Alexandria
AI that knows your business.
Most enterprise AI stalls in production because it doesn't really know your organisation. We build AI that does — accurate, a fraction of the cost, and running on models you own.
“90% of Claude’s mistakes come from missing context, not a weak model.”
Why now
- Your agents run on models someone else can switch off.
It has already happened: this June, the US government ordered Anthropic to disable its two most capable models — worldwide, overnight. Access returned first as a vetted list of roughly a hundred US organisations — no published criteria for who qualified, no timeline for anyone else — and only after three weeks were the controls withdrawn. The same week, OpenAI previewed its newest models to US-government-approved partners only. Access to frontier AI is now a foreign government’s policy decision — one you don’t vote on, can’t appeal, and that can change faster than your deployment cycle.
The fix for both is the same: better context. Structure your knowledge so a model can navigate it precisely, and it has less to untangle — answers get more accurate, and a smaller model suffices: open-weight, a fraction of the running cost, living inside your own infrastructure and jurisdiction. That is what Alexandria builds.
The way in
A working agent on your own work.
Working a customer complaint with the full account history and the policy that actually applies. Answering a regulator’s request with every relevant decision assembled and cited. Giving frontline staff exact answers from your own procedures — not a search box. Whatever your version of that is, we demonstrate it on your real tasks.
We don't sell paper evaluations. We stand Alexandria up inside your environment, teach it your domain, connect your data into the context graph, and close with the evaluation evidence and audit trail your risk and compliance functions will ask for.