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CEO at SaxeCap | PE x AI Transformations Pioneer | Senior Advisor to 30+ PE Funds | 2x Exited AI Founder
Bio
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Amrit Saxena is the Founder and CEO of SaxeCap, a pioneering firm at the intersection of private equity and AI transformation. SaxeCap coined the concept of AI-levered buyouts in 2019 and has since become the go-to AI partner for over 40 private equity funds, including 7 of the top 10 globally. Amrit has led AI transformations at more than 100 companies, driving billions in enterprise value across industries.
He’s a two-time exited AI founder—having built and sold Stella.ai, a talent intelligence platform acquired in a $1B+ PE deal, and Fancy That, a retail AI company acquired by Palantir. Amrit previously led AI product efforts at Palantir and worked in strategy and data science roles at Bain, Groupon, AmEx, and Stanford’s AI Lab. He holds 7 patents in AI, optimization, and workforce technologies.
Amrit is also an active investor, having backed early-stage companies including OpenAI, Anthropic, SpaceX, Neuralink, and Groq. He has invested alongside or before leading firms such as Sequoia, a16z, Founders Fund, and Benchmark.
A Stanford triple alum, Amrit holds a B.S. in Computer Science (AI), an M.S. in Management Science & Engineering, and an MBA from the Graduate School of Business. He’s a Congressional Gold Medalist, U.S. Math Olympiad finalist, and winner of the AMC and Physics Olympiad honors.
Expertise and Skills
Offerings
This is SaxeCap’s pre-close support offering, which functions as a standalone product or as the first phase of a larger engagement.
Key Features:
- AI Opportunity & Risk Assessment: Analyze the target’s business model for AI disruptibility (e.g., cost-plus pricing, labor-heavy models) and identify automation threats or opportunities.
- Proprietary Data Asset Review: Evaluate overlooked or underutilized data that could power new products or monetization strategies.
- Return Modeling: Build custom financial models estimating how AI could affect EBITDA, revenue, and long-term enterprise value.
- Dataroom + Management Input Integration: Based on a combination of dataroom analysis, leadership interviews, and proprietary checklists from 100+ transformations.
Outcome:
A clear, investor-grade AI underwriting report that guides deal teams, informs IC discussions, and shapes 100-day plans.
This is the core post-close offering: an end-to-end transformation program that moves from roadmap to working systems fast.
Key Features:
- 60-Day First Value Launch
Initial solution deployed and showing real EBITDA uplift within 2 months. - 3-Phase Delivery Model
- Diagnostic: Audit workflows, systems, and data; identify 30–50 feasible AI initiatives.
- Prioritization: Select top 5–10 low-risk, high-ROI use cases.
- Execution: Deploy SaxeCap's engineering and data science team to build, integrate, and train.
- Plug-and-Play AI Systems
Uses SaxeCap's proprietary tools (e.g. labor optimization engine, knowledge work automators) when applicable. - Flexible Handoff Options
Can train internal teams, provide ongoing support, or own system maintenance if no internal capability exists.
Outcome:
Tangible cost savings or new revenue generation, often leading to 10–300%+ EBITDA expansion, depending on company size and baseline efficiency.
Representative Clients or Customers
Testimonials