EU-HOSTED  ·  GDPR-NATIVE  ·  ENFORCED AT RUNTIME

The control plane for enterprise AI.

AI gateway, policy engine, MCP supply-chain protection, real-time DLP and cost control — consolidated into one auditable control plane that sees and governs every AI request as it happens.

FinlandBuilt in Helsinki for regulated European enterprises — no US Cloud Act exposure.

Governing every model your teams already use

OpenAI
OpenAI
Anthropic
Anthropic
Gemini
Gemini
Mistral
Mistral
Copilot
Copilot
Perplexity
Perplexity
Why it matters
Every prompt your team sends is a data-egress event. Roder is the only place you see them all — and the only place you can stop one.
Roder
The Roder thesisRuntime control over every AI principal
The unified platform

Everything you need to govern AI at scale.

Write a rule once — it protects every team, every model and every request, from a single control plane.

01

AI Gateway

Every request from every model — chat, agents and MCP tool calls — routed through one inline enforcement point, so nothing reaches a provider unseen or unlogged.

02

Policy Engine

Composable CEL policies evaluated at runtime, versioned and testable, so the same rule protects every team and every model without a single code change.

03

Real-time DLP

PII, secrets and source code detected and redacted in flight — on every prompt and every response — before a single token crosses your perimeter.

04

MCP Protection

Trust graphs and lethal-trifecta detection across every Model Context Protocol server your agents reach, with policy enforced on each individual tool call.

05

Agent & MCP Security

Access certifications and the full lifecycle for every principal — human and non-human — with periodic reviews, attestations and one-click revocation.

06

Cost & Budgets

Per-team token attribution, hard ceilings and a throttle mode that keeps enforcement running even after the budget is spent — security never lapses.

Connect everything

One platform, every model and tool.

Route 2,000+ models and 500+ MCP servers & tools — OpenAI, Anthropic, Gemini, Mistral and any OpenAI-compatible endpoint — through a single control plane.

One gateway for every model and tool you run
2,000+ models · 500+ tools
Sovereign by design

100% EU-hosted.
No US Cloud Act exposure.

Built and operated in Finland, deployable as EU-hosted SaaS or fully on-premise — engineered against the regulations your auditors actually ask about.

EU
Roder AI Oy · Helsinki, Finland · EU data residency
Engineered against
GDPREU AI ActDORANIS2EHDSCRAeIDAS 2.0ISO 27001ISO 42001SOC 2 Type II

Frequently Asked Questions

Everything you need to know about the Roder control plane.

What exactly is Roder?+
Roder is a single control plane for enterprise AI. It consolidates an AI gateway, policy engine, MCP supply-chain protection, real-time DLP and cost attribution into one auditable system — deployed as EU-hosted SaaS or fully on-premise.
How is this different from a CASB or an API gateway?+
A CASB sees network metadata; an API gateway routes traffic. Roder understands AI semantics — prompts, responses, tokens, MCP tool calls and the principals behind them — and enforces policy on the content itself, in real time, with a compliance-grade audit trail.
Where is my data hosted?+
In the EU, always. Roder runs entirely on European infrastructure with no US Cloud Act exposure, and can be deployed on-premise inside your own perimeter. The company is Finnish and operated from Helsinki.
How long does it take to deploy?+
Under an hour to a first EU-hosted trial. Point your AI traffic at the gateway and requests, principals and policy decisions start appearing immediately — no agents to install on every endpoint.
Which models and tools does Roder support?+
OpenAI, Anthropic, Google Gemini, Mistral, Microsoft Copilot, Perplexity and any OpenAI-compatible endpoint — over 2,000 models — plus 500+ MCP servers and tools your agents connect to. New providers route through the same gateway with no code change.
Does Roder help with the EU AI Act?+
Yes. Roder ships compliance packs that map its controls to the EU AI Act, GDPR, DORA and NIS2, backed by an immutable seven-year audit trail — so the evidence your auditors ask for is already there when enforcement begins in August 2026.

Take back control of your AI.

Spin up an EU-hosted trial in under an hour, or talk to the team that built it. Either way, you'll see every request by the end of the day.

Regulation9 min read

Compliance as code: turning the EU AI Act into evidence

Most teams treat the AI Act as a policy problem. Treat it as a logging problem, and each obligation becomes a query you can actually run.

Roder Research29 Jun 2026
← All writing

A regulator does not want your intentions. They want your logs.

The EU AI Act entered into force on 1 August 2024 and arrives in stages. The ban on unacceptable-risk practices and the AI-literacy duties applied from February 2025. Obligations for general-purpose AI models have been live since 2 August 2025. The largest wave lands on 2 August 2026, when the transparency duties and the Commission’s enforcement powers take effect, with fines reaching €35 million or 7% of global annual turnover. The 2026 Omnibus agreement pushed some Annex III high-risk deadlines out to December 2027, but the direction of travel is fixed: if you run AI in Europe, you will be asked to show your work.

Feb 2025
Prohibited practices and AI-literacy duties apply
Aug 2025
GPAI model obligations in force
Aug 2026
Transparency rules and enforcement powers
Dec 2027
Annex III high-risk duties (per Omnibus)

The obligations that become queries

Read Articles 8 to 15 as an engineer and they stop sounding like policy. They read like a specification for what your system must record. Each duty on the left has an answer on the right that is simply a query against an audit trail.

Article 12 · Logging
Automatic record-keeping over the system’s lifetime
Evidence
An immutable, timestamped record of every AI request and decision. “Show me every inference for system X last quarter.”
Article 50 · Transparency
Disclose AI interaction; label synthetic output
Evidence
A disclosure flag on each interaction and a machine-readable label on generated content, both queryable.
Article 14 · Human oversight
A person can understand, override and intervene
Evidence
Every override, approval and escalation captured, with the identity of the human who made it.
Article 10 · Data governance
Govern the data that goes in and comes out
Evidence
What entered the prompt, what was redacted, and where it was processed, on every request.
Article 15 · Accuracy and robustness
Monitor performance and report incidents
Evidence
Drift and incident records, retained and exportable to a regulator on request.

From promise to query

This is the whole difference between saying “we comply” and proving it. When a supervisor asks how a system behaved, the answer should be a query that returns signed records, not a workshop that produces a slide deck.

roder.audit › query: system=hr-screening period=Q2-2026
41,204 inferences · 100% logged · 318 redactions · 12 human overrides
→ export: signed, EU-resident, GDPR Art.30 ready

Built in, not bolted on

Roder ships Compliance Packs for GDPR, the EU AI Act, DORA, NIS2 and EHDS as policy sets and evidence templates, and every request already produces the underlying record. The regulation becomes configuration rather than a scramble, because the evidence was being written the whole time.

Make the AI Act a log query.

See how Roder turns each obligation into signed, EU-resident evidence you can export on demand.