The paperwork that never ends
Warranty claims, parts matching, invoice reconciliation, order entry. The repetitive desk work that eats hours every week — handed to software that doesn't get tired or distracted.
Applied AI · Agriculture & Operations
AI that earns its keepon a working operation.
We build AI tools for the people who run agriculture on the ground — dealerships, co-ops, retailers, growers. Software you keep using after the busy season, running against your real systems and earning back the hours it costs.
Keshav Rajbux · Founder, Agrei
What we do
Where we tend to start.
Wherever the day gets stuck.
Decisions hiding in your data
What to restock, when to reroute, which account is about to churn. The signals are already in your systems; we surface them where your people already work, instead of in a dashboard nobody opens twice.
Eyes on the equipment and the field
Vision and sensor models for inspecting machinery, scouting crops, and flagging conditions early — trained on the messy reality of real ag data, not a tidy benchmark.
How we work
Same way,
every time.
What's broken from the outside is rarely what's broken up close. We run the same three moves on every project because that's how the real problem shows itself.
The whole approachRide along
We learn your operation before we build anything.
We show up and watch the actual day — the bottleneck at the counter, the export someone redoes every Monday, the same question answered on the phone again and again. You can't automate a workflow you've never seen.
Ship small, ship real
The first version runs on your real data.
No throwaway prototype to admire and then rebuild. We put a working tool in front of your team early, against your own systems, and fix what's wrong by watching it get used.
Hand over the keys
It's yours when we leave — fully.
Your people understand how it works and why. We document it for whoever maintains it, train the ones who'll use it, and make sure the tool outlasts our involvement instead of depending on it.
Why us
Production engineering.
Ag-operations focus.
Deep applied-AI experience, learning the ag world hands-on. We lead with engineering credibility and honesty about where we are — not a brochure claim about domain expertise.
You work with the engineer
Keshav Rajbux
Founder
Built to run unattended
Our background is production ML at Amazon scale — systems judged by whether they stay up, not whether they demo well.
Fits the stack you have
We work with your existing ERP, telematics, and spreadsheets. No rip-and-replace, no platform you're forced to adopt.
Yours to keep, not to rent
You own the tool and understand how it runs. We document it, train your team, and leave you able to run it without us — not dependent on a consultant's phone number.
Work
The proof goes here
— soon.
Case study — first project underway
We'd rather show you a number than a slogan.
This space stays empty until the first build is in real use. When it ships, what goes here is the plain math — hours given back, mistakes caught, money that stopped leaking out.
Questions
The questions we get
before the first call.
What does Agrei build for agricultural operations?
Practical AI tools for ag dealerships, co-ops, retailers, and growers — automating warranty claims, parts matching, invoice reconciliation, and order entry; surfacing restock and churn signals from your existing data; and running computer-vision models for equipment inspection and crop scouting. Production software, not demos.
Do I need clean data or a modern tech stack to use AI?
No. We work with the systems you already have — your existing ERP, telematics, spreadsheets, and the messy real-world exports that come with them. There's no rip-and-replace and no platform you're forced to adopt.
How is this different from a big AI consulting firm?
You work directly with the engineer building the tool. We start by spending a day in your operation, ship a working tool on your real data early, and hand over something your team owns and can run without us — instead of leaving you dependent on a consultant.
How much does an AI project cost and how long does it take?
Most engagements start with a short ride-along (a week or two) to find the one or two things worth fixing first, then move in short build cycles of a couple of weeks each. Scope and price depend on what we find — the intro call is free and comes with no proposal attached.
Are you an agriculture expert?
We're engineers, not agronomists. Our background is production machine learning at Amazon scale, and we learn each operation by spending time in it before we build. So we lean on your people for how the work actually runs, and bring proven engineering to making it faster. We'll tell you plainly where we're sure and where we're still learning.
What areas do you serve?
We work with agricultural operations across North America, remotely and on-site, with an emphasis on dealerships, co-ops, ag retailers, and the growers they serve.
Tell us where your operation hurts.
A 30-minute call, no slides. Walk us through what's slow, what's manual, what keeps breaking — and we'll tell you honestly whether AI is the right fix.