Enterprise Data Power, Startup Simplicity

The Legacy of Complexity

Traditional data tools were built for a different era. ETL platforms, data warehouses, and BI tools were created with large enterprises in mind, assuming the presence of specialized teams - ETL developers, BI analysts, data engineers, and DBAs. This legacy continues to shape how businesses approach data today, forcing them to either hire specialists or struggle with tools that weren't designed for their reality.

The Cost of Over-Engineering

Having architected large-scale data systems processing petabytes of data, we've seen firsthand how distributed systems and big data tools, while powerful, come with hidden costs. The truth is, most growing companies don't need this scale of complexity. They need clear insights from their data without the overhead of managing complex distributed systems.

We've seen teams struggle with:

• Multiple specialized roles just to get basic insights
• Complex data pipelines that break frequently
• Tools that require extensive training and certification
• High costs of maintaining data infrastructure

We built Autonmis to break this pattern.

Today's Reality: Lean Teams, Big Expectations

A New Approach to Data

Our vision emerged from a simple observation: Growing companies need enterprise-grade data capabilities, but not enterprise complexity. We've rearchitected the entire data stack with this principle in mind.

Our Commitment

While others sell you tools and leave you to figure out the rest, we deliver a complete solution. Everything you need to work with data, nothing you don't.

Join Companies Making Data Work

• →Getting insights in minutes instead of days
• →Running their entire data workflow without dedicated data teams
• →Making decisions based on data, not intuition
• →Focusing on business outcomes, not data infrastructure