Know what broke, and why — before the next page.
Intellira correlates your commits, builds, deploys and Kubernetes events into one timeline — and names the change that broke it, with the evidence to prove it.
Read-only · open MCP · bring your own LLM
Early access — we're onboarding a limited number of design partners. No credit card, read-only, ~10-minute setup.
Why is payments-api in CrashLoopBackOff?
Technologies we read
- Kubernetes
- ArgoCD
- Jenkins
- Bitbucket
- Prometheus
- OpenTelemetry
Read-only, over the open Model Context Protocol.
One incident. The whole chain.
Most tools tell you a pod restarted. Intellira tells you which commit shipped the change, which build deployed it, and exactly what to do next.
AI Troubleshooting
Paste an error, get a structured RCA: Quick Fix, Summary, Root Cause, Evidence, Next Actions — every claim backed by a real log or event excerpt.
Causality correlation
Walks the chain — Bitbucket diff → Jenkins build → ArgoCD sync → Kubernetes event — to surface the change that caused the incident, not just the symptom.
Service maps
A live topology from your cluster and GitOps state. When an incident lands, the affected path lights up so you can trace the blast radius in seconds.
Incident management
Correlates alerts, dedupes noise, and keeps an evidence chain from first signal to resolved — so the post-mortem starts from facts, not memory.
ChatOps
Diagnose from where you already work. Ask in chat, get a cited root cause and a recommended fix without opening five dashboards.
Read-only & multi-tenant
No destructive actions, ever. Secrets redacted from every output. Tenant isolation enforced at the data layer. Bring your own LLM.
How it works
From raw signals to a ranked root cause
- 1
Ingest signals over MCP
Read-only connectors pull commits, builds, sync state, pod events and metrics through the open Model Context Protocol.
- 2
Correlate the causality chain
Link the deploy to the build to the commit to the failing pod — across tools that normally never talk to each other.
- 3
Rank the root cause
Score candidate causes against the evidence and surface the most likely one with a confidence signal you can audit.
- 4
Recommend the fix
Output a specific remediation — the file, the line, the revert — not a generic "investigate further".
Service topology
See the blast radius, then click into it
Intellira renders a live service map from your cluster and GitOps state. When an incident lands, the affected path lights up so you can trace dependencies and open pod logs without leaving the graph.
- Nodes from real Deployments, Services and ArgoCD apps.
- Edges inferred from traffic and dependency metadata.
- Degraded paths highlighted in the incident timeline.
Return on investment
Less time bisecting, more time shipping
Most of an incident's clock is spent answering “what changed?” across disconnected tools — a blended investigation runs about 47 minutes. By correlating delivery and runtime signals automatically, Intellira compresses that investigation phase of mean time to resolution.
Illustrative — 60% reduction on a 47-min investigation, US rate. Full ROI calculator →
Build vs buy
Cheaper than the add-on, faster than building it
Why not Datadog Bits AI?
Datadog Bits AI SRE runs about $500 for 20 investigations a month. Intellira's Team tier includes 500 for $20/user/mo — read-only, model-agnostic, and working across the tools you already run, not just the data in one vendor.
Why not build it yourself?
Correlating commits → builds → deploys → pod events is the easy part. The hard part is the safety: read-only enforcement, secret redaction, abuse and cost ceilings on a public LLM surface, and tenant isolation — the work Intellira has already done.
Built to earn your trust
Read-only by design
Intellira never scales, deletes or applies. It reads your stack; it never touches it — which is what gets it through a security review.
Every claim cites evidence
Each root cause is backed by a real log line, event or commit — an auditable evidence chain, not a confident-sounding guess.
Your model, your data path
Bring your own Claude, OpenAI or Gemini key. Analysis runs against a model you control; your data path stays yours.
We're working with early design partners in fintech and B2B SaaS — named case studies coming soon.
A free tier to start, scale when it pays off
Per-seat pricing with investigations included — bring your own LLM to remove the cap. See full pricing →
Team
Popularfrom $20 / user / mo · billed annually
- 500 investigations / mo
- Service maps + ChatOps
- Bring your own LLM
Business
from $36 / user / mo · billed annually
- 2,000 investigations / mo
- SSO / SAML + RBAC
- + $1,500/mo platform fee
Questions, answered
What is AI root cause analysis?
Is it safe to connect to production?
Which tools does it connect to?
Can I use my own LLM?
Stop tool-hopping. Read the root cause.
Connect your stack read-only and get an evidence-backed RCA on your next incident. No credit card — read-only, ~10-minute setup.