Bindplane, the Unified Telemetry Pipeline built on OpenTelemetry, today announced Pipeline Intelligence, a production-grade AI automation platform that fundamentally shifts telemetry pipeline management from manual construction to intelligent automation.
As organizations grapple with exploding data volumes driven by Gen AI adoption, Pipeline Intelligence automates 70-80% of pipeline work, automatically identifying log types, applying parsers, and optimizing configurations, returning weeks of critical engineering capacity to observability, security and data teams.
The launch addresses a growing crisis in enterprise infrastructure: Gen AI workloads are creating unprecedented telemetry data volumes that manual pipeline management cannot handle. Converging data streams from organizations monitoring LLM integrations, moving application telemetry to data lakes for model training, and managing operational scale alongside AI adoption overwhelm traditional approaches.
Building custom parsers today can take days per log type, potentially across hundreds of different log types in complex environments. Meanwhile, observability teams are spending cycles building pipelines instead of solving observability problems, and security teams spend time writing parsers rather than detecting threats.
Pipeline Intelligence transforms this work model by delivering solutions at 70-80% completion automatically, only requiring 20-30% fine-tuning by the experts. What used to take days per log source now takes minutes with the automation of identifying log types, intelligently selecting and applying parsers, and automating pipeline configuration based on the application of best practices without requiring deep pipeline expertise.
"Gen AI workloads are creating an explosion of telemetry data that manual pipeline management simply cannot handle," said Mike Kelly, CEO of Bindplane. "Pipeline Intelligence represents our commitment to solving real problems, not just adding AI features as checkboxes. It’s now possible to automate the tedious work—identifying log types, applying parsers, building configurations—so teams can focus on the 20-30% that requires human expertise. This isn't about marginal efficiency gains but returning weeks of engineering capacity every quarter and freeing experts to do the strategic work they were hired for."
Production-Grade AI, Not AI Theater
Unlike generic chat interfaces that feel like experiments, Pipeline Intelligence focuses on specific, actionable tasks that teams need to accomplish. The task-based interface of the platform allows users to define concrete objectives: parse logs and route to proper destinations; find anomalies in telemetry streams; and optimize pipeline configurations for performance. Pipeline Intelligence performs the work with production-grade reliability.
Bindplane purposely waited six months for AI models to mature before releasing automations specifically crafted for tasks that meet real user needs. The result is an AI solution exceeding the threshold of "10x efficiency" required for critical production pipelines, to be deployed to enterprises, rather than a marginal improvement that demos well but fails in production.
Vendor-Neutral Architecture for Rapidly Evolving Markets
With Pipeline Intelligence built on top of OpenTelemetry Collector integration, the architecture remains vendor-agnostic for organizations looking to switch downstream observability or security platforms without rebuilding pipelines. This flexibility guards against vendor lock-in and makes adaptation possible with less architectural debt as AI tooling evolves monthly with solutions constantly leapfrogging each other.
With OpenTelemetry collectors, customers retain ownership of the data plane, providing zero data custody, further democratizing pipeline management, and enabling teams to create optimized configurations without deep pipeline expertise.
Slam Dunk Efficiency Metrics and ROI
Pipeline Intelligence provides measurable capacity returns to engineering teams:
- Time to integrate new log source: Hours → Minutes
- Target percentage of pipeline work automated: 70-80%
- Target engineering capacity returned: 25-30% of time spent on pipeline work previously
Pipelines requiring 40% of an observability engineer's time could see Pipeline Intelligence return 25-30% of that engineer's week. For a fully-loaded engineer costing $200,000 annually, that represents $50,000-$60,000 in redirected value per year, multiplied across entire teams.
Availability
Officially announced today ahead of AWS re:Invent, Pipeline Intelligence general availability is targeted for the end of year 2025, with capabilities rolling out in stages. Local processing features will be available first, followed by stored telemetry with advanced AI features for customers who opt in.
About Bindplane:
Bindplane is an OpenTelemetry-native telemetry pipeline that gives organizations full control over how they collect, process, and route telemetry data. Built to manage fleets of up to one million collectors, Bindplane unifies configuration, deployment, and monitoring. It eliminates vendor lock-in by supporting Bring Your Own Collector (BYOC) and open-source OpenTelemetry standards, allowing teams to run their pipelines anywhere with full control. Fortune 100 companies rely on Bindplane to simplify telemetry operations, reduce costs, and improve data reliability at scale.
View source version on businesswire.com: https://www.businesswire.com/news/home/20251120235515/en/
Contacts
Media Contact:
Haleigh Kent-Bryant
10Fold Communications for Bindplane
bindplane@10fold.com
Tel: 810-516-5486