Amal coaches your product org through discovery. Amaya coaches your engineering org through greenfield builds and legacy rescues. Every decision is gated. Every artifact is human-approved. Nothing ships that your team didn't sign off on.
In enterprise trial with American Airlines (4,000+ engineers)
A senior product coach and a staff-level technical coach, as AI agents your whole org can pair with. Each coach is bounded by a specific set of governed workflows, and every artifact they produce is approved by a human before it moves forward.
Discovery, framed. Strategy, grounded.
Amal pairs with your product org the way a senior product coach would, except she runs the same discovery playbook on every idea, every team, every time. She helps your PMs pressure-test assumptions, map customer value, and produce decision-ready artifacts your leadership can actually approve.
Discover → Define → Design → Plan. Amal drives the full discovery arc, surfacing assumptions, value hypotheses, and success metrics as governed artifacts.
Amal builds and maintains your Product Avatar: a living model of your customer, market, and domain that every downstream workflow draws from.
Greenfield, governed. Legacy, rescued.
Amaya pairs with your engineering org like a staff-level technical coach, the one you always wish you had more of. She coaches greenfield builds, drives legacy rescues, and keeps your technology choices honest against the constitution. Junior and mid engineers paired with Amaya produce senior-level work.
Spec → Slice → TDD cycle → Gate. Amaya runs the full build loop, cycle by cycle, with governance checkpoints before anything is merged.
Inventory, stabilize, and modernize. Amaya coaches teams through characterization tests, seams, and incremental rewrites without freezing the business.
Amaya builds your Technology Avatar: a living profile of your stacks, patterns, and constraints, so every build and rescue respects your real architecture.
Amal and Amaya don't ship anything on their own. Every phase ends at a gate, every gate produces an artifact, and every artifact waits for a human decision before the workflow moves forward. You get the pace of AI with the accountability of a governed SDLC.
Amal and Amaya ride on top of a constitution of laws, skills, personas, and technology stacks, so every coaching decision is grounded in rules your team defines.
Governance rules across engineering, product, business, and security domains. Your AI agents follow them so your team doesn't have to enforce them manually.
React, FastAPI, Node.js, Go, and more. Each stack comes with idiomatic conventions, patterns, and best practices baked into the constitution.
From Atomic TDD to Vertical Slice Development, skills guide your AI agent step by step through every development task.
Specialized roles like Implementor, Reviewer, Architect, and Sentinel. Each persona knows its responsibilities and the laws it enforces.
Export your constitution to Claude Code, Cursor, Copilot, or any coding agent. One config, every tool.
Greenfield MVPs, brownfield migration, enterprise rollout. Step-by-step guides to get your team shipping with governance from day one.
Every AI decision flows through the MCP Constitution Server, where a judicial ensemble deliberates against 300+ laws before any code reaches your codebase.
The governance engine runs as an MCP (Model Context Protocol) server — an open standard for tool integration. Under the hood, an LLM evaluates every AI decision against constitutional law using semantic search over 300+ embedded laws and RAG-enriched context from the constitution.
Each AI decision is deliberated by specialized peer roles — Reviewer (quality & security), Architect (domain fit), Sentinel (drift detection), plus 9 more. Roles propose, object, and approve through a signaling queue with consensus-based verdicts. Unresolved objections auto-escalate.
Every development cycle passes through 5 judicial gates that validate evidence at each checkpoint. The LLM evaluates test output, code diffs, and commit artifacts against constitutional law. Pass or block — no AI-generated code reaches your codebase without a verdict tied to specific law citations.
Every verdict produces an immutable governance event: which laws were evaluated, which roles deliberated, what evidence was reviewed, and the final verdict with law citations. These events feed examiner-ready audit packages, compliance dashboards, and health-score metrics with drift detection.
Pick your stack, pair with your AI agent, and start shipping. The constitution handles the rest.
Choose your technology stack, compliance requirements, and product type. The constitution tailors itself to your team.
Start building. Your AI agent already knows the constitution, the laws, and the skills. Just tell it what you want to build.
Every commit is governed. Every decision is traceable. Your junior engineers paired with AI are producing senior-level work.
Each person Amal or Amaya coaches becomes more effective. Value scales with your team, not your headcount.
$180,000/yr annual commitment
Senior product coach: $21-25k/mo fully loaded
40% savings vs. a second hire
$280,000/yr annual commitment
Senior modernization engineer: $17-25k/mo fully loaded
Parity pricing. Never churns, scales across the org.
Annual commitment, volume pricing available
Two senior hires: $38-50k/mo fully loaded
One team. Full coverage. No headcount growth.
Every license includes 10 human seats. Need more? Add seat packs with volume discounts.