Get the Right Data In,
Leave the Rest Behind

Most telemetry is clutter. Ingest every source that strengthens security and observability, while filtering out the 80% that’s just noise.
80%+ reduction
in low-value data makes room for new sources
AI-powered parsing
for any log format, onboard custom app logs in minutes
Ingest at Petabyte scale
from any source, route to any destination

Cutting Costs vs.
Creating Blind Spots

With data volumes exploding, the cost to analyze everything is unsustainable, but dropping high volume sources to stay in budget introduces dangerous blind spots. Valuable data, like custom app logs aren’t even considered because their unique formats don’t match your tool schemas. 

Bring in All the Signal and Leave the Clutter Behind

  • AI-powered Grok patterns: Detect and map custom schemas in minutes.
  • Expand visibility: Make room for new data sources within your ingest budgets.
  • Unify data collection: Replace legacy collectors, agents, and forwarders.
  • Process at petabyte scale: Ingest and transform data with no performance lag.
  • Standardize formats instantly: Normalize data to accelerate threat detection.

Onboard Any
Data Source.
Eliminate Blind Spots.

Organizations using Observo AI have added dozens of new telemetry sources, including complex custom application logs, without increasing ingestion costs. By cutting 80% of noise at the source and standardizing formats, they’ve improved detection accuracy, accelerated investigations, and eliminated blind spots.
  • Cut infrastructure and ingestion costs by 50%
  • Reduce noisy telemetry by 80%+
  • Accelerate threat detection and response by 40%
  • Automatically parse unknown data sources and onboard in minutes
  • Replace outdated agents, collectors and forwarders
  • Boost query performance by 50% with optimized datasets
Let’s talk about how Observo can help.
We looked at multiple solutions, but Observo AI stood out. We onboarded over 70 unique app schemas in days—and the platform has been running smoothly ever since.
Kirti Parida, DevOps Architect