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AI context layer for
investment banking

Bankers don't lose time making decks.

They lose it figuring out what to make.

Brief answers the questions before they reach you. It reconstructs the relevant precedents, client history, comps, and your prior judgment from the firm’s own work, so the team starts with the right context.

SEE HOW IT WORKS

From a vague morning email to a cited resolution

Senior Banker Email

RE: Acme — comps for Thursday

David K. (MD) → Deal Team

Analyze

Brief Resolution

Awaiting analysis…

From a dozen questions to a single answer

Deal team · inbound42 asks this week

Put together the take-private deck for the client.

Which precedent should I use?

Which comps?

What did we show this client last time?

Is there any situational context I should know?

How do you want this presented?

Brief is resolving

Brief already knew how David would want this.

David would like to frame it around the take-private angle. His usual take-private decks lead with market overview pages and comparable companies analysis.

Market overviewOff-the-shelf pages last circulated by James 4 days ago

PrecedentAtlas Strategic Review deck, Aug 2025 — presented to the CFO

CompsBrenntag, IMCD, Azelis, DKSH, Univar

FormatClient-customized color palette, not the bank-wide template

Client historyDavid has led this client for 2 years, incl. a bond issuance. They're keen to go private — waiting for the right window.

Why Brief

The context layer that unlocks the analysts.

Grounded in your corpus

Brief indexes your shared drive, email and models so every answer comes from work your firm has already done. No open-web guessing.

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Pitch decks & memos

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Models & spreadsheets

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Meeting notes

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Emails & threads

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Pitch decks & memos

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Models & spreadsheets

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Meeting notes

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Emails & threads

Answer the questions before analysts ask them

Brief resolves the recurring questions analysts ask before work begins

Which comps?

→

Brenntag · IMCD · Azelis · DKSH · Univar

What discount rate?

→

WACC: 9.5%

Which model?

→

Acme DCF Model · WACC tab

Where was it used?

→

Acme Board Deck v7 · p.14

Cite every source

Every line traces to a specific deck, model, and page so bankers can verify, not just trust.

"Prior Acme materials used Brenntag, IMCD, Azelis, DKSH, and Univar as the core trading comps."

DeckModelEmail

Evidence trail

Acme Fairness Presentation

p.16 · Trading Peer SetBNR · IMCD · AZE · DKSH · UNVR

Deck

2026.04 Spec Chemicals Backup_v4.xlsx

Public Comps · rows 14–28EV/EBITDA: 11.0x–20.2x

Model

David thread · Aug 9

Email“Use the European distributors as the core peer set for this client going forward”

Security

Built around how banks handle sensitive data.

No training on your data

Your documents are never used to train or fine-tune any model.

Single-tenant by design

A dedicated deployment in your own cloud. Never pooled with another institution.

Scoped to the deal

Architected to keep each query within a single deal, not the firm.

Encrypted everywhere

In transit (TLS) and at rest (AES-256), across storage and networks.

Least-privilege access

Role-based permissions, designed for SAML/SSO with your identity provider.

Every answer is traceable

Every line traces to the exact document, model, and page it came from.

GET STARTED

See Brief run on your own deals.

We'll walk your deal team through a live resolution on a real senior banker email.