Zero One Alpha designs and builds production AI and data platforms for regulated, complex industries. An AWS Partner.
Most AI work fails somewhere unglamorous: the systems disagree, the data can't answer the question, or nobody can prove what the model did. We work on that layer.
The pattern is the same in every sector we serve. Research the problem until we understand the operation better than the software vendors calling on it. Build the answer against definitions the business has signed off. Run it in production, where it has to survive audits, procurement and the fact that people are busy.
Every engagement starts with an architecture audit rather than a pilot. We find where the same entity is described differently in two systems, because that is where the work actually is — and it is almost never where the brief said it would be.
What counts as revenue, when a booking is confirmed, which timestamp is authoritative — agreed and written down before anything is built. Skipping this is why most data projects produce a number nobody trusts.
Open architecture, documented handoff, your cloud. We would rather you could replace us than depend on us — partly because that is the right way to build, and partly because it is the only version procurement will approve.
Where an engagement has no published metrics, this site says so. Where a product page isn't finished, it says that too. It costs us some polish and saves everyone a wasted conversation.
The parts that decide whether a deployment happens at all.