Services

Automation and AI/ML services for teams building complex products.

Robotic validation systems, embedded systems development and testing, agentic enterprise workflows, and custom machine learning solutions.

// Delivery flow

How it works

Discovery

We examine the product, technical environment, constraints, and outcome you need.

Solution design

We define a focused solution around your architecture, data, interfaces, and validation needs.

Implementation

We build, integrate, and test the solution in a representative environment.

Handover and support

We provide documentation, knowledge transfer, and ongoing support where useful.

Our work is intentionally practical: reliable engineering, clear evidence, usable tools, and systems that teams can understand, operate, and maintain.

Embedded development

Firmware, device interfaces, communication protocols, diagnostic tooling, and integration support for embedded and connected products.

Robotic validation systems

Custom robotic test rigs and automated systems for repeatable physical interaction, measurement, inspection, and product validation.

Test automation, HIL and VIL

Maintainable automation frameworks for smoke, regression, hardware-in-the-loop, vision-in-the-loop, system integration, and end-to-end testing.

Workflow analysis and architecture

We identify where agentic automation can create practical value, define system responsibilities, and design workflows around your processes, data, security requirements, and approval points.

Enterprise system integration

We connect agents with existing APIs, databases, documents, internal tools, engineering platforms, and communication systems so they can retrieve information and perform authorised actions within established workflows.

Agentic workflow development

We build single-agent and multi-agent workflows for tasks such as document analysis, requirements refinement, technical review, content generation, information routing, reporting, and engineering support.

Enterprise knowledge and RAG

We create controlled knowledge pipelines that allow agents to work with approved documents, project data, standards, codebases, and internal sources while preserving source references and access boundaries.

Governance and human oversight

We implement permissions, review stages, audit trails, validation rules, structured outputs, and human approval where decisions or actions require additional control.

Deployment and operational support

Solutions can be adapted for cloud, private-cloud, or on-premises environments. We support evaluation, integration, monitoring, documentation, and knowledge transfer throughout deployment.

Computer vision

Custom solutions for object detection, tracking, classification, segmentation, visual inspection, measurement, and scene understanding.

Model development

Data preparation, model selection, training, fine-tuning, evaluation, and optimisation around the specific requirements and constraints of your use case.

Deployment and integration

Integration of trained models into applications, embedded devices, edge systems, APIs, data pipelines, and existing engineering workflows.

Evaluation and monitoring

Clear performance metrics, representative test datasets, failure analysis, model versioning, monitoring, and evidence for informed deployment decisions.

Focused engagement

Start with one clear engineering outcome.

We define a practical first deliverable, prove it in the target environment, and expand only when it creates measurable value.

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