Hardware, lab automation, and data processing — built to your spec

Lomond Robotics supplies, integrates, and builds custom systems for chemistry and biochemistry labs, engineering teams, and anyone who needs a complete working setup rather than a catalogue part.

One contact from problem to working system

I work with labs and engineering teams on hardware implementation, chemistry and biochemistry tool automation, data processing pipelines, and on-demand instrument supply — including full turnkey setups where you specify what you need and I deliver it ready to use.

Hardware Implementation

Design and build of custom hardware: sensors, actuators, controllers, embedded systems, and instrument interfaces built around your specific equipment and environment.

Chemistry & Biochemistry Automation

Automation of lab workflows including liquid handling, sample processing, instrument control, and repetitive assay steps — reducing manual effort and improving reproducibility.

Data Processing & Analysis

Custom pipelines for capturing, cleaning, storing, and visualising measurement data from instruments, sensors, or lab equipment.

On-Demand Instrument Setup

Full turnkey supply: sourcing, configuring, integrating, and handing over a complete working instrument or system — so you get one point of contact from spec to sign-off.

AI Tool Implementation

Practical AI integration into lab and engineering processes — data interpretation, workflow assistance, and decision support without sacrificing reliability or auditability.

Engineering Prototypes

One-off devices, proof-of-concept builds, measurement fixtures, and custom hardware for requirements that do not fit any off-the-shelf product.

HOW WE WORK

A practical route from idea to implementation

Clear scoping first, then prototypes, tests, and integration.

1.

Scope

Define the problem, constraints, environment, and what success should look like before committing to a build.

2.

Design and Prototype

Sketch the solution, choose hardware and software, and build enough to prove the important parts.

3.

Test

Check measurement quality, reliability, safety, usability, and integration risks before wider use.

4.

Implement

Install, document, train, and refine the solution so it can be used by the people who need it.