We don't only deliver projects.
We build products.
Alongside client work we build our own software. Two of them are in the hands of clients today — and everything we learn from them goes straight back into client projects.
Personal AI OS
Connects to your drives, chats, databases and task trackers — and becomes a single entry point to everything your company knows. Not a boxed tool: a configuration built for one company's infrastructure. Runs locally, on your server, or both.
Knowledge is scattered across systems
Documents sit on drives, tasks in the tracker, decisions in chat threads, customers in the CRM, standards in separate files. Finding an answer means remembering where the document lives, who to ask, and which version is current.
Personal AI OS becomes the single door to company knowledge
One question, one answer, with the source
An employee asks in the interface they already use. Personal AI OS reads the request, queries the company's own sources, assembles the current answer and links back to where it came from. It knows your processes, documents, standards and internal rules — not general facts about AI.
Not a box — a personal configuration
Every deployment is configured for one company's infrastructure: which drives, which chats, which CRM, which knowledge bases, which access rights. Google Drive, SharePoint, task trackers, internal wikis, messaging and CRM systems with an API are all in scope.
That is why each launch takes about a week — and why data can stay entirely inside your perimeter if that is what compliance requires.
AI Video Analysis
Upload the video, say what to look for. The system returns exact timelines: logos, on-screen text, spoken words, objects — and explains the context each mention appeared in. Built for large archives: broadcasts, webinars, lectures, advertising.
Not “found it” — “found it and understood it”
Search alone doesn't help. The system tells you whether a fragment can stay as it is, or needs editing, review or removal.
It doesn't just flag “the word appears” It tells you what to do about it
A drug named in archived video
Old corporate videos mention a product that later fell under regulatory restrictions. The system finds every mention and separates the fragments by meaning.
Correct context: the speaker discusses the restrictions and the alternatives. The fragment can stay.
Incorrect context: the speaker says it can be taken for any kind of pain. The fragment breaks the rules — edit or remove.
What it finds and how it shows it
Pharma, brands, EdTech, enterprise
Pharma and media: checking video against regulatory requirements — finding risky product mentions and phrasing.
Brands: monitoring mentions of your brand and competitors' — in broadcast, user content and advertising.
Education platforms: automatic tagging and review of course material; finding topics and fragments inside large video libraries.
Enterprise: auditing a video archive before publication — which words, brands and claims appear, and in what context.