NEWAI-ready runtime + MCP operations

Keep your options open: any SIEM, APM, or lake

Control logs, metrics, traces, and events before they're ingested.

Reduce ingest cost, protect sensitive fields, and route the right data to the right tools-without vendor lock-in.

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View the control-before-ingest diagram →

Reduce ingest costs

Filter noise and shape data upstream.

Governance by design

Mask, route, and audit consistently.

AI-ready pipelines

Prep, infer, and route in one governed workflow.

Versioned pipelines

Roll forward, roll back, stay confident.

Control before ingest

Pipeline snapshot

Control before ingest.

Collect → Transform → Route → Govern → Observe

Sources

Agents, SDKs, services, edge

Actions

Filter · Mask · Enrich · Sample

Govern

Policies + audit

Observe

Trace decisions

Destinations

SIEM · Observability · Archive · Analytics

Control plane (Server) defines pipelines. Workers execute them close to data sources.

Control before ingest, not the fallout.

Without LyftData

Tool-specific agents and rules sprawl.
Ingest cost rises before shaping happens.
Governance drifts across clusters and vendors.
Visibility is fragmented across tools.

With LyftData

One model: Server → Workers → Jobs.
Control before ingest—ahead of metered tools.
Governance and traceability by default.
Visibility across the pipeline by design.

What you get

What teams get when control happens before ingest.

Lower ingest cost

Shape and route upstream before metered tools ingest raw volume.

Governance by default

Apply masking and governance once, with traceability across the pipeline.

Tool mobility

Keep pipelines stable even as SIEM, observability, and storage tools change.

Full-fidelity archives

Store long-term archives in storage you control for replay and investigations.

Explore the product

Choose your starting point

Explore a real solution path, then tailor it to your environment.

Observability

Keep signal, drop noise, and route the right telemetry to the right tools.

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Security

Redact secrets/PII and enforce policy before data leaves your control.

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Data

Send the same events to your lake, warehouse, and tools without re-instrumenting.

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AI & Agentic

New

Prepare governed datasets, run inference in-flow, and operate with MCP-enabled agents.

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AWSView integrations: AWS
AzureView integrations: Azure
Google CloudView integrations: Google Cloud
Microsoft WindowsView integrations: Microsoft Windows
DatadogView integrations: Datadog
SplunkView integrations: Splunk
View integrations

Who it's for

Choose a path based on your team's role and delivery mandate.

Security

Enforce masking and prove data lineage before telemetry reaches downstream tools.

SRE / Observability

Reduce ingest noise and keep pipelines traceable across your observability stack.

Platform / Data & ML Engineering

Standardize ingestion once, then ship training, evaluation, and inference paths without rewriting pipelines.

Ready when you are.

Explore AI workflows, see a routing policy example, browse use cases, or jump into the docs.

Explore AI workflows →See a real routing policy →Browse use cases →Read the docs →