AI Development Company for Production, Not Demos

Most AI projects die in the same place: between a prototype that proves the model can work once, and a system that works every time — on messy real data, without leaking anything it shouldn't, with a record of what it did. That gap is the product. This page is about building AI for it.

The demo-to-production gap

A clever prototype wins a meeting. Production wins trust: it handles real, messy data, every day, with guardrails, monitoring and a record auditors can read. The work that closes that gap — evaluation, data pipelines, human review, observability — is exactly where most AI initiatives stall. We build for the gap, not the demo.

What production-grade AI actually needs

• Clean, governed data. Messy data is where AI quietly goes wrong. The pipeline matters more than the model.
• Human-in-the-loop. For anything affecting money, care or compliance, a person signs off — measured accuracy plus human review, not autonomous black-box decisions.
• Measured accuracy. Accuracy you can report and defend, not a vibe. Evaluation is part of the build.
• Guardrails and observability. Know what the system did and why, and catch failures before users do.
• Compliance. On regulated data, AI runs inside a verified framework (PHI masking, audit logs), not a repurposed consumer chatbot.

AI in regulated industries

A consumer chatbot pointed at patient or card data does not become compliant because the model is good. AI on regulated data has to run inside the right architecture — HIPAA-aligned environments, PHI masking, audit logging, human review on anything affecting care. In these domains the winners aren't the flashiest models; they're the ones whose AI passes the audit. See our HIPAA-compliant development approach.

AI you can verify, not just trust

We open-source our hardest work — the Kite agent framework and the Nebula on-device GraphRAG engine — so a technical buyer or investor can read the code instead of taking a pitch on faith. In a field full of black boxes, verifiable is the differentiator.

How we build, and the proof

Senior, founder-led engineering, fixed price per phase from $10K/month, and you own the IP, source code and repository from day one. We're rated 5.0 on Clutch for GenRx, a HIPAA-aligned engine that reads messy clinical PDFs and predicts pharmacokinetic metrics — built foundation-first, before a single prediction ran. See the case studies for more.

What it costs, and how fast

Fixed price per phase, from $10K/month, so you know the number up front. A credible working demo in around 10 days; a production-grade AI build in roughly 6 weeks per phase. You own everything. For the general picture see our development cost guide, or talk to us.