Engineering Elite Data Systems

Technology Infrastructure and Strategic Partnerships

This company was founded on an outrageous vision to automate and scale elite decision making. We read about cognitive biases, studied world class poker players, and devoured the history of elite investors only to wonder why these insights aren’t baked into modern data technology. Great decisions require great feedback, and we’re here to manufacture it at scale.

We build technology infrastructure and partner with operators to improve decisions throughout organizations. Some decisions can be fully automated with machine learning while others require a human touch. In all cases, we’re committed to constant improvement and rapid feedback. This approach isn’t for everyone but if this is how you work, reach out.

Contact Us

hello@bomber.ai

Every decision is a bet. Placing a great bet depends on probabilities. Invest in the ability to produce trustworthy probabilities.

Expertise


Direct to Consumer

Direct to consumer is first principles business at its finest: acquire customers, create value, and collect money at scale, ideally for a profit. Scale and profitability depend on high quality decisions being made with rapid feedback. We build data systems for elite operators to attract, convert, and retain more customers with less overhead. The right data reliably delivered at the right time turns founders into fighter pilots.


Analytics Automation

Uncovering insights in data requires relentless commitment to truth and accuracy. It’s hard work that’s too often forgotten as soon as it was completed. When great efforts are taken to produce valuable feedback, we work automate it. With analytics automation, we take analysts who used to shovel rocks in excel and turn them into machinists on the front lines of the data warehouse.


Data Infrastructure

Data infrastructure is the backbone of our systems. We leverage the open source community, software best practices, and scalable compute resources to integrate everything from data ingestion to algorithm training and visualization. We take responsibility for the entire data stack to drive down cloud costs, improve cycle speed, and eliminate waste. We compete on finished products not cloud credits, billable hours, or user licenses.