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Forensic Alpha
Forensic Alpha generates forensic reports using machine intelligence for the financial sector.
Forensic Alpha
Forensic Alpha generates forensic reports using machine intelligence for the financial sector. Its offerings include automated risk assessment and red flag identification for portfolio managers, focusing on financial statements and governance disclosures. The company serves institutional investors and asset management firms, founded in 2014 in London, United Kingdom.
General information
Firm type
Generalist
Year founded
—
AUM
Undisclosed
Location
Region
Europe
Country
United Kingdom
City
London
Corporate office
Level 39, One Canada Square, Canary Wharf, London E14 5AB
Additional offices
12 East 49th Street, New York, NY 10017, USA
Principals
Tom Beevers
CEO and Co-founder
Sandeep Bathina
President and Co-founder
Thomas Balk
Co-founder
Sector focus
Frequently asked questions
Who runs investment decisions at Forensic Alpha?
Forensic Alpha is not an investment firm; it operates as a technology and research provider. The platform is overseen by CEO and co-founder Tom Beevers, a former fund manager at Newton Investment Management, alongside President and co-founder Sandeep Bathina and co-founder Thomas Balk. Client portfolio managers retain full discretion over buy and sell decisions, using the firm's red-flag outputs as one input into their process.
How does Forensic Alpha source the financial data that feeds its models?
The platform draws directly from public regulatory filings — annual reports, 10-Ks, proxy statements and similar corporate disclosures. Its machine-learning models extract structured data points from footnotes, schedules and management discussion sections, then benchmark them against the firm's proprietary archive of historical and peer-group filings. No third-party aggregator data is used as the primary source.
Is Forensic Alpha a family office, a venture firm, or a technology company?
Forensic Alpha is structured as an asset-manager-service provider rather than a capital allocator. It sells its forensic-research platform as a SaaS product to institutional investors. Early-stage venture investors including Fuel Ventures, Better Capital and Craigie Capital backed the company, but it does not make direct investments or manage outside capital.
Does the platform cover private companies or only publicly listed equities?
The system is built for publicly listed companies whose disclosures are subject to standardized filing requirements. Private companies that do not file public annual reports or 10-Ks fall outside its coverage universe. Forensic Alpha's red-flag library is calibrated against data available in public financial statements and governance filings.
Which sectors or geographies does Forensic Alpha explicitly avoid?
The firm does not publicly list exclusions by sector or geography, but its reliance on machine-readable, standardized filings means markets with less structured disclosure regimes are unlikely to appear. Its New York and London offices suggest a primary focus on North American and European listed equities, where filings arrive in a format the models can ingest consistently.
How are Forensic Alpha's red flags weighted and aggregated into the final risk score?
The platform compiles 35 individual red-flag indicators across accounting, governance and earnings-quality categories. Each flag is accompanied by the underlying data and a short narrative; the full set rolls into a composite risk score. Forensic Alpha has not disclosed the precise weighting methodology, but the score is designed to let managers rank and screen an entire coverage universe uniformly.
Does Forensic Alpha maintain any philanthropic or affiliated investment vehicles?
No philanthropic foundation or affiliated investment vehicle has been disclosed. The firm's known network includes membership in the Level39 fintech community in Canary Wharf and early backing from institutional seed investors, but no operating foundations or donor-advised funds have been associated with the company.
Profile maintained by Altss using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.
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