Small Business
Nombre d’utilisateurs: 25. Espace de stockage: 25 Go
(Mensuel: 110 €)
Build, run and prove your AI agents and automations. Full event logging, risk management, incident tracking and real-time alerting — every AI system classified against the EU AI Act and ISO 42001. Sovereign, self-hosted, under your control.
Trusted by organizations building secure enterprise systems
AI agents are making decisions inside your business right now. Screening applicants, routing claims, answering customers, moving data. Most organisations cannot say what those agents did, which touched personal data, or what happened when an automation failed silently.
Agents run, configurations change, conversations happen. Nobody sees it until something breaks.
EU AI Act and ISO 42001 documentation assembled by hand, after the fact, in the week the auditor arrives.
Nothing stops an agent doing something it shouldn't. You find out afterwards, from someone else.
@Human is the AI governance platform where you build AI systems inside the governed environment. Governance is built in, with guard rails, not bolted on afterwards.
Build agents, automations, chatbots and data models within defined behavioural guard rails. Change management is tracked on every revision, so what you build is compliant by construction.
Set alerts on configuration changes, conversation spikes or blacklisted terms. A failed automation becomes a tracked incident with an owner, not a silent error in a log file.
Group agents into defined AI systems, run a fundamental rights impact assessment, classify the risk, and generate the documentation regulators require from evidence captured automatically.
A governed workspace for AI agents, automations and enterprise applications. Everything you build is logged, classified and auditable from the moment it runs.
@Human is driven by a Model Context Protocol server, so you don't wire up modules by hand. You describe the business outcome you want, and @Human designs the right team of AI agents, configures them, and keeps every one inside its guard rails.
Tell @Human the outcome in plain language, "triage incoming claims and flag anything high-risk for review." No data models, no manual setup.
The MCP-driven AI recommends the right architecture, a sequential pipeline, concurrent execution, hub-and-spoke, or a dynamic hand-off team, based on what the job actually needs.
@Human generates every agent, turns your existing modules, automations and connections into callable resources, and applies token limits and guard rails from the start.
Toggle between letting @Human build for you, constrained to what the system safely allows, and configuring everything by hand. Either way, every agent stays inside its defined guard rails.
@Human applies a security-operations approach to AI governance. If you have run a SIEM, this will feel familiar, except the events are agent decisions, configuration changes and conversations.
Every agent activation, deactivation and configuration change, with who and when.
See what agents and AI assistants actually said, in full, at runtime.
Blacklist terms and set behavioural limits so agents never cross the line you set.
A failed automation is an incident with a status and an owner, not a lost error.
Trigger on single events, cumulative counts in a time window, or strict sequence patterns.
Every project revision tracked, with active versions and drafts managed side by side.
Define your AI systems, including the connected infrastructure the Act brings into scope. A fundamental rights impact assessment drives the risk classification: high-risk, limited-risk or prohibited. Map the harm scenarios, the operational triggers, and the groups those harms would fall on.
Systems that touch hiring, credit, healthcare or public services are high-risk by default under Annex III. @Human generates that reporting from records it already holds, aligned to ISO 42001, the international standard for AI management systems.
Applicants filtered by a screening model. Patients triaged by an AI assistant. Children affected by content recommendations. Older adults dependent on automated care decisions. The EU AI Act exists because these decisions have consequences, and someone has to be accountable.
@Human gives you control over the parts of the AI stack that matter most for a regulated, sovereign deployment.
Run @Human on your own infrastructure or in your chosen EU region. Logs and audit records stay where you put them.
Choose your LLM vendor, including EU providers such as Mistral, or host your own models. No lock-in.
Role-based access control, data governance and human-in-the-loop steps that hold at runtime.
Sensitive data stays where you need it, with oversight that stands up to audit and inspection.
Corteza is a secure, low-code platform for building enterprise applications, data models and business tools with guard rails and integrated security by default. In production since 2019 and used by organisations worldwide, Corteza is available today with enterprise support and implementation services.
Model data, design records and pages, and ship enterprise apps without starting from a blank codebase.
Role-based access control and permissioning built into the platform, not added on later.
Run Corteza on your own infrastructure, with full control over your data and deployment.
Documented oversight, logged decisions and EU AI Act reporting that traces back to real records, not a spreadsheet assembled the week before an audit.
Full visibility of AI agents in production, incident tracking when automations fail, and controls that hold at runtime.
Self-hosted and EU-based, with an audit trail that stands up to procurement and inspection.
@Human is open source and the whole platform is yours, whatever you pay. Most people start at a few euros a month.
a month
If money is tight. Students, researchers, anyone learning the platform.
Start at €1a month
What we suggest if @Human is doing real work for you. Enough of these and the project pays for itself.
Start at €10a month
If it saves you more than it costs and you want the roadmap to keep moving.
Start at €25Any amount above €1 works. Change it or stop at the end of any month, and nothing in your install changes either way.
Need more than the forum? Support plans add our time, not more features.
Prices exclude VAT. See the full comparison
An AI governance platform lets an organisation build, monitor and prove the compliance of its AI agents and automations. @Human logs every agent action, tracks failures as incidents, runs AI risk management, and maps each AI system to the EU AI Act and ISO 42001, so compliance is demonstrable rather than assumed.
Corteza is a product, not a company. It is a secure low-code platform for building enterprise applications, built and maintained by Planet Crust and in production since 2019. Planet Crust is the company; @Human and Corteza are its two products.
@Human classifies AI systems as high-risk, limited-risk or prohibited, runs a fundamental rights impact assessment, maps harm scenarios to affected groups, and generates the documentation the Act requires, aligned to ISO 42001.
Yes. @Human can be self-hosted on your own infrastructure or run in an EU cloud region. Your logs, audit records and sensitive data stay where you put them, with your choice of LLM including Mistral.
A 20-minute walkthrough. Bring one AI system you are unsure about. We will show you how it would be classified, logged and reported for EU AI Act compliance inside @Human.
No obligation · No sales deck · Bring a real use case
USDEURGBP
Nombre d’utilisateurs: 25. Espace de stockage: 25 Go
(Mensuel: 110 €)
Nombre d’utilisateurs: 50. Espace de stockage: 50 Go
(Mensuel: 200 €)
Nombre d’utilisateurs: 100. Espace de stockage: 100 Go
(Mensuel: 380 €)
Nombre d’utilisateurs: 250. Espace de stockage: 250 Go
(Mensuel: 820 €)
USDEURGBP
25 Benutzer & 25 GB Speicherplatz
(Monatsabonnement 110 €)
50 Benutzer & 50 GB Speicherplatz
(Monatsabonnement 200 €)
100 Benutzer & 100 GB Speicherplatz
(Monatsabonnement 380 €)
250 Benutzer & 250 GB Speicherplatz
(Monatsabonnement 820 €)