About ControlTheory

ControlTheory provides an observability control platform that allows organizations to actively manage and optimize their telemetry data. The platform enables cost control through intelligent filtering, enhances root cause analysis, and uses dynamic feedback loops to adjust telemetry in real time. This helps businesses shape their data collection rather than passively receiving it.

```xml <problem> Organizations face challenges in managing the increasing volume and complexity of telemetry data, leading to high observability costs and difficulty in extracting actionable insights. Existing observability tools often lack the ability to actively shape and optimize telemetry data, resulting in wasted resources and delayed root cause analysis. </problem> <solution> ControlTheory provides an observability control platform that enables organizations to actively manage and optimize their telemetry data, leading to reduced costs and improved operational efficiency. The platform adds controllability to existing observability systems without requiring replacement, allowing users to detect and control telemetry spikes, eliminate waste, and increase efficiency. By leveraging elastic telemetry pipelines with dynamic feedback loops, ControlTheory enables continuous improvement and adjustment of telemetry data in real time. The platform integrates with existing telemetry sources and observability endpoints, optimizing logs, metrics, traces, and profiles for delivery to user dashboards. </solution> <features> - Pinpoints telemetry spikes and cost hotspots, enabling proactive cost management - Reduces cardinality of custom metrics to optimize observability spending - Filters, deduplicates, and reroutes logs to eliminate unnecessary data - Provides traceback capabilities to identify the source of telemetry issues by organization, team, application, or user - Reduces mean time to identification (MTTI) and mean time to resolution (MTTR) through improved signal-to-noise ratio - Manages and governs OpenTelemetry (OTel) collector fleets at scale - Offers dynamic feedback loops for continuous improvement and adjustment of telemetry pipelines - Integrates with over 200 sources, destinations, and processors, including AWS, Azure, Datadog, and Prometheus - Supports masking and redaction of sensitive PII data for compliance and secure data sharing </features> <target_audience> The primary target audience includes platform engineers, SREs, operations teams, engineering leaders, and development teams seeking to control observability costs, improve root cause analysis, and gain better insights from their telemetry data. </target_audience> <revenue_model> ControlTheory offers a free trial and a Pro plan with unlimited data ingest/egress, with custom pricing available for enterprise clients requiring dedicated support, agents, and pipelines. </revenue_model> ```

What does ControlTheory do?

How much funding has ControlTheory raised?

ControlTheory has raised 5000000.

Funding

5000000

Employees

5 employees

Major Investors

Silverton Partners

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ControlTheory

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Executive Summary

controltheory.com 500+

Crunchbase

Funding

Estimated Funding

$5M+

Major Investors

Silverton Partners

Team (5+)

No team information available.

Company Description

Problem

Organizations face challenges in managing the increasing volume and complexity of telemetry data, leading to high observability costs and difficulty in extracting actionable insights. Existing observability tools often lack the ability to actively shape and optimize telemetry data, resulting in wasted resources and delayed root cause analysis.

Solution

ControlTheory provides an observability control platform that enables organizations to actively manage and optimize their telemetry data, leading to reduced costs and improved operational efficiency. The platform adds controllability to existing observability systems without requiring replacement, allowing users to detect and control telemetry spikes, eliminate waste, and increase efficiency. By leveraging elastic telemetry pipelines with dynamic feedback loops, ControlTheory enables continuous improvement and adjustment of telemetry data in real time. The platform integrates with existing telemetry sources and observability endpoints, optimizing logs, metrics, traces, and profiles for delivery to user dashboards.

Features

Pinpoints telemetry spikes and cost hotspots, enabling proactive cost management

Reduces cardinality of custom metrics to optimize observability spending

Filters, deduplicates, and reroutes logs to eliminate unnecessary data

Provides traceback capabilities to identify the source of telemetry issues by organization, team, application, or user

Reduces mean time to identification (MTTI) and mean time to resolution (MTTR) through improved signal-to-noise ratio

Manages and governs OpenTelemetry (OTel) collector fleets at scale

Offers dynamic feedback loops for continuous improvement and adjustment of telemetry pipelines

Integrates with over 200 sources, destinations, and processors, including AWS, Azure, Datadog, and Prometheus

Supports masking and redaction of sensitive PII data for compliance and secure data sharing

Target Audience

The primary target audience includes platform engineers, SREs, operations teams, engineering leaders, and development teams seeking to control observability costs, improve root cause analysis, and gain better insights from their telemetry data.

Revenue Model

ControlTheory offers a free trial and a Pro plan with unlimited data ingest/egress, with custom pricing available for enterprise clients requiring dedicated support, agents, and pipelines.