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// APPLIED AI RESEARCH + CONSULTING LAB
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Transfrm Labs is an applied AI research and consulting lab.
Most AI systems work in demos. They break in production.
I help teams close that gap: proper architecture, real evaluation systems, and infrastructure that survives actual traffic.
Not theory. Not decks. Systems that ship.
Explore evalOS
// Currently booking Q2 2026. Limited availability.
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// SIGNAL_LOG: Trusted by teams who ship:
// From Fortune 500 to Series A. The common thread: they needed it to work, not just demo.
// WHAT_I_DO: Three things. Done well.
/ 01
Production Architecture
Most teams ship the demo and call it done. Then production happens.
I Build Systems That Survive Real Traffic:
→RAG pipelines that don't hallucinate at scale
→Vector databases handling actual QPS, not benchmarks
→Evaluation loops that catch failures before users do
→Infrastructure your on-call won't curse at 3am
Why this matters: The gap between "works locally" and "works at scale" is where most AI projects die. I've shipped LLM systems since GPT-3. I know what breaks.
// Pro tip: If you can't measure it, you can't improve it. Evals first, features second.
/ 02
Technical Due Diligence
Most AI moats are demos with positive lighting. I find the real ones.
For investors and acquirers who want to know what's actually under the hood:
→Architecture reviews beyond "they're using GPT-4"
→Team assessment: can they ship, or just prototype?
→Technical debt mapping before it becomes your debt
→The questions founders hope you won't ask
Why this matters: Bad diligence means you inherit someone else's mistakes. I've done this for funds deploying real capital. I know what to look for.
// Caveat: I'll tell you what I find, not what you want to hear.
/ 03
Fractional AI Leadership
You need senior technical direction. You d
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