Greenboard

One-liner — An AI-native compliance platform for SEC/FINRA-regulated firms that unifies 17a-4 communications archiving and supervision with marketing review, employee attestations and firm/third-party compliance — plus GreenboardGo, a chat layer over the firm’s own books and records.

What it does

Greenboard sells one platform to replace the four or five legacy tools a compliance team typically runs. Modules (vendor site, 2026-08-18):

• Communications Archive — capture, 17a-4 / WORM-compliant retention, and AI supervision across email, Slack & Teams, SMS and iMessage, marketing platforms and Instant Bloomberg, with search/retrieval for forensic and eDiscovery use.
• Employee Compliance — attestations, certifications, personal-conduct oversight.
• Marketing Compliance — review and approval workflow (SEC Marketing Rule), vendor-claimed 7-second average turnaround.
• Firm Compliance — the firm-level program: tasks, calendar, books and records.
• Third Party Compliance — vendor/service-provider oversight.
• GreenboardGo — a conversational, policy-grounded AI layer over the firm’s own compliance record: answers employee questions from firm policy, chases attestations automatically, routes judgment calls to compliance staff, and stages tasks for human approval. The vendor’s framing is explicitly “not a chatbot layered on old tools.”

The distribution angle worth noting: Greenboard is listed in Schwab Advisor Services’ provider-solutions directory, the main custodian channel into the US RIA market.

Where it sits in the stack

• Primary category: comms-surveillance (governance layer); also relevant to enterprise-grc.
• Detective control. It reviews the record after the fact; it does not sit inline and block anything. Preventing data from reaching a chatbot is dlp / ai-access-governance.
• Scope-boundary note: the category page separates capture/archival from surveillance/analysis. Greenboard, like hadrius, does both — it is the archive and the supervision layer, which is the point for a small compliance team and a migration problem for a firm with an entrenched archive.
• Note the direction of AI here: GreenboardGo applies AI to the compliance program (answering “can I accept this gift?”, chasing attestations). As of 2026-08-18 it does not appear to capture employees’ own AI-assistant conversations as a surveilled channel — see Open questions.

Positioning & differentiators

• vs hadrius — the closest comparable: both YC, both founded 2023, both NYC, near-identical buyer and module map. Differences today: Hadrius ships ChatGPT/Claude conversation archiving, which Greenboard’s channel list omits; Hadrius is larger and better funded (80 staff / $27M vs 26 / $20M per YC and vendor, 2026-08-18). Greenboard leans harder on the conversational front-end for every employee (GreenboardGo, “make everyone a compliance champion”) and on Instant Bloomberg among its channels — a genuinely buy-side-relevant capture point Hadrius does not advertise. Expect these two to be shortlisted together.
• vs behavox, nice-actimize, shield — enterprise conduct/market-abuse engines for banks and large managers, typically bolted onto a separate archive. Greenboard is a whole compliance program for a smaller firm, and much shallower as a market-abuse detection engine.
• vs steeleye — SteelEye adds trade surveillance under MAR for EU/UK-facing firms. Greenboard is US-rule-shaped and has no comparable market-abuse modeling on firm order flow.
• vs theta-lake — deeper on video/voice/UC capture and risk; far narrower as a compliance program.

Who should choose them / anti-fit

Good fit: a US RIA, broker-dealer, hedge fund or private fund that wants a single system for archiving, supervision, marketing review and attestations, with a lean compliance team that would rather answer employee questions through a chat layer than a ticket queue. The Instant Bloomberg channel and the hedge-fund/private-fund framing make it credible for a buy-side firm; the Schwab directory listing makes it easy to find if you custody there.

Anti-fit: EU/UK firms whose obligation is MAR-shaped; firms that need real trade surveillance; large institutions with an incumbent archive and surveillance stack; anyone needing self-hosted deployment; and — as of today — firms whose main driver is capturing employee AI-assistant usage for recordkeeping, where hadrius is the documented option.

Known weaknesses / gotchas

• Young and small. Founded 2023, ~26 people. That is a thin bench for a system of record holding your 17a-4 archive; weigh key-person and viability risk, and ask what happens to your archive if the company is acquired or fails.
• No AI-assistant channel listed. In a wiki about governing enterprise AI, this is the notable gap versus its nearest competitor. Ask directly — it may be roadmap or simply unadvertised.
• Efficacy numbers are marketing. “99.14% reduction in false positives,” “99%+ retention,” “88% eliminating multiple tools,” “7-second marketing review,” “$200B in assets protected” are all vendor-reported with undefined denominators. Note both Greenboard and Hadrius claim “500+ financial institutions.”
• Supervision depth is undocumented publicly — no detail on lexicon configuration, model behavior, review workflow or retention settings on the product page. This is the part a compliance officer will be examined on; demand specifics in a demo.
• SOC 2 Type 2 is vendor-stated and unverified here; ask for the report.
• Consolidation lock-in — one vendor for archive plus supervision means a painful exit and a single retention posture.

Deployment & data handling

Multi-tenant SaaS; data leaves your tenancy by design (it is an archive). Archive architecture is stated WORM / 17a-4 compliant. Public sources give no detail on retention periods, data residency, sub-processors, which models power supervision and GreenboardGo, or whether customer content is used for model training — all of which should be diligence items.

Integrations & partnerships

Email; Slack and Microsoft Teams; SMS and iMessage; Instant Bloomberg; marketing platforms. Listed on the Schwab Advisor Services provider-solutions directory. Investors include General Catalyst and Commerce Ventures alongside lead Base10 Partners. MCP support: unverified.

Compliance & FS traction

Built around SEC/FINRA obligations — 17a-4 recordkeeping, supervision, Marketing Rule review, attestations, exam preparation. Vendor claims 500+ financial institutions, 99%+ retention, and “over $200B in assets” protected; fs_traction: claimed — self-reported, no named-logo corroboration found.

Commercial

Not disclosed. No public pricing; expect an annual subscription tiered by firm size and modules.

Competitors / alternatives

hadrius · behavox · steeleye · shield · theta-lake · nice-actimize · relativity-trace

Open questions / to verify

• Does Greenboard capture employee AI-assistant conversations (ChatGPT, Claude, Copilot) as a surveilled recordkeeping channel? Not listed as of 2026-08-18, and Greenboard is not on Anthropic’s Claude Compliance API partner list. Roadmap?
• Data handling: retention, residency, sub-processors, which models back supervision and GreenboardGo, and whether customer content trains models.
• Supervision mechanics — lexicon vs ML vs LLM, configurability, review workflow, and what the 99.14% false-positive figure is measured against.
• Independent confirmation of SOC 2 Type 2.
• Whether Wayfinder Ventures is an investor — named in secondary coverage but absent from the vendor’s own investor list.
• Pricing bands; whether the Schwab listing carries any commercial preferencing.
• Named FS customers (none public), and depth of hedge-fund vs RIA install base.

Contradiction (soft): Ventureburn describes Greenboard as Austin, TX-based; the YC directory and vendor materials say New York City. Recorded as NYC — the Austin claim appears to be aggregator error. Non-blocking, flagged 2026-08-18.

Sources

• Greenboard Raises $20M to Make Everyone a Compliance Champion — fetched 2026-08-18 — supports: $20M total incl. previously unannounced $15.5M Series A led by Base10, investor list, 2026-05-12, founders, 500+ institutions, 99%+ retention, GreenboardGo description; confidence: high for funding, low for traction stats (vendor).
• Greenboard — Y Combinator company profile — fetched 2026-08-18 — supports: YC W24, founded 2023, NYC HQ, team size 26, founder backgrounds (Feldman ex-Guideline, Schembor ex-Amazon); confidence: high.
• Greenboard — Communications Archiving & Supervision — fetched 2026-08-18 — supports: channel list (email, Slack/Teams, SMS/iMessage, Instant Bloomberg, marketing platforms), 17a-4 + WORM claim, absence of any AI-assistant channel; confidence: med (vendor marketing).
• Greenboard — homepage / solutions — fetched 2026-08-18 — supports: module map, target firm types, SOC 2 Type 2 claim, $200B assets and 88%/99.14% stats; confidence: med (vendor marketing).
• Anthropic — Claude Compliance API integrations — fetched 2026-08-18 — supports: Greenboard absent from the partner list (negative evidence for AI-chat capture); confidence: high.
• Cached: raw/sources/2026-08-18--greenboard--funding-and-yc-profile.md.

History

• [2026-08-18] Page created and researched in one pass (survey-v2.csv row → wiki-create + wiki-research). Established: founded 2023, NYC, YC W24, independent, $20M raised (incl. $15.5M Series A led by Base10, disclosed 2026-05-12), unified 17a-4 archive + supervision + marketing review + attestations, GreenboardGo conversational layer. Flagged soft HQ contradiction (Austin vs NYC) and the open question of AI-assistant channel capture, where hadrius currently differentiates.