FinRegLab
- Company typePrivate
- Founded2018
- HeadquartersWashington, United States
- Headcount1–10
- GTM typeB2B
- OfferingServices
FinRegLab firmographics
Firmographics- Name
- FinRegLab
- Legal name
- FinRegLab
- Website
- https://finreglab.org
- Company type
- Private
- Founded year
- 2018
- Operating status
- Operating
- Headcount range
- 1–10 employees
- Ownership category
- akta.pro rank
FinRegLab industry classification
Industry- Product category
- Financial Services Policy Research
- NAICS
- Activities Related to Credit Intermediation (5223)
- SIC
- Finance Services (6199)
- akta.pro primary industry
- Alternative Data & Credit Scoring (Cashflow, Telco, Utility, Open Banking) (FSAGAHAC)
- akta.pro secondary industries
- SME Credit Risk, Underwriting & Financial Data (B2B Fintech Data/Decisioning) (FSAGAJAM), Transaction Analytics & Cash-Flow Insights (risk signals, forecasting) (FSAGACAG)
Keywords
Where FinRegLab is headquartered
LocationHeadquarters
- HQ city
- Washington
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
FinRegLab business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Operations, Technology or R&D, Marketing or Sales, Others
Revenue model
- Foundation Grants and Donations: As a U.S. 501(c)(3) nonprofit organization, FinRegLab is funded through grants and donations from foundations and corporate sponsors. Major funders include Flourish Ventures, Mastercard Center for Inclusive Growth, and JPMorgan Chase & Co.
Distribution channels2 records
Marketing channels7 records
FinRegLab product offering
Product offeringCore offering
FinRegLab is a nonprofit innovation center that conducts empirical research and experiments with new technologies and data to inform public policy and drive the financial sector toward a responsible and inclusive marketplace. Its core offerings are research publications, policy analysis, the annual AI Symposium, podcasts, and formal testimony and comment letters to regulators, focused on AI and machine learning in financial services, alternative data in credit underwriting, and innovations in small business financial services.
Product overview
FinRegLab is a nonprofit innovation center that operates as a research and policy organization rather than a commercial product company. Its offerings consist of empirical research publications, annual conferences (AI Symposium), podcasts featuring industry discussions, policy testimony and comment letters to regulators, and time-limited research initiatives. Core research areas include machine learning explainability and fairness in credit underwriting, cash-flow data applications for credit access, alternative data in credit underwriting, and innovations in small business financial services. The organization collaborates with academic researchers (Stanford Graduate School of Business) and various technology companies for research projects but does not offer commercial software products.
Differentiator
Problem solved
Functional benefit
Products and services
- Research Publications Empirical research reports, white papers, and policy analyses on AI/ML in financial services, cash-flow data in credit underwriting, alternative data, and financial inclusion, made available for free download from the FinRegLab website.
- AI Symposium Annual conference bringing together leaders from government, industry, civil society, and academia to explore opportunities and challenges posed by AI/ML deployment, with a focus on financial services and healthcare.
- Podcasts Audio discussions featuring industry leaders, regulators, and researchers on AI underwriting, fairness in ML models, explainability, and financial innovation, distributed on SoundCloud, YouTube, and the FinRegLab website.
- Testimony & Comment Letters Policy submissions to federal agencies including the U.S. Treasury, CFPB, and OCC, and formal testimony to Congressional committees on AI adoption, data privacy, and regulatory frameworks for financial services technology.
- Machine Learning Underwriting Model Evaluation Ground-breaking empirical evaluation of emerging market practices to improve transparency and fairness of machine learning underwriting models in consumer credit, conducted in collaboration with Stanford Graduate School of Business researchers.
- Cash Flow Data Research Empirical studies analyzing how bank transaction and cash-flow data can improve credit access for consumers and small businesses who may lack traditional credit history, including lender collaborations and small business financial health measurement.
Quantifiable outcome
- Research found cash flow data predictiveness was generally at least as strong as traditional credit scores and credit bureau attributes
- +3 more outcomes
Companies that use FinRegLab
Customer profileSegments4 records
Ideal customer profiles4 records
FinRegLab technology and API
TechnologyTechnology focussed No
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
AI capability4 records
Feature3 records
FinRegLab partnerships and signals
Strategic signalPartnerships
Seven partnerships are on record, tiered flagship and core.
- Office of the Comptroller of the Currency (OCC)flagshipFinRegLab was invited by OCC to co-chair a new Technology Working Group within the OCC's Project REACh initiative, focusing on evaluating inclusion impacts of technology and data on financial services.
- U.S. Department of CommerceflagshipPartnered with U.S. Department of Commerce to co-host the 'Artificial Intelligence and the Economy: Charting a Path for Responsible and Inclusive AI' symposium in April 2022.
- National Institute of Standards and Technology (NIST)flagshipCo-hosted the AI symposium with NIST to explore opportunities and challenges posed by AI and ML deployment across economic sectors, focusing on financial services and healthcare.
- Stanford Institute for Human-Centered Artificial Intelligence (HAI)flagshipCo-hosted the AI symposium with Stanford HAI to bring together government, industry, civil society, and academia to discuss responsible AI deployment.
- Stanford Graduate School of BusinesscoreFinRegLab collaborates with researchers from Stanford Graduate School of Business, specifically Professors Laura Blattner and Jann Spiess, on empirical research evaluating the explainability and fairness of machine learning for credit underwriting. The partnership includes an Advisory Board with 30+ institutions.
- Urban InstitutecorePartnered with Urban Institute to examine available research, historical and recent initiatives to increase data access and use for credit underwriting, including utility, telecom, and rental payment history analysis.
- National Foundation for Credit Counseling (NFCC)coreCollaborated with NFCC and researchers at Charles River Associates and The Ohio State University to evaluate innovations helping distressed borrowers recover from pandemic and financial shocks.
Scale indicators5 records
Recent moves6 records
Expansion highlights6 records
FinRegLab competitors and assessment
Company assessmentMarket position
Competitive moat5 records
Key highlights6 records
Customer concentration
FinRegLab social profiles
Digital presenceFinRegLab financial estimates
Financial estimateRevenue estimate
Valuation estimate
FinRegLab leadership team
Management profileNumber of profiles
Profiles4 records
FinRegLab funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
FinRegLab M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about FinRegLab
What does FinRegLab do?
FinRegLab is a nonprofit innovation center that conducts empirical research and experiments with new technologies and data to inform public policy and drive the financial sector toward a responsible and inclusive marketplace. Its core offerings are research publications, policy analysis, the annual AI Symposium, podcasts, and formal testimony and comment letters to regulators, focused on AI and machine learning in financial services, alternative data in credit underwriting, and innovations in small business financial services.
Is FinRegLab a public or private company?
FinRegLab is a private company. It is classified as nonprofit foundation owned and is currently operating.
When was FinRegLab founded?
FinRegLab was founded in 2018. It employs 1 to 10 people.
Where is FinRegLab based?
FinRegLab is headquartered in Washington, United States, in the North America region.
How does FinRegLab make money?
One revenue line is on record: foundation Grants and Donations.
Does FinRegLab have an API?
No public API is recorded for FinRegLab.
What industry is FinRegLab in?
FinRegLab's product category is Financial Services Policy Research. Its primary akta.pro industry code is FSAGAHAC, Alternative Data & Credit Scoring (Cashflow, Telco, Utility, Open Banking), with a secondary code of FSAGAJAM, SME Credit Risk, Underwriting & Financial Data (B2B Fintech Data/Decisioning). Its NAICS code is 5223 and its SIC code is 6199.