus.
Product memo
Developers and engineering teams use 2ndOpinion for AI-powered code review and analysis. It orchestrates multiple AI models, including Claude, Codex, and Gemini, to communicate and debate code issues. This unique AI-to-AI consensus approach aims to deliver more reliable feedback and catch edge cases that a single model might miss, giving teams higher confidence in their code quality.
For who
Developers and engineering teams
Solves what
AI-powered code review and analysis using multiple AI models
- Multi-model AI code review
- AI-to-AI communication
- Consensus-based risk identification
In their own words
Claude, Codex, and Gemini just joined forces
For the first time, three competing AI models can communicate, cross-check, and reach consensus on your code. When they agree on a risk, you know it's real. When they disagree, you've found an edge case worth investigating.
The first platform where Claude, Codex, and Gemini communicate with each other to review your code.
Commercial cues
Model
hybrid
Free tier
Yes
Trial
7d
Pricing Strategy
- • Tiered monthly plans offer increasing credits for predictable team usage.
- • 7-day trial lowers adoption risk.
Operator context
Founded
Feb 2026
HQ
United States
Platform
API
Audience
Developers
Payments
Stripe
Public footprint
Tech stack
Builder Strategy
- Strategy Type
- Ai Wrapper
- Stage
- Pre Revenue
- Effort
- Solo Buildable
About 2ndopinion Expand
2ndOpinion offers developers and engineering teams an AI-powered platform for code review and analysis. It stands out by orchestrating multiple AI models, such as Claude, Codex, and Gemini, enabling them to communicate and debate findings.
This unique AI-to-AI consensus approach aims to provide more reliable and thorough code feedback, helping teams identify potential issues and edge cases before deployment. The platform's hybrid pricing model, combining monthly subscriptions with usage-based credit packs, caters to both consistent team workflows and flexible, on-demand analysis requirements.