Agricultural machinery workshop

Machine of the year in 3 continents.
Drivetrain: 4 industry awards.
Engine: 17 patents.

Right part number for the fuel filter seal?
"Ask Klaus - he's back on Monday."

— VP Aftersales, Large Ag OEM

Your machines are engineering masterpieces.
Your service data is a sprawling archive of tribal knowledge.
Apical builds the foundations to connect them.

See SPARK in action

You've been here before.

The initiative starts with ambition. A new platform. A data harmonization project. A cross-functional task force. It runs for six months, eighteen months, two years. Then it hits the same thing every initiative hits: the underlying data is too inconsistent, too fragmented, too tangled to build on cleanly. The project loses momentum. The organization moves on. The problem stays.

This isn't a failure of leadership. It isn't a failure of technology. It's the accumulated weight of decades — acquisitions that were never fully integrated, ERP systems that were bolted together rather than built together, technical documentation written by people who never spoke to the parts organization, master data that means three different things in three different systems. Nobody made these choices maliciously. They were the right calls at the time. But the bill has come due.

Meanwhile, your dealers need answers faster. Your customers expect more. And every week that the foundation stays broken is a week your competitors have that you don't.

You don't need someone to tell you it's urgent. You need someone who knows how to move.

We start with the data you have.
Not the data you wish you had.

Most technology approaches to this problem begin from the same assumption: that the organization will restructure itself, that the data will be cleaned before anything is built, that silos will come down and processes will align. That assumption is why most projects fail.

We start somewhere else entirely. We start from first principles — from the actual question a real person in your business needs answered, tracing backward through the data that exists to find the most reliable path to a correct answer. We don't wait for conditions to be perfect. We work with reality.

That means combining deterministic logic with AI — knowing exactly which steps require human expertise and which can be automated, and being precise about the difference. It means building solutions that produce traceable, auditable results, so your experts can review, override, and improve them. And it means designing for the organization as it actually is, not as an org chart says it should be.

We're not here to transform your business. We're here to unblock it.

Technician with filters in the field

Know exactly what every service job needs.
Before the technician opens a ticket.

Your Aftersales organization sits on a problem most OEMs have quietly accepted as unsolvable: the maintenance manual says "replace the fuel filter." It doesn't say which filter. It doesn't say which seals to include. It doesn't account for a dozen machine configurations, three emission standards, and seven years of running production changes.

An experienced technician knows. But experience retires. And experience doesn't scale to 40,000 dealers in 80 countries.

SPARK is an AI-powered parts intelligence system that works from first principles — reading your service documentation, your parts books, your commercial catalogue — and produces a complete, confidence-scored list of every part required for every service action on every machine variant. Reviewable by your experts. Improvable with every dealer interaction.

It doesn't require you to fix your data before you start. It works with what you have.

See how SPARK works

We've been inside these organizations.
We know what the org chart doesn't show.

Apical was founded by people who spent years inside and alongside large OEMs — close enough to see what the transformation consultants and software vendors couldn't: that the data problem isn't a technology gap, and it isn't a process gap. It's a structural accumulation. Decades of decisions, each rational in isolation, that compounded into something no single initiative could untangle.

We built SPARK because we couldn't find anything that approached the problem honestly. Every solution assumed conditions that didn't exist. We decided to start from the conditions that do.

Founder credentials & pilot results — coming soon

Something isn't working.
Tell us what.

We don't need a brief or an RFP. We need enough context to understand your situation — and to tell you honestly whether we can help.