Twenty+One / How it works
Twenty+ specialist agents. One accountable Build Lead. Your own environment. This is the platform your dev team runs on, and the name explains itself.
Twenty-plus specialist roles on your project alone: architects, builders, testers, security, performance, documentation. They work in parallel, around the clock, inside strict guardrails; nothing merges without passing the gates. They don't just write code; they hold the full context of your product, so sprint 20 ships as fast as sprint 1, and that context is the platform's, not one person's, which is why your delivery never tracks who happens to be available.
Every project gets one senior human Build Lead: accountable for architecture, quality, and delivery, end to end. They control what the agents do, review what ships, and stay after launch. When you have a question, you talk to them. When something breaks, it's theirs. And because your agents hold your product's full context, not their head, you depend on the role, never on the individual: if your Build Lead ever changes, the next one inherits a fully described system and picks up the pen. A handover, not a restart. The agents hold the context; the human holds the pen that signs.
Your own workspace: your Jira board, your backlog, and your project connected to the AI assistant you already use; Claude, ChatGPT, or Gemini. Write stories with agent support from inside the tool you talk to every day, watch them move across the board, see working software land. Full visibility, zero project-management overhead, zero new tools to learn.
Your team doesn't run on a shared platform; it runs on your instance of it. Your 20+ agents and the infrastructure they work on are provisioned for your project alone: single-tenant by design, with your product's context, code, and data isolated at the architecture level, inside the EU. No shared pool, no cross-client contamination, nothing of your build living next to someone else's. Dedicated isn't a metaphor here; it's how the platform is built.
Security, compliance, and performance are process gates, not review steps. Built for real operations from day one: audit trails, access control, testing depth that survives an enterprise procurement review. And built for your operations: deployed into your existing environment when that's where it belongs, integrated with the systems you already run; your software lands in your world, not in ours.
The AI stack reinvents itself every quarter: new models, new tools, new failure modes. Keeping a delivery system current is a platform-engineering job that never ends, and it's ours: models re-evaluated and re-routed the week they land, guardrails re-tuned, security kept current. Your experience never changes: stories in, accepted software out. AI-native delivery, without funding the R&D treadmill.
The platform doesn't run on one AI vendor: your agents route every task to the best model for the job, on quality and cost, in real time. No single vendor's pricing, speed, or rate limits is a dependency. And commercially it can't touch you anyway: you pay per accepted story, so tokens are our problem. There is no token line item, ever.