We engineer intelligent systems for industrial problems without off-the-shelf solutions.
Sophometrics combines robotics, machine vision, AI and industrial software to design, build and deploy complex systems in real operations — for food producers and manufacturers.
Engineering systems developed with
Ekonoke
Autonomous crop monitoring · Spain
KBG
Industrial operations platform
Kromberg
Manufacturing systems
Agroland
AI & sustainability modelling
Built for problems that don't fit a catalogue
Some industrial problems can't be solved by buying another license or a standard machine. They sound like this:
“We can't see the process.”
Critical operations — crops, production lines, inspections — depend on someone walking around and looking. We build the sensing, imaging and data-capture systems that make the operation observable.
“The data exists, but decisions still run on gut feel.”
Information is scattered across machines, spreadsheets and people's heads. We combine it with scientific models and AI into systems that support real decisions.
“The machine we need doesn't exist.”
No supplier sells it and no product can be configured into it. We design and build it — mechanics, sensors, control and software, integrated into your environment.
If one of these sounds like your operation, we should talk.
Capabilities
Sense the operation. Understand the system. Act with precision.
We work across the complete system — from the physical mechanism and data capture to intelligence, interfaces and deployment.
Sense
Capture reliable information from physical operations.
- Industrial sensors & instrumentation
- Computer vision & multispectral imaging
- Mobile robotic platforms
- Edge computing & data acquisition
Understand
Turn operational data into models, predictions and decisions.
- AI & predictive models
- Scientific & mathematical modelling
- Digital twins
- Industrial data platforms
Act
Connect intelligence to the real operation.
- Robotics & automation
- Control & decision-support systems
- Operational software — production, quality, planning
- Human–machine interfaces
Selected work
What we've built
Toward autonomous crop monitoring
The situation
Indoor hop cultivation depends on consistent observation of thousands of plants across every growth cycle.
What they hired us to build
A mobile robotic platform with multispectral imaging, automated data capture, and an intelligence platform agronomists use daily.
In development
Predictive models toward a facility that monitors and optimises its own operation.
Prototype operating in production facilities since 2025.
KBG
Mobius — the operational layer for industrial plants
Built with KBG: a modular platform connecting production, quality, inventory and planning in one system — the software foundation on which sensing, prediction and automation are mounted.
In daily use across industrial operations.
Kromberg
Manufacturing operations, digitised
Fragmented systems gave no reliable picture of production. We built the integrated planning and reporting layer their teams now run on.
In production use by planning teams.
How to start
Every project starts the same way
Feasibility Study
3 weeks · Fixed priceYou bring the problem. We deliver:
- A technical risk assessment
- A system architecture
- A prototype plan
- A budget for the full build
Then you decide whether to continue — with us or without us.
How a project runs
Prototype early. Engineer for deployment.
01
Feasibility
Three weeks, fixed price. The problem, the risks, the architecture and the budget — before any major commitment.
02
Prototype
The smallest system that proves the highest-risk assumption, tested in real conditions.
03
Build & deploy
The complete system — hardware, software, data and models — integrated into your operation in staged milestones.
04
Operate & evolve
Monitoring, support and successive engineering cycles as the system takes on more of the operation.
Company
Engineers first
Sophometrics was founded in Amsterdam at the intersection of mechanical engineering, science and software — by a mechanical engineer and computer-science researcher.
We take on problems where no single discipline is enough. Our long-term direction is a private applied-engineering lab: a place where intelligent machines and industrial systems are developed at increasing levels of complexity.
Bring us the difficult problem
Tell us four things. We reply within two working days with an honest read: whether it's a feasibility case, and what it would take.