Review infrastructure
for the AI era.
Software teams are generating more code than ever before. AI coding tools have dramatically increased development speed — but review quality has not kept up. That is where we come in.
We have built other AI apps. We have worked with AI development for years. We have shipped millions of lines of code with agents. We know what it takes to move fast — and we know what happens when you do not catch the problems in time.
Why ship slop? Ship perfection. Fix it before anyone sees it.
That is why we built Critique — and Remedy. Review infrastructure that actually catches what matters, and an agent that turns findings into fixes before they reach production.
CI cannot reliably detect whether a change introduces architectural drift, quietly increases regression risk, weakens security boundaries, breaks hidden dependencies, or removes important test coverage.
Our platform adds an intelligent AI review layer on top of GitHub pull requests. Instead of relying on a single model pass, we use a layered system of retrieval, specialist analysis, and final reasoning.
The result is a review system that behaves less like a chatbot and more like a team of engineers reviewing the code together.
“We are not building another autocomplete tool. We are building review infrastructure for the AI era.”
High-end review quality
without premium model costs.
Our architecture distributes work across a wide range of high-performance coding models, delivering strong reasoning and deep code understanding without forcing every review through the most expensive model tier.
Handle narrow inspection tasks
Narrows the codebase context first
Handle only the final judgment
Model-Flexible Architecture
Most AI review tools lock you into one vendor or model stack. Our platform allows teams to choose from multiple leading coding models depending on performance, cost, and review depth.
Multi-Agent Review
Typical AI review tools rely on a single model attempting to do everything. Our system separates the process into scouting, specialist analysis, and final reasoning — producing more accurate findings and clearer output.
Built for Cost Efficiency
Low-risk changes use faster, cheaper models. Sensitive code paths escalate to deeper analysis. Teams run far more reviews without exploding their AI budget.
Repository-Aware Reviews
Most review bots only look at the diff. Our system explores surrounding files, dependencies, and tests to understand the real impact — so hidden side effects are far more likely to be detected.
Configurable Review Policies
Teams define how strict reviews should be across different repositories and branches — require tests for API changes, escalate security reviews for auth code, enforce architecture rules in specific modules.
Coding assistant built into GitHub. Helps write code faster and can assist with pull request reviews.
Deep engineering review with greater control over model choice, policy enforcement, review strictness, and cost routing. Copilot accelerates generation. We focus on making what gets merged actually safe.
Strong AI reviewer focused on detecting bugs and code issues inside pull requests.
A full review architecture — retrieval, specialist agents, and a lead reasoning model — in layers. Teams can configure the model stack used for each review, allowing greater flexibility in performance and cost control.
Already invested in an
AI coding ecosystem?
Critique acts as the master orchestrator — scouting the repo, running the deep multi-agent review, and generating a precise execution blueprint. It then hands that blueprint directly to your existing AI subscription to write the code. You save your Critique credits entirely for what we do best: high-end, multi-model, deep-context review.
Hand off the fix blueprint to Codex. Your OpenAI subscription handles the actual code writing — zero Critique credits spent on execution.
Route execution to Claude Code and let your Anthropic plan do the heavy lifting. Critique reviews, Claude fixes — two subscriptions, one seamless workflow.
Already on Copilot? Plug it in as the execution layer. Your Copilot subscription writes the patch while Critique stays focused on review quality.
By plugging in your own coding agent, you utilise subscriptions you already pay for to do the typing and fixing. Your Critique credits are reserved entirely for deep, multi-model review — the part no other tool does as well. If you do not have any of these, our built-in Remedy cloud agent covers all execution in-platform.
AI will write a massive
percentage of the world's software.
That means review quality will become one of the most important safeguards in engineering. The future of development is not just AI that writes code — it is AI that helps teams understand, review, and trust the code that gets merged.
That is the system we are building.