For factories and mills that run without connected systems. We capture the work as it happens, show it live to management, and flag what leaves its approved range.
Work captured once, where it happens. No re-typing, no reconstruction at the end of the shift or the month.
Management sees the floor as it runs, in the form it asked for, on the same figures as the floor. Ask a question in plain language and get the answer with its source.
Decisions taken on the full set of inputs, with the reasoning kept, and your people making the call.
Most software makes you fit your problem to the product. We do the reverse. We arrive with questions about how the work is done, where it slows, and what the people doing it would change if they could, and we build to that.
We do not bill for an idea and leave you to work out what to do with it. We learn how you work, see the workflows, find the gaps, then design and build the system that closes them.
We stay close to the team from the first capture to acceptance: iterations on live data, with the people doing the work, until the figures hold and the team runs it without us. Then we keep it running.
AI changes what a good process looks like. Where a process can be rebuilt, we design it from first principles, as it would be designed with AI available from the start. Where it cannot, because of equipment, regulation, habit or people, we start from the workflow you have and enhance it without breaking what already works. Either way we start small: one process, proven in weeks, then grown with you.
We spend time on the floor with the people doing the work. We map each step, where work changes hands, where it waits, and where figures get lost or arrive late.
Together we pick the few figures and alerts that matter, how often you need them, and in what form: a daily report, a live board, or a question you can ask.
We choose the first process with you, decide whether to rebuild it or strengthen what is already there, and fix who owns each step. Then we build it in your team's language and have it running within weeks.
We compare the results with how things ran before. Once the team uses it every day and the figures hold, we move to the next process.
A plant's daily report, without re-typing. Sheets are photographed at the station and read by OCR.
* Where certification or regulation requires a paper record.
A weighbridge ticket at an intake centre. The clerk works as before; the checks arrive within the minute.
Twenty years running operations in West Africa, thirteen building software production systems.
Dean Shemie is a software engineer with 13 years of experience building production systems, the last three focused on putting AI into production. He has built AI systems for a venture-backed startup serving banks. At ApereOp he leads technology and delivery: capture, data, live reporting and the AI layer.
Twenty years at Rina Group in West Africa, from business development to board of directors, across real estate, agro-industry and mining. Knows how a low-tech operation runs day to day, and what management and the board need to see. At ApereOp he leads operations and strategy.
Describe the part of the operation you cannot see clearly, or the decision you want better inputs for. We can come on site, map the work, and return with a scoped design for the first system.
Lisbon · Abidjan