LaunchGuard scans AI-built apps for launch blockers and helps you fix them. VertaAI Governance enforces declared specs across your team — pre-flight checks, PR gates, and production drift detection. From solo builder to enterprise team.
Whether you're a solo builder shipping your first AI-built app, or a team of 50 developers using AI tools across a dozen services — the same gap exists: nobody can prove the code is safe, governed, and launch-ready.
You built it with Cursor or Claude Code. It works. But is auth enforced? Are secrets exposed? Is Supabase RLS configured? You don't know — and neither does your AI.
Developer A's AI writes IAM code. Developer B doesn't know. Your engineering manager has no dashboard, no approval queue, no audit trail across 3 tools and 5 developers.
When the investor asks “is this secure?” or the auditor asks “who authorized this?” — you can't answer. There's no evidence trail from AI prompt to production.
Here's what happens — automatically, with no developer action required.
The edit was blocked before it reached the filesystem. The team knowledge was injected. The manager approved. The audit trail is complete. Total time: 90 seconds. No CLAUDE.md could do this.
From the developer's first keystroke to production CloudTrail — every stage checks the same declared spec.
CLAUDE.md tells one AI what to do in one session. VertaAI tells you what all your AIs actually did — across every session, every PR, and in production.
| Can you... | CLAUDE.md | Code Review | Snyk / SAST | VertaAI |
|---|---|---|---|---|
| Block IAM writes before the AI generates the code? | ❌ | ❌ | ❌ | ✅ |
| Tell which AI agent wrote this code and who approved it? | ❌ | ❌ | ❌ | ✅ |
| See what all 5 AI tools did to your codebase this week? | ❌ | N/A | ❌ | ✅ |
| Check if production matches what was declared? | ❌ | ❌ | ❌ | ✅ |
| Give your auditor a compliance report per service? | ❌ | ❌ | ❌ | ✅ |
| Report a governance coverage score to your VP Eng? | ❌ | ❌ | ❌ | ✅ |
| Push policy changes to every developer in real-time? | ❌ | N/A | ❌ | ✅ |
| See per-developer trust scores across your team? | ❌ | N/A | ❌ | ✅ |
Your code never leaves your machine. VertaAI sees capability types and file paths — not source code. The pre-flight hook runs locally. Track A reads PRs through GitHub's API.
Your team connects to a shared MCP server. Every AI tool gets the same governance policy, the same declared specs, the same team knowledge — no per-tool configuration.
LaunchGuard gets your app launch-ready. VertaAI Governance keeps your team governed as you scale. Same infrastructure. Natural upgrade path.
Scan your AI-built app for launch blockers. Fix them with AI-builder prompts. Get a shareable certification.
Govern AI-generated code across every developer and every tool. Pre-flight checks, PR gates, production monitoring.
Start with LaunchGuard (free scan). When your team grows, upgrade to Governance. Same GitHub connection. Same evidence engine.
No extension required. No YAML to write. The declared spec is generated from your existing code.
Install the free VS Code extension from the marketplace. Same auto-scan flow. Also supports GitHub Copilot (which does not support MCP).
AI Governance Coverage Score: what percentage of your AI-active services are governed. Per-developer trust scores. Compliance export for your auditor. Policy changes propagate to every connected developer in real-time.
One number: what percentage of AI-active services have a current, policy-compliant declared spec with no open critical drift. Report it to your VP Eng. Watch it go up as you onboard more services.
Per-developer, per-service trust score (0-100). Builds from clean PR history, accurate declarations, and absence of drift. See who's most reliable. Spot declining trust before it becomes a problem.
One-click structured document for your SOC 2 auditor: declaration history, PR gate decisions, runtime drift events, approved exceptions. Per-service, per-time-window. JSON or markdown.
Configure capability tiers, session budgets, PR gate rules, and approval routing. One policy — governs every developer, every AI tool. Changes propagate to connected editors in real-time via SSE.
Every cloud and infrastructure action your AI agent can take is classified into one of three tiers. Your engineering manager controls which tier each capability lives in via the policy pack.
All tiers are configurable via the policy pack. Your EM can move any capability between tiers without editing code. Changes propagate to every connected developer in seconds.
Know exactly who wrote what. 56 deterministic comparators on every PR. Quality score (0-100) across 5 governance dimensions. No LLM in the governance loop.
AI Governance Coverage Score. Per-developer trust trajectories. Compliance export for the auditor. Policy changes propagate in real-time across all AI tools.
5 critical capabilities blocked at the system level. CloudTrail drift detection. Every declaration stamped with the policy version. Compliance export per service per time window.
Private beta. We're onboarding engineering teams deploying AI coding agents at scale.
VertaAI is in private beta. We're onboarding engineering teams that need real enforcement — not just instructions — for their AI coding agents.