Endless hours troubleshooting
When an agent fails or slows down, there's no single place to see why it failed, where the latency is, or how many users and jobs are affected.
Complete visibility, governance, and cost control over your fleets of AI agents. It ingests the OpenTelemetry your agents already emit and turns it into centralized observability of reliability, latency, cost, behavioral drift, and compliance. Powered by the OliverDB telemetry engine, it runs entirely in your own cloud — so your data never leaves your environment.
Four things every team hits once agents reach production.
When an agent fails or slows down, there's no single place to see why it failed, where the latency is, or how many users and jobs are affected.
Spend keeps climbing, but you can't tie it to an application, team, or model — or prove where to cut it.
You can't tell whether a new prompt or model will regress quality, latency, or cost until it's already running in production.
You can't show which policy governed a decision, mask sensitive data by role, or produce audit-ready evidence when compliance asks.
Similar failures are clustered and classified (code / deployment / dependency), with blast radius, AI-assisted root cause, and suggested fixes. → Lower MTTR.
See cost by application, agent, model, owner, and location, with evidence-backed, confidence-scored optimizations and suggested alternatives. → Lower AI spend.
Validate a new version through a limited release, A/B-tested against real past executions, before rolling it out to the fleet. → No regressions in production.
Every decision tied to a versioned policy, with role-based masking and exportable, audit-ready evidence. → Reduced compliance risk.
Deploy in your own cloud (BYOC). Your data never leaves your environment.
Comparable capability at a fraction of the total cost of ownership.
Petabyte-scale telemetry storage and analytics at a fraction of the cost, without the operational complexity.
Model-driven and hot-deployable — and we help you customize workflows and extend it to your needs.
One platform spanning the full lifecycle of an agent fleet, from live telemetry to conversational investigation.
Agents stream spans, logs, events, and metrics over OTLP. Non-standard or extended telemetry is mapped to OpenTelemetry at ingestion by OliverDB, at high speed — so you don't re-instrument your agents.
Dashboards, alerts, APIs, and MCP all read the same telemetry and AI-assisted analysis — from a browser or from an AI coding agent.
BYOC / on-premise deployment, customer-owned data, encryption, RBAC and field-level masking, versioned governance policies, and complete audit trails.
Entities, dashboards, and policies are metadata — hot-deployed without redeploying the platform.
SLOs, alert rules, policies, cost allocation, and thresholds are all yours to set.
Add your own functions, agents, channels, models, and data sources.
Simple annual tiers that scale with your fleet. The more you run, the less each million runs costs.
| Tier | Agent runs / month | Annual price | Effective / 1M runs |
|---|---|---|---|
| Starter | 5M | $25K | $417 |
| Growth | 25M | $50K | $167 |
| Scale | 100M | $100K | $83 |
| Enterprise | 500M | $200K | $33 |
| Custom | 500M+ | Custom | Negotiated |
Enterprise support: Standard support included. Premium, 24×7 mission-critical, and dedicated engineering support available.
Book a walkthrough with our team, in your environment, on your telemetry.