Applied AI
Assistants, retrieval, classification and automation wired into real workflows — scoped to what moves a metric, not what demos well.
FollowCan Technologies is a product engineering company working at the intersection of artificial intelligence and emerging business models. We ship our own platforms, and we build them for others — with the judgement that only comes from twenty years of doing it.
Most of what we do falls into four buckets. All of it is built to be handed over, maintained and understood by the next engineer who touches it.
Assistants, retrieval, classification and automation wired into real workflows — scoped to what moves a metric, not what demos well.
Multi-site, multi-tenant, multi-language systems. HashtagCMS is ours, open source, and running in production.
WhatsApp campaigns and screens on the wall — reaching people on the phone they read and in the room they are standing in.
From a blank repository to something you can hand to customers — architecture, build, ship, then keep it running.
Open-source, multi-site content management built on Laravel.
A CMS for teams who outgrew the usual options — multi-site, multi-theme, multi-language, with a module system that bends to the business instead of the other way round.
Learn moreDigital signage that runs on any screen with a browser.
Open a URL, enter a pairing code, and the screen is live — no set-top box to buy. Run one screen or a hundred from a single dashboard, with scheduled playlists, multi-zone layouts and updates that land in under 30 seconds.
Learn moreFollow what matters. Skip what does not.
Our work in progress — an AI-assisted way to follow the people, products and topics you care about, and get told when something actually changes.
Learn moreWhatsApp marketing for your business.
Reach customers on the channel they already read. Campaigns, contact lists, templates and replies — organised for small teams who cannot afford a marketing department.
Learn moreOur engineers have shipped through several generations of the web. That experience shows up less as speed and more as restraint — the right abstraction, the boring dependency, the migration that runs cleanly at 2am.
More about usBefore architecture, we work out what the thing has to earn, and for whom. Plenty of ideas do not survive this step — that is the point.
One real path, end to end, in front of real users — early. Feedback beats planning, and a deployed slice tells the truth.
We use AI where it removes real work — and say so plainly when a simpler system would do the job better and cheaper.
Documented, tested, and readable. You should never need us to understand your own codebase.
Tell us what you are trying to do. If we are the right team for it, we will say so — and if we are not, we will tell you that too.