AI-driven Root Cause Analysis for modern infrastructure
RootMind helps SRE and Ops teams uncover the underlying cause of incidents in minutes — correlating metrics, logs, and traces through an explainable reasoning engine powered by AI.
Our Main Features
Privacy-first
Hybrid architecture keeps raw telemetry within customer boundaries — we only request minimal data required for analysis.
Vendor-agnostic
Integrates with Prometheus, Grafana, OpenTelemetry, Jaeger, Elasticsearch and major observability stacks.
Explainable AI
Every RCA includes provenance: what queries were executed, what data was used, and the reasoning behind each suggestion.
Vision
RootMind is building the intelligence layer atop open observability stacks — helping teams shift from reactive firefighting to proactive reliability. Our long-term vision is a platform that not only finds root causes but prevents them through continuous learning and automated remediation playbooks.
Why now?
- Explosive growth of microservices increases operational complexity
- Teams prefer hybrid observability stacks over vendor lock-in
- LLM-driven reasoning now enables human-like diagnostic workflows
Product & Technology
RootMind is an AI-powered Root Cause Analysis SaaS platform, specifically designed for SRE and Operations teams. Our solution drastically reduces incident diagnosis time through intelligent correlation of observability data.
The Problem We Solve
SRE teams spend hours manually investigating incidents, correlating data across multiple tools (Prometheus, Grafana, Jaeger, Elasticsearch). In modern microservices environments, identifying the root cause of failures can take 2 to 8 hours, impacting MTTR (Mean Time To Resolution) and service availability.
Our Solution
RootMind automates root cause analysis through an AI engine that:
- Connects to your existing observability tools
- Automatically correlates metrics, logs, and traces
- Identifies anomalies and patterns using machine learning
- Provides explainable diagnostics with clear evidence
- Continuously learns from team feedback
Architecture and Components
RootMind Agent
Status: Functional Beta
Lightweight agent that runs inside customer's VPC/Kubernetes. Executes local queries (PromQL, Elasticsearch DSL, OTLP) and transmits only aggregated results, ensuring data privacy.
RCA Analysis Engine
Status: Active Development
LLM orchestration system, knowledge graph, and query planner that define diagnostic paths and interpret results with complete explainability.
Integrations & API
Status: Core Connectors Developed
Native connectors for Prometheus, Jaeger, Elasticsearch, Grafana, CloudWatch, and Datadog. Complete REST API for custom integrations and webhooks.
How It Works
Start of Analysis
Select and execute the appropriate knowledge base (KB) in the RootMind console
Data Collection
The AI agent interprets the KB and collects relevant metrics, logs, and traces from the incident period
AI Analysis
RCA engine correlates data, identifies anomalies and generates hypotheses
Diagnosis
Root cause presented with evidence, timeline, and recommendations
Current Development Stage
Base Integrations - Connectors for major observability tools: Prometheus, Elasticsearch/OpenSearch, Jaeger
AI Engine - Correlation and analysis system with LLMs
User Interface - User interface for creating KBs and running analyses
Beta Pilot - Program with selected clients (Q4 2025)
Live Demo - Demo account (simulated environment with workload) on the platform (Q1 2026)
Public Launch - General platform availability (Q2 2026)
Target Metrics
See RootMind in Action
Get to know our platform through a detailed presentation and stay tuned for access to the interactive demo.
Interactive Demo
Experience the RootMind platform in a simulated environment with real observability data.
Sign up to be notified when the demo becomes available
Notify MeOur Team
Team with over 20 years in distributed infrastructure, high-criticality systems, and automation.
Everton Martins
Founder & Engineer
Everton Martins is a recognized specialist in SRE, distributed infrastructure, and observability, with 22 years of experience building scalable, high-reliability platforms. He has led Foundation and engineering platform teams, driving innovation and operational excellence across startups at various stages of growth.
Certified in GCP, AWS, Azure, and Elasticsearch Engineer, and holding an Innovation credential from MIT, Everton combines deep technical expertise with strategic vision to turn technology into tangible business outcomes. Today, he focuses on integrating AI, cloud, and advanced engineering to create solutions that elevate organizational performance and resilience.
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Jefferson Cunha
Supporter & Backend Engineer
Jefferson Cunha is a Python developer and artificial intelligence enthusiast, dedicated to building intelligent and scalable solutions. He combines technical skill with continuous curiosity to develop tools that drive innovation and deliver high-impact results.
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Thiago Dias
Supporter & Frontend Engineer
Thiago Dias is a PHP and CSS developer, passionate about interface design and user experience. He focuses on creating modern, intuitive, and visually consistent solutions, combining technical expertise with aesthetic sensibility to deliver digital products that enhance usability and visual impact.
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Contact
If you are an investor, partner, or pilot customer interested in evaluating RootMind, please reach out:
Or visit: www.rootmind.com.br
LinkedIn: www.linkedin.com/company/rootmind