Privacy by architecture, not by policy
A Docker agent runs inside your infrastructure and masks PII, secrets, and sensitive debug data before transmission. GDPR Article 25 and LGPD-aligned by design — not by a pinky promise.
About CauseFlow
AI that investigates production incidents, so your engineers don't have to.
Our mission
Make production reliability accessible to every engineering team — not just the ones with six-figure observability budgets. We believe the next decade of software will be defined by how fast teams ship AI-generated code, and how fast they can recover when that code breaks. CauseFlow exists to close that gap.
Why we built CauseFlow
Why is a machine still waiting on a human to correlate logs?
I spent 13 years in engineering, the last years as an Engineering Manager leading SRE, Security, and GenAI teams at Pagaleve, a Brazilian fintech. Production incidents weren't an occasional fire — they were a weekly ritual. System down. War call on Slack. Seven engineers scrolling through CloudWatch, GitHub commits, and stale dashboards, trying to piece together what broke. Hours lost. Post-mortem written in a rush the next morning.
One question kept coming back: why is a machine still waiting on a human to correlate logs?
The tools that existed were built for U.S. enterprises with compliance teams, six-figure budgets, and English-speaking engineers. For most teams in Brazil and Latin America, they were either unaffordable, inaccessible, or — and this is the part nobody talks about — impossible to adopt because they required shipping sensitive production data to a vendor's cloud. Finance, healthcare, and regulated industries just couldn't say yes.
So we built CauseFlow. An AI agent that investigates incidents the way your best on-call engineer would — except it runs inside your infrastructure, masks sensitive data before anything leaves your environment, and delivers a root-cause timeline in minutes. Not a chatbot. Not a summarizer. An investigator.
What makes us different
Principles, not slogans.
Usage-based pricing
No seat licenses. No annual contracts. You pay for what you use, which means we only win when you win.
Built by engineers who lived the 3 AM
Every product decision is pattern-matched against real incident response — not a PM's whiteboard.
Founder
VC
Vinicius Carvalho
Co-Founder & CEO
13+ years in engineering. Most recently Engineering Manager leading SRE, Security, and GenAI teams at Pagaleve. Lived the war call cycle that CauseFlow now automates.
Based in São Paulo
We're a small, deliberate team. We'll scale when the work demands it — not before.
Stop chasing logs.
Start building product.
Connect your stack in minutes and investigate real incidents on your infra. No contract, no card.