Intelligent systems. Sustainable impact.
We help businesses put AI to work.
From cameras on a production line to answers from your own documents, we design, build and run computer vision, LLM and machine learning systems. And we stay with you long after launch.
Fixed-price discovery · You own the code · GDPR and EU AI Act aware
Selected clients: Kiss and Makeup · Mussel App by FutureLab
What we do
From an idea to everyday use.
Find a useful starting point, build the system, and keep it working as your needs change.
AI strategy & discovery
Assess your idea, review the data and plan a useful first project.
Computer vision
Detect, track and measure objects in images and video.
Language AI & document workflows
Search your knowledge, process documents and automate routine tasks.
Model deployment & MLOps
Run, monitor and update your models with confidence.
Edge AI & connected devices
Process data on site and connect the results to your equipment.
AI product development
Bring the model, interface and integrations together in one product.
Selected work
Different businesses. Practical solutions.
A closer look at the problems, the engineering and the results.
US car wash equipment maker
Detecting vehicle rollback in car washes
A camera system for a US car wash equipment maker that detects vehicle rollback, signals the conveyor to stop and records the event for review.
Kiss and Makeup
Following products from shelf to checkout
A multi-camera proof of concept for Kiss and Makeup, connecting shelf pickups, checkout and alerts at the exit.
Mussel App by FutureLab
Measuring mussels from a phone photo
An image-processing API for Mussel App by FutureLab. A calibrated photo becomes measurements the team can review in millimetres.
Work directly with your engineer.
You’ll work with the people designing and building your system, from the first conversation through to delivery.
Start with your problem
We look at the workflow, your data and the result you need before choosing a model or writing code.
See progress as we build
Regular demos give you something to try and a chance to shape the next step.
Keep running costs in view
We choose models and hardware around the accuracy, speed and budget your project needs.
Take ownership of the result
You receive the source code, documentation and a clear plan for running and maintaining the system.
The person behind Zeynoc
Meet Tharindu.
Tharindu Ekanayake founded Zeynoc after years of building computer vision and machine learning systems for clients. He leads the engineering and stays involved in the code.
How we work
A clear next step, at every stage.
We test the important assumptions early, agree the scope, and build in stages you can review.
30 minutes, free
Talk
A call about your problem, your data and your constraints. You get an honest view on whether AI is the right tool.
1 to 3 weeks
Discover
We look at samples of your data, agree on how success is measured, and write a fixed scope with a price.
2 to 6 weeks
Prove
A working proof of concept on your data. You see real accuracy numbers before committing to a full build.
Sprints of 2 weeks
Build and ship
Production code, tests, deployment and documentation. A demo at the end of every sprint.
Ongoing
Run and improve
Monitoring, retraining and support, so the system keeps working as your data changes.
What clients say
In our clients’ words.
From clients we have delivered projects for.
The quality of delivery was top-notch. Attention to detail, professional through and through. Polite, responsive, and always on schedule.
Client, data science and machine learning project
Computer vision projects can easily have many errors. You need someone to stick to the requirements when things go wrong. The project was completed as required.
Client, computer vision project
Solid knowledge in computer vision and skilled with Raspberry Pi devices. Completed the project beyond expectations.
Client, edge AI project
Before we get started.
Something else on your mind? Ask us directly.
Do we own the code and the models?
Yes. Once the invoice is paid, the source code, trained models and documentation are yours. We only keep what you allow us to keep.
Where does our data go?
Wherever you decide. We can work entirely inside your cloud account, on your own servers, or on EU hosted infrastructure. We sign a data processing agreement before we touch personal data.
Do you only use OpenAI?
No. We pick the model that fits the job: hosted models from OpenAI, Anthropic or Google, or open models we run for you. If privacy or cost matters more, open models often win.
How much does a project cost?
Discovery sprints usually start in the low thousands of euros. Full builds depend on scope. After the first call you get a written estimate, not a vague range.
What would you like to build?
Tell us where your project stands. If AI is not worth it for you, we will say so.