STRATEGIC BUYER INTELLIGENCE FOR COMPLEX TECHNOLOGY
We help AI, deep-tech, and enterprise technology companies identify, prioritize, and engage the right enterprise customers, strategic partners, licensees, and acquirers.
Our work connects technical understanding, market intelligence, buyer-specific positioning, targeted outreach, and transaction readiness in one disciplined process.
For founders, boards, investors, lenders, and corporate technology owners.
Experience includes company building, turnarounds, fundraising, technology commercialization, strategic exits, venture investing, and international transactions.
TWO HIGH-STAKES QUESTIONS
The same discipline applies whether the objective is U.S. revenue or a strategic technology transaction: identify the buyer's costly problem, the current trigger, the internal owner, and the evidence that supports action.
For companies entering or scaling in the United States, we identify high-probability enterprise accounts, buyer triggers, decision makers, partners, and a buyer-specific GTM narrative.
For owners monetizing technology, we define the transferable asset, identify acquirers and licensees with a concrete product or platform gap, and prepare the proof required for technical evaluation.
The Problem
Long target lists and generic decks do not explain why a specific company should act now, who owns the problem internally, what exactly can be bought, or why acquisition or partnership is more rational than internal development.
The buyer cannot see exactly what is transferable, mature, or commercially relevant.
Industry adjacency is mistaken for an active problem, deadline, or roadmap gap.
Outreach targets a title instead of the person who owns the product, architecture, integration, or transaction problem.
Marketing claims are not connected early enough to code, tests, documentation, architecture, or measurable business value.
Core Thesis
Buyers do not acquire technology for the technology itself. They buy faster time-to-market, a closed product gap, lower integration cost, access to capability, and reduced execution risk.
OUR METHOD
Clarify the product, code, platform, IP, customer offer, strategic objective, evidence, dependencies, and limitations.
Asset and objective map
Translate technology into a specific buyer outcome: faster launch, closed roadmap gap, lower integration cost, modernization, or reduced risk.
Build-vs.-buy thesis
Define the types of organizations with a rational reason to engage before naming companies.
Buyer archetype map
Research product launches, acquisitions, modernization programs, hiring signals, platform gaps, and active expansion.
Ranked buyer universe
Identify the product, technical, operational, partnership, or corporate-development sponsor who can move the opportunity internally.
Contact and champion map
Create buyer-specific theses, outreach, discovery, demos, proof packs, and a disciplined next-step process.
Qualified buyer pipeline
Capabilities
Build or stress-test a first-principles U.S. GTM hypothesis: ICP, buyer triggers, decision makers, target accounts, positioning, partner logic, and an execution roadmap.
Map technology assets, define buyer archetypes, identify strategic triggers, prioritize acquirers and licensees, and develop buyer-specific theses.
Prepare a technical teaser, proof pack, discovery process, buyer-specific demo, diligence workstreams, and realistic transaction options.
Differentiation
Until the product, code, capability, and limits are clear, the buyer universe is guesswork.
A neighboring company without urgency is less relevant than a buyer with a costly platform or roadmap gap.
The thesis must survive questions from product, engineering, finance, corporate development, and the board.
Clear boundaries and known issues reduce uncertainty and improve technical evaluation.
Buyer search is a live hypothesis cycle, not a static spreadsheet.
CASE STUDY
Prophecta was initially described as a broad AI platform for commercial fleet management. The buyer question was more specific: what exactly could be acquired, what was proven, which modules closed a real technology gap, and which organizations had a reason to buy rather than build?
Decomposed the platform into transferable code and architecture modules.
Separated proven capabilities from future roadmap claims.
Rebuilt the buyer universe around product gaps, modernization, integration, and build-vs.-buy signals.
OutcomeThe work created a clearer asset perimeter, a prioritized buyer universe, and a repeatable process for buyer-specific conversations and technical evaluation.
FOUNDER-LED ADVISORY
Vasily Nikolaev is a Silicon Valley founder, CEO, venture investor, and former McKinsey consultant. He has founded, scaled, turned around, and exited technology companies across AI, deep tech, enterprise software, and scientific instrumentation. His experience spans product commercialization, fundraising, strategic partnerships, cross-border M&A, and technical, market, and financial due diligence.
Who We Help
“We are most useful when the technology is strong but the buyer logic is not yet obvious.”
FAQ
Share a non-confidential summary of the technology, market, or transaction objective. We will determine whether a focused assessment is appropriate.
Please do not send source code, trade secrets, or detailed confidential architecture through the website form. An NDA can be established before deeper review.