Migrate to OpenTelemetry—on your timeline

Mezmo makes OTel adoption practical. Transform exisiting telemetry in-flight, migrate team-by-team as capacity allows, and process at the edge—without reinstrumenting a single service.

Business-aligned timelines
Migrate services as teams have capacity. No big-bang re-instrumentation, no blown sprint schedules — deliver OTel progress without disrupting other priorities.
Automatic data conformance
Transform existing telemetry to OTel semantic conventions in-stream, at the edge. Proprietary agent data becomes OTel-native without touching your applications.
Keep your current tooling
Continue using Datadog, Dynatrace, New Relic, or any OTel-compatible destination. Route standardized data without switching vendors on day one.
How it works
An intelligent pre-processing layer, Mezmo sits between you and full OTel

Ingest from any existing resource: Connect your current agents, exporters, and proprietary formats. No application changes required.

Transform to OTel in-flight: Mezmo normalizes data to OTel semantic conventions in the pipeline—schema mapping, field renaming, and type coercion handled automatically.

Route to any OTel-compatible destination: Send clean, standardized telemetry to your existing backends or new OTel-native destinations—with no observability gap during the transition.

Migrate services incrementally: Move teams and services to native OTel instrumentation on their own schedule. Mezmo handles the mixed-signal environment until the migration is complete.

Key capabilities

Built for the messy middle of migration

Every capability is designed to close the gap between "OTel mandated" and "OTel complete"—without making the migration the thing that breaks your reliability.
Agentic RCA workflows

Automated, multi-step analysis plans that travers your infrastructure, validate findings, and converge on a defensible root cause.

Noise-free, high fidelity signals

Only the most relevant data is analyzed, reducing token usage and improving MTTR up to 80%.

Smart data processing

Deduplication and clutering of log data before AI analysis, cutting costs and improving spped.

Structured recommendations

Receive clear RCA summaries with technical details and step-by-step remediation guidance.

Third-party integrations

Out-of-the-box support for PagerDuty, Slack, and more with expanded ecosystems coming soon.

Scalability and security

Designed to handle petabytes of data, with enteprise-grade security, multi-region deplooyment and robust failover mechanism.

Real results from real teams

90%
Cost reduction

From $1-$6 per incident to $0.06 due to prioritized context over excessive prompting.

-Mezmo benchmarking

90%
Faster MTTR via agentic diagnosis

On a daily basis, troubleshooting tasks that used to take our engineers 10-30 minutes of log spelunking are now resolved in under 5. It directly gives us back engineering days, allowing us to focus on innovation instead of firefighting.

— Senior Software Engineer

1st-try accuracy
Root cause analysis with less prompting

Clean context beats clever prompting. Mezmo's context-first pipeline reduced prompt bloat and stabilized outputs, improving quality while cutting per-incident costs.

— AI Engineer

Explore more

Browse resources to learn more about how it works
Learn
Agentic AI: what is model context protocol
eBook
How 10 Mezmo customers used Telemetry Pipelines to streamline data and cut noise
Blog
The answer to SRE agent failures: context engineering
Blog
Observability's Moneyball moment: how AI is changing the game (not ending it)

Start finding root cause faster

Transform your incident diagnoses with intelligent root cause analysis that cuts through the noise to find real answers fast.