Senior AI leadership, on your side of the table.
An operator who has built and sold AI products sits with your leadership team: AI strategy and roadmap, build-vs-buy and vendor selection, architecture and security reviews, hiring plans, and board-ready briefings. You get the judgment of a CTO without the full-time hire.
Retainer, 2–4 days a month, cancel any time
- 90-day AI roadmap tied to revenue or cost outcomes
- Build-vs-buy and model/vendor decisions with written rationale
- Architecture, security, and cost reviews of AI work in flight
- Hiring plan, interview loops, and team enablement sessions
- Monthly board / exec briefing and written memo
- Direct line to a senior engineer for unblockers between sessions
Decisions in writing, from people who have shipped and sold.
Every month produces something your team and board can act on. No slide-ware, no vendor kickbacks, no hedging.
AI strategy & roadmap
A 90-day plan tied to revenue or cost outcomes, sequenced by risk. What to build first, what to buy, what to ignore.
Build vs. buy & vendor selection
Model, platform, and tooling decisions with written rationale. We have shipped on OpenAI, Anthropic, Bedrock, Azure, and Vertex.
Architecture, security & cost reviews
Reviews of AI work in flight: retrieval shape, guardrails, data handling, observability, and unit economics before traffic ramps.
Hiring & team enablement
Role scoping, interview loops, and hands-on sessions so your engineers ship AI features with evals, not vibes.
Board & investor briefings
Plain-language memos and live briefings on where AI changes your product, margin, and competitive position.
Diligence & second opinions
Independent review of AI roadmaps, vendor proposals, or acquisition targets. Evidence-led, no vendor incentives.
Diagnostic first. Then a roadmap you can fund.
Diagnostic (week 1)
Interviews with leadership and engineering, a read of the codebase and data, and a one-page view of where you actually are.
Roadmap (weeks 2–3)
A ranked 90-day plan with owners, budgets, and the metric each bet moves. Build-vs-buy calls made in writing.
Cadence (monthly)
Working sessions, reviews of work in flight, async unblockers, and a monthly memo your board can read.
Built for leaders who need an AI thesis they can defend.
- Founders and execs who need an AI thesis they can defend
- Teams shipping AI without a senior AI leader in the room
- Boards and investors doing diligence on AI roadmaps
From Google Loon and a $100M+ exit to founding Particle Space and helping companies 3x.
David Biga has been writing software since he was ten. He started in C++ building games, paid for high school with PHP contracts off Craigslist, and spent his university years at Google Loon building the launch systems that let stratospheric balloons lift off autonomously from anywhere on earth.
He then joined EyeVerify in Kansas City as one of its early engineers, designing the C++ core of the identity-verification SDK that carried the company (later Zoloz) to a $100M+ acquisition by Alibaba’s Ant Financial. That exit lit the entrepreneurial fuse: David went on to found Particle Space, a real estate data platform that turned fragmented property records across the US and Japan into clean, AI-enriched APIs, and ran it from zero to revenue to an acquisition in 2023.
Along the way he has been a founding engineer, CTO, and CEO across a string of Kansas City startups, helping found companies that have since 3x’d, raising rounds, closing sales, and still shipping code. He hosts The Gitlit Podcast on the real journey of tech founders, and when he is not building he is mountain biking, hiking, or cave diving (yes, he is certified, which is how Scuber happened).
- Founder, Particle Space (US + Japan real estate data APIs), acquired 2023
- Early core engineer at EyeVerify / Zoloz, acquired by Alibaba for $100M+
- Google Loon: autonomous balloon launch systems, front and back end
- Founding engineer, CTO, and CEO roles across Kansas City startups that 3x’d
- Host of The Gitlit Podcast; builder of Pivotly (#8 AI product on Product Hunt)
- Ships his own apps: Tori, Akiya Listings, Scuber, Paystack, Leasey
- Age 10First lines of C++
Chicago. Games in Blender, then PHP contracts through high school.
- UniversityGoogle Loon
Front and back end launch systems for autonomous stratospheric balloon launches.
- Kansas CityEyeVerify → Zoloz
C++ core of the identity-verification SDK. Acquired by Alibaba (Ant Financial) for $100M+.
- FounderParticle Space
Real estate data platform, US and Japan. Zero to revenue to acquisition in 2023.
- OperatorCTO / CEO roles
Helped found and scale Kansas City startups that have since 3x’d. Fundraising, sales, and code.
- NowCodelucent
AI design studio and advisory in Kansas City and Tokyo. Ships its own apps, treats yours the same way.
What leaders ask us first.
How is AI advisory different from your engineering engagements?
Advisory is leadership time, not build time. You get strategy, decisions, reviews, and briefings on a monthly retainer. If a decision turns into a build, we can scope it separately or hand the plan to your team.
Who actually does the advising?
David Biga, founder of Codelucent and of Particle Space, a real estate data platform he built from zero and sold in 2023. He was an early core engineer at EyeVerify / Zoloz through its $100M+ acquisition by Alibaba, built launch systems at Google Loon, and has helped found multiple companies that have since 3x’d as founding engineer, CTO, and CEO. You work with the operator, not an account manager.
What does a typical month look like?
Two to four working days: a leadership session, an engineering review, async answers in your Slack, and a written memo. Cadence flexes around launches and board cycles.
Do you work with teams outside Kansas City and Tokyo?
Yes. Most advisory is remote across US and Japan time zones. We meet in person in Kansas City and Tokyo when it helps.
Can you act as our fractional AI CTO?
Yes. Many clients use advisory exactly that way: a named senior AI leader who owns the roadmap, sits in leadership meetings, and is accountable for the technical direction, without a full-time hire.