Not advisors. Engineers who ship.
Embedded AI residencies, fractional CTO work, remote-first operations redesign. Pick the mode that fits your moment. Every engagement ends with production code, not a PDF.
An independent review of your AI systems β what works, what doesn't, what to fix first. You get a prioritised action list, not a report that gathers dust.
β Independent evaluation across architecture, security, performance, and ROI
β Prioritised action list ranked by business impact and effort
β Typical engagement runs 4-5 weeks from discovery to handoff
We connect AI to the systems that actually run your business β CRMs, ERPs, data warehouses, legacy platforms. No standalone demos. Production systems that ship.
β AI connected to your existing systems β CRMs, ERPs, data warehouses β not bolted on as a standalone tool
β Function-calling architecture keeps LLMs predictable and within well-defined rails
β Knowledge transfer so your team owns the integration long-term
Proactive support that keeps your AI systems accurate, fast, and cost-effective after launch. Models drift. We catch it before your users do.
β Continuous monitoring catches degradation weeks before users notice
β Infrastructure tuning typically cuts AI operating costs 30-40%
β Gradual handoff builds your internal team's MLOps capability
Hands-on AI training built around your team's stack, data, and problems. Not slides β skills your people use the next day.
β Every program is built from your actual tools, data, and business problems β no toy examples
β Works for mixed audiences β your CEO gets strategic clarity, your lead engineer gets implementation patterns
β Teams ship production AI features within weeks of completing technical training
A hands-on technical leader embedded in your team 1-3 days a week. Architecture decisions, team building, and production code β not slide decks.
β Embedded operator who writes code and owns outcomes, not an advisor who writes decks
β Full CTO-grade leadership at a fraction of the cost, starting in days not months
β 25+ years shipping production systems across 58 countries
I embed with your engineering team for 4-6 weeks. We build production AI systems together, and I leave when your team can run them without me.
β Your team ships production AI by building it alongside a practitioner β not by watching slides
β 38% improvement in prompt success rates across residency participants
β Every engagement ships production systems, not slide decks
Seven years of running real work across 58 countries. Not remote-friendly policies β a different operating model.
β Async-first workflows that cut meeting overhead by 40-60%
β Proven across 58 countries since 2018 β before remote was forced on everyone
β Built on Estonia's e-Residency infrastructure β fully digital, fully legal, no physical office required
Hands-on technology guidance from someone who builds, not just recommends. Stack selection, architecture decisions, and build-vs-buy calls backed by 25+ years of shipping.
β Every recommendation backed by having built and shipped similar systems
β Prove it works before you commit β prototypes, not just presentations
β Build-partner-buy decisions grounded in 25+ years across 58 countries
Don't take our word for it
Production systems shipped. Broken projects rescued. Teams that now build AI on their own. Read the receipts.