zima

Distilling knowledge into intelligence

A self-adapting intelligence layer for institutions that distills signal from data.
A context engine empowering agents to run autonomously.

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Knowledge in.
Intelligence out.

Three examples — sourcing, reporting, diligence — show how the OS ships. The pattern extends to any job your team runs.

Example · Sourcing

The right introductions, ranked.

Agents continuously scan your themes and networks for matches, then deliver ranked opportunity lists tied to what you're actively looking for.

→ chat on-demand
Example · Reporting

Your coverage, without gaps.

Recurring briefs and portfolio health reports built from your private data and shared research bases — on the cadence your team actually operates on.

→ inbox weekly / quarterly
Example · Diligence

From first call to memo.

On-demand research synthesis, risk scans, and entity deep-dives — with a full audit trail. Every source cited, every lookup logged.

→ doc on-demand

Built by a team from

Blackstone
Sequoia Capital
General Catalyst
Harvard
Nutanix
Cisco
IIT Kharagpur

Start distilling knowledge
into intelligence.

Get in Touch