About us - Depth over scale. Seniority over volume.
Cybryne is a specialist data and AI consultancy. We work with a deliberately limited number of clients so the people who scope your engagement are the same people who deliver it.
We built Cybryne because mid-market businesses deserve the same quality of data engineering and AI capability that the largest companies in the world have access to. Not a version of it delivered by junior consultants following a playbook. The real thing, built properly, by people who have done it before. We are not trying to be the biggest data consultancy. We are trying to be the best one to work with for the businesses we choose to work with.
How we operate
The principles behind every engagement.
Senior led, always
The person you speak to in the sales process is the person who builds your system. We do not staff engagements with graduates supervised from a distance.
Outcomes over outputs
We measure success by what changed in your business, not by what we delivered. Deliverables that do not change decisions are not worth having.
Honest before agreeable
If your data problem cannot be solved the way you think it can, we will tell you before we start. Not six months in.
End to end, not hand off
From the first architecture decision to the day your teams are using the system confidently, we stay engaged. We do not design and disappear.
Leadership
Greetin Thilak
Founder
The problems we are built for
We have heard these before. We know how to fix them.
Logistics
“We have data in our TMS, our ERP, and three carrier portals. None of it talks to each other. Every Monday someone manually pulls it into a spreadsheet to build the operations report.”
We build the pipeline that connects your systems, automates the reporting, and gives your operations team live visibility — without the Monday morning spreadsheet.
Manufacturing
“We installed IoT sensors on every line. The data goes into a system nobody knows how to query. Our OEE is still tracked in Excel by the plant manager. The sensors are generating data we are not using.”
We turn that sensor data into production intelligence your plant managers actually use — OEE tracking, downtime root cause, and quality alerts, built on the infrastructure you already have.
Retail and D2C
“Meta says it drove 40% of our revenue. Google says 35%. Our email platform says 25%. When we add it up, it is more than we actually made. We have no idea what is actually working.”
We build a unified attribution model that finance and marketing both trust — one number per channel, based on what customers actually did, not what each platform claims.
Applied AI
“Our data science team built a churn model that is 89% accurate. It has been sitting in a Jupyter notebook for seven months because nobody knows how to get it into production.”
We take models from notebooks to production — deployed, monitored, and maintained so they actually move the metrics they were built to move.
Our commitment is simple: deliver data solutions that make your decisions faster, smarter, and more confident.
Most data engagements start with a conversation about a specific problem.
Tell us what yours is. We will tell you honestly whether we are the right team to solve it.
We respond within 24 hours.