We've launched seven companies from scratch. That experience taught us urgency, resourcefulness, and focus on what actually ships. It's how we approach every AI engagement.
Years of products that had to work, with teams that had to be small, on timelines that had to be fast. Every principle here has been tested with our own capital.
We find the highest-value workflow and define measurable KPIs before writing a line of code. Just because you can build it doesn't mean you should.
The same way we validate a startup idea before raising capital, we validate AI use cases before committing to full builds. Cheap to learn, fast to pivot.
No 6-month roadmaps that deliver nothing until the end. A working prototype, a deployed system, measurable results. At every step, not just the last one.
Every system ships with an evaluation harness that measures quality, safety, and cost. We learned this building our own ventures. Production failures are expensive when it's your money.
We wire directly into your existing tools, workflows, and data systems. No new apps to learn, no extra tabs to manage. Meet people where they already work.
Architecture docs, runbooks, training, and playbooks. Your team runs and expands the system without us. If you're still dependent on us after handoff, we didn't do our job.
Prioritized use cases, data readiness, risk register, and a build backlog.
Working AI system wired into one production workflow with eval harness and safety gates.
Testing, monitoring, rollback procedures, phased rollout with go/no-go gates.
Quality and cost optimization, expansion to adjacent workflows, training, governance.
AI isn't just what we build for clients. It's how we build. Every tool and technique we recommend, we've already tested on our own ventures and our own revenue.
AI-assisted market research, competitive analysis, and business model stress-testing. We validate ideas using virtual panels that simulate diverse stakeholder perspectives before investing in a build.
Our engineers work with AI co-pilots daily. SoloStream was built by one engineer in three months. PolicyFlow's insurance platform was built by a single senior developer. That's the pace we bring to your project, because it's how we build our own.
We use AI to stress-test our own decisions: running opposing viewpoints, challenging assumptions, and identifying blind spots before they become expensive mistakes.
From financial modeling to distribution strategy to content generation, AI accelerates the business-building side, not just the tech. We build the business case alongside the product.
Faster time-to-production vs. traditional builds
Reduction in manual steps for targeted workflows
Sprint kickoff to a production deployment
Directional targets based on our venture portfolio. Actuals depend on workflow complexity and data readiness.
Fixed-fee for Discovery. Fixed-scope for Build. Retainer for Improve. Stop after any phase. No lock-in. No surprises. You see results before you commit further.
Nothing ships without meeting quality and safety thresholds defined during the Sprint. Explicit testing, monitoring, and rollback procedures.
Architecture diagrams, eval results, runbooks, and training materials. Your team operates independently from day one.
Optional linkage to NIST AI RMF and ISO-style management controls. AI risk register with model/system owner accountability. NDA available on request.