Research Consulting
The same methodology that produced a corpus of two thousand papers — applied to your problem. Delivered in days, not months.
Engagement Types
Hedge Funds & Asset Managers
Deep-dive research that informs conviction on positions.
- Technology assessment for public equities
- Sector-level regulatory analysis
- Scientific due diligence on biotech/deep-tech
- Competitive landscape mapping
Family Offices
Rigorous answers to idiosyncratic questions.
- Emerging technology investment thesis validation
- Philanthropic strategy research
- Cross-domain synthesis (connect disparate fields)
- Scenario planning with quantified uncertainty
Corporate Strategy
Intelligence that moves faster than your competitors.
- Market analysis with adversarial review
- Technology readiness assessment
- M&A target research and due diligence
- Ongoing retainer with named deliverables
Law Firms
Technical depth that holds up under cross-examination.
- Patent invalidity / prior art research
- Antitrust economic analysis
- Securities litigation research
- Expert report preparation support
Academic Research
Accelerate programs that are bottlenecked on generation.
- Literature review at comprehensive scale
- Hypothesis generation across adjacent fields
- Formal verification of mathematical arguments
- Conceptual engineering for load-bearing definitions
Government & Policy
Research for decisions that affect millions.
- Technology impact assessment
- Policy analysis with adversarial scenarios
- Regulatory framework design research
- Cross-agency knowledge synthesis
How It Works
What Makes This Different
Speed without sacrifice. Operator-scaffold coupling produces research at 10–100× academic pace. The speed comes from the scaffold's ability to enumerate and explore faster than any human. The rigor comes from the operator's ability to recognize and kill nonsense.
Honest uncertainty. Every claim is tagged with a verification tier. We tell you what we're confident about, what's likely but unverified, and what's speculative. No consultancy-grade false confidence.
Cross-domain synthesis. The same operator has produced research across mathematics, philosophy, AI, law, medicine, physics, and more. Pattern recognition across domains is the method's core advantage.
The operator matters. Kevin Scharp has spent twenty years on conceptual engineering — the discipline of finding and fixing broken concepts. This is what makes the coupling work: not just domain knowledge, but the specific skill of recognizing when a concept is doing multiple jobs badly.
Start a conversation
Describe your research problem. We'll tell you if we can help and what it would cost.
kscharp@gmail.com