We started as a product engineering team building SaaS and custom platforms. When language models became useful, we did not pivot, we noticed that the hard parts of an AI product were the parts we had been doing all along: data, permissions, deployment, and someone on call.
That is still the shape of the company. AI and agents are where most of the demand is now, and they sit on top of the same discipline: cloud that behaves, data you can trust, and interfaces people actually use.