· Xavier Geerinck
Where OpenShell Fits in a Production Agent Platform
Comparing NVIDIA OpenShell 0.1.2 to our own Agent Runtime, better in some points, worse in others.
Read articleFor EU government, defence and regulated enterprises that must keep AI inside their perimeter — built to support EU AI Act, NIS2 and DORA obligations.
We make your organisation's processes Agentic
Most organisations have great people, broken processes, and data they can’t use. We fix two out of three. Deliberately. The AI that could do that isn’t allowed inside your perimeter — that is the problem we solve.
We’re building the Cognitive Enterprise: one sovereign foundation that connects your people, processes, and data. An AI OS turns broken processes into autonomous ones. Analytics turns data you can’t use into decisions you can. And because it’s European-native, it runs wherever your rules require — from air-gapped to cloud.
Industries
Built for Europe's most demanding sectors
One sovereign platform, applied to the problems that matter in your sector — with the regulation and deployment constraints you already live with built in from the start.
Defence
Air-gap ready
From sensor to C2: a live Common Operational Picture and decision advantage — at headquarters, in theatre, and at the disconnected edge.
Explore DefenceGovernment
Digital sovereignty
Modern public services without losing control: the AI OS automates casework, reporting, and citizen services on infrastructure you govern.
Explore GovernmentFinancial Services
Supports DORA
One ontology of customers, counterparties, and exposure — faster onboarding, reporting, and risk decisions, with the audit trail regulators expect.
Explore Financial ServicesHealthcare
GDPR by design
One clinical ontology from admission to discharge: put your data to work for better care, while patient privacy stays protected by design.
Explore HealthcareCritical Infrastructure
Supports NIS2
A live operational picture of grid, network, and fleet: predictive insight and automation without exposing critical systems.
Explore Critical InfrastructureYour sector
Manufacturing, logistics, legal, retail — the platform is industry-agnostic at its core. Tell us about your processes and data, and we'll show you what it looks like in your world.
The problem worth naming
Copilots made your people faster.
They didn’t make your company smarter.
A copilot helps the person using it and stops there: the process around them still moves at the speed of handovers, every tool keeps its own fragment of the context, and each new assistant adds another set of permissions for someone to audit. The enterprise AI platforms that go further assume your data can live on someone else’s cloud — which, for European government and regulated organisations, it cannot. That is the gap Scrydon closes: organisational AI — whole processes running with agents, systems and people working from one shared model of the business — inside your own perimeter.
Take it with you
Before the next pilot, find out where you stand.
Enterprise AI to production: the checklist
About thirty questions to put to your own team, grouped under grounding, governance, orchestration and sovereignty. Tick what is true for you today and see a score per dimension. One page, yours to print.
Start small
One endpoint. Every model.
Every developer accounted for.
Your developers already use coding agents, and your vendors are moving you from seats to tokens. The AI Gateway is the part of the platform you can adopt on its own, without a programme: one governed address every tool points at instead of a vendor, deployed in your perimeter. A week later you know who uses which model for what, what it costs, and where the ceiling is.
Your tools, unchanged
A base URL and a key. Claude Code, Codex, Cursor and any application speaking a standard completions API keep working.
Runs as a person, not a key
Every call resolves to the human who made it through your own identity provider. No vendor key ever reaches a laptop.
A number for the token contract
Spend per developer, per team and per model, an on-pace projection, and a monthly cap — before the invoice arrives.
The Cognitive Enterprise
Different sectors, same engine. Underneath every solution above sits one platform: an AI OS that makes processes autonomous, Analytics that turns data into decisions, and a semantic layer that understands how your organisation fits together — on infrastructure you control.
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The AI OS for Humans & AI Agents
Revenue Overview — Q2 2026
Connected to Cognitive Enterprise
Revenue
€4.2M
+12%
Pipeline
€11.7M
+8%
Churn
2.1%
−0.3pp
Monthly RevenueJan – Dec 2025
JanMarJunSepDec
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Ontology & Semantic Layer, one connected model for your data, knowledge & processes
Sovereign Foundations
Deploy from Air-gapped to Hyperscale
Every Layer, Explained
A deep dive into each component of the platform — what it does, why it matters, and how it fits into the whole.
Human + AI Orchestration
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The AI OS for Humans & AI Agents
The Human + AI Orchestrator is the operational runtime at the heart of the AI OS — also called the Agentic OS — scheduling, routing, and governing every task across your enterprise, whether executed by an AI agent, an existing system, or a human.
Most organisations have broken processes: encoded in siloed systems or locked in people's heads. The AI OS makes them visible and executable. It captures intent, synthesises context, acts — then feeds every result back into the ontology so the next run is smarter. All of it inside your perimeter.
Want to explore our platform, or have questions? Start the conversation now at hello [at] scrydon.com.
Analytics
Revenue Overview — Q2 2026
Live
Revenue
€4.2M
+12%
Pipeline
€11.7M
+8%
Churn
2.1%
−0.3pp
Monthly RevenueJan – Dec 2025
JanMarJunSepDec
Semantic Context Map
Syncing
Data sitting in warehouses and dashboards that nobody reads is data they can't use. The Analytics layer changes that — giving the right people the right information without them having to ask for it. Every metric is anchored to the Cognitive Enterprise ontology, so a revenue figure doesn't arrive in isolation. Data in context — not just in dashboards.
Decision-makers get a live view of the enterprise — financial performance, operational health, procurement status — without waiting for a data team to prepare a report.
- Interactive notebooks: Python and SQL environments with full access to your lakehouse data — no data movement required.
- Visual dashboards: Pre-built, always-current reporting updated automatically as the business moves — no manual refresh, no stale numbers.
- Agent-native analytics: AI agents can query, summarise, and act on insights autonomously — closing the loop between analysis and action.
Want to explore our platform, or have questions? Start the conversation now at hello [at] scrydon.com.
Cortex
Connected to ontology
Show me anomalies in Q2 supply chain data
Scanning Supplier ontology…
Found 3 anomalies. Supplier B delivery gap: +14 days.
Create a resolution workflow and escalate to procurement
Workflow created and assigned to procurement team.
Executed: Notify + Task #SC-421
What is our current contract coverage for Supplier B?
Contract SC-2024-B expires in 47 days. Coverage: 62%.
Queried: Knowledge Graph → Contract
Schedule a renewal reminder for 30 days out
Reminder scheduled. Owner notified.
Created: Calendar event + Alert #SC-422
Ask anything about your enterprise…
Cortex is the natural language interface that bridges human conversation and the full capabilities of the AI OS. Speak to your data, trigger complex workflows, and interrogate your knowledge graph — all in plain language, with no technical barrier.
- Ontology-aware: Understands the structure of your enterprise knowledge graph, enabling precise, context-sensitive answers.
- Workflow triggers: Describe what you want to happen and Cortex automatically routes the request to the right Human + AI Orchestrator processes.
- Multi-modal input: Accepts text, documents, and structured data, grounding responses in your actual enterprise data rather than generic LLM knowledge.
- Audit trail: Every conversation is logged, attributable, and reviewable — giving regulated industries the record their compliance teams need.
Want to explore our platform, or have questions? Start the conversation now at hello [at] scrydon.com.
Cognitive Enterprise
Customer
Account
Order
Product
Contract
LineItem
Supplier
Billing
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Ontology & Semantic Layer, one connected model for your data, knowledge & processes
Most organisations have data they can't use — not because it doesn't exist, but because nothing connects it. The Cognitive Enterprise layer is the defining intelligence of the AI OS: a living, queryable semantic model of your organisation's entities, processes, and rules. It is the single source of truth that allows every agent, analyst, and workflow to reason about your business with a consistent understanding.
Without it, AI agents reason on noise. With it, they reason on the business.
- Entity graph: Model customers, accounts, orders, products, and any domain concept — then connect them with typed, traversable relationships.
- Process integration: Link real-world workflows to ontology entities so agents understand how data flows through your business.
- Continuous enrichment: Agents automatically enrich ontology nodes with fresh data from the lakehouse, keeping the model current without manual effort.
Want to explore our platform, or have questions? Start the conversation now at hello [at] scrydon.com.
Observability
Full-stack monitoring & alerting
Zero-Trust
Continuous verification
Automation
GitOps & policy-as-code
Key Management
HSM-backed secrets
Kubernetes
Sovereign cluster orchestration
Identity
Federated IAM (SAML/OIDC)
The AI OS only works if it can be trusted. Every layer of the platform rests on a zero-trust infrastructure and identity foundation that operates consistently from fully air-gapped on-premises deployments through to hyperscale cloud environments. Sovereignty is not a feature added on top — it is the condition under which everything else operates.
- Zero-trust architecture: Continuous verification for every request, every user, and every workload — no implicit trust, even inside the perimeter.
- Federated identity: Seamless integration with your existing IdP (SAML, OAuth 2.0, OIDC) for unified, policy-enforced access control.
- Air-gapped deployment: Run the complete platform with no external network dependencies — ideal for defence, critical national infrastructure, and classified workloads.
- Confidential computing: Hardware-level encryption of data in use via AMD SEV-SNP and Intel TDX on supported platforms, protecting workloads even from infrastructure administrators.
Deployment Options: From Air-gapped to Cloud
Deploy the Scrydon platform where it makes sense for you — from air-gapped environments to public cloud — with sovereignty, compliance, and auditability built in.
Deployed on-premises, air-gapped or in a sovereign cloud, no data leaves your jurisdiction. No black-box AI. No compromises on control.
This is sovereignty by design.
Prefer to write? Email hello [at] scrydon.com and we will get back to you.
How Scrydon compares
Unlike traditional platforms, we prioritize frontier sovereignty and independence above all.
| Feature | SCRYDONSovereign Platform | N8N | Databricks | OSSRoll-your own |
|---|---|---|---|---|
| Enterprise AI Chat | ✓ | ✗ | ✗ | Depends |
| Agentic Flows | ✓ | ✓ | ✗ | Depends |
| Observability | ✓ | ✗ | ✗ | Depends |
| Lakehouse | ✓ | ✗ | ✓ | Depends |
| Notebooks | ✓ | ✗ | ✓ | Depends |
| Advanced Identity support | ✓ (Federated, Jurisdiction-aware) | ✗ | ✓ (Enterprise IAM) | Depends |
| Native Deployment methods | ✓ Air-gapped, On-premise, European Cloud Providers, Confidential Compute, Azure | Self-hosted, N8N Cloud | Azure, Confidential Compute (with significant limitations) | Self-hosted |
| Deploy in Minutes | ✓ | ✓ | ✓ | ✗ (Complex setup) |
Upcoming Events
Join us for webinars, training sessions, and community events
webinarfreeonline
Scale – From personal AI to organisational AI: why copilots plateau, and what an AI operating system changes
13 Oct 2026, 09:00
Part 4 of the Sovereign AI series, for CIOs, COOs and the people who own processes and AI Centres of Excellence — in any sector. Personal AI raises the productivity of a person; organisational AI changes the outcome of a process. The gap is not a better model but four missing things: shared context (an ontology, not each person's chat history), governed action (agents that act on systems under policy), identity and permissions that follow the work across teams, and evidence a board or regulator will accept. A live contrast between a personal assistant and the AI OS on the same question, then one end-to-end process run by agents with people in the loop.
webinarfreeonline
Ground – Beyond the lakehouse: the ontology as the data layer AI & humans can actually use
29 Oct 2026, 10:00
Part 5 of the Sovereign AI series, for CDOs, heads of data and analytics, and data architects — in any sector. The lakehouse gave you governed storage on open formats: table-shaped, read by analysts. Agents, and increasingly analysts, reason over meaning — entities, relationships, state and rules that people, applications and AI read from and write back to. That is an operational ontology, and it is not a semantic layer or a knowledge graph. Live: the same business question answered by vector RAG over documents and by ontology RAG over the model, side by side with provenance; then an agent writing back through the ontology to an operational system under policy. And the migration path from an existing lakehouse — what you keep, what you add, what you never move.
Insights
Latest insights
Perspectives on sovereign AI, agentic workflows and European data strategy from the Scrydon team.
· Nathan Bijnens
Dependency Is Not Dependence
Scrydon joined NVIDIA Inception this month. For a company that sells sovereign AI, that needs a sentence of explanation, and the sentence is this: a supplier you buy from is a dependency; a service you cannot operate without is dependence. Sovereignty is about the second, not the first — and most procurement checklists confuse them.
Read article· Cornelia Kutterer
Scrydon position on the Cloud and AI Development Act
Scrydon position on the Cloud and AI Development Act — COM(2026) 502 final, 2026/0138(COD).
Read articlePartners
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