We don't just talk AI. We deliver it.

Most projects ship a working production system in 6–10 weeks. We start with a 2-week discovery to map workflows and validate the highest-leverage opportunity, then build, deploy, and train your team in parallel. You see working software within the first month.

No. Most of our clients have messy, scattered data — that is the normal starting point. Part of our job is figuring out what data matters and how to surface it. If you had clean data already organized for AI, you would not need us.

You're in the majority. The reason most AI projects fail isn't the model — it's adoption. We design every solution around how your team actually works, deploy it inside the tools they already use (Slack, WhatsApp, your CRM), and train them on it. Adoption is part of the deliverable, not an afterthought.

Consultants give you slide decks. Freelancers ship one-off code. We do both — strategy and implementation — and we own the outcome end-to-end. Our value isn't hours billed; it's a system in production that your team uses every day.

Adoption is non-negotiable for us — it's how we measure success. Every engagement includes hands-on training, integration into your existing workflows (not separate tools), and a 30-day adoption phase where we iterate on real usage data. If your team isn't using it, we haven't finished.

You own the system, the code, and the documentation. We offer optional retainers for ongoing optimization, model updates, and feature additions, but most clients run with what we built and only call us back for the next opportunity.

Engagements range from $15K for focused single-workflow projects to $80K+ for multi-team platforms. We scope each engagement after a free discovery call so you get a fixed price, not an hourly meter.

Yes — most of our clients don't have one. We handle all engineering, deployment, and infrastructure ourselves, and we deliver systems your non-technical team can run. You don't need a CTO to work with us.