Data Engineering · Industrial / manufacturing
Industrial Data Intelligence
Machine telemetry arriving continuously from industrial equipment, turned into a consistent time-series store that engineers can query and chart.
- Python
- ETL
- InfluxDB
- Grafana
Founder-led technology studio · AI & Data
We build AI, machine learning, data pipelines and automation that solve real business problems, engineered to run in production rather than to demo well.
What VERMYN does
Businesses don't need more technology for the sake of technology. They need systems that reduce manual work, unlock data and create measurable operational value.
Predictive models, intelligent applications and machine learning systems designed around real business requirements.
Learn moreReliable data pipelines, ETL workflows and data platforms that make information accessible and usable.
Learn moreAutomate repetitive workflows and connect systems using AI, APIs and intelligent processing.
Learn moreTurn raw business data into dashboards, analytics and insights teams can act on.
Learn moreProblems we solve
Every engagement starts from something that is not working. These are the four we are asked about most.
Problem
Data is scattered across multiple systems.
Solution
Build centralised pipelines that turn disconnected sources into one reliable, queryable version of the truth.
Problem
Teams spend hours on repetitive manual processes.
Solution
Automate the workflow with Python, APIs and AI, keeping a human review path for the cases that genuinely need judgement.
Problem
Business decisions rely on spreadsheets and assumptions.
Solution
Create analytics systems with tested metric definitions, so the discussion moves from whether the number is right to what to do about it.
Problem
AI prototypes work in demos but fail in production.
Solution
Engineer the parts a demo skips: APIs, pipelines, evaluation, monitoring and deployment.
How we work
A short, legible process. You always know which stage we are in, what is being built, and what comes next.
01
Understand the business problem, data and requirements.
We start with the problem, not the technology: what decision or process is failing, what data exists, who is affected, and what a good outcome actually looks like.
02
Design the architecture, technology and implementation approach.
We agree the architecture and the technology choices before building, including what is out of scope, so there are no surprises halfway through.
03
Develop the solution using modern engineering practices.
Version control, tests, code review and short feedback cycles. You see working software throughout, not only at the end.
04
Integrate the solution into the required environment.
Deployment into your environment with configuration, access control, documentation and a handover your team can act on.
05
Monitor, optimise and continuously improve the system.
Monitoring and alerting so problems surface early, and a clear route for changes as the business and the data move.
Technology
Tools we work with directly, chosen per project. Nothing listed here for decoration.
Case studies
Engineering write-ups of systems we have built, each labelled for exactly what it is. We do not name clients who have not agreed to be named, and we do not publish results we cannot evidence.
Data Engineering · Industrial / manufacturing
Machine telemetry arriving continuously from industrial equipment, turned into a consistent time-series store that engineers can query and chart.
AI / ML · Industrial / manufacturing
A worked baseline for condition monitoring: feature engineering over sensor history, an evaluated model, and a serving path.
Automation · Operations / back office
Structured extraction from recurring business documents, with confidence thresholds and a human review path for anything uncertain.
Why VERMYN
How we make decisions when a project gets difficult, which is the only time principles matter.
01
We focus on solutions that can actually be deployed and maintained. A system nobody can operate is not finished.
02
Technology decisions start with the problem, not the technology. If a simpler approach solves it, we will say so.
03
Plain language, transparent progress and clearly defined deliverables. You should always know what is being built and why.
04
We design for reliability, scalability and maintainability, because the demo is the easy part and the next two years are not.
AI | DATA | REAL SOLUTIONS
About VERMYN
VERMYN is an AI and data technology studio focused on building practical digital solutions for real-world business problems.
We combine software engineering, artificial intelligence and data engineering to help businesses automate processes, understand their data and build intelligent systems.
VERMYN is a founder-led technology studio. That means you talk directly to the person building your system, scope is set honestly against real capacity, and we say so when a project needs more hands than we have.
Tell us what you're trying to build, automate or improve. Let's explore what technology can do.