Opsphere

AI compatibility, infrastructure-first

Opsphere works with your existing AI stack — OpenAI, Mistral, or custom models — without making AI the centre of the story.

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THE AI STACK PROBLEM

AI models change faster than your operations toolchain

Teams adopt OpenAI, Mistral, Anthropic, and custom models in parallel — but operational context rarely follows the model layer.

Bolt-on AI dashboards treat models as the product story. Infrastructure teams need intelligence that respects existing topology, incidents, and runbooks.

The result: model lock-in, fragmented context, and AI experiments that never reach production reliability workflows.

  • Model churn breaks integrations

    Every new model endpoint means new adapters, new credentials, and new failure modes — without a unified operations layer.

  • No infrastructure-native context

    Generic AI tools do not understand your service graph, deployment history, or incident patterns when generating recommendations.

  • AI hype without operational grounding

    Experiments stay in sandboxes because there is no bridge between model output and the systems your SRE team actually runs.

MODEL COMPATIBILITY

Your AI stack, infrastructure-first

Opsphere connects to the models you already use — without making AI the centre of the product story.

  • Observe Everything

    A read-only connector syncs your entire resource topology — services, dependencies, deployments, and events — into Opsphere's unified data model in real time.

  • Understand Context

    The AI engine maintains a living map of your service dependencies and baselines. When signals deviate, it understands what's connected to what — and traces the blast radius instantly.

  • Act With Precision

    Opsphere generates a single, prioritized incident — with root cause identified, blast radius mapped, and a contextual runbook ready — before your engineer's phone rings.

COMPATIBILITY

Engineered for multi-model operations

Swap models without rebuilding your operational intelligence layer.

  • Provider-agnostic connectors

    Native integrations for OpenAI and Mistral with an extension path for custom and on-prem models.

  • Infrastructure context injection

    Model prompts receive live topology, incident history, and resource state — not generic system messages.

  • Policy-controlled model routing

    Route workloads to approved models per environment, team, or data classification without code changes.

  • Consistent operational output

    Runbooks, summaries, and remediation steps use the same Opsphere data model regardless of which model generates them.

  • Future-proof model slots

    Add new model providers through configuration — the platform UI and incident workflows stay stable.

AI Compatibility Specifications

Data ingestion latency
<500ms
Topology update frequency
Real-time
Root cause confidence
94% avg
Alert noise reduction
~98%
Supported cloud providers
AWS · GCP · Azure
Max services monitored
Unlimited
Data retention
90 days (Enterprise: custom)
Security certification
SOC2
SLA
99.99%

ARCHITECTURE

AI compatibility without lock-in

Multi-Model Opsphere Stack

Models plug in; operations stay infrastructure-native

  1. AI Intelligence Layer

    Anomaly detection · Causal inference · Runbook generation · Incident prediction

    • ML Models
    • LLM Engine
    • Graph DB

  2. Operations Orchestration

    Incident management · Alert routing · Runbook delivery · On-call scheduling

    • PagerDuty
    • Slack
    • Jira
    • OpsGenie

  3. Connector & Ingestion Layer

    Read-only cloud connectors · Topology discovery · Metric streaming · Event capture

  4. Your Infrastructure

    EC2 · ECS · Lambda · RDS · S3 · Kubernetes · Serverless · Databases · Queues

GET STARTED

AI-compatible, infrastructure-first operations.

Connect your AI stack to Opsphere and bring intelligence to your operations.

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