Measurable AI. Disciplined SDLC.
Three products. One loop: deploy AI into your existing process, measure everything, improve based on data — not hype.
Factory
Coming SoonYour SDLC, AI-ready. Every artifact retained.
No Rip-and-Replace
Most AI SDLC tools ask you to rebuild your workflow around them. Factory does the opposite — it embeds into your existing process. Same tickets, same PRs, same review gates. AI adds velocity, not disruption.
Every Artifact, Intact
Your delivery process carries institutional knowledge — in PRs, review comments, testing gates, compliance checkpoints. Factory retains every artifact, enriches it with AI signal, and makes the whole pipeline measurable.
10× Faster. Same Discipline.
Factory makes your AI-augmented SDLC as disciplined as your current process. Same compliance posture. Same quality gates. Dramatically higher velocity — with data to prove it.
Observability
Coming SoonFull telemetry for every layer of your AI stack.
End the Black Box
AI agents make decisions without leaving a trail. When something breaks in production — and it will — you're debugging blind. Observability instruments every agent, every prompt, every tool call with the signal you need.
Token Waste You Can't See
Unoptimized prompts bleed budget silently. Observability shows you exactly where tokens are wasted, which agents are looping, and what it's actually costing per outcome — not per request.
Process Velocity, Measured
Beyond token cost: track code quality scores, security impact, refactoring ROI, and AI adoption velocity across your team. Turn AI SDLC from a gut feeling into a dashboard.
Experiment
Invite-OnlyStop testing everything. Test what matters.
The Wrong Model Is Expensive
Frontier models are powerful — and 10–100× more expensive than what most tasks require. Without data, you default to expensive. Experiment finds the minimum viable model for each job, before it costs you.
Production Reality vs. Demo Magic
AI agents work brilliantly in demos. Then production happens. Inconsistent outputs, unexpected costs, business-critical failures. Experiment surfaces the 20% of evaluation signals that prevent 80% of production failures.
Business-Specific. Not Generic.
Built from 100+ production deployments across Insurance, Healthcare, and GovTech. Experiment delivers risk-optimized, industry-tailored metrics that matter for your insurance claims processor — not someone else's chatbot.
All Three. One Deployment.
Factory, Observability, and Experiment are designed to work together — and to slot into your existing SDLC without replacing it. Get early access.
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