Everyone is building agents. What changes the outcome is how fast you get a working build in front of your own data.
Standard Dev Team
~6 monthsto first POC
Large AI Developer
1–2 monthsto first POC
Dharma Maps AI
21 daysto first POC
Five layers of one delivery stack — not a menu to pick from.
Everything we ship is grounded, permissioned, and logged.
Tell us what you're buildingMost engagements use all five layers.
Understand your workflow, challenge the assumptions, and agree on what success looks like. Identify the data, systems, and constraints that shape the solution.
You getA clear problem statement, a focused scope, and measurable success criteria.
Build a working PoC or pilot against your real use case. Validate that the experience matches your vision — and demonstrate the right model, the right harness connecting it to tools and data, and the right engineering approach.
You getWorking software that demonstrates our ability to execute and gives you something concrete to evaluate.
Evaluate quality against agreed benchmarks. Test edge cases, permissions, unsafe actions, and failure scenarios. Establish guardrails and human review where judgment matters. Measure response times and operating costs.
You getEvidence of what works, known limitations, and clear criteria for going live.
Deploy into your environment, integrate with existing workflows, and roll out with monitoring, fallback paths, and rollback controls. Track quality, reliability, and cost as real usage grows.
You getA live system with clear ownership, operational support, and a process for continuous improvement.
No slideware. No six-month platform migration before value shows up.
Book a scoping callNo technical muscle in-house to build it, or an organization complex enough that standing up a proof of concept stalls for months.
Agents that plug into what you already run, ground every answer in the sources that matter, and hand your team a short list of what to do next.
Work across federal compliance, wealth management, trail mapping, and a run of standalone products — each one built end to end, from the interface down to the AI.
We work as your AI engineering team — from the first working build to a reliable system running inside your business. We connect your data, integrate your workflows, and stay accountable after launch.
Problem: Submittals piled up faster than anyone could review them. One missed gap sinks a bid.
Solution: Connects contractors to the contracts they qualify for. A 3-agent chain checks every submittal against FAR, DFARS and EM385 in minutes.
Problem: An AI wealth platform spanning four products, each needing frontend, backend and AI to one standard.
Solution: Connects one full-stack team to all four products — frontend, backend, and the AI in between.
Problem: Washington's best-loved trails were overcrowded, and land managers had no way to steer visitors elsewhere or warn them in real time.
Solution: Connects land managers to the visitors who need them — live hazard alerts and routing away from crowded trailheads.
Problem: Trekkers had no trustworthy source for live trail conditions, and no way to book directly with local guides and tea houses.
Solution: Connects people to communities, and communities to the outdoors — an app and physical map tying adventurers to local partners and stewards.
Problem: Alerts die in noisy channels. A failed deploy can't wait for someone to check Slack.
Solution: Connects an alert that matters to an actual phone call. POST a URL and it rings you; MCP lets agents page a human.
Problem: Live trivia needs a host, prepared questions, and everyone crowded around one device.
Solution: Connects a whole room to one game in a single scan — the TV runs the show, phones are the buzzers.
Problem: Work, personal, and side-project calendars that never agree, and double-bookings that slip through.
Solution: Connects the calendars you keep to the one people can see, so nobody books over you.
Sitting on a mountain of data? Let's build the system that turns it into a path forward.
Start a conversationBring us the data. We'll bring the system — grounded in what's actually true, not what's easiest to demo.