S-06 · Custom AI Solutions
Solve the problem no standard tool fits
When your problem is specific to your business, we build a tool for it, from image and video analysis to specialised apps and integrations. We confirm what is possible first, then prove it on real cases.
Problems it solves
Does this sound familiar?
“Our problem is specific to our business, and no off-the-shelf tool fits.”
“We check products, images or paperwork by eye, and mistakes slip through.”
“We need software that understands our own specialised data, not a general chatbot.”
Typical use cases
Where it helps
Detection and counting
Spots and counts objects in images or video, such as products on a line or stock on a shelf.
Quality inspection
Checks products against your standard and flags possible defects for a person to inspect.
Text reading
Reads text from photos of labels, packaging and forms, and feeds it into your own tools.
Specialised apps and integrations
A tool built around your process, such as candidate matching, connected to the systems you already use.
How we deliver it
Four steps, one at a time
- STEP 01
Feasibility discovery
A short discovery confirms what is possible with your data, cameras or documents before any build.
- STEP 02
Collect real examples
We gather images, video or records from your business to build and measure against.
- STEP 03
Build a first version
We build and test a first version on real cases, with your team checking the results.
- STEP 04
Extend what works
Once it has proved useful, we connect it to more of your systems and extend it.
Example
Gaps on a shelf, spotted and actioned
How a camera image could be checked for empty spaces and a restocking task created for a member of staff.
Practical details
What it takes
What we need from you
- A clear description of the problem and what a good result looks like
- Real examples to work with: images, video, documents or records
- Access to the cameras, systems or data the tool will use
- Time from the people who will use it, to test the first version
- Any rules on where data must be kept
Timing
Scope and timing are agreed after a free consultation.
Good to know
- Not every idea is feasible; discovery may show that a simpler approach, or no AI at all, is the better choice.
- Image analysis depends on camera position, lighting and image quality, so site conditions may need adjusting.
- A first version is a working test on real cases, not a finished product; it grows once it has proved useful.
Technical details (for technical readers)
- Computer vision: object detection, counting and quality inspection on images and video.
- OCR (optical character recognition) for documents, labels and forms.
- Edge deployment: the model runs on a device on site, for speed or when footage must not leave the premises.
- Integrations through custom APIs (the connection points systems use to exchange data).
Discuss your project
Tell us what you want to improve. In a free 30-minute call, we will tell you honestly whether this service fits, and what a first step could look like.