AI-native compliance for the firms the SEC and FINRA watch most closely.
Compliance is the part of finance nobody volunteers for: a thicket of archiving rules, e-communications surveillance, marketing sign-offs and books-and-records obligations enforced by the SEC and FINRA. Greenboard is a New York software company betting that artificial intelligence - kept firmly under human supervision - can turn that thicket into something a 27-person startup can automate, and that regulated firms will pay to stop stitching together the tools they have quietly hated for a decade.
Greenboard sells a unified, cloud-based platform to firms regulated by the U.S. Securities and Exchange Commission and the Financial Industry Regulatory Authority. Instead of running separate vendors for archiving, surveillance, marketing review and vendor diligence, a firm runs those workflows inside one system where the tasks and the records sit together.
The company calls itself "the next generation AI-native system of action for SEC and FINRA compliance." The architecture is built to satisfy the rules that make this market hard: WORM-based storage (write once, read many), SEC Rule 17a-4 recordkeeping, and SOC 2 Type 2 security controls. The result is meant to be exam-ready - the records a regulator asks for are already in order.
On top of that foundation sits GreenboardGo, a conversational AI layer that reads a firm's own compliance books and records. It answers employee questions on the spot, routes the decisions that need judgment to the right compliance expert, and drafts routine tasks for a human to review and sign off. The company is careful to describe it as AI built into the workflow rather than a chatbot bolted on top.
The pitch to a chief compliance officer is consolidation. Greenboard reports that 88% of its customers eliminate multiple legacy compliance tools after switching, and that it retains more than 99% of them - the kind of numbers that suggest a product replacing a stack rather than competing for a slot in it.
"There are all these very specific compliance requirements around books and records that you're not going to be able to vibe code."
Connects archiving, firm compliance, employee compliance, marketing compliance and third-party diligence into one recordkeeping system built on WORM-based, 17a-4 compliant, SOC 2 Type 2 architecture.
A conversational, AI-native assistant over a firm's compliance records that answers questions instantly, routes decisions to the right expert, and prepares tasks for human sign-off.
AI-driven archiving and supervision of e-communications - credited with a 99.14% reduction in false positives, cutting the alert noise that buries compliance teams.
Automated review of marketing content with an average 7-second turnaround, replacing multi-day manual sign-off cycles.
Know-Your-Employee monitoring, trade screening and firm-wide program management in a single view.
Automated vendor and third-party diligence workflows, so outside relationships are tracked with the same rigor as internal ones.
Figures above are reported by Greenboard and its customers; independent verification is limited. Treat as approximate.
Greenboard's customers are the firms that live under SEC and FINRA oversight: registered investment advisers (RIAs), broker-dealers, hedge funds, private funds, individual financial advisors, and the compliance service providers who support them. More than 500 institutions use the platform.
The problem it attacks is fragmentation and manual drudgery. Most firms assemble compliance from several aging point solutions, then throw people at the gaps - reviewing marketing line by line, chasing down attestations, wading through surveillance alerts that are mostly noise. That work is slow, expensive, and easy to get wrong in a way that shows up at exam time.
Where it differs from both the legacy incumbents and the wave of newer AI startups (Y Combinator-backed Delve among them) is its "expert-in-the-loop" stance. Greenboard lets AI do the routine work but keeps a compliance professional accountable for the output. In a domain where a hallucinated answer can fail a regulatory exam, the company treats the human sign-off as a feature, not a limitation - which is also the practical reading of Feldman's line about books-and-records you can't "vibe code."
The other differentiator is scope. Rather than owning one workflow, Greenboard aims to be the operating system for the whole compliance function - the reason so many customers report retiring several tools at once when they adopt it.
"Helps us detect risk and automate more than previously possible."
"Advisors love Greenboard."
"Completely transformed our workflow."
Former team lead at Amazon and Hive AI; earlier a senior PM at 401(k) platform Guideline. The 2022 launch of ChatGPT prompted his search for AI's place in compliance.
Also an Amazon and Hive AI alum. He and Feldman met as freshman engineering students at Johns Hopkins and have known each other more than ten years.
Greenboard is a B2B SaaS company: firms pay a subscription to run their compliance program on the platform, typically displacing several licensed tools in the process. Its vision, stated since the seed round, is broader than compliance alone - an "all-in-one operating system for the financial back office," starting with the workflows regulators scrutinize most.
That places it in regtech, a corner of fintech built on the reality that regulation does not go away and firms would rather automate it than staff it. The market has real moats: the recordkeeping and archiving requirements are specific enough that generic AI tools can't simply absorb them, which is the durability Feldman points to. It is also crowded with legacy vendors and, increasingly, AI-native challengers - so distribution and trust, not just model quality, decide winners.
| Round | Amount | Date | Lead & notable investors |
|---|---|---|---|
| Series A | $15.5M | May 2026 | Base10 Partners (lead); Y Combinator, General Catalyst, Commerce Ventures, Transpose Platform, Liquid2 Ventures, Kulveer Taggar |
| Seed | $4.5M | May 2024 | Base10 Partners (lead); Y Combinator, General Catalyst, Wayfinder Ventures, Liquid2 Ventures, Twenty Two Ventures, Rogue Capital, Transpose Platform |
Total funding: $20M. Company participated in Y Combinator's Winter 2024 batch.
Dave Feldman and Ed Schembor start the company in New York to modernize financial compliance software.
The company joins YC's Winter 2024 batch and raises a seed round led by Base10 Partners.
Modules broaden; Feldman is featured on RIA Channel discussing modernized compliance for RIAs.
A Series A brings total funding to $20M, the platform passes 500 customers, and the GreenboardGo AI layer launches.
It provides an AI-native compliance platform that consolidates archiving, supervision, marketing review, employee and firm compliance, and vendor diligence for SEC- and FINRA-regulated financial firms.
Founded in 2023 by Dave Feldman (CEO) and Ed Schembor (CTO), who met as engineering students at Johns Hopkins and previously worked at Amazon and Hive AI.
$20M total: a $4.5M seed in 2024 and a $15.5M Series A in 2026, both led by Base10 Partners with backing from Y Combinator and General Catalyst.
A conversational AI layer built on a firm's compliance records that answers questions, routes decisions to the right expert, and prepares tasks for human sign-off.
More than 500 financial institutions, including RIAs, broker-dealers, hedge funds, private funds and financial advisors.
Profile compiled from public sources, July 2026. Metrics are company-reported and approximate where noted.