Knowlee vs Kertos (2026): Compliance-as-Schema OS vs Compliance Agent Platform

Quick verdict. Kertos is an AI-guided compliance automation platform that helps compliance teams discover data assets, assess risks, generate documentation, and continuously monitor audit readiness across GDPR, ISO 27001, SOC 2, NIS 2, and the EU AI Act. With ~€18M raised, ~$6.2M ARR, and 5,000+ users, it is a serious compliance product for organizations that need a dedicated compliance workflow tool. Knowlee approaches compliance differently: rather than a compliance team's tool, Knowlee makes compliance metadata structural on every agent job — risk_level, data_categories, human_oversight_required, approved_by, approved_at — so every AI operation the organization runs is AI Act-shaped at creation. Two different models for the same regulatory challenge, in the same EU market. Pick Kertos when compliance is a department-level problem managed by a compliance team. Pick Knowlee when compliance is an infrastructure-level requirement that needs to be embedded in every AI operation, not managed separately.

What each platform actually is

Kertos (kertos.io, Munich / Berlin, founded 2021, ~€18M raised including a €14M Series A in 2025 led by Portage, ~$6.2M ARR, 5,000+ users) is an AI-guided compliance automation platform targeting compliance teams. Its agents discover data assets across the organization, assess risks, generate documentation required for GDPR, ISO 27001, SOC 2, NIS 2, and EU AI Act compliance, and continuously monitor audit readiness. The no-code interface makes it accessible to compliance professionals without engineering support. Both Kertos and Knowlee are EU-based, which shapes how seriously each treats European regulatory requirements.

Knowlee is a horizontal agentic operating system where compliance metadata is not a product category — it is a schema requirement on every job in the system. Every workflow the OS manages carries declared risk_level (minimal/limited/high/unacceptable), data_categories, human_oversight_required (boolean), approved_by, and approved_at. These fields exist on every job at creation, including jobs that have nothing to do with a compliance workflow. The audit trail is a native output of every run. Compliance is not something Knowlee does to jobs — it is something Knowlee is made of.

Architecture difference: compliance as a product vs. compliance as a schema

Kertos: a compliance team's operating environment

Kertos's architecture treats compliance as a workflow domain with its own tools, UI, and specialist users. Its agents work like a compliance analyst would: discover what data assets exist and where they live, assess which processing activities carry which risks under which regulations, generate the documentation that auditors want to see (RoPA, DPIAs, technical and organizational measures), and continuously re-check audit readiness as the organization's data posture changes. The no-code interface means compliance officers can configure and run the agents without engineering involvement.

This is a valuable model for organizations where compliance is a dedicated function run by specialists. The compliance team has a tool; the tool produces compliance outputs; the outputs satisfy auditors. The rest of the organization's AI operations remain largely separate from the compliance workflow.

Knowlee: compliance metadata embedded in every job

Knowlee's approach is different in kind. There is no "compliance module" — there is a job schema that every agent run inherits. A sales research job, a legal review job, a talent screening job, and a compliance monitoring job all carry the same fields: risk_level, data_categories, human_oversight_required, approved_by, approved_at. The AI Act audit trail is not a separate report generated after the fact — it is the execution log that every job produces as a native output. An operator running a high-risk AI operation cannot accidentally omit the governance metadata, because the metadata is required at job creation.

This is compliance-as-infrastructure rather than compliance-as-product. The two models serve different buyers with different needs.

Side-by-side comparison

Where Kertos wins

Kertos is the right tool when the buyer is a compliance team that needs a dedicated compliance workflow environment:

• Compliance team as primary user. Kertos is designed for compliance officers and DPOs, not for platform operators. The no-code interface, the workflow model, and the documentation outputs match how compliance professionals actually work.
• Automated data asset discovery. Kertos's agents scan the organization's data environment and map processing activities without requiring the operator to declare them manually. For organizations that do not know their full data asset inventory, that discovery capability is essential.
• Documentation generation. RoPA, DPIAs, technical and organizational measures — Kertos generates the documentation auditors want in the format they expect. Knowlee does not produce these documents; it produces execution logs.
• Multi-framework coverage. GDPR, ISO 27001, SOC 2, NIS 2, EU AI Act — Kertos tracks requirements across multiple frameworks simultaneously. For organizations subject to several regulatory regimes, that breadth is valuable.
• Continuous audit readiness monitoring. Kertos does not just generate a compliance snapshot — it continuously monitors whether the organization stays in compliance as its data posture changes. That ongoing posture is a distinct capability.
• 5,000+ users as evidence of product maturity. ~$6.2M ARR at 5,000+ users in a specialized compliance market indicates that Kertos has found repeatable product-market fit with compliance buyers.

Where Knowlee wins

Knowlee is the right tool when compliance needs to be embedded in AI operations themselves, not managed by a separate compliance team:

• Compliance-as-schema, not compliance-as-product. If the organizational requirement is that every AI operation the company runs is auditable, risk-classified, and human-oversight-declared at the moment of creation — not after the fact — Knowlee's job schema delivers that structurally. Kertos generates compliance outputs from existing AI operations; Knowlee makes those operations compliant by definition.
• EU AI Act for AI operators, not just compliance teams. The EU AI Act's requirements apply to how AI systems are operated, not just how they are documented. Knowlee's risk_level, data_categories, and human_oversight_required fields map directly to the Act's high-risk AI obligations, on every job, from creation. See agentic process automation.
• Multi-vertical operation with one audit trail. Sales pipeline, talent screening, legal review, compliance monitoring — Knowlee runs them as one coherent fleet with one audit trail. Kertos monitors compliance separately from where the AI operations happen.
• Cross-vertical compounding. Compliance signals that inform sales decisions, legal flags that inform ops jobs — that compounding requires a shared Brain. See multi-agent orchestration.
• Operator-grade runtime. A COO or platform lead who needs one interface showing what every AI agent is doing — including which jobs are flagged high-risk, which are pending human approval — gets that from Knowlee's kanban. Kertos's UI is compliance-workflow-specific.
• MCP Model Context Protocol fabric. Knowlee's integration layer connects compliance metadata to the same graph, database, and workflow tools used by every other vertical.

Decision framework

The DPO or compliance officer. You are responsible for GDPR, ISO 27001, and EU AI Act compliance. You need tools your team can use without engineering support — asset discovery, DPIA generation, continuous audit monitoring. → Kertos is the right product for your function. It is designed for compliance professionals and produces the outputs your auditors require.

The COO or CTO deploying an AI workforce. You need every AI operation your organization runs to be auditable, risk-classified, and compliance-documented from the moment it is created — not as a downstream compliance exercise. You want the audit trail to be a native output of operations, not a separate system. → Knowlee is the right architecture. Compliance is structural, not a module. Both are EU-based, both take the regulatory context seriously; the difference is where in the stack compliance lives.

The enterprise with both needs. A compliance team using Kertos for GDPR and ISO 27001 audit documentation, alongside Knowlee as the operational OS where every AI job is AI Act-shaped — is a coherent hybrid. Kertos handles the documentation and discovery layer; Knowlee handles the operational governance layer. They address different problems.

For more on the regulatory dimension see Knowlee vs CrewAI and agentic OS vs agent platform in 2026. For the Brain model, see agentic operating system explained and agentic workforce platforms comparison.

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