Revere Data is a data and analytics technology company that builds a patented industry taxonomy and supply‑chain / customer‑supplier relationship database designed to help investors and analysts trace revenue flows, assess geographic exposure, and model how macro and micro events may affect company and sector price movements[1][4].
High-Level Overview
- Mission: Revere’s offering positions itself to give investors a “competitive advantage” by providing a dynamic industry classification and relationship dataset that surfaces how dollars move through the economy and identifies supplier/customer linkages and revenue exposure[4][1].- Investment philosophy (for an investor-facing product): Revere’s product supports data‑driven, network‑aware investment analysis by enabling sector comparisons across 1,100+ industry buckets and by quantifying portfolio-level exposure to customers, suppliers and geographies[4].- Key sectors: Revere is industry‑agnostic in scope but focuses on providing cross‑sector taxonomy and relationship data used broadly by financial institutions and quantitative hedge funds[1][4].- Impact on the startup / investor ecosystem: Revere’s datasets and analytic tools have been used by major quantitative funds and buy‑side firms to augment fundamental and quant models, improving peer/sector discovery, supply‑chain risk analysis, and geopolitical revenue exposure modeling[1][4].
For product users (portfolio-company framing)
- Product: A proprietary industry taxonomy, company relationship database (customer/supplier networks), and analytics tools / data feeds for portfolio and market analysis[4][1].- Who it serves: Buy‑side investors, quant shops, asset managers and other market intelligence users[1][4].- Problem solved: Converts fragmented public and proprietary information into structured sector classifications and mapped business relationships so investors can better understand exposure, contagion risk and revenue dependencies[4][1].- Growth momentum: Revere attracted institutional customers including large quantitative funds and was significant enough to be acquired by FactSet (and later involved in litigation around IP and licensing), indicating enterprise adoption of its technology[1].
Origin Story
- Founding and evolution: Sources indicate Revere Data (sometimes referenced as Revere Data LLC or Revere) was founded in the early 2000s (around 2000–2001 in public records)[1][4].- Key people and events: Public reporting ties founder Doug Engmann (formerly head of the Pacific Stock Exchange) to Revere and documents that Revere’s technology and assets were later sold to market‑intelligence firm FactSet, which used the technology in its offerings[1].- Early traction / pivotal moments: Revere’s methodology — a patented system linking economic information, supplier/customer networks and price‑movement prediction — gained clients among large quant hedge funds (e.g., WorldQuant and Two Sigma) and ultimately led to acquisition interest; the technology’s commercial use and subsequent legal disputes over IP and licensing have been notable events in its history[1].
Core Differentiators
- Patented industry taxonomy: Revere’s classification system claims to provide a more granular and dynamic way to categorize firms and compare more than 1,100 sectors[4].- Supply‑chain / relationship mapping: A database of customer‑supplier relationships that lets users trace revenue flows and interdependencies across companies[4][1].- Institutional adoption: Evidence of use by major quantitative funds and integration into larger market‑intelligence products (FactSet) suggests enterprise‑grade utility and credibility[1].- Data + analytics product mix: Combination of raw data feeds, analytic tools and index products intended to let users both discover opportunities and operationalize exposure analyses[4].
Role in the Broader Tech Landscape
- Trend alignment: Revere sits at the intersection of alternative data, supply‑chain mapping, and sector taxonomy — trends that have grown as investors seek non‑price signals and network-aware risk tools[4][1].- Why timing matters: Increased focus on geopolitical risk, supply‑chain fragility, and quant/AI models has raised demand for structured relationship and revenue‑exposure datasets that can be integrated into systematic and fundamental workflows[1][4].- Market forces in their favor: Growth in alternative data purchasing by asset managers, regulatory and compliance needs around exposure, and rising value placed on explainable network effects boost the relevance of products like Revere’s[4].- Influence: By enabling “flow of dollars” analysis and supplier/customer dependency mapping, Revere’s approach influences how investors construct sector definitions, run contagion scenarios, and design exposure‑management tools[4][1].
Quick Take & Future Outlook
- Near term: Firms that provide mapped economic relationships and granular revenue exposure should remain in demand as investors and corporates seek to quantify supply‑chain and geopolitical risks; Revere’s prior enterprise adoption and acquisition by FactSet indicate its core ideas are commercially valuable[1][4].- Risks and signals to watch: Outcomes of historical IP disputes and how legacy technology is integrated or migrated under acquirers (e.g., FactSet) affect product availability, licensing terms and competitive positioning[1].- Long term: If continued, the convergence of alternative data, AI/ML analytics and portfolio risk management will favor providers that offer cleanly integrated relationship datasets and dynamic taxonomies; companies that maintain high data quality, transparent methodology, and defensible IP are likeliest to scale their impact on investment workflows[4][1].
Quick take: Revere Data built a niche but influential product — a patented taxonomy and company‑relationship dataset that answered growing investor demand to map economic linkages — and its commercial traction and subsequent acquisition activity underscore both the utility and the IP/legal complexities that can accompany specialized alternative‑data businesses[1][4].
Note: Available public information includes company profiles, product descriptions and press/legal reporting; specifics such as current ownership, product packaging, headcount, and up‑to‑date revenue figures vary across sources and some details are tied to litigation and acquisition disclosures[1][4].
