A living graph of everything
your company knows.
Per-team knowledge graphs. Per-employee twins. Memory that compounds with every task — all of it inside your boundary.
52 days a year, gone.
That’s what searching for what the company already knows costs — per employee. The graph gives them back.
52 working days per employee, per year, spent searching for what the company already knows. McKinsey · Panopto
It learns from everywhere
your work already lives.
Commits, PRs, tickets, docs, threads — ingested continuously, attributed always. Nothing ever leaves your cloud.
claim#4821 · 3 sources
Every task makes it sharper.
Perform, grade, update — the longer it runs, the more tuned it gets to how your company runs.
twin:marcus.lGood grades widen autonomy and write access. Bad ones narrow them. The longer it runs, the more it earns.
Alexein knows how to
You just have to ask.
It never forgets.
Validated knowledge promotes upward — personal → team → department — and stays when people leave. Every why has an address.
One graph. Many payoffs.
A new hire’s twin arrives pre-loaded with team and domain memory.
On resignation, validated knowledge is promoted out of personal memory.
Bus-factor risk, convention drift, and bottlenecks — computed from provenance.
Teams publish validated capabilities other teams’ twins can call — an API of expertise.
Shared memory means work isn’t re-derived across the org — dedup is the largest saving.
Audit trails, policy-as-code, SOC 2 / ISO-friendly export — native, not bolted on.
Capabilities only Alexein has.
Loved by teams that can’t forget
Trusted by fast-moving engineering orgs that can’t afford to lose what they know.
Give your company a memory.
One twin per employee, in your own cloud. Start with one team.