Industries → AI and financial services

AI systems for your financial services operations.

Systems we run for financial services teams

02
Monitoring Conviction

Investment thesis monitoring

An investment thesis is written at entry and rarely checked against what happens next. We turn each thesis into explicit assumptions, monitor filings, transcripts, revisions, and news against them, and flag the evidence when the case starts to drift. PMs get an early warning and a sourced bear case before the next investment committee.

Capture thesis Monitor drift Alert & review
03
M&A Documents

Deal document production

Producing teasers, IMs, CIMs, and recurring deal updates means pulling numbers from models, CRM records, data rooms, and prior materials, then checking every page before it goes out. We assemble first drafts in the firm's format, keep figures and footnotes consistent, and route the material for banker review. Deal teams spend less time on document production and more time on positioning and client work.

Gather deal data Build materials Review & refine
Book a systems review

Your systems can run on a dedicated Algebra platform or inside the tools your team already uses.

LP report pack system
DDQ response engine
Deal intelligence brief in Slack

Show us one process.
We'll show you how it runs as an AI system.

Book a workflow review