For Financial Institutions Group

See what changed. Know what matters.

Starch turns company and capital changes into coverage actions, reviewable model exceptions, diligence gaps and current deal workstreams.

Built by bankers, for bankersGoldman Sachs

What stops being manual

The problems this desk knows by heart.
Watch each one go.

The reason to call is public before anyone connects it.

Changes meet prior mandates as they land, outreach drafted.

The filing drops, and the model waits for a weekend.

Your model refreshes from approved sources, judgment items surfaced.

FIG diligence gets flattened into a generic checklist.

The room is scored on your own FIG checklist, in context.

Coverage and execution live in different tools.

Signals, exceptions, gaps and workstreams share one current view.

One joined workflow

The work advances in the same view.

01

Signal

Filings and management changes

02

Context

Prior mandates, owner matched

03

Draft

Written in the house voice

04

Approval

A named banker signs

05

CRM write-back

Logged against the account

It starts on its ownIt ends on the record

Before you book

Asked about FIG.

What does onboarding involve?
A banker and an engineer, as a pair. FIG coverage and diligence differ bank to bank, so scoping runs on your names and your models, not a template, and the first workflow is usually the coverage list or the FIG diligence checklist.
Where does our data sit?
In a single tenant of your own, in your cloud or ours. Never pooled with another firm, never used to train a model.
Does this differ from desk to desk?
Yes. The signals your desk approves, the model exceptions it reviews and the CRM it writes back to are all configured to the group.
When is Starch the wrong call?
When the model, not the workflow, is the work. A desk whose week is bespoke analysis rather than recurring process gets less from this.
How does Starch compare with the platforms?
Side by side, with sources and checked dates, on the comparison pages: Hebbia, Rogo, Harvey, AlphaSense, ChatGPT and Claude.

See it move

Reach the name before the desk across the street
does.

See the coverage work already running on other FIG desks, then see it on your own names.

Book a demo
Productivity over time: no AI, a generic AI platform, and StarchThree conceptual lines show productivity over time, with no numeric scale. Without AI, productivity grows slowly. A generic AI platform grows faster. Starch grows fastest, compounding as workflows learn the firm's precedent and desk standards.TIMEPRODUCTIVITYNo AIGeneric AI platformStarch

Reviewed by Frances Hughes, Co-founder and CEO.Last updated 3 October 2026.