The Agentic SIEM for the enterprise
Detect threats, investigate alerts, and hunt with humans and AI agents working together across your security data, wherever it lives.
Your data lake is hard to search
Finding answers shouldn’t require new tools, predefined schemas, rebuilt workflows, or another pipeline.
A second search tool
Analysts leave the SIEM they already trust to investigate in another interface.
Predefined schemas
Someone has to define and maintain a schema before a single query runs.
Rebuilt workflows
Every playbook, alert, and dashboard has to be recreated for a new search engine.
Another pipeline
Copying or rehydrating logs into a separate system just to search them adds cost and complexity.
Search logs where they already live
Search more security data, lower costs, and keep the tools your team already knows.
More searchable data
Investigate across sources and history previously out of reach.
Query unstructured logs directly in your data lake. No schemas or catalogs required.
Same workflows
Keep your existing SIEM dashboards, detections, and alerts.
Connect to Imply Lumi through federated search and keep using your existing SIEM frontend.
Lower costs
Retain more security data without keeping it all in your SIEM.
Lumi is more than an order of magnitude more efficient than legacy SIEMs.
With Imply Lumi, we can ingest more data, retain it longer, pull in telemetry from platforms beyond Splunk, and still understand what our costs will look like as we scale. It’s fundamentally changed how our team operates.
Rafael Hass
Security Information Manager, BTG Pactual
Works with existing SIEM frontends and modern agents
What if saving money didn’t mean replacing anything?
Lumi sits underneath Splunk, Grafana, and the rest of your stack. Nothing to rip out. Nothing to relearn.
Decoupling the observability stack gives teams the freedom to do more while spending less. Just as decoupling transformed business intelligence, Imply Lumi brings that same flexibility and control to observability — without requiring teams to abandon the tools they already rely on.
FJ Yang
Founder & CEO, Imply
More data, more use cases, all on the stack you already run
Built for scale, priced for reality
Lumi is more than an order of magnitude more efficient than legacy SIEMs. Query Lumi using SPL and SQL.
Up to 13x faster searches
Query latency, p95: before and after Imply Lumi
Ready to spend less and see more?
No workflow changes. No migrations. More data, less spend.
Our values
In 2015, our founders created Apache Druid: the open source database still running real-time analytics inside thousands of companies. That was day one of an 11-year push to make your systems easier to see into, without paying more every year. Polaris carried that push into the cloud. Lumi is its newest, sharpest expression: built for the person watching the bill, not just the one writing the query.
People first
We hire for judgment, not just skill, and back people when they’re right, even when inconvenient.
Giving our best
We’d rather ship something we’re proud of a week late than something mediocre on time.
Powering change
We built our company on open source because the best ideas should win, not just the best-funded ones.