Anyone can show you what AI can do.
Few can tell you what it should do.
We help executives and investors make consequential AI decisions that stand up in the boardroom, architecture review, and production environment.
Bring us your toughest challenge.
Start the ConversationThe challenge is no longer finding AI possibilities.
It is knowing which ones deserve your capital, attention, and trust.
Who We Help
Many different decisions, the same need for clarity.
Executives
Build an AI direction worth executing.
AI strategy · AI transformation · Technology and operational models · Fractional AI leadership
You don’t need another list of AI use cases. You need to know where AI can materially change your business and what has to change in your technology, organization, and operating model to capture that opportunity.
Investors
Know what you're actually underwriting.
Technical due diligence · AI investment assessment · Portfolio value creation
AI can strengthen an investment thesis or disguise its weaknesses. We examine the technology behind the narrative: differentiation, production maturity, scalability, economics, technical debt, dependencies, and execution readiness.
How We Help
Independent judgment wherever AI shapes the outcome.
Lead
Turn AI ambition into direction and ownership.
Fractional AI leadership for organizations that need senior judgment without building the role prematurely.
Reimagine
Find what's possible and worth building.
Exploration of AI opportunities hiding in your products, workflows, and business models, validated before you commit resources.
Evaluate
Build a critical edge for AI decisions.
Independent assessment when the cost of getting the technology wrong is material.
Our Proof
Judgment is only useful when it changes the outcome.
~20% Transaction value protected
Technical diligence helped an investor identify overstated AI capabilities and avoid paying for differentiation that wasn’t there.
Millions in monthly cloud savings identified
A redesign of cloud billing workflows uncovered material operational value beyond the obvious AI use cases.
One platform direction from fragmented AI initiatives
Multiple edge-AI efforts were brought into a unified platform strategy and execution roadmap.
Selected outcomes from prior advisory and operating work. Details are limited by client confidentiality.
Executive Introduction
Built and operated by people who have made these decisions themselves and can talk to your engineers and your board in the same conversations.
Melania Calinescu, PhD
AI operator · Enterprise strategist · Technical diligence advisor
Helps executives and investors decide where AI should and shouldn’t shape the business. Built production AI. Led enterprise AI strategy. Evaluated technology in M&A. Advised executives, boards, and investors.
Ayanna Wade, PhD
Applied AI leader · Product strategist · ML systems builder
Turns ambitious AI ideas into products and systems that perform at scale. Has led multidisciplinary AI organizations and advised executive leaders. Scaled production machine-learning systems. Built mission-critical, revenue-generating AI products. Connected technical decisions with product strategy and business outcomes.