Where are you in building your AI Information System?
Most enterprises are past experimentation. The work now is scaling to measurable ROI, with governance and freedom of choice. The platform meets you at your stage and grows with you, from secure chat to a scalable, AI-by-design Information System.
- Adopt: give everyone secure, multi-LLM chat. Individual productivity, no data leaving your control.
- Specialize: build agents that act, connected to your skills (tools, MCP) and your knowledge, multi-LLM and cloud-resilient. Moving from chat to agents that get things done.
- Scale & transform: build custom apps and workflows with Builder, mutualize infrastructure securely, and rationalize internal software costs by replacing siloed or underused applications, with measurable ROI.
Resilience and freedom of choice
A foundation earns its place by being the one layer no single vendor controls. This is a real architecture property, not a slogan: the platform is event-driven and layered to stay cloud- and model-agnostic. The low-level architecture, services, and databases are covered in Self-Hosting.LLM resilience
Models change fast: prices move, quality shifts, and some are deprecated (GPT-4o was retired). Prisme.ai is natively multi-model and routes across OpenAI, Anthropic, Mistral, AWS Bedrock, Google Vertex, and self-hosted models. Swap or route per use case without touching your agents.
Cloud resilience
Run on any major cloud or on-premises: AWS, Azure, Google Cloud, OVHcloud, Outscale, OpenShift. No cloud-specific service locks your agents, data, or governance in.
Why a cloud provider or an LLM provider cannot be your AI foundation
- A cloud provider’s AI stack ties you to that cloud. Your agents, data, and governance become cloud-specific, and leaving means rebuilding. Their incentive is to keep you on their cloud.
- An LLM provider’s platform ties you to that model. When a model is deprecated or repriced, you are exposed, and you cannot route to a competitor. Their incentive is to keep you on their model.
- Neither is neutral. Their business is selling their cloud or their model. A foundation’s job is the opposite: to keep you free to choose per use case, and to switch without a rewrite.
- Only a vendor-neutral layer can govern across clouds and models. Governance, traceability, security, and cost control have to sit above any single provider to be real. That neutrality is the product.
Governance that scales with you
Governance is itself a maturity dimension. It starts central and becomes delegated as you scale, so teams get the freedom to act within guardrails rather than waiting on a bottleneck. That balance (central rules, per-organization autonomy) is what lets adoption grow without losing control.Governe
Central and per-org governance: SSO, roles, model access, audit, quotas, and retention.
Adoption & Governance playbook
Who does what, one org or several, and how to open the platform without chaos.
Build and deploy
The foundation carries a full engineering lifecycle. Go straight to the detail:Build
Workspaces as React front-ends and YAML automations, from VS Code over MCP, versioned in Git.
Deploy
Platform environments with CI/CD, and per-use-case dev and prod workspaces synchronized by Git.
Architecture
Event-driven services, layering, and databases for teams running the platform.
Next steps
Products & Capabilities
The building blocks of the platform
First Steps Guide
Getting hands-on with the platform
Account Setup
Configure your account and environment