About Us
We Built the Platform We Wished We Had
Our Founder spent years as a data engineer managing fragmented infrastructure; more time duct-taping tools together than actually solving problems. Six tools, six vendor contracts, six points of failure just to get data from source to dashboard.
That's why Evan Rosa built the platform he always wanted: one AI-native tool that handles everything from raw data to dashboards, deployed in your cloud, built on Apache open standards. No data lock-in. No six-month rollout.
Built on Apache Open Standards
Our Mission
We exist to help leaders connect to their data with clarity and ease so they can focus on impact, not infrastructure.
Our Team
Meet the Founders
A small team with deep experience in data engineering, operations, and building products that actually ship.
Founder's Story
Why This Exists
I spent years as a data engineer managing fragmented infrastructure; more time duct-taping tools together than actually solving problems. When I was laid off in late 2024, I came within one interview question of taking the safer path. Instead, I went all in on the platform I wished existed.
The thesis is simple: AI is only as good as the data behind it. Every company needs clean, accessible data but most can't afford the $25-100K/month stack or the 4-6 month hiring timeline to get it. OptimaFlo gives mid-market businesses enterprise-grade data capabilities without the enterprise-grade price tag or headcount.
The shovel in the gold rush.
Up to 90%
Cost savings vs. traditional stack
Minutes
Time to first pipeline
100%
Open-source data layer
Simplicity Over Complexity
If a data engineer can’t set it up in an afternoon, we’ve failed. Every feature we ship must reduce complexity, not add it.
Your Data, Your Rules
Your data never touches our servers. BYOC deployment means you own every byte, every query, every pipeline. Always.
Open Standards, No Lock-In
We build on Apache Iceberg, Airflow, and Spark; not proprietary formats. If you ever leave, your data goes with you.
AI as Teammate, Not Gimmick
AI should do the tedious work like writing SQL, inferring schemas, catching quality issues so humans can focus on decisions.
AI-native data platform. From raw data to business dashboards powered by Apache open standards, visual pipeline building, and AI agents that handle the heavy lifting.
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