Guide
Why most computer vision pilots never reach production
Lighting, camera placement and label quality decide more outcomes than model architecture. A field checklist you can run before spending on GPUs.
Resources
Notes from the build floor
What we have learned shipping AI and software into real operations — written down, free to read.
Home › Resources
Articles & guides
Practical writing, no vendor fluff
Everything here comes out of a real project. If it did not survive production, it is not on this page.
Technical note
Edge or cloud: choosing where your model should run
Latency budgets, bandwidth cost and data-residency rules compared side by side, with a simple decision table.
Playbook
Scoping an AI project so the budget survives
How to size a pilot, what to measure, and when to stop — written for non-technical sponsors who have to defend the spend.
Guide
Getting usable data out of a fifteen-year-old ERP
Integration patterns that work when there is no modern API, and the ones that quietly create technical debt.
Technical note
Monitoring model drift without a data science team
Three lightweight checks that catch most degradation, and how to wire them into ordinary alerting.
Playbook
Privacy-safe video analytics in practice
What you can measure without storing identities, and how to document it for a compliance review.
Downloads
Brochures & whitepapers
Overviews you can forward internally, plus the technical datasheets for the people who will ask the hard questions. No form wall — click and the PDF downloads.
Common questions
Before you get in touch
Can we run a small pilot before committing?
Yes — that is how most engagements start. A time-boxed pilot on your real data, at a fixed fee, with a clear go / no-go decision at the end.
Do you need us to buy new cameras or hardware?
Usually not. Most existing IP camera setups are good enough. If placement or lighting is the limiting factor we will say so during discovery rather than after.
How do you handle our data during a project?
Under an NDA, on infrastructure you approve, with least-privilege access and deletion at the end of the engagement unless you ask otherwise.
Can our own team maintain the system afterwards?
That is the intent. We hand over documented code, a runbook and a training session. Many clients take over completely; others keep us on a support plan.
Want something written up that is not here?
Tell us the topic. If we have hit that problem in a project, we will write it up and send it across.