Universal Telemetry Connectors
Ingest data from observability tools, cloud providers, Kubernetes, CI/CD, incident systems, cost platforms, and business systems.
Copilot Mode
Developer-driven execution
Autopilot Mode
Developer-supervised execution
Runtime Context Graphs
Use Unomiq with the coding agent you already love — Claude Code, Codex, Cursor or any agentic development workflow.
Unomiq gives agents runtime context graphs, so they understand not just the codebase, but production behavior, cost, ownership, impact, and what to optimize next.
Continuous Analysis
Autopilot Mode uses Unomiq's runtime graphs to spot risks early, find root causes fast, and optimize performance and unit economics across AI systems.
It watches the graph, surfaces meaningful changes, prioritizes risks, recommends actions, and can run approved workflows under developer-defined policies.
01. Foundation
Telemetry-to-Graph Foundation
Turn fragmented telemetry, ownership, cost, and business metadata into a living operational graph that every other workflow can build on.
Entity Resolution
Normalizes different names, tags, labels, accounts, services, and owners into clean operational entities.
Relationship Mapping
Connects services, infrastructure, users, teams, costs, deployments, and incidents into a living graph.
Operational Graph Store
Maintains a constantly updated map of technical, financial, and organizational relationships.
02. Performance
Performance Intelligence
Use the graph to understand dependency paths, correlate changes, and prioritize reliability work by actual user and business impact.
Service Dependency Graph
Maps how services, APIs, queues, databases, clusters, and regions depend on each other.
Change Impact Analysis
Connects deploys, config changes, infrastructure events, and code ownership to performance changes.
SLO & Risk Mapping
Links SLOs to services, dependencies, teams, customers, and infrastructure.
Latency & Bottleneck Detection
Finds slow paths, overloaded dependencies, noisy services, and inefficient request flows.
Incident Context Graph
Correlates alerts, logs, traces, metrics, topology, ownership, and recent changes.
03. Economics
Economics Intelligence
Make cost behavior as explainable as performance behavior by tying spend, workload shape, usage, and ownership back to the graph.
Cost Allocation Graph
Maps cloud, Kubernetes, AI, data, and SaaS spend to services, teams, products, and customers.
Cost Anomaly Detection
Detects unusual spend patterns using historical baselines, usage signals, and ownership context.
Cost Spike RCA
Explains cost increases by tying them to workload changes, deployments, traffic, regions, accounts, or teams.
Unit Cost Modeling
Calculates cost per customer, feature, transaction, API call, environment, model, or tenant.
Waste & Rightsizing Intelligence
Identifies idle resources, overprovisioned workloads, inefficient scaling, and unused capacity.
Commitment & Capacity Planning
Connects usage trends, workload stability, and forecasted demand to commitment opportunities.
04. Action Layer
Remediation & Action Layer
Move from analysis to execution with issue routing, prioritization, workflow integration, and verification built directly on the graph.
Owner-Aware Recommendations
Routes every issue, risk, and optimization opportunity to the right team.
Prioritized Action Queue
Ranks actions by savings, reliability impact, customer impact, urgency, and implementation risk.
Runbook & Workflow Integration
Connects insights to tickets, incidents, Slack, Jira, PagerDuty, GitHub, CI/CD, and automation workflows.
Policy & Governance Checks
Flags drift from tagging, budget, reliability, security, and ownership policies.
Closed-Loop Verification
Tracks whether recommended actions were completed and whether they delivered the expected outcome.
Build and use your first runtime
context graph today
Currently in private beta, no credit card required. Request early access or book a custom demo for your enterprise.