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Modern OS for the financial back office.
Greenboard is building a singular, AI-powered platform to handle management of the entirety of financial firms’ compliance programs, and eventually all back office processes. Today, financial institutions use Greenboard to detect risk using AI and to rip out and replace the bad legacy back office tooling they have wanted to get rid of for years. Greenboard's mission is to enable financial institutions to operate their back office teams at a higher standard, with half of the headcount. We’re starting with compliance
Greenboard is a unified, AI-native compliance platform designed for SEC and FINRA requirements, enabling financial firms to run their entire compliance program from a single system. It connects multiple compliance workflows (archive, employee, marketing, firm, and third-party compliance) and emphasizes automation and enterprise-grade security. The product aims to reduce manual effort, improve auditability, and consolidate tools for regulated financial institutions.
Greenboard provides a single platform that unifies archiving, firm compliance, employee compliance, marketing compliance, and third-party compliance into one system with unified tasks and records. It features AI-native automation embedded in workflows (GreenboardGo) to automate compliance processes, a WORM-based, 17a-4 compliant architecture for out-of-the-box exam readiness, and enterprise-grade security and privacy (SOC 2 Type II). The system emphasizes ease of use, reducing friction, faster marketing reviews, and scalable supervision and oversight across regulated financial services environments.
Who it’s for: Financial institutions and teams requiring SEC/FINRA compliance, including financial advisors, private funds, hedge funds, broker-dealers, and RIAs, particularly those seeking an integrated, automated, enterprise-grade compliance solution.
Customers: Root Financial, JMG Financial Group, FSG/ICA
Funding raised ($20M) and publicly promoted product platform; multiple customer logos cited; emphasis on enterprise-scale deployment and security.
Prior to founding Greenboard, Dave worked in Product at Guideline, where he led teams that built core systems including Guideline’s financial recordkeeping engine. Before that, Dave led Hive AI’s joint venture with Bain & Company. Dave holds a BS in Chemical and Biomolecular Engineering and an MS in Computer Science from Johns Hopkins University. In his spare time, Dave is an avid outdoorsman who enjoys hiking, sailing, and downhill skiing.
Amazon🎓 Johns Hopkins UniversityBefore Greenboard, Ed led Product for Amazon's search navigation experience and worked on the founding Amazon Fashion catalog team. Before that, Ed worked as an engineer scaling Amazon's email-based product recommendation systems and on the internal machine learning team that eventually went on to become AWS Sagemaker. Ed holds a BS in Computer Science from Johns Hopkins University. Outside of work, Ed boulders and explores the NYC food scene.
Fintechs, private funds, and wealth managers use Greenboard to consolidate compliance software and detect risk using AI
Greenboard consolidates financial compliance software onto a single platform for fintechs, RIAs, private funds, and wealth managers, using AI to detect risk and improve compliance efficiency. The launch presents a unified solution to aggregate data, reduce cost, and accelerate risk detection.
From the original launch (Feb 2024) — may be outdated.
AI compliance co-pilot for regulated financial businesses
AI agents for financial compliance (AML, KYC and Sanctions)
