The gruntwork goes.
The banking stays.
Starch runs the RFPs, due diligence, coverage follow-through and deal admin your team still does by hand, so the week goes back to clients.
Built by bankers, for bankers
Starch runs the RFPs, due diligence, coverage follow-through and deal admin your team still does by hand, so the week goes back to clients.
Before Starch
Eliminate repetitive manual work with StarchSo you can focus on the judgment and relationships that matter
How we work
Starch arrives inside the systems your desk already trusts, in a private tenant your data never leaves. No migration, no retraining, no long deployment.
A banker who has done the work and an engineer who builds it, staying until it runs.
Your own tenant, in your cloud or ours. Nothing is pooled, nothing trains a model.
SharePoint, Outlook, Teams, the CRM, the data room. They stay the systems of record.
Agents prepare and check. Anything client-facing waits for a named person.
Numbers come from the tool your firm validated. Conflicts block rather than resolve.
We learn your workflow, then configure and maintain it for your team.
Questions
Yes, we may work with other firms in your sector, and we would rather say so than let you find out later.
What they get is not what you get. The build runs on your precedent and your approval standards, so two groups covering the same sector diverge from day one, and yours keeps diverging as it learns from your engagements.
Horizontal finance AI platforms can produce real financial work across many use cases. Starch starts with a named desk workflow and owns its configuration, integrations, review path and upkeep.
The distinction is operating responsibility. The workflow is tailored to your precedent and standards, and the Workspace underneath runs it. The named comparison, sources checked, is on the comparison pages.
A banker and an engineer assigned as a pair. The banker knows where the artifact goes wrong; the engineer builds against that, not a spec.
They stay until it runs on your own documents, which is where deployments stall.
Single-tenant deployment, in your cloud or ours. Your data is never pooled with another firm's, and it is never used to train a model.
Access is scoped per person and per team, with an exportable audit trail.
Your team, always. Agents do the preparation and surface it for review. Nothing reaches a client, an issuer, or a regulator without a named person approving it.
Once routed for approval an artifact is read-only, so what is approved is what gets sent.
No, and we would rather you didn't. SharePoint, Outlook, Teams, the CRM, the data room, and the desk's own modelling software stay the systems of record.
That boundary is deliberate: client-facing numbers should come from the tool your firm validated.
Sometimes. The question we ask is whether your work reuses the same evidence graph and approval engine, or whether it needs a new one built from scratch.
If it is close, we can help quickly. If not, we will say so.
See what we have built for other desks. Then see how we can do the same for you.
Book a demo