We build, we don't just advise
Every recommendation is something we have shipped.
Our case studies are real systems running today, not pilots that died after the press release. The architecture we recommend is the architecture we've debugged at 2am.
Production AI inside the systems your business actually runs on. Citation-grounded. Cost-disciplined. Built for regulated workloads. Architected to outlast the AI hype cycle, not to ride it.
Book discovery callBook a call→Seven verticals where we've shipped real AI systems in production. Tap to see the case studies and architecture inside.
Most "AI experts" you've met this year can't tell you what a vector database costs to run at scale, how a RAG pipeline fails silently, or what happens to your data after it leaves your network. They sell you a vision. We sell you a system.
We've spent the last several years building production AI inside the systems businesses actually depend on — HIPAA-compliant medical platforms, legal drafting engines with citation guarantees, ERPs with embedded OCR pipelines, and edge AI running on consumer wearables. We know what works, what costs more than it should, and where AI quietly breaks the moment it leaves a demo.
When you work with us, you get an engineering team — not a consulting deck. We'll tell you which parts of your business are ready for AI, which parts are not, what it will cost to run for the next five years, and where the risks actually sit.
Our case studies are real systems running today, not pilots that died after the press release. The architecture we recommend is the architecture we've debugged at 2am.
API tokens, infrastructure, retraining, the lot. AI is not free, and recurring costs catch most businesses off guard. We'd rather lose a deal on day one than break a budget in year two.
Extendable to 8–9 years with minor yearly maintenance. No rewrites every 18 months. Your investment lasts.
A demo proves curiosity. A working system in production proves competence. Everything below is the second kind.
Book discovery callBook a call→With the architecture, with the numbers, and with the case study where we shipped it. Click any question to see how we think about it.
No. Every AI system we design treats data residency, encryption, and tenant isolation as architectural requirements, not afterthoughts. We have built HIPAA-compliant systems where PHI never leaves the AWS BAA boundary, and on-premise legal platforms for government deployments. We design for your regulatory regime — not a generic one.
PHI bytes that traverse the public internet in our default healthcare architecture
PHI redaction before any LLM call: regex + field scrub + Comprehend Medical + Bedrock Guardrails
Four flagship systems — picked because they cover four different CXO mindsets and four different proof points. The full archive is twelve deep.
Mobile clinical dispatch · home phlebotomy
Solves the kind of NP-hard routing problem most "AI dispatch" vendors can't articulate, let alone implement. Capacity-constrained K-Means + 11-constraint filtering + OR-Tools VRPTW + 2-opt metaheuristics. Every assignment auditable.
Conversational seizure diary · Apple Watch + iPhone + Web
Planner + Agent + Parser on Claude Haiku via Bedrock. Versioned prompts as first-class data. Graceful degradation when the LLM is unavailable. Logs cost on every turn — so admins see real-time spend per patient.
Agentic content engine · we run it on ourselves
Monitors 60+ technology sources continuously via OpenClaw. Generates source-grounded ideas, drafts in the voice of five real engineers, scores on five quality dimensions. Human-in-the-loop at three checkpoints. Yes, the name is on purpose.
HIPAA-compliant medical AI · Independent Medical Examinations
Every AI component — OCR, medical NLP, embeddings, LLM — runs inside one signed AWS BAA boundary. PHI never leaves. Hybrid RAG with Reciprocal Rank Fusion. Source-cited evidence on every claim with clickable bounding boxes.
Seven verticals where we've shipped real AI systems with real users in production. Click any row to see what we ship inside it.
HIPAA-compliant medical AI · clinical document intelligence · mobile dispatch · edge AI on wearables.
Most AI projects fail in the first six weeks because the discovery was rushed and the scope was wrong. Our 5-phase model exists to prevent that. Discovery and architecture before a single line of code is written. Working features every week after that.
We map your actual workflow, identify the highest-leverage AI moments, design the pipeline end-to-end, and model 3-year TCO before development begins.
High-fidelity UI/UX, AI pipeline architecture, database schema, and a clickable prototype. If the design is wrong, this is where we fix it.
Working features every week. You review, react, redirect. No black box. Most projects ship a usable v1 within 6–8 weeks.
Functional, load, OWASP, AI-accuracy testing with your real data. UAT with your team before production.
Production deployment, team training, documentation, and tiered support — P1 response in 30 min, 24×365. Senior engineers, not BDRs.
We map your actual workflow, identify the highest-leverage AI moments, design the pipeline end-to-end, and model 3-year TCO before development begins.
High-fidelity UI/UX, AI pipeline architecture, database schema, and a clickable prototype. If the design is wrong, this is where we fix it.
Working features every week. You review, react, redirect. No black box. Most projects ship a usable v1 within 6–8 weeks.
Functional, load, OWASP, AI-accuracy testing with your real data. UAT with your team before production.
Production deployment, team training, documentation, and tiered support — P1 response in 30 min, 24×365. Senior engineers, not BDRs.
We get asked to do things every week that we will not do. Here is our charter, in plain language. If any of this conflicts with what you're looking for, we are not your team — and we'll say so on the discovery call.
If you're thinking about AI for your business and you want to talk to someone who will tell you the truth — including when AI is the wrong answer — book a call. We'll spend 30 minutes understanding what you're trying to do, what you're worried about, and whether we're the right fit.