AI & Automation
Computer Vision
Detection, classification and extraction from photographs, video and scanned documents. Most of the work is the data pipeline and the failure cases, not the model.
In short
Images and video turned into records.
What we deliver
- Capture and labelling process design
- Model selection with an accuracy target tied to business cost
- Human review for low-confidence results
- Edge or server deployment depending on latency needs
A good fit when
- Photographs are captured and then read by a person
- Physical inspection results are recorded by hand
- Document scanning feeds manual data entry
Technologies and methods
Chosen for each project, to fit your systems and your team.
- Python
- PyTorch
- ONNX
How we deliver
From first conversation to production.
Four stages on every engagement, scaled to the size of the project.
- 1
Understand
Clarify the users, goals, constraints, and current systems.
- 2
Plan
Map the main components, data, and integrations before implementation.
- 3
Build
Develop and review the work in small, testable increments.
- 4
Prepare
Plan deployment, operations, documentation, and ownership.
More in AI & Automation
- AI EngineeringProduction AI systems, end to end.
- Agentic AI SystemsMulti-agent systems with approval gates.
- Generative AI & LLMsLanguage models wired into your systems.
- RAG & Enterprise SearchAnswers from your documents, with citations.
- AI Workflow AutomationManual work automated, every step audited.
- Intelligent Process AutomationRepetitive steps removed from daily work.
- Machine Learning & MLOpsModels trained, deployed and monitored.
- Document IntelligenceStructured data out of unstructured files.
- Conversational & Voice AIAssistants that cite sources and refuse.
- AI Strategy & GovernanceWhat to automate, and what to keep human.
- AI EnablementYour team productive with AI tooling.
Prefer to talk it through?
A private consultation, 30 minutes with the founder, in your time zone.
Interested in Computer Vision?
Tell us what you are working on. We start by understanding the problem, the people, and the systems involved.