DataTroops AI

DataTroops is an AI SRE and engineering company helping teams reduce production support and incident investigation workload. Its AI investigation agents run inside customers' environments to analyze logs, metrics, traces, deployments, and incident history, helping teams identify root causes faster while experienced engineers handle complex and novel incidents.

Its AI SRE solutions run within customers’ own cloud environments, allowing telemetry to remain within their infrastructure. DataTroops provides Production Health Assessments, Incident Automation Pilots, and Managed AI Production Support, along with embedded AI SRE, backend development, and data engineering services. Backed by engineering expertise in Scala, Rust, JVM technologies, Kafka, trading platforms, payment systems, and large-scale data pipelines, DataTroops focuses on building scalable, secure, and reliable solutions for modern production environments.

Why Partner with DataTroops?

• AI + Human Expertise: AI agents handle recurring investigation work while experienced systems engineers handle complex and novel incidents.

• Runs in Your Environment: Agents run inside your cloud environment, keeping telemetry within your infrastructure.

• Managed Service: DataTroops manages the agents, tuning, investigation workflows, and escalations, so teams don't have to manage another platform.

• Production Engineering Expertise: Experience across JVM, Scala, Rust, Kafka, payment systems, trading platforms, and large-scale data pipelines.

• Measured Outcomes: Production Health Assessments and Incident Automation Pilots use customers' own operational data to identify recurring incident patterns and automation opportunities.

• Flexible Engagement: Teams can start with a Production Health Assessment, move into an Incident Automation Pilot, and then expand into Managed AI Production Support.

At DataTroops, we believe production support should be smarter, faster, and built around engineering excellence. Our mission is to help teams reduce on-call burden by combining AI agents with experienced systems engineers to investigate incidents, identify root causes, and resolve recurring production issues.