AI agents have been guessing on age-aware compliance. With neimo, they no longer have to

Ask any AI model what the age of digital consent is in Denmark.

Ask Claude. Ask ChatGPT. Even ask Perplexity. Ask any of the agents built on top of them. The answer: 13.

The real answer is 15, set by Section 6 of the Danish Data Protection Act under GDPR Article 8(1). The GDPR lets every EU member state pick its own age between 13 and 16. Denmark picked 13, then changed it to 15. Most models don't know that.

One wrong answer is one thing. But agents don't stop at answering. They run policy reviews, risk assessments, UI audits, code checks — and every one of those downstream artifacts inherits the original assumption. A policy review built on "Denmark is 13" sets the wrong threshold across the document. A risk assessment runs against the wrong age band. A code audit greenlights a gate at 13+. A UI review signs off on the wrong language. By the time anyone notices the original error, the team is debugging fifteen artifacts instead of one assumption. The mistake compounds through the stack faster than anyone reviews it.

If something had been sitting next to the agent the whole time — a source someone had actually read and checked, against the real law as it built — none of that would have happened.

Enter neimo.

What neimo is

neimo isn't an AI agent. It isn't an LLM. It isn't a workflow.

It's a trusted source of truth on regulation for the age-aware internet — and every fact in it was put there by a human.

Most of the AI safety conversation is about humans in the loop — a person reviewing what the model produced.

neimo does it one step upstream: we call it humans in the source.

Practitioner-prepared research, reviewed continuously by k-ID's in-house counsel and a network of leading privacy, online-safety and child-protection legal experts. Every entry read, structured, and vetted by a real person before any agent goes near it.

That's why the agent doesn't have to guess. It can read. Try it now.

The regulation, guidance, market intelligence and regulatory briefings that govern apps for kids and teens — catalogued into one database, with the primary source attached to every claim.

Alongside the law itself sits per-quarter market intelligence, drawn from real apps tested in real markets. What 84% of Brazilian games are doing about parental consent. What UK studios are shipping under the Children's Code. What Vietnamese platforms look like in chat. The benchmarks don't exist anywhere else.

The whole thing updates every day, as laws and the market change. The Legal Horizons feed flags upcoming changes before they take effect — so a clause that moves in São Paulo on Monday has already moved in neimo by Tuesday morning. And when an entry needs correcting — a stale source, a retrieval miss, a synthesis error — the fix happens once, at the source, and every customer's agent reads the new answer the next time it asks. Knowledge that's gotten better doesn't get better one team at a time.

In-house counsel at some of the largest gaming, social and consumer-platform companies in the world use neimo today to track 200+ regimes, benchmark how the industry actually behaves in each, and brief their product teams. It already powers more than 50 million age-aware experiences every single day, through k-ID's CDK.

Persistent, certified, trusted knowledge curated for building the age-aware internet.

What's changed this week

Until this week, neimo was a knowledge platform that lived inside k-ID's product. To get an answer out of it, counsel logged in, looked something up, wrote a brief, and sent it to product.

This week we connected neimo directly to AI agents via the Model Context Protocol. The same human-checked source now sits next to whatever agent the team is already in — Claude, Cursor, Copilot, Manus, Lovable, etc — and reads on demand.

The "is X allowed in Y" grind that used to eat lawyer afternoons runs in the agent in seconds, sources attached. And the agent doesn't just answer once and forget. It keeps reading against neimo as it works — every policy review, every risk assessment, every UI audit, every code check checked against the same source of truth, on every step. The wrong-answer cascade can't start, because the homework gets checked as the homework gets done.

This is the part most people miss about why AI gets compliance wrong. The agent isn't unintelligent. It just doesn't know which of the seven things its training corpus said about Denmark is the current right one. neimo doesn't make the model smarter. It gives the agent a source someone whose job it is to know has already read. That's the difference between guessing and answering.

Counsel still signs off. They just sign off on a sharper artifact, sooner, because the first-draft cycle shifted upstream and the early, repetitive work never reached their desk.

And bigger than the time-back: knowledge that used to be gated to a few lawyers is now in every team's workflow.

The PM asks the same questions counsel was asking. The founder asks them at 2am while vibe-coding. The engineer asks them inline in their IDE. The Trust & Safety lead asks them while drafting a moderation policy.

Same answer, same source, no relay.

Whoever's building the age-aware experience reads from the same gazette the lawyer reads from.

What this actually unlocks

A few of the things that just became possible.

Make counsel's briefing travel further. Outside counsel sends a six-pager on India ahead of the new launch. The team's rollout actually covers India, Vietnam and Indonesia. The agent runs counsel's brief against neimo and returns a side-by-side: where the India frame applies cleanly to Vietnam's PDPL and Indonesia's GR 17/2025, and where the local rules diverge enough that the team needs to come back to counsel with specific deltas. One brief, three markets covered, sharper follow-ups for the next round of legal review.

Map a code repo to GDPR. An engineer points the agent at her repo. "Pull the data processing flows and map them to GDPR's data subject rights." neimo extracts the raw data flows from the code, maps each to GDPR Articles 15–22, and flags the routes where deletion or rectification isn't reachable. Counsel reviews a real diagram against real law, not a policy doc against a checklist.

Audit a privacy policy against laws that didn't exist when it was written. A producer hands the studio's 2023 policy to the agent. "What needs updating for Brazil's new laws?" neimo redlines three clauses against ECA Digital and ANPD Resolution 15/2024 — each tagged with the article and source URL. The lawyer signs the redline. He doesn't have to write it.

Vet an age assurance rollout against the Brazilian market. A T&S lead checks the team's plan. "Is this in line with ECA Digital, and what are competitors actually shipping?" neimo returns the regulatory baseline (verified age over self-declaration, parent-controllable chat up to 18) and the in-market signal: 91% of competing Brazilian games don't even prompt for parental consent. The team knows what bar to clear and the gap competitors haven't.

Check an AI configuration against Australia's online safety codes. A T&S engineer pastes the team's moderation config into the agent. "Does this hold up under the Basic Online Safety Expectations?" neimo returns five gaps: missing under-18 reporting commitment, weaker recommender controls than required, no age-assurance trigger on age-restricted content. The team closes them before the next eSafety transparency report.

Ship to a market a solo founder would have skipped. An indie team has the build, doesn't have the counsel, and was going to ship US-only because the rest of the map is too expensive to research. The agent walks them through what changes for the UK, Brazil and Japan — the consent rules, the age-assurance triggers, the dark-pattern bans — every claim with the source attached. They ship in four markets instead of one, knowing what's compliant before they push.

Counsel takes ten questions before lunch instead of one. Brazil chat default. India consent flow. Korea age verification. EU profiling. UK age assurance. Each used to be a research dive — pull the regulation, scan recent guidance, check what other apps are doing, write the memo. Today she runs ten neimo lookups, sends ten informed responses with sources attached, and gets the afternoon back for the strategic call only she can make.

And once the same source of truth is open to the rest of the team: a producer sequencing a five-market rollout against each regulator's clock in an afternoon. A designer running a new flow against dark-pattern rules in Brazil, the UK and California. A marketing lead checking under-18 ad targeting against profiling prohibitions before launch. A privacy lead running a quarterly audit in a morning instead of a quarter. A founder walking into a board meeting with the studio's compliance posture across every market, primary sources baked in.

Different teams, different prompts, same source of truth underneath.

Now live in Manus

neimo is officially supported in the world’s fastest growing AI agent Manus AI today — one click to install, no config, no scripts to run. Open Manus, add neimo, ask your first question. You can use it right now.

A few prompts to try the moment it's running:

• "Cross-check the briefing my counsel sent on India for the rollout, then tell me what changes for Vietnam and Indonesia."

• "Map every personal data field in our repo to a GDPR article — and flag where erasure isn't reachable."

• "Show me parental consent rules across COPPA, GDPR-K, ECA Digital, the DPDP Act and Vietnam's PDPL — side by side."

• "Vet our age assurance plan for Brazil against ECA Digital and what other apps in market are actually shipping."

• "Build a kids compliance posture for our entire portfolio, across every market we operate in: applicable statutes, our current state, the regulator's enforcement clock in each, what competitors are shipping and skipping, prioritised remediation — primary source on every claim."

That last one is the rest of your quarter, in a single prompt.

The lawyer keeps the decision and gets her afternoon back. The team ships from a sharper draft. The agent gets a human-reviewed source.

Age-aware in real time has been the canonical k-ID promise since day one. It now applies to the agent doing the work, not just the child or teen using the platform.

That's what we're building: an answer for age-aware compliance, in AI. Starting with the literal one. Try it now.

— Kieran