Engineering workflow automation
Hands-on work connecting spatial data, design applications and repeatable engineering tasks, including MCP-based design workflows.
GIS / BIM / MCP WORKFLOWSEXPERTISE / ENGINEERING AUTOMATION
Experience in engineering workflows, machine learning deployment and connected data systems—applied to practical design, automation and operational challenges.
APPLIED ENGINEERING
Practical experience informs how we approach automation: understand the context, connect the information and keep the result observable.
Hands-on work connecting spatial data, design applications and repeatable engineering tasks, including MCP-based design workflows.
GIS / BIM / MCP WORKFLOWSExperience with quantized vision models, multimodal field-survey inputs, deployment pipelines and monitoring model behaviour over time.
EDGE INFERENCE / MLOPS / SENSOR FUSIONDistributed backends, event-driven data flows and observability that help complex systems exchange information and make failures easier to investigate.
DATA PLATFORMS / TELEMETRY / DIAGNOSTICSRESEARCH & EXPERIMENTAL WORK
Research themes and experimental scenarios that inform our technical direction.
Research into compact representations and multimodal learning under deployment constraints, including embedding models and heterogeneous inputs.
Graph-based and temporal modelling of connected systems, with an interest in how spatial relationships, sensor inputs and changing behaviour interact.
Experimental federated-learning monitoring for potential 6G / Open RAN scenarios, including observability, client dropouts and resilient learning across the edge.
YOUR PROJECT, OUR STARTING POINT
Talk to us about a design workflow, an edge deployment, a data integration challenge or an experimental system. We’ll start with the problem, the available information and the outcome you need.
COMING SOON / EARLY CONVERSATIONS
Tell us what you want to design, automate, understand or improve. We’ll start with the challenge and the result you need.