Status quo
247 alerts · 12 tools · 45 min to triage
- Dashboard overload, no root cause
- Manual correlation across Splunk and Datadog
- Runbooks in Slack, approvals in email
Private preview for select design partners
Designed to think. Built to heal. Guided by governance.
ObservAI is an AI-native incident intelligence fabric. It sees problems forming across your stack, explains them in plain language, and acts only when policy and your team allow.
What teams face today
More telemetry. Less understanding.
SRE and platform teams drown in alert storms, tool sprawl, and manual correlation. Dashboards show data but rarely explain what to do next.
CPU spike
Latency p99
Pod restart
Disk full
5xx surge
Memory leak
Queue backlog
Auth timeout
DB conn pool
Cache miss
TLS expiry
Rate limit
INC-2847 · Checkout latency
Alert storms
Teams drowning in noise, unable to distinguish signal from spam
Tool sprawl
Context switching between dozens of monitoring and observability tools
Slow coordinated response
Manual correlation and investigation delays time to resolution
Observability gave us more dashboards. It did not give us faster, safer incident response. That gap is why ObservAI exists.
Fewer pages
Intelligent correlation reduces alert volume dramatically
Clear explanations
Plain English root cause analysis with confidence scores
Safer actions
Policy-bound automation with human approval workflows
How ObservAI is different
Multiple agents. One orchestrated response.
Specialized agents ingest, detect, correlate, investigate, and remediate through a governed incident pipeline. Sense through act without tool-hopping.
Sense
Continuous telemetry capture
Correlate
Signals stitched into incidents
Reason
Plain-English root cause
Communicate
Context delivered to humans
Act
Policy-bound remediation
Observability
Understanding
Transform raw signals into coherent narratives that explain what is happening in your systems.
Diagnosis
Decision
Move from manual investigation to clear root cause and blast radius analysis.
Decision
Action
Enable guardrail automation with operator approval, turning insights into safe remediation.
Product overview
Five stages, one surface.
Tab through Detect, Correlate, Investigate, Remediate, and Govern, then watch the overview on the problem and platform.
Explore each stage
ObservAI · Detect
Anomaly dashboardML + LLM validated
Critical signals surfaced early
- checkout-api latency spike detected
- Isolation Forest score elevated
- Duplicate burn-rate alert suppressed
Anomalies find you first. ML ensemble plus LLM validation, not rule fatigue.
Product overview
The problem, the approach, and a look inside ObservAI.
A short narrative that ties the five stages together—why incident response breaks down today and how ObservAI responds. Marketing overview, not a live product session.
ObservAI · Product overview
Marketing overview for design partners. Request early access for hands-on preview with your stack under NDA.
Why it matters for you
Rethink reliability.
Less noise, faster recovery, plain-English RCA, and policy-bound automation. Measured outcomes for design partners.
0%+
Noise reduction
0x
Faster MTTR
0%
Audit logged
0 min
To first insight
Noise ↓
Alert correlation and deduplication reduce paging storms.
Explainability ↑
English RCA helps teams act quickly.
Safety First
Policy-bound automation with human-in-the-loop by default.
Faster Recovery
Guided or automated steps shorten time to mitigate.
Status quo vs ObservAI
Dashboards show data. ObservAI explains and acts.
From alert storms and scattered runbooks to one correlated incident with governed remediation.
With ObservAI
3 incidents · 1 pipeline · RCA in plain English
- Correlated trace + log story automatically
- NL-to-SQL investigation in the analyzer
- Governed remediation with audit trail
Fits your stack
Plugs into what you already run.
Vendor-agnostic ingestion from cloud, observability, and on-premises stacks into one incident pipeline.
GCPAWSAzureDatadogDynatraceNew RelicSplunkOn-premGCPAWSAzureDatadogDynatraceNew RelicSplunkOn-prem
GC
GCP
Cloud Monitoring, Logging, and Trace.
AW
AWS
CloudWatch, X-Ray, and native metrics.
AZ
Azure
Monitor, Application Insights, and Log Analytics.
DA
Datadog
Metrics, APM, and log correlation.
DY
Dynatrace
Smartscape topology and Davis AI signals.
NE
New Relic
NRQL, distributed tracing, and alerts.
SP
Splunk
SIEM and observability data pipelines.
ON
On-prem
Self-hosted stacks and custom exporters.
1
Choose connector
Pick the integration that matches your environment
2
Configure and test
Setup Wizard: credentials, endpoints, and auth validation
3
Start pipeline
Enable ingestion and anomaly detection on your log path
- Provider-native log pipeline with full anomaly detection
- Optional OTel Collector for metrics and OTLP logs
- Dashboard controls: start, stop, restart, and queue management
Built for enterprise trust
Governed autonomy. Audit everything.
SSO, RBAC, executor governance, and immutable audit trails. AI-assisted, not AI-autonomous.
SSO and identity
SAML/OIDC single sign-on with MFA. Integrate with your IdP: Okta, Azure AD, Google Workspace, and more.
- Enterprise SSO via SAML 2.0 and OIDC
- MFA enforced for administrative access
- Session management and token rotation
RBAC
Role-based access control with least privilege. Scope permissions by team, environment, and action type.
- Granular roles: viewer, operator, approver, admin
- Environment-scoped access boundaries
- Regular access reviews and audit exports
Audit logging
Immutable logs of every agent recommendation, human approval, and executed action.
- Full incident and action audit trail
- Agent reasoning and confidence scores retained
- Export for SIEM and compliance workflows
Executor governance
Autonomous agents operate only within pre-approved policy. Human-in-the-loop by default.
- Pre-approved action catalog with rollback paths
- Multi-stage approval workflows
- Policy engine blocks out-of-scope execution
Read our principles for responsible AI and security boundaries.
Join design partners.
Get your passcode in minutes. 72 hours to explore ObservAI with your stack under NDA.