DEPLOY ANYWHERE - From Air-gapped to Public Cloud

We make your organisation's processes
Agentic

Empower your organisation with European-native Agentic AI, Analytics, and Data Spaces, rooted in open-source. It fuels frontier innovation and choice; built for air-gapped, on-premise, and cloud environments. Achieve compliance, sovereignty, and frontier innovation without compromise.

Unified Sovereign Data & AI Platform

A full-stack, integrated architecture designed for strategic autonomy and actionable intelligence.

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The AI OS for Humans & AI Agents to enable your processes

In [1]:
import pandas as pd
df.plot.bar()
Conversational Intelligence: Natural language interface that seamlessly connects your ontology, multi-modal data, and sovereign workflows.
Build a supply chain disruption workflow
Linked Supplier. Ready for execution.
Customer
Account
Order
Product
Contract
LineItem
Supplier
Billing
holds
placed
of

Link your processes, knowledge & data to ontologies.

Unified storage, structured compute, and secure multi-modal data processing.

TablesKnowledge

Autonomous operatives with specialised skills executing tasks across systems.

AI Workflows

Sovereign pipelines, federated APIs, and seamless connector meshes.

Secure domain federation, trusted data sharing, and cross-boundary intelligence.

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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Sync CRM
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Welcome

The AI OS for Humans & AI Agents to enable your processes

The Human + AI Orchestrator is the operational runtime at the heart of the AI 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.

Insights

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
MetricRegionAccountRepProductOrderOntology

Data sitting in warehouses and dashboards that nobody reads is data they can't use. The Insights 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 — meeting compliance requirements for regulated industries.

Want to explore our platform, or have questions? Start the conversation now at hello [at] scrydon.com.

Copilot
C
Claude
Perplexity

Your people are already great, and they likely already use powerful personal AI tools like Copilot, Claude, or ChatGPT. The problem is these tools operate in a vacuum. They don't understand your business, they lack access to your cognitive enterprise knowledge base, and feeding them corporate data introduces massive sovereignty risks.

Instead of trying to replace the tools your workforce already loves, we make them smarter and safer. The AI OS acts as a secure bridge that safely exposes your enterprise knowledge graph to these external assistants — without exposing your internal AI models or raw data infrastructure.

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
holds
placed
of

Link your processes, knowledge & data to ontologies.

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.

Lakehouse
Tables
Knowledge
High-Performance OLAP Engine
Real-time SQLVector SearchFast JoinsMaterialised Views
Storage & Ingestion
Open Table FormatsStreamingBatch Files

The Lakehouse is the high-performance data foundation underpinning the Cognitive Enterprise. Built on StarRocks, it merges the flexibility of a data lake with the speed of a warehouse — unifying structured tables and unstructured AI knowledge under a single, sovereign roof.

  • Open Storage: Native support for open table formats, ensuring your data remains yours without proprietary lock-in.
  • Lightning OLAP: Real-time SQL, fast joins, and materialised views power everything from dashboards to agent reasoning without data duplication.
  • Integrated Vector Search: Store and query embeddings alongside traditional data, making the Lakehouse instantly ready for AI workloads.

Want to explore our platform, or have questions? Start the conversation now at hello [at] scrydon.com.

Agent Workflow Runtime
Vendor Invoice Received
Analyze & Cross-checkData Extraction Agent
Ontology
Confidence > 95%?
NO
YES
Human ApprovalFinance Team
Execute PaymentERP Integration

Agentic AI transforms frontier models from isolated chatbots into true autonomous operatives of the AI OS. Instead of merely generating text, these agents are purpose-built to execute the tasks your people shouldn't handle manually — reasoning, planning, and taking action across complex, multi-step processes.

The AI OS relies on a foundation of both creativity and control to deploy autonomous agents effectively:

  • AI Workflows as a Foundation: The core of the AI OS is built on orchestrated AI workflows that safely link frontier models, internal tools, and enterprise memory.
  • Deterministic and Non-Deterministic Flows: By combining the reasoning capabilities of frontier AI with strict, deterministic workflows, the AI OS guarantees both adaptability and absolute predictability in business-critical processes.
  • Autonomous Execution: Agents act autonomously within defined boundaries, retrieving context from your data lakehouse and executing actions via approved tools.

Deployed securely inside your infrastructure, these agents tap into your cognitive enterprise to act decisively. Strict, policy-based guardrails keep them firmly within the boundaries your organisation defines, ensuring a perfect balance between productivity and enterprise-grade security.

Want to explore our platform, or have questions? Start the conversation now at hello [at] scrydon.com.

Integration Mesh
ERP
CRM
IoT
Files
Events
APIs
Platform
Sovereign
Pipelines
Agents
Insights
Workflows
Partner APIs

Broken processes live in the gaps between systems. The Integrations layer of the AI OS closes those gaps, connecting securely and seamlessly to the operational tools you already rely on.

We provide a vast library of built-in integrations for immediate connectivity to standard CRMs, databases, and enterprise applications.

To ensure maximum flexibility, the platform natively supports open standards—including OpenAPI, MCP, and A2A. This standard-first architecture makes it incredibly easy to build and deploy custom integrations, allowing the full platform to interact with any proprietary system or specialized tool within your infrastructure.

Want to explore our platform, or have questions? Start the conversation now at hello [at] scrydon.com.

Federated Data Exchange
Organisation A
Data Owner
IDSAProtocol
Organisation B
Data Consumer
Usage Policies EnforcedNo Central BrokerCryptographic AttestationGDPR Compliant
Gaia-X · IDSA · Eclipse Dataspace Components

Data Spaces enable trusted, governed data sharing between organisations without requiring centralised aggregation or relinquishing ownership. Built on IDSA and Gaia-X principles, they allow cross-boundary collaboration whilst preserving every participant's sovereignty.

  • Usage policies: Define exactly how, when, and by whom shared data may be used — enforced cryptographically, not by trust alone.
  • Federated identity: Participants are verified through trusted identity registries, ensuring only authorised organisations access shared assets.
  • No central broker: Data exchanges are peer-to-peer with protocol-level governance — no single party holds privileged access to the exchange.

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 SGX, protecting workloads even from infrastructure administrators.

Deployment Options: From Air-gapped to Cloud

Email us

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.

FeatureSCRYDONSovereign PlatformN8NDatabricksOSSRoll-your own
Enterprise AI ChatDepends
Agentic FlowsDepends
ObservabilityDepends
LakehouseDepends
NotebooksDepends
Advanced Identity support✓ (Federated, Jurisdiction-aware)✓ (Enterprise IAM)Depends
Native Deployment methods✓ Air-gapped, On-premise, European Cloud Providers, Confidential Compute, AzureSelf-hosted, N8N CloudAzure, Confidential Compute (with significant limitations)Self-hosted
Deploy in Minutes✗ (Complex setup)

Partners

Building the future of Data & AI together with leading innovators. Learn more .

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