Trehan AI — Applied AI Advisory

What we do

Work

Three distinct engagements — each grounded in the same foundation: rigorous applied mathematics, genuine domain knowledge, and independent analysis built from first principles.

Investment Intelligence

We evaluate the actual models, methods, and technical architecture — delivering a precise, unbiased view of what a company has built, what it can scale, and where the real risks are.

Independent technical due diligence on AI companies. Landscape analysis across verticals. Investment thesis development and portfolio company assessments.

Family Offices · Venture Funds · Growth Equity

Applied AI Advisory

For founders and entrepreneurs building AI into the core of what they do. We work directly with technical and executive teams — defining strategy, stress-testing approaches, and moving fast without costly detours.

Tailored to your specific problem. Well beyond off-the-shelf integrations — the underlying systems that give your product a durable technical edge.

Founders · Entrepreneurs · Early-Stage Companies

Decision Systems

Full-stack AI development — from mathematical formulation through deployed, production-grade systems. For organizations that bring domain expertise and want specialized AI depth to build something defensible and scalable.

Quantitative modeling · probabilistic systems · ML pipelines · real-time inference · data architecture · validation frameworks.

Health · Finance · Insurance · Industrial · Defense · Climate

Our approach

Built differently.

Bridging the widening gap between complex AI systems and executive decisions.

First-Principles
Depth Our work is grounded in Applied AI research, rooted in applied and computational mathematics. We understand the mechanics of what we build — the models, the assumptions, the failure modes — and that depth shapes every recommendation and every system we deliver.
INDEPENDENT
JUDGEMENT Our recommendations are ours. Unaffiliated with any vendor or platform, our analysis is built on what is genuinely correct for your context — nothing else.
CLEAR
ACROSS THE TABLE The gap between complex AI systems and executive decisions is real and widening. We bridge the gap — translating technical depth into the precise, actionable language that boards, investors, and leadership teams use to move.
Long-Term
Relationship We are invested in your success — fully and genuinely. Whether you are buying, building, or selling — wherever you find yourself on the journey, you will find us there with you. Relationships first, always.

Industries

Where we work

The same rigorous foundations applied across the industries where AI decisions carry the most consequence.

Health & Life SciencesClinical AI, RWE, pharmaceutical modeling

Financial ServicesQuantitative research, risk, systematic strategy

Insurance & RiskPricing models, fraud, actuarial AI

Industrial & IoTPredictive systems, sensor modeling, operations

Defense & GovernmentDecision support, intelligence, logistics

Climate & EnergyGrid optimization, forecasting, policy modeling

Legal & ComplianceAI audit, explainability, regulatory defense

Early-Stage TechnologyAI architecture, technical due diligence, R&D

The team

Two applied mathematicians.
One firm.

A rare combination: research-grade technical depth and the fluency to translate it for the people who make decisions.

D.T.

Damini Trehan — Co-founder

Managing Principal

Leads client relationships, investment advisory, and strategic engagements. Background in applied mathematics, machine learning, and statistical inference — with research focused on decision systems and clinical AI.

Prior experience includes institutional investment and actuarial consulting, and early-stage data science leadership. Currently works with investors on AI company due diligence and partners with founders on AI strategy and architecture.

PhD Candidate · Computational & Data ScienceBS Applied Mathematics · UCLA

LinkedIn →

R.T.

Ritwik Trehan — Co-founder

Principal, AI Systems

Applied mathematician and engineer. Leads technical architecture, systems design, and computational delivery — bringing a first-principles approach to AI systems that are mathematically sound and production-ready.

Published researcher in mathematics. Background spans AI consulting, full-stack development, and bridging complex technical systems through to business execution across research, engineering, and product.

BS Mathematics & Physics · UC Santa Barbara

LinkedIn →

Work with us

Every engagement starts with a conversation.

We build long-term partnerships — collaborative, fully invested, and oriented around your goals. Wherever you are on the journey, we are here.

Investment Intelligence Applied AI Advisory Decision Systems

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Rigorous AI for decisions that matter.