
AI you can trust.Intelligenceyou control.
The Sovereign Intelligence Platform for building, governing and operating AI across your organization — from infrastructure and data to models, agents, workflows and business solutions.
Trusted AI. Sovereign intelligence. Governed execution.
From AI infrastructure to intelligent execution
Control, then intelligence, then agency, execution and outcomes. One platform with several entry points, not a stack of separate tools.
- Infrastructure
- Data
- Intelligence
- Models
- Agents
- Workflows
- Outcomes
- 01
Sovereign Infrastructure
Control over where and how AI runs.
Entry pointsExplore the layer - 02
Data & Context
Give AI the context to understand the organization.
Explore the layer - 03
Intelligence & Models
Turn data and knowledge into useful intelligence.
Entry pointsExplore the layer - 04
Governed Agents
Act without uncontrolled authority.
Explore the layer - 05
Governed Workflows
Embed AI in how the organization operates.
Entry pointsExplore the layer - 06
AI Solutions
Measurable business outcomes.
Entry pointsExplore the layer
Built for AI that can actually operate
Understand, reason, decide, act, automate and learn, always inside the boundaries you set. Swfte Enterprise Intelligence adds the analysis layer: analyze your data, then build the agents, workflows and solutions that act on it.
- UnderstandGround every answer in your own data and context.
- ReasonWork through multi-step problems with the right model.
- DecideWeigh options against policy and risk.
- ActUse tools and systems inside the permissions you grant.
- AutomateRun governed workflows from trigger to outcome.
- LearnImprove from outcomes inside controlled boundaries.
- Security policies
- Data boundaries
- Regulatory requirements
- Permissions
- Governance framework
Raise autonomy one level at a time
- L1AssistAI recommends.
- L2ApproveA human approves.
- L3SuperviseActs within limits, monitored.
- L4AutonomousIndependent within strict policy and risk bounds.
- L5AdaptiveImproves within controlled boundaries.
Trust built into every layer
Governance happens inside the AI, not around it. Policy changes what an agent can actually do, and every step leaves evidence you can trace from data to outcome.
- Identity
- Access
- Data controls
- Policy
- Security
- Privacy
- Compliance
- Risk
- Human oversight
- Auditability
- Traceability
- Evidence
- Monitoring
- Data
- Model
- Agent
- Decision
- Action
- Outcome
Guardrails ask: should this be blocked?
Governance asks: who is acting, allowed to do what, under which policy, with which data, using which model, at what risk, with what oversight, and can we prove it?
- Allow
- Deny
- Warn
- Filter
- Escalate
- Require human approval
From first AI workload to enterprise intelligence
Start with an API. Scale across the enterprise. One platform.
- 01API
- 02Inference
- 03Model
- 04Private AI
- 05Enterprise data
- 06Agent
- 07Workflow
- 08Business solution
- 09Dedicated infrastructure
- 10Enterprise-wide sovereign AI environment
Land small. Prove value. Increase usage. Add intelligence. Add agents. Add workflows. Expand infrastructure.
Your AI. Your data. Your intelligence. Your control.
Sovereignty is your organization's ability to keep meaningful control over its AI estate. It is about control, not just where a server sits.
Turn insight into an agent, a workflow or a solution
A customer-hosted, evidence-backed, time-aware model of your organization: people, structure, systems, ownership and history. Analyze it, visualize it, and build agents, workflows and solutions from it. It is designed as the context backbone behind Cortex, Nexus and Studio, with customer data staying in your environment by default.
- Analyze
- Visualize
- Build
- Govern
- Learn
Designed to run connected, private or air-gapped.
- Directory sync with Active Directory, LDAP, Entra ID, Okta and Google Workspace
- A temporal graph that keeps the history of people, systems and ownership
- An outbound link the customer can switch off
- Kubernetes and VM packaging
On the roadmap: cloud, code, Kubernetes and database collectors, an MCP context API, an approvals action gateway and cloud-marketplace listings.
The model gateway and routing layer
Route requests across 50+ model providers through one API, with smart routing, caching and per-request cost analytics. Run it as a managed service, or self-deploy it in your own environment.
AI capability without control is not enterprise-ready. Control without intelligence is not valuable. Sovereign Intelligence is both.
Built for European requirements. Safe by design.
Compliance-by-design: the technical controls, governance mechanisms and evidence you need to deploy AI within your applicable regulatory, security and policy requirements. The exact posture depends on your use case, jurisdiction, deployment and configuration.
Deploy models
Run frontier and open models on infrastructure you control.
Swfte safety-first model
Our fine-tuned model, built with safety first.
Open-source model testing
Test open models against your own tasks and policies before you adopt them.
SecOps
Security operations for AI itself: red teaming, runtime security and an audit trail.
Entry points
One platform, several ways in
Start with the product that matches the job. Each one is an entry point into the same platform.
One platform. Every way to build with AI.
Build governed agents and workflows, visually
Describe what you want and Studio builds it: agents, workflows, and chatflows, deployed without writing a line of code.
Start buildingTrusted by innovative teams worldwide
Build with confidence.
Operate under policy.
Step inside Studio.
Watch a governed workflow take shape.
Different strengths.
One platform, one control plane.
Build the work. Route the intelligence.
Ground it in your data. Govern all of it.

Make intelligence useful.
Keep the work accountable.
Bring models, data and workflows together on infrastructure you control, around the problems that matter.
Explore the platformCONNECTED CONTEXT / SHARED PURPOSE
Built with your people.
Move from a shared problem to a pilot the team can inspect, challenge and improve.
See the working approachThe right first move.
Choose the opportunity, the sequence and the changes your organisation needs to make.
Explore the approachOne connected route to useful intelligence.
Bring the model, the task and the working context into the same conversation.
Explore the working exampleKeep the decision with the right person.
Make ownership and review part of the workflow from the first useful example.
Explore the working exampleLearn from the work, not just the output.
Inspect the source, the handoff and the result. Use that evidence to decide what comes next.
Explore the working exampleThe work is moving.
Keep the evidence with it.
Bring local agent activity, policy decisions and cost attribution into an accountable workflow.
Explore NexusIdeas worth
working through.
Read the full archive of analysis, practical guides and perspectives.
your intelligence.
We see how work really happens: the chaos, the inefficiencies, the untapped potential. AI should amplify what makes us human, not replace it.
Whether you're a global enterprise or a growing startup, Swfte helps teams cut through complexity to unlock efficiency, boost productivity, and drive real cost savings.
The Swfte Team
Building AI that works for everyone
Featured AI Insights
Dario Amodei
Anthropic CEO on Claude, AGI & the Future of AI - Lex Fridman Podcast
Geoffrey Hinton
2024 Nobel Laureate - The Godfather of AI on risks & opportunities
Tristan Harris
Why AI is our ultimate test and greatest invitation - TED Talk
Jensen Huang
NVIDIA CEO on the next wave of AI - CNBC Interview
Andrej Karpathy
Deep Explore LLMs like ChatGPT - Full Course
Demis Hassabis
2024 Nobel Chemistry Laureate - DeepMind CEO Interview
Yann LeCun
Meta AI Chief on Open Source, LLMs & AGI - Lex Fridman Podcast
Ilya Sutskever
The Future of AI & Pre-training - NeurIPS 2024 Talk
Mustafa Suleyman
AI as a New Digital Species - TED Talk
Fei-Fei Li
The Rise of the Machines - Stanford AI Future
Sam Altman
What's Next for AI - TED 2025 Conversation
Demis Hassabis
AI Could End Disease - 60 Minutes Interview
Geoffrey Hinton
The Godfather of AI - 60 Minutes Full Interview
Daniela Rus
How AI Will Step Into the Real World - TED Talk
Dario Amodei
Anthropic CEO on Claude, AGI & the Future of AI - Lex Fridman Podcast
Geoffrey Hinton
2024 Nobel Laureate - The Godfather of AI on risks & opportunities
Tristan Harris
Why AI is our ultimate test and greatest invitation - TED Talk
Jensen Huang
NVIDIA CEO on the next wave of AI - CNBC Interview
Andrej Karpathy
Deep Explore LLMs like ChatGPT - Full Course
Demis Hassabis
2024 Nobel Chemistry Laureate - DeepMind CEO Interview
Yann LeCun
Meta AI Chief on Open Source, LLMs & AGI - Lex Fridman Podcast
Ilya Sutskever
The Future of AI & Pre-training - NeurIPS 2024 Talk
Mustafa Suleyman
AI as a New Digital Species - TED Talk
Fei-Fei Li
The Rise of the Machines - Stanford AI Future
Sam Altman
What's Next for AI - TED 2025 Conversation
Demis Hassabis
AI Could End Disease - 60 Minutes Interview
Geoffrey Hinton
The Godfather of AI - 60 Minutes Full Interview
Daniela Rus
How AI Will Step Into the Real World - TED Talk
How to build governed AI with Swfte
Swfte takes you from a first AI workload to governed, traceable execution in four steps, with no infrastructure to manage and no code required to start.
- 1Start with an API or a workflow. Call any of 50+ models through one gateway, or describe a workflow in plain language in Studio or start from a template. There is nothing to install.
- 2Connect your data and set the boundaries. Ground agents in your company knowledge and approved tools, then define identity, permissions, data boundaries and policy for what they may do.
- 3Choose an autonomy level. Begin with AI that recommends, require human approval where it matters, and raise autonomy one level at a time as the evidence supports it.
- 4Deploy and keep the evidence. Deploy to the cloud or to your own dedicated environment. Every run is traceable from data to model to agent to decision to outcome.
Frequently Asked Questions
What is the Sovereign Intelligence Platform?
Swfte is the Sovereign Intelligence Platform: one platform to build, govern and operate AI across your organization, from infrastructure and data to models, agents, workflows and business solutions, with security, governance and control built into every layer.
How is Swfte different from other AI platforms?
Most platforms offer AI capability without control, or control without intelligence. Swfte is designed to give you both: governance runs inside the AI at runtime, so policy changes what an agent can actually do, and every action leaves evidence you can inspect.
Where does my AI run, and who controls it?
Swfte is designed so your organization decides where AI runs, which data it can see and what it is allowed to do, with options for dedicated cloud, private and hybrid deployment and data residency. Exact options depend on your plan and configuration.
Does Swfte hold security certifications?
Not yet. Swfte does not hold a SOC 2 report or an ISO 27001 certificate and does not sign HIPAA Business Associate Agreements today; a SOC 2 Type I audit is in preparation. Customer data is stored in AWS eu-west-1 (Ireland), encrypted at rest, and API traffic uses TLS 1.2 or later. Swfte is built compliance-by-design: it provides technical controls and evidence to support deployment within your applicable requirements, and the exact posture depends on your use case, jurisdiction and configuration. See swfte.com/trust for what is in place and what is in progress.
Can we start small and expand?
Yes. Most teams start with one API or one workflow and add models, private data, agents and dedicated infrastructure as they prove value. It is one platform at every step, so nothing is rebuilt as you scale.