The control plane for enterprise observability.
ObservableAI is the enterprise platform behind Driftdog, our core product for drift-aware production visibility across logs, metrics, alerts, incidents, and operational change.
Brand structure: ObservableAI carries the enterprise platform story. Driftdog is the product buyers can evaluate, demo, and adopt.
Logs
event search
Metrics
latency
Traces
request flow
Incidents
owner context
Global Production
Live service posture across 128 services
Service health
SLO, latency, and event volume
Incident timeline
Open incident: checkout latency
Alert opened
Checkout p95 crossed SLO for 8 minutes.
Owner assigned
Payments team joined incident response.
Cause linked
Trace errors tied to auth provider retries.
Two sites, one operating story.
ObservableAI builds credibility for the broader enterprise platform. Driftdog is the focused product surface for demos, screenshots, and product-led sales.
ObservableAI
Enterprise platform and company layer for observability, governance, and customer trust.
Driftdog
VisitCore product for drift-aware production visibility across logs, metrics, alerts, and incidents.
Designed to fit the systems already on your critical path
Evaluation guide
How enterprise teams compare observability platforms.
The right choice is not just a prettier dashboard. It is whether the platform makes ingestion, investigation, response, and evidence review easier under real operational pressure.
Ingestion and signal model
Compare OpenTelemetry support, structured logs, trace correlation, and how fast teams can onboard a new service.
Incident workflow
Look for alerts, ownership, timelines, and evidence flow in the same product instead of bolted-on handoffs.
Deployment and controls
Enterprise buyers care about tenancy, auditability, data boundaries, and how the platform fits regulated environments.
Retention and cost
A serious platform makes query depth, cost visibility, and data retention tradeoffs visible before they become budget surprises.
Platform overview
Built around the operational workflow, not another wall of charts.
ObservableAI starts with the work teams actually do: detect an issue, understand blast radius, find the cause, coordinate response, and preserve the evidence.
Logs Explorer
Search production events by service, severity, trace ID, environment, and time window.
Metrics & Dashboards
Track latency, error rate, throughput, saturation, spend, and service health in one view.
Distributed Tracing
Follow requests across services, jobs, APIs, vendors, and downstream dependencies.
Incident Management
Turn alerts into incident timelines with owners, status, context, and response history.
AI/LLM Observability
Optional module for model calls, prompt traces, cost anomalies, and drift signals.
Command center
The incident room, service map, and signal explorer in one place.
Start with system posture, drill into a service, and keep the incident timeline tied to the evidence that matters.
System health
Active alerts
Incident timeline
Production Command Center
Last 24 hours
System health
99.98%
Error rate
0.18%
p95 latency
412ms
Active incidents
3
Metrics
Latency and throughput
Alerts
Checkout p95 latency above SLO
LLM routing cost anomaly
Eligibility dependency failures
Live logs
Why ObservableAI
For teams that operate systems where downtime is expensive.
Observability should shorten the path from symptom to cause. ObservableAI focuses on the operational workflow: detect, investigate, respond, and learn.
Shorter incident loops
Correlate alerts, service health, traces, and logs before the first status update.
One operating view
Bring applications, infrastructure, workflows, and AI-enabled services into one model.
Cost-aware reliability
Put cost pressure beside performance and reliability so teams can make better tradeoffs.
Enterprise control
Tenant boundaries, audit logs, API keys, retention policy, and security review discipline.
Security and compliance
Enterprise controls from the start.
ObservableAI is designed for teams that need auditability, access control, tenant boundaries, and deployment options that can satisfy serious security review.
SOC2 ready
Evidence collection, audit trails, and control mapping.
HIPAA aligned
Sensitive-data handling and tenant-aware retention patterns.
Enterprise controls
RBAC, API keys, rate limits, audit logs, and private deployment paths.
Ready for a practical observability rollout?
Put every critical signal in one operating view.
See how ObservableAI can help your team connect logs, metrics, traces, alerts, and incidents into one command center.