An auditable AI research platform, built for equity analysts.

What we believe

Most AI companies are racing to make their models more autonomous: fewer checks, more trust, let the agent decide. We think that's backwards for anyone whose job is to defend a number in an investment committee meeting. So we built the slower, harder version instead: a system that has to prove where every fact came from before we trust it.

That belief shows up in three places. In the model: every output is retrieved and cited, never generated from memory, because a fund can't act on a number nobody can trace. In the infrastructure: cloud today, with private-cloud or on-premises builds available on request. In the scope: one workflow, equity research, done properly, instead of "AI for finance" broadly, because a platform that tries to be useful to everyone is rarely defensible for anyone.

None of this is the fast way to build a company. It's the way that survives an IC meeting.

Read why we built Avanis.