Data within the perimeter
Private and on-premise hosting to keep sensitive data in. Prompts don't train third-party models.
Stratum AI · Proprietary platform
A platform in layers. Like your processes.
Stratum AI orchestrates multi-model GenAI, traditional models, your data and agents — on a single platform. Each layer does its job: from user experience down to infrastructure, in the cloud or within your private perimeter.
What is Stratum AI
Not a model.
An architecture.
Models change every month. What remains is how you orchestrate them around your data and processes. Stratum AI is the platform layer that holds together models, knowledge, agents and integrations — making them governable, compliant and portable between cloud and on-premise.
Architecture
The six layers of Stratum AI.
From human interaction down to the infrastructure it all runs on. Each layer is replaceable and observable — so the platform evolves without rewriting what already works.
06
Experience
InteractionChat, copilots, conversational interfaces and APIs. AI arrives inside the tools people already use — portals, management systems, mobile — without yet another app to learn.
05
Orchestration & agents
LogicAgents plan, call tools, execute actions and pause where human approval is needed. Workflows tailored to your processes, with human-in-the-loop where it matters.
04
Models
ReasoningMulti-model GenAI (proprietary and open-weight) alongside traditional ML models. A router picks the right model for each task, by cost, quality or privacy constraint.
03
Knowledge & data
ContextRAG on your documents and datasets, with differentiated permissions and source traceability. Answers cite where they come from — no AI making things up on enterprise data.
02
Integration
ConnectivityConnectors to legacy ERPs, custom management systems, email, scattered files, databases and IoT sources. Stratum AI hooks into the information system you already have — even the one from twenty years ago.
01
Infrastructure & governance
FoundationCloud, private cloud or on-premise. Logging, audit, policy and cost management span all layers. GDPR and AI Act compliance is designed here, not bolted on after.
Model layer
The right model for each task — not one for everything.
A single LLM is not optimal for every problem: some tasks demand deep reasoning, others speed or minimal cost, others yet require the data to stay within the perimeter. Stratum AI routes each request to the right model.
- Multi-vendor & open-weight. Commercial and open self-hosted models, interchangeable without rewriting the application.
- Policy-based routing. By quality, cost or data sensitivity: sensitive data stays on private models.
- Traditional ML included. Forecasting, classification and anomaly detection coexist with GenAI in the same flow.
Model Router
GenAI cloud
Private LLM
Classic ML
Policy: sensitive data→ private
Data & integration layer
Hooks into data where it lives. Even in legacy.
The value is not in a new data lake to build over two years, but in the data you already have — scattered across ERPs, emails, PDFs and homegrown management systems. Stratum AI reaches it without asking you to rebuild everything.
- RAG with citations. Answers anchored to documents, with the source always traceable and verifiable.
- Differentiated permissions. Each user sees only what they're authorized to: access control follows the rules already in place.
- Legacy adapters. Custom connectors and adapters for legacy management systems and non-standard formats.
ERP / management
Email & PDF
Database
IoT / files
Knowledge layer · RAG
Answer+ cited source
Deployment
Where Stratum AI runs is up to you.
Same platform, three perimeters. Start where it makes sense and switch when needed, without rewriting applications.
01 · CLOUD
Managed cloud
Fastest time-to-value. Models always up to date and no infrastructure to manage.
- Up and running in days, not months
- Elastic scalability
- Continuous updates
02 · PRIVATE
Private hosting
Sensitive data never leaves the perimeter. Open-weight models running in your cloud or data center.
- Data within your boundary
- Open self-hosted models
- GDPR & AI Act by design
03 · ON-PREMISE
On-premise
For the most regulated environments. Stratum AI runs entirely in your infrastructure, even air-gapped.
- Total control
- Air-gapped environments
- Integration with existing IT
Compliance & governance
Compliant where it counts, measurable always.
Privacy
GDPR
Compliant data processing, with hosting within the perimeter when required.
Regulation
AI Act
Risk classification, transparency and decision traceability.
Orchestrated models
Multi · vendor
Cloud and open-weight, switchable without application lock-in.
Traceability
100% · audit
Every request logged: prompt, source, model and action taken.
Security & control
Built for IT teams, not just AI enthusiasts.
Granular access control
Permissions by user, role and source. AI shows each person only what they're authorized to see.
Audit & observability
Full logs of every interaction and agent action. End-to-end traceability for compliance and debugging.
Cost control
Budgets and limits per project and per model. Routing keeps spending under control, request by request.
Tools become obsolete. A layered architecture lets you swap models without rebuilding the company.
From platform to use cases
Stratum AI in production, on real processes.
AI-powered Customer Service
Omnichannel, operator + AI in real time, human-in-the-loop and proactive client alerts.
Learn moreDocument automation
Data extraction from any format, automatic reconciliations and orders. Up to -75% on processing times.
Learn moreKnowledge management
Chatbot on datasets with differentiated access, document chat, semantic version comparison.
Learn moreAnother level of the platform
And when data comes from the field: Senseioty.
If Stratum AI is the intelligence layer, Senseioty is the layer that brings in operational data — directly from machines and sensors.
Senseioty · IoT
From sensors to model, no gaps.
Senseioty collects and normalizes data from machines, sensors and connected devices, and feeds it into Stratum AI. So operational efficiency and predictive maintenance start from real data, in real time.
- Ingestion from industrial protocols and heterogeneous devices
- Signal normalization and historicization
- Ready for ML and alerts on Stratum AI
Frequently asked questions
Questions from technical teams.
Are we locked into a single model provider?
No. Stratum AI is multi-model by design: it routes each request to the most suitable model — commercial or open-weight — and makes them interchangeable without rewriting the application. No single-provider lock-in.
Does our data leave the company?
Not if you don't want it to. With private hosting or on-premise, data stays within your perimeter and open-weight models run in your infrastructure. Prompts are not used to train third-party models.
Does it work with our legacy systems?
Yes. The integration layer includes custom connectors and adapters for legacy ERPs, custom management systems, email, scattered files and IoT sources. The goal is to hook into the information system you already have, not replace it.
How do you handle GDPR and AI Act compliance?
Governance is designed in the infrastructure layer: risk classification, transparency, decision traceability and full audit. In-perimeter hosting covers data residency and processing requirements.
How long to go to production?
It depends on the use case, but you can start with a pilot on a single process in a few weeks. Our Advisory path helps choose the cases with the best value/effort ratio before building.