AWS
Regional cloud infrastructure and storage options for customers that need deployment aligned with their jurisdiction.
Infrastructure for Sovereign AI.
Sibel works across leading cloud, model, and sandbox providers so customers can keep inference and storage in-region, avoid training on proprietary data, and deploy AI infrastructure that fits the security expectations of financial institutions.
Provider stack.
Our infrastructure layer spans cloud providers, frontier-model access, and sandbox compute so deployment can be matched to our customers' requirements.
Google Cloud
Regional cloud infrastructure used to support sovereign deployment options across customer environments.
Azure
Enterprise cloud alignment for institutions standardising on Microsoft infrastructure and regional controls.
Anthropic
Frontier model access for workflows that require strong analytical depth, planning, and execution.
OpenAI
Frontier model access for broad research, workflow execution, and complex institutional use cases.
E2B
Sandbox compute for controlled code execution, analytical workflows, and generated files inside the platform.
What that infrastructure allows.
Sibel is built to deliver sovereign AI for institutions that need regional control, stronger security guarantees, and a platform that does not train on their data.
Regional inference
AI inference can be aligned to the customer’s region so the processing layer does not leave the jurisdiction.
Regional storage
Conversations, outputs, and platform data can remain stored inside the same regional boundary as the inference layer.
Zero training handling
Customer data is not used to train foundation models. The platform is built around that expectation by default.
Multi-provider resilience
Sibel is not tied to one cloud, one model provider, or one compute environment, which matters for continuity and sovereignty.
Built for regulated adoption.
Infrastructure is not an abstract backend concern in finance. It is part of the product. The stack has to support trust, continuity, and controlled deployment from day one.
Sovereign AI
The point of the stack is not provider sprawl. It is giving institutions regional control without accepting weaker local-model compromises.
Security by design
Infrastructure choices are made to support regulated finance: approvals, auditability, isolation, and controlled data handling.
Rapid model adoption
Customers can move onto the best available model through one platform instead of reopening procurement for every model cycle.
Transform your analytical workflow
Join institutions using Sibel to explore more scenarios, test more hypotheses, and arrive at decisions with greater conviction.