The operational intelligence layer across your engineering stack
Opsphere connects the cloud, Kubernetes, observability, deployment, code and edge systems your teams already use, turning fragmented operational signals into structured investigations and reusable context.
Your tools remain the source of truth. Opsphere provides the operational layer between them.
THE OPERATIONAL INTELLIGENCE LAYER
One platform layer for operational understanding
Modern engineering teams already have the tools they need — cloud platforms, Kubernetes, observability, CI/CD, repositories, edge services and security systems. The problem is that each system only exposes part of the operational story.
Opsphere sits across that stack as a structured intelligence layer: it queries the systems that already own the data, correlates the evidence that matters, supports evidence-backed investigations, and preserves reusable operational context for future troubleshooting.
What that means in practice: connect, query, correlate, structure, investigate and retain context — without moving your data or replacing the systems that own it.
Each system tells only part of the story
Cloud, Kubernetes, observability, deployment and edge tools each hold one slice of an incident. Nothing stitches them into a single operational picture.
Correlation happens in people's heads
Engineers manually line up a deployment, an error spike and an infrastructure event across separate dashboards, every time.
Context is lost when the incident ends
The relationships and findings from one investigation rarely survive to help the next one, so troubleshooting starts from zero again.
HOW OPSPHERE WORKS
A structured operational layer, not another dashboard
Opsphere combines a few platform layers that work together without replacing the tools underneath them.
Connect
Access the systems your teams already use across cloud, Kubernetes, observability, deployments, code and edge infrastructure.
Query and correlate
Retrieve current operational evidence from the systems that own it and correlate what matters to the task at hand.
Investigate
Evaluate hypotheses against real evidence, calculate confidence, build timelines where timestamps exist, and define verification conditions.
Retain context
Preserve useful relationships and structured investigation knowledge so future troubleshooting can reuse relevant context.
CORE CAPABILITIES
Core platform capabilities
Opsphere's platform is a small set of capabilities that build on the same connected stack.
Evidence-backed Operational Investigations
Investigate production issues through multiple hypotheses, real operational evidence, calculated confidence, timelines and explicit verification conditions. Parallel hypotheses · evidence-backed findings · calculated confidence · investigation timeline · verification conditions.
Operational Context
Maintain a structured understanding of relevant services, environments, repositories, accounts and previous investigations so the next troubleshooting task does not start from zero. Operational knowledge graph · investigation memory · similar incident context · provenance · tenant, account and environment scope.
Operational Intelligence through MCP
Expose Opsphere capabilities to Cursor, Codex and other MCP-compatible clients — from atomic operational tools for direct queries to structured, high-level investigations. Atomic tools · high-level workflows · structured results.
Built for the stack you already use
Connect cloud, Kubernetes, observability, deployment, code, edge and security platforms — AWS, Kubernetes, Datadog, Vercel, GitHub, Cloudflare, Sentry, Azure and more — without replacing the systems your teams already rely on.
Read-only by default
Opsphere is designed to inspect, correlate, investigate and recommend without silently mutating production systems. Read-only by default · tenant isolation · environment scope · evidence before inference · source systems remain authoritative.
Investigate the present. Retain what matters for the next incident.
Operational Investigations and Operational Context work together. Investigations collect current evidence, test hypotheses and produce structured conclusions. Operational Context preserves the relationships and investigation knowledge that help the next troubleshooting task start with more understanding.
- Operational Context
- Current Investigation
- Live Evidence
- Evidence-backed Conclusion
- Reusable Operational Knowledge
Context accelerates the investigation. Current evidence still decides the conclusion.
One operational layer, multiple ways to use it
Opsphere is a platform capability, not a single chat interface. Teams reach the same operational layer through supported interaction surfaces.
Cursor
Use Opsphere through MCP from the development environment.
Codex
Use structured operational capabilities from compatible AI workflows.
Web Client
Investigate operational questions from a browser-based interface.
MCP-compatible clients
Use atomic tools and high-level operational workflows from supported MCP environments.
The interface can change. The operational layer stays consistent.
Keep operational data where it already belongs
Opsphere does not need to become another datastore for all customer telemetry. Your existing systems remain authoritative: observability platforms for metrics, logs and traces; cloud providers for infrastructure state; repositories for code; deployment systems for releases; Kubernetes for runtime state; edge providers for network and CDN behaviour. Opsphere keeps the operational context and structured investigation knowledge needed to understand those systems together.
Operational knowledge in Opsphere. Operational data in the systems that already own it.
Designed for production environments
Opsphere works against live systems, so its defaults are conservative.
Read-only by default
Investigate and recommend without silent production changes.
Tenant isolated
Operational context stays scoped to the correct tenant and account.
Environment scoped
Relevant context is retrieved for the environment being investigated.
Evidence-backed
Conclusions are tied to real operational evidence, not model self-assessment.
Source-of-truth aware
Connected platforms remain authoritative for the underlying data.
GO DEEPER
Explore the platform's core capabilities
GET STARTED
Build operational understanding across your existing stack
Connect your stack and see how Opsphere turns fragmented operational signals into evidence-backed investigations and reusable context.