Elorati/Advisory
Strategy and embedded engagements. We sit inside leadership teams to decide where AI actually belongs, then design, ship, and govern it.
Start a project →Elorati designs, builds, and runs AI systems and custom software for operators: a one-week automation, an internal tool, or the platform the whole business runs on. The work gets the same hands and the same standard, whatever the size.
Pick the door that fits the problem. The same people are behind all three.
Strategy and embedded engagements. We sit inside leadership teams to decide where AI actually belongs, then design, ship, and govern it.
Start a project →Custom development. Applications, integrations, automations, internal tools: scoped in plain language, priced before we start, shipped working.
Start a project →We run what we build. Hosting, monitoring, iteration, and a person who answers, so the system keeps earning long after launch.
Start a project →A two-day automation gets the same care as a year-long platform.
Most shops only want the large engagement. Fourteen years of building taught us the opposite lesson: the small job is where trust starts. A report that writes itself. An inbox that triages itself. One integration that ends a decade of copy-paste. Some stay small. Some become the system the whole business runs on. Either way, the same hands do the work.
Plain scopes, honest prices, and a deliberately small surface area.
We run real businesses on the systems we build. We earned the right to build for you by doing it for ourselves first.
You'll know what we're building, what it costs, and when it lands, before we start. A two-day fix gets a two-day invoice.
Plain language. Long horizons. The compounding happens over years, not across the next four quarters.
The question is rarely whether AI is safe. It is which account the data went through, what the vendor's terms actually say, and whether your own permissions were ever correct. A plain guide for operators, with the policies quoted.
Paying for custom software does not automatically make it yours, and the code is the smallest part of what you need anyway. A plain checklist of what to own before, during, and after a build.
The build is the cheap part. A plain accounting of what it takes to keep an AI system running: model changes, prompt drift, API bills, monitoring, and the person who answers when it breaks.