# ComplyDo: turning global compliance work into a maintained system

Canonical: https://mudpie.ai/companies/complydo/
Breadcrumb: [Home](https://mudpie.ai/) / [Companies](https://mudpie.ai/companies/) / [ComplyDo: turning global compliance work into a maintained system](https://mudpie.ai/companies/complydo/)
Author: Ali Abouelatta (https://mudpie.ai/authors/ali-abouelatta/)
Published: 2026-09-19
Updated: 2026-09-19
Research type: Company profile
Method: Company and accelerator sources checked 2026-09-19. Product claims are attributed to their sources; this is research, not a hands-on product trial.

ComplyDo is trying to turn global compliance from a consulting queue into a maintained system.

## What it does

ComplyDo describes itself as a compliance engine for enterprises. The [YC profile](https://www.ycombinator.com/companies/complydo) says it extracts requirements from regulations and documents, maps them to controls and policies, shows gaps, and monitors changes.

The current [homepage](https://www.complydo.io/) breaks that into requirement mapping, evidence collection, questionnaire filling, horizon scanning, product compliance, and multi-entity management. This is not only audit preparation. It is a product for a company that has to keep answering the same trust, security, and regulatory questions across markets.

| Fact | What the public source says |
| --- | --- |
| Buyer | Enterprise GRC, compliance, legal, audit, and security teams |
| Workflow | Requirements, controls, evidence, questionnaires, changes, entities |
| Public deployment claim | The company says its platform works across global regulations and customer requirements |
| Pricing | No public price found in the checked sources |

## Why it is useful

The strongest part is the mapping layer. A compliance team does not only need a document repository. It needs to connect a requirement to an internal control, evidence, owner, and next action. ComplyDo’s product pages are built around that chain.

The company also makes a practical enterprise promise: upload the requirement, connect internal evidence, identify gaps, and keep the graph current. That is a more specific job than “AI compliance.”

The founder context is relevant but compact. YC lists Leo Schuhmann with a tech and consulting background, Moritz Moser as CPO, and Matthias Schneider as CTO focused on deploying agents for enterprise compliance. That is enough to understand the team’s orientation without inventing more.

## What I would resolve

The main tradeoff is flexibility versus trust. A platform that can ingest regulations, policies, contracts, questionnaires, and evidence needs strong provenance. Ask which parts are extracted, which are mapped by a human, how changes are reviewed, and what an auditor can see.

The homepage mentions ISO 27001, SOC 2, NIS2, DORA, TISAX, and other frameworks. Those are company-presented platform and security claims. They are not proof that a customer is certified or compliant.

The product is a fit for a compliance team with repeated cross-market work. It is probably too much for a small company that only needs a single evidence checklist.

Short version: ComplyDo is interesting when compliance slows market entry. The useful question is whether its graph actually reduces the work between a regulation, a control, and evidence a customer can trust.

## Sources checked — 2026-09-19

- [YC profile](https://www.ycombinator.com/companies/complydo)
- [ComplyDo homepage](https://www.complydo.io/)
- [ComplyDo About page](https://www.complydo.io/about-us)
- [ComplyDo security page](https://www.complydo.io/security)
- [YC launch](https://www.ycombinator.com/launches/Oae-complydo-automating-how-enterprises-comply-with-hundreds-of-global-regulations)

## Cohort context

ComplyDo is listed in Fall 2025. In our 2026-09-18 directory snapshot, 90 of 146 listed companies in that cohort have YC’s primary industry label B2B (61.6%). This is a current-directory comparison, not an original intake count or a performance ranking. [Nine-cohort dataset](https://mudpie.ai/research/yc-cohorts-2026-09-19.json).

## Public website snapshot

Observed 2026-09-19T16:14:58.098Z in raw homepage HTML. This records visible metadata and advertised links, not agent execution or product quality.

| Signal | Homepage observation |
| --- | --- |
| Product description metadata | Not observed in this response |
| Canonical link | Not observed in this response |
| H1 or H2 heading | Observed |
| Typed structured data | Not observed in this response |
| Docs/developer link | Not observed in this response |
| Pricing link | Not observed in this response |
| llms.txt link | Not observed in this response |
| Markdown alternate | Not observed in this response |

[Public observations](https://mudpie.ai/research/yc-homepage-links-2026-09-19.json) · [Collection method](https://mudpie.ai/research/yc-homepage-methods/README.md). Missing links here do not establish that a capability or file is absent elsewhere.


## Author disclosure

I cofound Lazyweb and publish Mudpie. This is an owner-written publication, not an independent testing organization. Research notes distinguish observations, sourced reporting and editorial judgment.