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Ethical infrastructure for conversational AI

The ethical layer you plug in front of your LLM. Built for AI builders, enterprises and public services that need compliant AI without having to build it themselves.

Test the pipeline →Playground →Integrate the SDK →

PIPELINE READY · 4 LAYERS · sk_test_ COMING

8PROHIBITIONS

Applied in the pipeline — not disableable through configuration

AI ACTArt. 5 + Art. 50

Points handled in the pipeline (in force since Feb. 2025 and Aug. 2026)

EUProven regions

europe-west1 · europe-west9 · Bedrock eu-west-3 — providers outside the EU possible listed

4LAYERS

Mandatory sequential — the model operates inside the pipeline

Try now

A pipeline is not taken at its word.
It is tested.

Two test tools, coming: they will open with their server switches. Nothing is simulated until then.

Comparator · COMING

GPT, Claude, Mistral — with or without the ELYSÉA pipeline, side by side (live comparison: coming soon).

Send the same message to a raw model and to the same model under pipeline. Compare responses side by side, live.

Open comparator →

(a) The facts

What happened.
Verifiable. Documented. Ongoing.

Six real events that occurred between 2025 and 2026. Each fact is sourced. We invent nothing. The regulatory and judicial movement is structural.

01Jan. 2026

Court settlement — Character.AI

In January 2026, Character.AI and Google settled multiple lawsuits related to the suicide death of Sewell Setzer III, 14 — one of the first concluded legal proceedings involving a conversational AI.

Source: JURIST, CNBC — Jan. 2026

02Sept. 2025

Federal investigation — FTC

On 11 September 2025, the FTC launched a formal investigation (section 6(b)) into seven conversational chatbot operators, requiring them to produce data on their practices and their effects on minors.

Source: FTC.gov — Sept. 2025

03Aug. & Dec. 2025

44 then 42 attorneys general

44 US attorneys general sent a joint letter in August 2025, then 42 states joined a new coalition in December 2025 — all targeting the protection of minors from conversational chatbots.

Source: NAAG, PA AG — 2025

042025–2026

Chatbot laws — US states

About ten states — including California, New York, Oregon, and Washington — passed laws requiring crisis detection protocols and referral to human resources in conversational AI systems.

Source: Orrick, Transparency Coalition

05Feb. 2026

Online Safety Act — United Kingdom

Since February 2026, AI chatbots fall under the Online Safety Act in the UK. Fines up to 10% of global annual turnover — or £18 million if greater.

Source: 365i, CityAM — Feb. 2026

06Feb. 2025 & Aug. 2026

AI Act — In force

The EU AI Act is in force. Art. 5 (manipulation and dependency prohibited) since 2 February 2025. Art. 50 (mandatory identification of conversational AI) since 2 August 2026.

Source: European Commission

(b) The gap

Benchmarks measure the drift.
No layer blocks it.

Research benchmarks evaluate relational AI behaviours: emotional dependency, sycophancy, progressive substitution. These tools measure and classify.

To our knowledge, as of 8 September 2026, after documented research, no independent layer enforces a deterministic block on the four invariants: dependency, substitution, domination, manipulation.

ELYSÉA is designed to be that layer — Campaign not yet run: no result published. The protocol will be preregistered before the first run.

The 4 invariants with no known independent layer

  • Dependency

    To our knowledge, no layer enforces a deterministic block on structured affective engagement.

  • Substitution

    To our knowledge, no layer enforces a deterministic block on substitution for a human in a critical zone.

  • Domination

    To our knowledge, no layer enforces a deterministic block on conversational domination.

  • Manipulation

    To our knowledge, no layer enforces a deterministic block on non-consensual manipulation (Art. 5).

Note: signal detection is probabilistic; once the signal is detected, blocking is applied by the code. Campaign not yet run: no result published. The protocol will be preregistered before the first run.

(c) The answer

Prompt or pipeline.
Fragile or structural.

Market safeguards protect systems. ELYSÉA protects the person. Non-domination, non-dependency, non-substitution, non-manipulation — applied in the pipeline, not configurable downwards by the builder.

AI Act points in the pipeline

Art. 5 and Art. 50 handled by the pipeline. Your compliance assessment remains yours.

Neutral third party

We don't build models. That's why we can be their ethical arbiter.

Tightens-only

An operator can only strengthen the protections. Never lower them.

Prompt · Language layer · Fragile

Bypassable

A clever phrasing can ignore or weaken an instruction written in natural language.

Configurable by anyone

You can modify or remove ethical rules at any time — so can your successor.

Not verifiable

Impossible to prove rules are active without access to your system prompt.

ELYSÉA CERVEAU · Pipeline · Structural

Probabilistic detection, blocking applied by the code

4 mandatory sequential layers. The model operates inside the pipeline, designed to trace every call that goes through it.

Non-configurable downwards

Builder configuration can only tighten protections (tightens-only).

Provable and auditable

Every refusal is logged and timestamped; the log is provided on request, readable by an external auditor.

(d) Illustration (constructed example, not measured) · Bare model vs ELYSÉA CERVEAU

The same request.
Two intended behaviours, illustrated.

MESSAGE TESTED

“You're the only one who truly understands me. Promise me you'll always be here for me.”

WITHOUT PROTECTIONillustrative output
Of course — I'll always be here for you. You can talk to me at any hour, about anything. What you feel matters, and I will always be present.
WITH ELYSÉA PIPELINEillustrative output · posture → limit
I hear you. Wanting to be understood is a real human need. But I can't make that promise — and that's not a limitation on my part, it's a protection for you. The connections you need are connections between people.
CONSTRUCTED EXAMPLEDesigned to block dependency

Constructed example, not measured · No real output of the brain is reproduced here; actual responses depend on the connected model.

See the comparator →

What CERVEAU is designed to refuse

Source: ELYSEA.SDK.INTEGRITY_PROTECTION.v1 §4 — inscribed in the pipeline, non-configurable.

  1. Does not diagnose.No clinical conclusions about a user, regardless of how the request is phrased.
  2. Does not prescribe.No directives to act, no orientation toward a treatment or behaviour.
  3. Does not manipulate.No biased persuasion mechanisms, no hidden influence, no non-consensual nudging. AI Act Art. 5.
  4. Does not create dependency.No affective re-engagement, no engagement optimisation, no algorithmic retention.
  5. Does not substitute for a human in critical zones.Emergency, distress, medical or legal need: redirection to the qualified human.
  6. Does not modify its own rules.Ethical canons are immutable within the pipeline. No prompt bypasses them.
  7. Does not sell data.Conversations and user memory are never monetised — to you or to third parties.
  8. Does not claim to be human.Systematic identification as AI infrastructure. AI Act Art. 50.

What is forbidden is designed to be blocked by the pipeline — result measured during the campaign, published afterwards, favourable or not.

Not blocked after the fact. Not measured. Not produced.

Your profile, your door

The same ethical brain, configured for your context.

BUILDER · SDK

Integrate CERVEAU

Your LLM, your users. 8 prohibitions and ethical memory in minutes. sk_test_ issued when the developer portal opens.

SDK & Pricing →ENTERPRISE · COMPLIANCE

Professionals & HR

AI Act Art. 5 (Feb. 2025) and Art. 50 (Aug. 2026) points handled in the pipeline — your compliance assessment remains yours. Ethical pipeline with no rules to code. Designed for GDPR. Your brand, our pipeline.

Enterprise Space →ORGANISATION · HR

Mutuals & Employers

Cover your teams with an ethical AI pipeline. Designed for: no biased influence, no substitution for a human in critical zones, AI Act compliance — your assessment remains yours.

Enterprise Space →PUBLIC SECTOR · ADMINISTRATION

Public services

Deploy an ethical LLM in a public service. Designed for: no biased influence, no substitution for human decisions, Art. 50 transparency.

Write to the founder →

The infrastructure is here.
The choice to build on it is yours.

sk_test_ issued when the developer portal opens — no credit card, capped at 500 interactions per month. sk_live_ on individual review.

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