Custom AI SRE Solutions, Tailored for your
Production Environment.
DataTroops investigates incidents for you: AI agents run inside your infrastructure reading logs, correlating deploys, and finding root cause in minutes with systems engineers handling the edge cases. Less on-call, more shipping.
The Quiet Tax on Every Engineering Team
Every alert kicks off the same ritual: someone drops what they're doing, opens four dashboards, greps three log systems, checks what shipped recently, and rebuilds from scratch a diagnosis the team has already done a dozen times.
Diagnosis is where the time goes.
Finding the cause takes hours; the fix takes minutes. Across the teams we analyze, more than half of resolution time is spent just locating the problem not solving it.
The Same Incidents Keep Coming Back
Kafka consumer lag. Connection-pool exhaustion. Month-end OOMKills. Known patterns, re-diagnosed by hand every time because the playbook lives in one senior engineer's head.
Your Best People Pay the Highest Price
Hard incidents escalate upward, so your most expensive engineers lose their weeks to support toil while the roadmap quietly slips.
Alert Noise Has Trained Your Team to Look Away
When 20 alerts fire for every real incident, on-call stops trusting the pager. Eventually a customer spots the outage before you do.
This isn't a discipline problem. It's an automation problem and it's finally solvable.
An AI teammate that investigates. Engineers who close the loop.
The moment an alert fires, our agent starts investigating inside your infrastructure, on your data, before a human even looks.
Investigates Like Your Best Engineer
Pulls the relevant logs, metrics, and traces, checks what deployed in the last hour, and compares against every past incident running the diagnostic path your senior engineer would, in minutes, at 3 AM, without waking anyone.
Delivers Evidence, Not Guesses
Posts a root-cause analysis to Slack with the receipts attached log lines, query plans, deploy diffs, lag graphs and drafts the Jira ticket with repro steps. You see why, not just what.
Acts Only With Your Approval
Two permission tiers, always. Investigation is autonomous and read-only; any remediation restarts, query kills, traffic shifts wait for one-click approval, with a full audit log of evidence, reasoning, and approver.
Backed by Real Engineers
The ~25% of incidents that actually matter escalate to our pod systems engineers with deep JVM, Kafka, Scala, and Rust experience. AI handles the recurring; humans handle the rare. Full coverage, not a tool to babysit.
Why Not Just Buy an AI SRE Tool?
You can, and for some teams, a SaaS tool is the right call. We're built for the teams where it isn't.
Your Stack Is the Hard Kind
JVM services, Kafka pipelines, Spark jobs, custom Scala systems. Off-the-shelf tools are trained on generic web-service incidents. They stall exactly where your incidents are worst. Our engineers work in these stacks daily.
Your Telemetry Can't Leave
Fintech, payments, regulated data. Our agents deploy fully inside your VPC (self-hosted, zero data egress) with redacted LLM context or a fully self-hosted model if compliance demands it.
Nobody Has Time to Run Another Tool
AI SRE platforms still need someone to integrate, tune, and act on findings. We're a managed service: we run the agents, tune the agents, and answer the escalations. You receive outcomes, not dashboards.
A Fraction of a Hire, Not an Enterprise License
Our managed pods cost less than the support engineers you'd otherwise hire and far less than the roadmap time you're currently burning.
How We Bring AI Into Your Production Operations
Production Health Assessment
We analyze 90 days of incident history: Jira, PagerDuty, Slack, your observability stack and deliver a report your CFO and your on-call engineers will both believe: what production support actually costs you, which patterns eat your team, and exactly what's automatable. Fixed price, useful even if you never hire us again.
Incident Automation Pilot
We deploy investigation agents against your top 2–3 incident patterns, in your environment, with success metrics agreed in writing before we start. You measure the results yourself.
Managed AI Production Support
Our Human+AI pod takes L1/L2 production support off your team entirely. Coverage expands monthly. Your engineers get paged only for the genuinely novel. Monthly reporting on coverage, accuracy, and hours returned.
Engineers first. That's the whole point.
DataTroops is an engineering company. Our team has spent years building and operating mission-critical production systems using Scala, Rust, and the JVM technologies across trading platforms, payment systems, and large-scale data pipelines. We built our AI SRE platform because we've experienced the challenges of on-call engineering firsthand.
Find out what production support actually costs you.
The assessment takes 2–3 weeks, needs only read-only API access, and produces numbers from your own systems not benchmarks. Most teams are surprised. Some are horrified.
- 2–3 week turnaround, from kickoff to final report
- Read-only API access nothing invasive, nothing to install
- Real numbers from your own systems, not industry benchmarks
- A detailed view of production support costs and automation opportunities
FAQs
We take L1/L2 production support off your engineers. Our AI agents investigate incidents by reading your logs, traces, metrics, and past incident history to find the likely root cause, and our engineers verify, escalate, or resolve.
It's a managed service: we run the agents, tune the agents, and answer the escalations. You get outcomes, not another dashboard to babysit, and your team gets paged only for the genuinely novel.
AI SRE platforms still need someone on your team to integrate them, tune them, and act on their findings, usually your most senior engineer. We're a managed service, not a tool.
We own the setup, the tuning, and the escalations. You measure the results yourself: coverage, accuracy, and hours returned in monthly reporting.
Your telemetry never leaves your environment. Our agents deploy fully inside your VPC (self-hosted, with zero data egress, redacted LLM context) or a fully self-hosted model if compliance demands it.
It's built for fintech, payments, and regulated data from the ground up, so your logs and traces stay exactly where they already live.
You start with a Production Health Assessment: 2–3 weeks, read-only API access, and a fixed-price report with numbers from your own systems, not benchmarks. It's useful even if you never hire us again.
From there, managed pods cost less than the support engineers you'd otherwise hire and far less than the roadmap time your team is currently burning on firefighting.