# Scrydon

> Scrydon is a European, sovereign AI Operating System and ontology-based data platform that brings the right context to the right agent, system, or person at the right time — running identically from air-gapped on-premises to hyperscale cloud, so organisations keep full control of their data, models, and workloads.

Scrydon empowers organisations with secure, sovereign AI and data platforms. The platform is built process-first: it starts from your business processes, routes each step to the right actor — an existing system, an AI agent, or a person — and grounds every action in a shared ontology, all on a zero-trust, sovereign foundation. The pages below define the core concepts of the platform and link to recent insights.

## Platform

- [Integrations](https://scrydon.com/platform/ai-os/integrations/): AI OS integrations connect agents and AI workflows to the tools, systems, and data they need to act on — through the Model Context Protocol (MCP), Agent-to-Agent (A2A), and hundreds of pre-built connectors.
- [Integrations](https://scrydon.com/platform/analytics/integrations/): Analytics integrations connect hundreds of data sources — databases, data warehouses, SaaS applications, object storage, streaming feeds and flat files — into the governed lakehouse with incremental ingestion.
- [Sovereign AI](https://scrydon.com/platform/ai-os/sovereign-ai/): Sovereign AI is model-agnostic AI run entirely inside your own perimeter — not tied to any single model or vendor.
- [AI Governance](https://scrydon.com/platform/ai-os/ai-governance/): AI governance is the set of controls that keep an organisation in command of how AI uses its data and acts on its systems — data loss prevention, policy enforcement, identity and access control, audit, and human oversight.
- [Enterprise RAG](https://scrydon.com/platform/ai-os/rag/): Enterprise RAG (retrieval-augmented generation) is the technique of grounding AI answers in an organisation's own data — retrieving relevant facts from its knowledge bases, ontology, and lakehouse before the model responds.
- [Ontology RAG vs Traditional RAG](https://scrydon.com/platform/ai-os/rag/ontology-vs-traditional-rag/): Ontology RAG is retrieval-augmented generation grounded in an ontology and knowledge graph rather than a flat vector store.
- [AI Agent Memory](https://scrydon.com/platform/ai-os/rag/agent-memory/): AI agent memory is the mechanism by which an agent retains and recalls information beyond a single context window — what a user told it, what it did, and what it learned.
- [Model Context Protocol (MCP)](https://scrydon.com/platform/ai-os/mcp/): The Model Context Protocol (MCP) is an open standard that lets AI agents connect to tools, data, and systems through a single, consistent interface.
- [AI Gateway](https://scrydon.com/platform/ai-os/ai-gateway/): The Scrydon AI Gateway is a single governed endpoint that speaks the standard model APIs — Anthropic Messages, OpenAI Chat Completions, OpenAI Responses and Gemini — so existing tools reach any model through it without modification.
- [Agent2Agent (A2A)](https://scrydon.com/platform/ai-os/a2a/): Agent2Agent (A2A) is an open standard for agent-to-agent interoperability — originally introduced by Google and now under the Linux Foundation — that lets AI agents from different frameworks and vendors discover each other and collaborate on tasks securely.
- [AI Observability](https://scrydon.com/platform/ai-os/observability/): AI observability (also called LLM observability) is the monitoring, tracing, evaluation, and audit of AI agents and workflows in production.
- [AI Agent Orchestration](https://scrydon.com/platform/ai-os/orchestration/): AI agent orchestration is the runtime discipline of coordinating multiple AI agents — plus the existing systems and people they depend on — so tasks are routed to the right agent, dependent steps run in the right sequence, and handoffs between agents are resolved reliably.
- [Enterprise AI](https://scrydon.com/platform/ai-os/enterprise-ai/): Enterprise AI is artificial intelligence applied to how a business actually runs — automating processes, supporting decisions, and acting on business data — with the accuracy, governance, and auditability a business context demands.
- [Organisational AI](https://scrydon.com/platform/ai-os/organisational-ai/): Organisational AI is AI operated at the level of the whole organisation — coordinated across its processes, systems, and people — rather than as personal productivity tools that make one person faster at one task.
- [No-Code AI Agents](https://scrydon.com/platform/ai-os/agentic-ai/no-code/): No-code AI agent workflows let business users and analysts build, connect, and deploy AI agents through a visual, drag-and-drop builder instead of writing orchestration code.
- [AI Sandbox](https://scrydon.com/platform/ai-os/agentic-ai/ai-sandbox/): An AI sandbox is the isolation boundary an AI agent's reasoning, tool, and shell loop runs inside.
- [Agentic OS](https://scrydon.com/platform/ai-os/agentic-os/): An agentic OS (agentic operating system) is the runtime that AI agents run inside: it gives each agent a real identity, schedules and orchestrates its work, holds its memory, mediates every tool and data call against policy, isolates its execution, and records what it did.
- [Air-Gapped AI](https://scrydon.com/platform/ai-os/air-gapped-ai/): Air-gapped AI runs the model serving, retrieval and agent execution layers entirely inside a network with no route to the public internet.
- [Shadow AI](https://scrydon.com/platform/ai-os/ai-governance/shadow-ai/): Shadow AI is AI tooling and autonomous agents used across an organisation outside IT and governance oversight — personal chatbot accounts, unsanctioned copilots, and unmanaged scripts calling LLM APIs directly.
- [Sovereign Foundations](https://scrydon.com/platform/sovereign-infra/): Sovereign infrastructure is the zero-trust foundation the AI OS runs on: continuous verification of every request, federated identity, and confidential computing, delivered identically from air-gapped on-premises deployments through to hyperscale cloud — so you keep full control of your data, models, and workloads.
- [Confidential Compute](https://scrydon.com/platform/sovereign-infra/confidential-compute/): Confidential compute runs AI workloads inside hardware-based Trusted Execution Environments (TEEs) so data and models stay encrypted in memory during processing — not only at rest and in transit.
- [On-Premises](https://scrydon.com/platform/sovereign-infra/on-prem/): On-premises AI & data means running the entire platform — models, agents, ontology, and analytics — on infrastructure you own and operate, inside your own datacentre or edge location.
- [Air-Gapped](https://scrydon.com/platform/sovereign-infra/air-gapped/): Air-gapped AI & data means running the entire platform — models, agents, ontology, and analytics — inside a network that is physically or logically isolated from the public internet.
- [Identity](https://scrydon.com/platform/sovereign-infra/identity/): Sovereign identity is the federated identity and access foundation of the AI OS: every human, AI agent, and workload is authenticated through your own identity provider and authorised per action under zero-trust policy, with complete, attributable audit trails — so AI agents act under the same governed identity model as people.
- [AI Agent Identity](https://scrydon.com/platform/sovereign-infra/identity/agent-identity/): AI agent identity is the practice of issuing every autonomous AI agent its own distinct, verifiable identity — separate from any human user or shared service account — so its permissions can be scoped to least privilege, its calls to other agents and tools can be authenticated, and every action it takes is attributable to that identity and the authority under which it acted.
- [Sovereign Cloud](https://scrydon.com/platform/sovereign-infra/cloud/): Sovereign cloud means running the AI OS on cloud infrastructure while keeping full control of your data, models, encryption keys, and jurisdiction.
- [AI on Azure](https://scrydon.com/platform/sovereign-infra/cloud/azure/): Sovereign AI on Azure means running the AI OS on Microsoft Azure as a cloud deployment target while keeping sovereignty controls in place: EU data residency aligned with the Microsoft EU Data Boundary, customer-held encryption keys (BYOK/HYOK), zero-trust access, and confidential computing available — so you reach hyperscale capacity while your data, models, and keys stay under your control.
- [Cloud Temple](https://scrydon.com/platform/sovereign-infra/cloud/cloud-temple/): AI on Cloud Temple means deploying the AI OS on Cloud Temple, a French cloud provider whose cloud is qualified SecNumCloud by ANSSI — France's national cybersecurity agency.
- [AI & Data on Azure Local](https://scrydon.com/platform/sovereign-infra/on-prem/azure-local/): AI & data on Azure Local means running AI and analytics workloads on Microsoft's Azure Local (formerly Azure Stack HCI) — Azure-consistent infrastructure deployed in your own datacentre or edge location — so data and models stay physically within your perimeter and under your control, with Trusted-launch VM integrity and boot attestation available on your own hardware.
- [Confidential Compute on Azure](https://scrydon.com/platform/sovereign-infra/confidential-compute/azure/): AI on confidential compute on Azure means running AI workloads inside hardware-based Trusted Execution Environments — Azure confidential VMs and GPUs built on AMD SEV-SNP and Intel TDX — so data and models stay encrypted in memory during processing, shielded even from Microsoft and privileged administrators, with remote attestation proving the environment's integrity.
- [Analytics](https://scrydon.com/platform/analytics/): Scrydon Analytics is the self-service analytics layer that lets business users and analysts get answers without waiting on a data team.
- [Ontology Based Data Platform](https://scrydon.com/platform/analytics/ontology-based-data-platform/): An ontology based data platform is a semantic data platform that unifies an organisation's data into a living, queryable semantic model — a graph of entities, relationships, and rules layered over your existing data.
- [Enterprise Knowledge Graph](https://scrydon.com/platform/analytics/enterprise-knowledge-graph/): An enterprise knowledge graph is a governed, queryable network of an organisation's entities — customers, products, assets, contracts — and the typed relationships between them, layered over existing systems and data.
- [Semantic Layer](https://scrydon.com/platform/analytics/semantic-layer/): A semantic layer is a governed layer of business meaning — metrics, dimensions, and entity definitions — placed on top of raw and lakehouse data, so every tool and person that queries it gets the same answer.
- [AI-Ready Data](https://scrydon.com/platform/analytics/ai-ready-data/): AI-ready data is data that AI agents and retrieval systems can trust and act on without manual cleanup: entities defined once against a shared ontology, relationships made explicit, lineage and provenance tracked back to source, access governed per identity, and freshness maintained continuously rather than refreshed on a batch schedule.
- [Data Fusion](https://scrydon.com/platform/analytics/data-fusion/): Data fusion is the real-time combination of multiple, heterogeneous data sources — sensor feeds, telemetry, documents, transactions — into a single, coherent, ontology-grounded picture, so agents and analysts reason over one consistent view instead of reconciling separate streams themselves.
- [Notebooks](https://scrydon.com/platform/analytics/notebooks/): Notebooks are interactive Python environments running inside the platform on per-session isolated compute, reading governed, ontology-grounded data through the same permissions as every other workload, with reproducible dependencies and no persistent runtime to compromise.
- [Data Governance](https://scrydon.com/platform/analytics/data-governance/): Data governance is the discipline of cataloging, classifying, tracing, and controlling access to an organisation's data so it can be trusted and safely used.
- [Lakehouse](https://scrydon.com/platform/analytics/lakehouse/): The Lakehouse is the high-performance data foundation of the platform.
- [Data Spaces](https://scrydon.com/platform/analytics/data-spaces/): Data Spaces are governed, federated environments for sharing and exchanging data across organisational boundaries without surrendering ownership or control.
- [Cortex](https://scrydon.com/platform/cortex/): Cortex is Scrydon's sovereign conversational intelligence platform: a natural-language interface to the AI OS.
- [Cognitive Enterprise](https://scrydon.com/platform/cognitive-enterprise/): The Cognitive Enterprise is the layer that links an organisation's ontology, knowledge bases, and data lakes into a single connected model — the grounding foundation for enterprise AI.
- [Digital Twin](https://scrydon.com/platform/cognitive-enterprise/digital-twin/): A digital twin of the business is a live, queryable model of an organisation's real-world entities, assets, and operations — built on the ontology and continuously synchronised with the systems that generate the underlying data.
- [Decision Intelligence](https://scrydon.com/platform/cognitive-enterprise/decision-intelligence/): Decision intelligence is the governed layer that turns insight from your ontology and analytics into operational decisions, and connects those decisions to the agents and workflows that carry them out.
- [AI OS](https://scrydon.com/platform/ai-os/): An AI OS (AI Operating System) — also called an Agentic OS — is the runtime that brings the right context to the right agent, system, or person at the right time.
- [Agentic AI Platform](https://scrydon.com/platform/ai-os/agentic-ai/): An agentic AI platform is the software foundation for building, deploying, and governing autonomous AI agents that can reason, plan, and act on real enterprise systems.
- [SAP Joule Alternative](https://scrydon.com/platform/compare/sap-joule-alternative/): Scrydon is a sovereign alternative to SAP Joule: where Joule is centred on SAP and runs on SAP-operated infrastructure, Scrydon is cross-system organisational AI that reasons over all your data — not just SAP — through a unified business ontology.
- [n8n Alternative](https://scrydon.com/platform/compare/n8n-alternative/): Scrydon is a sovereign alternative to n8n: rather than a general workflow-automation tool with AI nodes added, it is an agentic AI platform where workflows are grounded in your business ontology and governed by federated identity, policy-as-code, audit, and data loss prevention.
- [Microsoft Fabric Alternative](https://scrydon.com/platform/compare/microsoft-fabric-alternative/): Scrydon is a sovereign alternative to Microsoft Fabric: a first-class, organisation-wide business ontology you run inside your own perimeter.
- [Palantir Foundry Alternative](https://scrydon.com/platform/compare/palantir-foundry-alternative/): Scrydon is a sovereign alternative to Palantir Foundry: an ontology based data platform that unifies your data into a living, business-level semantic model and grounds AI agents in it — but runs inside your own perimeter on open table formats, from air-gapped on-premises to cloud.
- [Palantir AIP Alternative](https://scrydon.com/platform/compare/palantir-aip-alternative/): Scrydon is a sovereign alternative to Palantir AIP: a model-agnostic organisational AI OS that grounds agents in a first-class business ontology and runs inside your own perimeter, from air-gapped on-premises to cloud, EU-domiciled and operated under EU jurisdiction.
- [Snowflake Alternative](https://scrydon.com/platform/compare/snowflake-alternative/): Scrydon is a sovereign alternative to Snowflake: an ontology based data platform that pairs an open lakehouse with a first-class business ontology and a governed agentic layer — and runs inside your own perimeter, from air-gapped on-premises to cloud, EU-domiciled and operated under EU jurisdiction.
- [Dataiku Alternative](https://scrydon.com/platform/compare/dataiku-alternative/): Scrydon is a sovereign alternative to Dataiku: where Dataiku is a data science and machine-learning platform that has grown a generative-AI and agent toolkit, Scrydon is an organisational AI OS that runs governed agents on a first-class business ontology and an open lakehouse — model-agnostic, inside your own perimeter from air-gapped on-premises to cloud, EU-domiciled and operated under EU jurisdiction.
- [C3 AI Alternative](https://scrydon.com/platform/compare/c3-ai-alternative/): Scrydon is a sovereign alternative to C3 AI: where C3 AI is a US enterprise-AI vendor offering a proprietary platform and a suite of prebuilt applications, Scrydon is a European, open, model-agnostic AI OS that runs governed agents on a first-class business ontology and open lakehouse — inside your own perimeter from air-gapped on-premises to cloud, EU-domiciled and operated under EU jurisdiction.
- [Microsoft 365 Copilot vs Organisational AI](https://scrydon.com/platform/compare/microsoft-copilot-vs-organisational-ai/): Microsoft 365 Copilot is powerful AI hosted in the Microsoft cloud: it makes individuals faster and, through Copilot Studio and Agent 365, can automate tasks and govern agents within the Microsoft and Entra estate.
- [Databricks Alternative](https://scrydon.com/platform/compare/databricks-alternative/): Scrydon is a sovereign alternative to Databricks: an ontology based data platform that pairs an open lakehouse with a first-class business ontology and a semantic layer.
- [Cohere Alternative](https://scrydon.com/platform/compare/cohere-alternative/): Scrydon is a sovereign alternative to Cohere: where Cohere runs its agentic workspace (North) and enterprise search (Compass) on its own models, Scrydon is a model-agnostic organisational AI OS grounded in a first-class business ontology.
- [Wonderful Alternative](https://scrydon.com/platform/compare/wonderful-alternative/): Scrydon is an alternative to Wonderful for organisations that want their agents grounded in a shared business ontology rather than assembled per use case.
- [LiteLLM Alternative](https://scrydon.com/platform/compare/litellm-alternative/): The Scrydon AI Gateway is a sovereign alternative to LiteLLM: a single governed endpoint that speaks the standard model APIs — Anthropic Messages, OpenAI Chat Completions, OpenAI Responses and Gemini — so existing tools reach any model unchanged, but where every call runs under the caller's own federated identity rather than a virtual key, against a clearance-gated model allowlist, with data loss prevention, a spend cap and an immutable audit trail.
- [Bifrost Alternative](https://scrydon.com/platform/compare/bifrost-alternative/): The Scrydon AI Gateway is a sovereign alternative to Bifrost: a single governed endpoint that speaks the standard model APIs so existing tools reach any model unchanged, where every call runs under the caller's own federated identity rather than a virtual key, against a clearance-gated model allowlist, with data loss prevention, a spend cap and an immutable audit trail — at single-digit millisecond gateway overhead.
- [Azure API Management Alternative](https://scrydon.com/platform/compare/azure-api-management-alternative/): The Scrydon AI Gateway is a sovereign alternative to Azure API Management's AI gateway: a single governed endpoint that speaks the standard model APIs — Anthropic Messages, OpenAI Chat Completions, OpenAI Responses and Gemini — so existing tools reach any model unchanged, where every call runs under the caller's own federated identity, against a clearance-gated model allowlist, with data loss prevention, a spend cap and an immutable audit trail.
- [Portkey Alternative](https://scrydon.com/platform/compare/portkey-alternative/): The Scrydon AI Gateway is a sovereign alternative to Portkey: a single governed endpoint that speaks the standard model APIs so existing tools reach any model unchanged, where every call runs under the caller's own federated identity rather than a virtual key, against a clearance-gated model allowlist, with data loss prevention, a spend cap and an immutable audit trail.
- [Kong AI Gateway Alternative](https://scrydon.com/platform/compare/kong-ai-gateway-alternative/): The Scrydon AI Gateway is a sovereign alternative to Kong AI Gateway: a single governed endpoint that speaks the standard model APIs so existing tools reach any model unchanged, where every call runs under the caller's own federated identity rather than an API consumer credential, against a clearance-gated model allowlist, with data loss prevention, a spend cap and an immutable audit trail.
- [OpenRouter Alternative](https://scrydon.com/platform/compare/openrouter-alternative/): The Scrydon AI Gateway is a sovereign alternative to OpenRouter: a single governed endpoint that speaks the standard model APIs so existing tools reach any model unchanged, deployed inside the organisation's own perimeter rather than as a hosted service, where every call runs under the caller's own federated identity, against a clearance-gated model allowlist, with data loss prevention, a spend cap and an immutable audit trail, and where model spend stays on the organisation's own vendor contracts.
- [Cloudflare AI Gateway Alternative](https://scrydon.com/platform/compare/cloudflare-ai-gateway-alternative/): The Scrydon AI Gateway is a sovereign alternative to Cloudflare AI Gateway: a single governed endpoint that speaks the standard model APIs so existing tools reach any model unchanged, deployed inside the organisation's own perimeter rather than at a provider's edge, where every call runs under the caller's own federated identity, against a clearance-gated model allowlist, with data loss prevention, a spend cap and an immutable audit trail, sharing one policy and one audit chain with governed tool calls and sandbox egress.
- [Helicone Alternative](https://scrydon.com/platform/compare/helicone-alternative/): The Scrydon AI Gateway is a sovereign alternative to Helicone: a single governed endpoint that speaks the standard model APIs so existing tools reach any model unchanged, where every call runs under the caller's own federated identity rather than a key with caller-supplied properties, against a clearance-gated model allowlist, with data loss prevention, a spend cap and an immutable audit trail — and with spend, calls, tokens and carbon reported per person, model, capability and workflow.

## Industries

- [Industries](https://scrydon.com/industry/): Sovereign AI for digital critical infrastructure — the sectors that cannot let data leave the perimeter.
- [Defence](https://scrydon.com/industry/defence/): Empower decisive action with trusted, autonomous Data & AI.
  - [NATO & Allied Interoperability](https://scrydon.com/industry/defence/nato-interoperability/): For NATO and allied forces, Scrydon is the sovereign AI and data platform that aligns national data to shared models, fuses it into a common operating picture with per-nation releasability, orchestrates agents across domains and nations, and turns exercises into structured, comparable lessons, all on infrastructure the host nation controls.
  - [Defence Departments & Organisations](https://scrydon.com/industry/defence/defence-departments/): For defence departments and organisations, Scrydon is the sovereign AI and data platform that runs governed agents and analytics across the defence back office, grounded in one ontology of units, assets, personnel and contracts, on classified and air-gapped networks, with legacy systems wrapped rather than replaced and every action attributed to an accountable person.
  - [During Missions](https://scrydon.com/industry/defence/during-missions/): During missions, Scrydon is the sovereign AI and data platform that fuses sensor, intelligence, geospatial and logistics feeds into a common operational picture on a battlespace ontology, keeps a live digital twin of units, assets and terrain, and orchestrates ISR, cyber, fires and logistics agents into one deconflicted plan for command approval, on air-gapped networks at headquarters or deployed.
  - [Defence Industrial Base](https://scrydon.com/industry/defence/defence-industrial-base/): For the defence industrial base, Scrydon is the sovereign AI and data platform that runs export-control-aware knowledge assistants, programme digital threads and supply-chain knowledge graphs inside the company's own infrastructure, with classification and export markings enforced at every retrieval and every action logged.
- [Government](https://scrydon.com/industry/government/): Private AI & Data for modern public services.
  - [EU Institutions, Bodies & Agencies](https://scrydon.com/industry/government/eu-institutions/): For the institutions, bodies and agencies of the European Union, Scrydon is the European-native sovereign AI and data platform that runs multilingual models, agents and analytics on the Union's own infrastructure, including EU-classified networks, with policy, identity and audit built to the standard of the EU AI Act and the supervision of the European Data Protection Supervisor.
  - [National & Federal Government](https://scrydon.com/industry/government/national-government/): For national and federal government, Scrydon is the sovereign AI and data platform that runs models, agents and analytics on ministerial and agency data inside state-controlled infrastructure, including fully air-gapped classified networks, and lets ministries share governed data products without any of them giving up control.
  - [Local & Municipal Government](https://scrydon.com/industry/government/local-government/): For local and municipal government, Scrydon is the sovereign AI and data platform that runs citizen-facing assistants, case automation and infrastructure analytics on the municipality's own regulations and data, inside infrastructure it controls, with the human decision and the transparency record the EU AI Act asks of a public authority.
  - [Police & First Responders](https://scrydon.com/industry/government/police-and-first-responders/): For police and first responders, Scrydon is the sovereign AI and data platform that runs case analysis, dispatch support and multi-agency incident pictures inside the service's own infrastructure, with every AI action attributed, logged and subject to human decision, as the Law Enforcement Directive and the EU AI Act's high-risk rules require.
- [Financial Services](https://scrydon.com/industry/fsi/): Transform financial workflows with Data & AI.
  - [Banking](https://scrydon.com/industry/fsi/banking/): For banks, Scrydon is the sovereign AI and data platform that unifies core, card, onboarding and case data in one financial ontology, runs real-time fraud, financial crime and credit models and agents on it inside the bank's own infrastructure, and produces the model-governance and audit records DORA, GDPR and the EU AI Act require.
  - [Insurance](https://scrydon.com/industry/fsi/insurance/): For insurers, Scrydon is the sovereign AI and data platform that unifies policy, claims, actuarial and external data in one insurance ontology, runs underwriting, claims and fraud models and agents on it inside the insurer's own infrastructure, and produces the model-governance, fairness and audit records DORA, GDPR, Solvency II and the EU AI Act require.
  - [Capital Markets](https://scrydon.com/industry/fsi/capital-markets/): For capital markets, Scrydon is the sovereign AI and data platform that fuses positions, market data, flows and reference data into one live financial ontology, runs risk, surveillance and decision-intelligence models and agents on it inside the firm's own perimeter, and keeps the versioned, attributed record that MiFID II, DORA and the EU AI Act expect.
- [Healthcare](https://scrydon.com/industry/healthcare/): Sovereign AI for better patient outcomes.
  - [Hospitals & Care Providers](https://scrydon.com/industry/healthcare/hospitals/): For hospitals and care providers, Scrydon is the sovereign AI and data platform that runs clinical decision support, patient-flow optimisation and care-coordination agents on one clinical ontology of patients, encounters, resources and pathways, inside the institution's own infrastructure, with the clinician deciding and an audit trail that satisfies GDPR and the EU AI Act's rules for medical use.
  - [Life Sciences](https://scrydon.com/industry/healthcare/life-sciences/): For life sciences, Scrydon is the sovereign AI and data platform that runs models, retrieval and agents on research, clinical and manufacturing data inside the organisation's own perimeter, with data-loss prevention on every prompt and output, egress controls on every outbound connection, study-scoped access, and an immutable audit trail that satisfies GDPR, the EU AI Act and the organisation's own IP policy.
  - [Public Health](https://scrydon.com/industry/healthcare/public-health/): For public health, Scrydon is the sovereign AI and data platform that lets authorities, agencies and insurers analyse population, claims and surveillance data across controllers through governed data spaces and federated analysis, run crisis and screening logistics on it, and report to regulators, all inside state-controlled infrastructure with a named legal basis on every query.
- [Critical Infrastructure](https://scrydon.com/industry/critical-infrastructure/): Resilient Data & AI for vital infrastructure.
  - [Utilities](https://scrydon.com/industry/critical-infrastructure/utilities/): For utilities, Scrydon is the sovereign AI and data platform that brings SCADA, metering, GIS and asset data into one governed model, runs forecasting and agents on it inside the operator's own infrastructure, and produces the incident, activation and audit records NIS2 and the regulator expect.
  - [Telecommunications](https://scrydon.com/industry/critical-infrastructure/telecommunications/): For telecommunications operators, Scrydon is the sovereign AI and data platform that models the network and its services as one graph, correlates alarms and predicts faults on it, runs subscriber-facing agents inside the operator's own infrastructure, and produces the incident and audit records NIS2 requires.
  - [Transport](https://scrydon.com/industry/critical-infrastructure/transport/): For transport, Scrydon is the sovereign AI and data platform that models the network's assets, systems and flows in one ontology, runs predictive maintenance, flow optimisation and incident-response agents on it inside the operator's own infrastructure, and produces the NIS2 incident and audit records the regulator expects.

## Insights

- [Enterprise AI Is Not a Bigger Copilot](https://scrydon.com/insights/2026/09/08/enterprise-ai-is-not-a-bigger-copilot/): The market defines enterprise AI as a scope.
- [Your AI Gateway Governs One Protocol. Your Developers Use Three.](https://scrydon.com/insights/2026/09/02/your-ai-gateway-governs-one-protocol/): AI gateways solved keys, routing and spend visibility — and they were right to.
- [Bun 1.4 at Scrydon: A Quiet Upgrade With Loud Early Numbers](https://scrydon.com/insights/2026/08/21/bun-1-4-at-scrydon/): Bun 1.4 — the first stable release after Bun's runtime was rewritten from Zig to Rust — shipped on 20 August.
- [Why, How, Prove, Scale, Ground: The Sovereign AI Series — Five Webinars, and the Reasoning Behind Them](https://scrydon.com/insights/2026/08/17/the-sovereign-ai-series-why-how-prove/): Between 3 September and 29 October we are running five 45-minute sessions, each for a different person in the same building: the executive who has to decide, the engineer who has to run it, the security officer who has to sign it off, the leader who has to make it how the organisation works — and the data leader whose lakehouse it all has to stand on.
- [The Harness Holds](https://scrydon.com/insights/2026/08/14/the-harness-holds/): This summer, frontier AI labs disclosed that models under evaluation escaped their sandboxes and reached real third-party infrastructure.
- [What Palantir Got Right With Ontologies](https://scrydon.com/insights/2026/07/24/what-palantir-got-right-with-ontologies/): Palantir put the ontology — not the LLM — at the centre of enterprise AI, and that architectural bet is being proven right.
- [Who Needs an AI OS?](https://scrydon.com/insights/2026/07/09/who-needs-an-aios/): Every organisation runs on processes.
- [Scrydon at VivaTech: Reflections on Sovereignty and the Cognitive Enterprise](https://scrydon.com/insights/2026/06/22/reflections-from-vivatech-sovereignty-and-the-cognitive-enterprise/): Reflections from VivaTech 2026 in Paris, days after a US 'killswitch' cut Europe off from frontier AI models.
- [Updated EU Cloud Sovereignty Calculator, aligning to the European Commission's scoring](https://scrydon.com/insights/2026/06/02/eu-cloud-sovereignty-calculator-updated/): Following the European Commission's publication of its Cloud Sovereignty Framework Implementation Guidance, we've updated our free sovereignty assessment calculator to reflect the full 48-criterion scoring model used in the Commission's own EUR 180 million cloud procurement.
- [Building the AI Assembly Line: How Scrydon's Cognitive Enterprise turns McKinsey's vision into Reality](https://scrydon.com/insights/2026/05/30/mckinsey-building-the-ai-assembly-line-with-cognitive-enterprise/): How Scrydon's Cognitive Enterprise implements McKinsey's AI assembly line for sovereign, regulated organisations.
- [The NSA Just Flagged MCP Security — Here's What It Means](https://scrydon.com/insights/2026/05/26/why-mcp-security-matters-agentic-workflows/): MCP's rapid adoption has outpaced its security model.
- [Reflections from NATO TIDE Sprint 44 in Istanbul: Building the Cognitive Alliance](https://scrydon.com/insights/2026/05/09/reflections-from-nato-tide-sprint-44-istanbul/): Key takeaways from NATO TIDE Sprint 44 in Istanbul — how AI, data fusion, agentic orchestration, and sovereign platforms are shaping the future of multi-domain operations.
- [Law & AI at UC Law SF: Governance, Power and the New Liability Map](https://scrydon.com/insights/2026/03/13/law-and-ai-at-uclaw-sf-governance-power-and-the-new-liability-map/): Law & AI at UC Law SF: Governance, Power and the New Liability Map
- [AI sovereignty is won in the execution layer](https://scrydon.com/insights/2026/02/24/middle-power-ai-sovereignty/): Middle powers don’t have to choose between US and Chinese AI stacks.
- [Hello World: Introducing Scrydon](https://scrydon.com/insights/2026/01/15/hello-world/): Welcome to Scrydon.

## Key pages

- [Scrydon home](https://scrydon.com/): Sovereign AI OS and data platform overview.
- [Sovereignty](https://scrydon.com/sovereignty/): Why and how Scrydon delivers European data and AI sovereignty.
- [Training](https://scrydon.com/training/): Training and enablement for the Scrydon platform.
- [Contact us](https://scrydon.com/contact-us/): Get in touch with the Scrydon team.