Discovery & Analysis
We dig into your data, understand your constraints, and identify what's actually feasible. Not what sounds impressive, what will work.
We cover the full lifecycle of AI projects: strategy, feasibility, custom model development, deployment, and ongoing optimization. Every engagement starts with an honest read on what's feasible and what isn't, grounded in real-world constraints we've shipped against since 2023.
We start small, validate assumptions, then scale what works. No six-month projects that deliver nothing until the end.
We dig into your data, understand your constraints, and identify what's actually feasible. Not what sounds impressive, what will work.
We design an approach that fits your infrastructure, team capabilities, and timeline. Sometimes that means building custom. Sometimes it means using existing tools smarter.
We build in phases. Early versions might be rough, but they work. You see real output, not progress reports. This lets us adjust before we've built the wrong thing.
We test on your actual data, with your actual edge cases. Models that work in development but fail in production are worthless. We catch problems before deployment.
We ship to production, not to a staging environment that sits there forever. Your system goes live, handles real traffic, and we're there to fix what breaks.
We watch how the system performs in the real world. When accuracy drops or latency spikes, we investigate and fix it. AI systems need ongoing attention.
Engineering discipline over hype. Every system built to last.
Built on battle-tested foundations, not experimental trends that break in production.
Designed around your business logic and data, not stretched to fit a template.
Tested against the exceptions that happen in the real world, not just the happy path.
Continuous oversight catches drift and issues before your users ever notice.
Your team understands exactly how everything works. No black boxes.
I take every intro call myself. If we're a fit, you'll work directly with me, not a junior assigned to your account. If we're not, I'll tell you on the call and point you at a better path. The work I want to do is the work that actually ships.
Senior engineer on every line of code
Vendor-neutral architecture decisions
Production-grade systems from week one
Knowledge transfer to your team
Pitched by partners, built by juniors
Locked into the agency's tech stack
Demos that don't survive contact with prod
Ongoing dependency by design
12+ months to hire a senior AI team
Trial and error on your dollar
No outside view on what's actually feasible
Burnout risk on a single critical hire
We scope every engagement on the discovery call. Pricing depends on the shape of the work: fixed-fee discovery sprints, milestone-based build engagements, or retainer for embedded work. No SaaS pricing pages, no surprise invoices.