Today, we’re announcing a $14 million Series A led by Standard Capital, with participation from Databricks Ventures and existing investors Y Combinator, Lux Capital and Abstract Ventures. The round brings our total funding to $19 million.
We help companies build custom software, optimized for how their business works.
Every business operates differently, but most run on generic, cookie-cutter software packed with features they don’t need and missing the ones they do. Companies end up buying multiple tools to cover their needs, then filling the remaining gaps with spreadsheets and manual work. Building mission-critical custom software traditionally required engineering resources that few companies outside the technology industry could access.
Reflex flips the equation. Our software factory takes a business problem from the first conversation to a working application. We start with the people doing the work, learn how their processes run, and find where existing software falls short. AI helps build the application. Our forward-deployed engineers connect it to the company's data, check the business logic, and get it into production. Companies get software built around their operations without having to hire a development team.
Customers own the final applications and can use Reflex’s AI platform to modify them or build new ones. The applications can be deployed in the cloud or on-premises, including in air-gapped environments. We serve organizations in highly regulated sectors like finance, healthcare and government.
Reflex began as an open-source Python framework. We built it so developers could make full-stack web applications without leaving Python. As it spread, companies started using it for the internal tools their existing software did not provide. We then built an AI platform to make those applications faster to build.
That revealed the next problem. A working application was only part of what a business needed. Someone still had to understand the work, connect old systems, check the numbers, and put the software into people's hands. The factory grew from that gap. It brings the work around the code into the same process as the code itself.
Our aim is to make that process repeatable. Each project should teach us how to build the next one better. Over time, we want AI to take on more of the work, while our engineers remain responsible for what reaches the customer. Eventually, having software built for a problem should be as ordinary as buying it. When the business changes, its software should change with it.
