Model-agnostic AI grounded in operational evidence
Opsphere works with different AI models and clients without tying the operational intelligence to one provider. Models help interpret and orchestrate; the operational evidence, context and guardrails stay in Opsphere.
THE MODEL IS NOT THE PLATFORM
The model is not the platform
Teams adopt OpenAI, Mistral, Anthropic and custom models in parallel. Operational context rarely follows the model layer, so each new model means new adapters, new credentials and new failure modes.
Bolt-on AI dashboards treat the model as the product story. Infrastructure teams need intelligence that respects existing operational relationships, incidents and runbooks — and that stays consistent when the model changes.
Change the model, not the operational layer: the operational layer stays put. You change the model without rebuilding the integration with your infrastructure, observability, deployment, code and edge systems.
Model churn breaks integrations
Every new model endpoint means new adapters and credentials. Without a stable operational layer underneath, the integration work repeats with each provider.
Generic AI has no operational grounding
A model with no view of your service relationships, deployment history or incident patterns is guessing when it makes an operational recommendation.
Context tied to a conversation
When operational knowledge lives inside one chat or one provider, it cannot be reused by another surface working on the same systems.
MODELS AND INTERFACES
Use the model or interface that fits your workflow
Opsphere is built for a multi-model, multi-interface environment. Model providers and AI clients are kept distinct.
Models / AI providers
OpenAI, Mistral, and Anthropic / Claude models where applicable, plus other supported providers. Selected by policy per environment or data class — not hard-wired into the product.
AI clients / interfaces
Claude and Claude Code, Cursor, Codex, the Opsphere Web Client, and other MCP-compatible clients. Different ways to reach the same operational layer — not different products.
CLAUDE WORKFLOWS
Operational intelligence for Claude workflows
Opsphere can integrate with Claude-compatible workflows, letting Claude reach Opsphere's operational capabilities through the supported surface without making the model the owner of operational context. In Claude and Claude Code workflows, Opsphere still provides operational tools, structured evidence, high-level operational workflows, read-only guardrails, and tenant / account / environment scope.
Claude reasons over operational capabilities exposed by Opsphere; the source systems remain authoritative.
EVIDENCE-GROUNDED AI
AI reasoning should start from operational evidence
An AI response is only as reliable as the context it receives. Opsphere provides access to current operational data through tools and high-level workflows, and can structure investigations with hypotheses, evidence, confidence, timeline and verification. The model helps interpret those results — it does not need to invent the operational reality.
MODEL-INDEPENDENT CONTEXT
Context that is independent from the model
Operational Context, the Operational Knowledge Graph and Investigation Memory belong to the Opsphere layer. They do not depend on a particular conversation or a specific AI provider, so different surfaces can work over one controlled base of operational knowledge.
Models can change. Operational context should remain consistent.
BYO AI KEYS
Bring your own AI configuration when needed
Teams that prefer to control their provider and model can use bring-your-own configurations where supported. The choice of model does not change Opsphere's isolation, evidence and read-only principles.
MANAGED AI
Managed AI when operational simplicity matters
For teams that would rather not manage models or keys directly, Opsphere can offer managed options depending on the available plan. Providers and terms follow what is currently offered.
WHERE AI ADDS VALUE
Use AI for reasoning, not as a substitute for operational systems
Reasoning and synthesis
Interpret multi-source evidence and turn it into a coherent read of what is happening.
Investigation planning
Help determine what should be checked next as evidence comes in.
Contextual explanation
Turn structured findings into explanations an operator can act on.
Operational systems remain authoritative
AI does not replace the systems that own infrastructure state or telemetry. It reasons over what Opsphere retrieves from them.
KEEP EXPLORING
Access Opsphere from your workflow
GET STARTED
Model-agnostic operations, grounded in evidence
Connect your AI stack to Opsphere and keep the operational intelligence — evidence, context and guardrails — independent from the model you use to interact with it.