Store Your Own Telemetry Data. AI Teammates Query It Natively.
Keep your log, metric, and trace data in your own infrastructure—on-prem or your own cloud storage. AI Teammates connect directly to where your data lives, run investigations, triage alerts, and execute agentic workflows in real time. You own the storage. They do the work.
You shouldn't have to choose between owning your data and using AI to investigate it.
Most AI observability tools require you to send data to their platform before they can act on it. That forces teams with compliance requirements, existing storage investments, or cost constraints into an impossible trade-off. There's a better architecture.
Vendor Storage Lock-In
Sending logs to an AI platform means paying for their storage, accepting their retention policies, and handing over your most sensitive operational data.
Self-Hosted Without Intelligence
Running your own log infrastructure gives you control, but leaves your team doing manual investigation. The AI tools worth using don't support your storage setup.
Duplicate Infrastructure
Building a parallel pipeline to feed data into an AI tool means double the cost, double the complexity, and context that's always slightly stale by the time the AI sees it.
Your storage. Full AI Teammate workflows.
Edge Delta's AI Teammates connect to your existing telemetry data storage—whether that's on-prem, S3, GCS, Azure, or your private cloud—and query it directly. Investigations, alert triage, anomaly detection, and agentic workflows all run as normal.
AI Teammates pull data from your storage via MCP, no export step or custom integration work needed. Once connected, they start running investigation workflows immediately.
Edge Delta pipelines handle ingestion, routing, and filtering at the edge, so AI Teammates receive curated, high-signal context.
Use Edge Delta's interface to trigger investigations, visualize signals, and review findings, while the underlying telemetry data stays exactly where you stored it.
Bring your storage. We'll bring the AI.
See how AI Teammates connect to your existing log infrastructure and run full investigation workflows without moving your data.
Trusted By Teams That Practice Observability at Scale
“This is not just about doing what you used to do in the past, and doing it a little bit better. This is a new way to see this world of how we collect and manage our observability pipelines.”
Ben Kus, CTO, Box
Join Engineering Teams That Are Embracing AI
It only takes a couple of minutes to start running AI Teammates in production.