For Public Finance

A mandate that moves before the chase begins.

Starch watches for the work, starts from the group's precedent and carries each response through the DBC handoff, review and submission.

Built by bankers, for bankersGoldman Sachs

What stops being manual

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

Somebody watches the portals, and the response is rebuilt anyway.

Every solicitation is caught, qualified and drafted from your wins.

Issuer news breaks after the competitor has already called.

Events meet relationship history on landing, call brief drafted.

The mandate's status lives in whoever touched it last.

It stays current through submission, with stalled handoffs surfaced.

Refunding windows open quietly and close the same way.

Series and call schedules stay watched, numbers ready for review.

One joined workflow

The work advances in the same view.

01

Detected

Portals watched, nothing missed

02

Qualified

Scored against the group's criteria

03

Drafted

Built from your winning responses

04

Reviewed

A named banker signs

05

Submitted

Filed with a clean trail

It starts on its ownIt ends on the record

Before you book

Asked about Public Finance.

What does onboarding involve?
A banker and an engineer, as a pair. They scope one workflow, usually the RFP response or the coverage list, build it against the group's own documents, and stay until it runs on your portals.
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 build runs on the group's own precedent, portals and approval standards, so two firms covering the same issuer diverge from day one.
When is Starch the wrong call?
When the work does not reuse precedent or approvals. If the desk's process is being redesigned first, finish that, then automate what is left.
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

File the response before the group across the street
does.

See the RFP work already running on other public finance desks, then see it on your own portals.

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.