Institutional valuation, democratized.
Business valuation has traditionally been an expensive, slow, opaque process — reserved for companies with deep pockets. Advisory firms charge $3,000 – $50,000+ and take weeks to deliver.
Value Alpha was built to change that. Every business owner, advisor, and investor deserves the same caliber of analysis used by investment banks and private equity firms — without the price tag or the wait.
10+ institutional engines — including DCF, comps, precedents, asset floor, scenario, Monte Carlo, Biotech SOTP, MedTech Market Model, and proprietary algorithms — across 210 industries. AI that calibrates to your sector. Comprehensive reports in minutes. And a single primitive — the VA Range™ — that makes every number defensible.
Built by someone who's done this for real.
Tomasz Felpel
Columbia Executive MBA graduate with close to a decade of corporate development experience at Fortune 500 companies. Built Value Alpha to give every business owner access to the same valuation quality used by institutional investors, PE, ETA, and investment banks — at a fraction of the cost and time.
Why we built Value Alpha.
Coming out of $26.2B in M&A at DuPont and IFF, Tomasz turned the institutional toolkit on the market he watched get ignored — built AI-native from day one, not a consulting firm with a chatbot.
Built AI-native from day one.
Value Alpha is not a valuation firm retrofitting an LLM layer onto a consulting workflow. The data, methodology, audit, and inference stack were designed together. Eleven institutional valuation engines run server-authoritative on every target — not client-side calculators that can be tampered with or disputed. VARI, our proprietary 0–100 cross-method confidence score, is a defensible IP layer competitors cannot replicate without rebuilding the underlying data architecture.
Every engine output is sourced, signed, and traceable — no client-side spreadsheet manipulation.
33,500+ public comparables and 19,500+ M&A deals — the comp depth CapitalIQ and PitchBook do not cleanly carry at lower-middle-market sizes.
VARI scoring, sector classification, comp matching, and engine blending all run as inference — not handcrafted rules.
The rigor behind the range.
Valuation isn't a feature set — it's a discipline. Here's the background driving every decision in the platform.
Corporate Development & M&A
Close to a decade at Fortune 500 companies, working on $26B+ in transactions. Real M&A experience building valuation models for billion-dollar deals.
Valuation & Financial Modeling
Columbia Executive MBA with deep training in valuation, corporate finance, and M&A strategy. The same frameworks taught at top business schools.
AI & Technology
Built the platform from the ground up — combining machine learning, data pipelines, and scalable infrastructure to automate institutional-grade valuation.
Private Markets
Founder of Felpel Ventures. Deep understanding of private company dynamics, what investors look for, and how to build defensible valuations.
Our principles
Transparency
Every assumption is documented. No black boxes. You see exactly how your valuation is calculated.
Rigor
We use the same methodologies taught at top business schools and practiced by investment banks.
Accessibility
Professional-grade analysis shouldn't require a finance degree or a $50,000 budget.
Honesty
Valuations are always ranges, never single numbers. We show you the bear, base, and bull cases.
Run your first valuation.
Traditional firms charge $3k–$50k for this. Value Alpha:. Same methodology. 5 minutes.
Reach out at hello@valuealpha.ai