Turn individual AI use into governed, consistent delivery across your engineering teams. We build the method, shared context and cost controls inside your environment, so agents deliver at team scale with quality and control.
Four solutions by stage.
AI has made individual developers faster, but most organizations still cannot turn that into consistent delivery across whole teams. Review bottlenecks, context rot between sessions, security risks on developer laptops and unplanned token spend get in the way. Our Agentic SDLC Factory Platform builds that capability inside your environment.
A governed software factory, built inside your environment on our method: the Twelve-Factor Agentic SDLC Methodology.
It plugs into the stack you already run and covers the entire lifecycle, from intent to deployment.
It includes all four solutions below, giving AI agents the structure to deliver at team scale with quality, cost and control.
Take the whole platform, or start with the stage you’re in.
From vibe coding to a team method.
Spec-Driven Development, on your real code.
From lost context to shared memory.
Rules, skills, evals and context in Git.
From mission brief to production.
A managed path, with your approval at each gate.
From unplanned bills to controlled spend.
One gateway for model routing and budgets.
Start with a 10-day Discovery sprint. We pick one engineering group and one business area where you want to see business impact. We scan how the team works and measure your starting point. Then we present the solution that fits you and the stage to start with.
One engineering group (up to 50 people), in the business area where you want to see impact.
Map security, infrastructure, workflows and past decisions. Create the AI directive and workspace docs.
Developer survey and system metrics, plus one agreed KPI to measure impact.
We present an Architecture Description (AD) deck with the solution that fits you and the stage to start with.
What we need from you to start: A named internal AI lead, read-only access to a representative project, and a security and infrastructure contact.
We work in your repositories, with your tools and your teams, so the change shows up in your delivery results.
Buy the agent, build the factory floor. You keep the agents and tools you chose, and we build the governed structure around them.
Everything rests on the Twelve-Factor Agentic SDLC Methodology, so each stage follows the same principles.
Each solution has its own length: AI Transformation 6 weeks, Shared Brain 6 weeks, the Agentic Factory Floor 12 weeks and AI Cost Optimization 6 weeks. You can run a single solution to solve your most urgent bottleneck, phase them sequentially, or combine them into an integrated Factory program before moving on to the next group.
The Platform scales across your whole engineering organization. Each implementation batch covers up to about 50 developers, and larger organizations run several batches.
Yes. Each solution runs on its own, and most teams begin with the stage that matches their biggest need and add the others later.
Yes. The platform plugs into the stack you already run and adds the structure around it.
Inside your environment, on your code, with your teams.
We work in a dual-responsibility model: your developers stay focused on delivering your product roadmap, while an embedded Agentic Squad (a Transformation Lead and two Forward-Deployed AI Engineers) builds the factory floor, pipelines, and guardrails alongside them.
The rules, skills and context live in your own Git repository, and each solution ends with a handover to your teams.
Hosted agents are a great way to get one team started in minutes. You build a factory floor when you scale across multiple teams and need to own the code snapshot, cloud sandboxes, tool catalog, and human approval gates. We don't compete with your coding agents, we build the governed floor underneath them.
Share your goal, and we’ll suggest the first step.
