We don't believe in an administration
that gets digitized –
but one that digitally empowers itself.
Senticor makes knowledge manageable, decisions evidence-based, tasks clear and projects traceable.
sovereign · open-source · compliant – and faster than anything before.
Mission 1: Manage knowledge, ground decisions, structure tasks
Our AI makes distributed expertise accessible, delivers evidence-based decision support, and structures tasks, responsibilities and projects — all in one system.
"From scattered knowledge to clear decisions and structured execution."
Mission 2: Build & operate AI products together
With partners, we develop, secure and operate production-ready AI products — from development through quality assurance and security to ongoing operations and support. Sovereign, auditable, EU AI Act & GDPR compliant.
"Built together, operated securely — AI products that hold up in daily use."
Knowledge is scattered everywhere — decisions are a gamble
Expertise in people's heads, rules in PDFs, tasks in emails, projects in spreadsheets. Nobody has the full picture — and every decision starts from scratch.
Expertise scattered across people, folders, and systems — impossible to find when it matters.
No audit trail, no evidence — decisions based on experience rather than facts.
Cases in emails, unclear responsibilities, deadlines tracked manually.
No overview of status, progress, or dependencies — every update requires follow-up.
Knowledge becomes context cells — which become Composables
Instead of searching for knowledge, we make it manageable. AI agents structure domain expertise automatically into networked context cells — versioned, verified and graph-linked. From these emerge Composables: ready-to-use modules that ground decisions, structure tasks, and make projects transparent.
AI agents work across every step: extract · classify · link · validate
Real example: Benefit eligibility check under German social law (SGB XII)
Before: Ms. Meier browses case files, looks up the relevant legal provisions (§§ 27–40 SGB XII), checks jurisdiction, writes memo — 45 minutes, no structured knowledge, no evidence chain.
Target: The system structures the relevant expertise, checks legal elements automatically, delivers an evidence-based decision foundation — Ms. Meier reviews and approves. Under 10 minutes.
Here's what we envision this to look like in the platform →
Not another tool — a platform that activates knowledge
Structured knowledge management
Domain expertise is automatically captured, networked and versioned. Every context cell is searchable, linked and up-to-date — no knowledge gets lost.
ChangeOps — regulations become releases
Regulation change? No more long-running project. The ChangeOps pipeline (automated change management) handles it in days instead of months:
Show ChangeOps Pipeline
Capture change → Assess impact → Update knowledge → Evaluate → Pilot run → Production rollout
Stop Principle — control built-in
All AI processes work only within your rules. On rule or policy violation: halt, never risk it. Four-eyes principle, approval gates and audit protocol are standard.
Decision support with evidence
Every decision is grounded in a traceable factual basis with evidence ledger, audit trail and source references. Reproducible, exportable and auditable.
From knowledge base to structured decisions
This is what knowledge management, decision support, and task structuring look like in Cognitive Hive.
Example: Benefits eligibility check — verification steps, evidence ledger and decision draft in one interface.
Open source core + sovereign operations
Compliance Details
From concept to production
— in three phases
Talk to us about your first productive phase — and see in 30 minutes what your first building block could look like.