For Startups & Founders

Be investor-ready before the first meeting

Structure your data room, run your raise like a pipeline, and find the investors whose thesis actually matches yours.

Create a startup profile
Investor-grade data rooms: a standard diligence tree, versioning, view analytics and full access logs.

A day in the life

How the work actually flows

  1. Morning

    Fill the gaps

    Your data room opens on the venture-standard tree, overview, corporate, founders, product, market, model, traction, financials, funding, and shows exactly which folders are still thin.

  2. Midday

    Find the right money

    Investor Discovery filters 20+ investor types by stage, sector, geography and AI match score. Shortlist, favourite, message.

  3. Afternoon

    Move the pipeline

    Drag deals through eight stages from Sourcing to Legal & Closing, and let the AI Engine draft the memo language while you keep talking to investors.

Modules that matter

What you'll actually use

Investor-grade data rooms: a standard diligence tree, versioning, view analytics and full access logs.

Data rooms investors respect

Versioned documents, view counts and an access log, so you know which investor actually read the financials.

Twenty-plus investor types, filterable by stage, sector, geography and AI match score.

Investor discovery with match scoring

Type, AUM, stages, sectors, location, portfolio count, deal pace and match % in one sortable view.

From sourcing to signed: an eight-stage pipeline for every raise.

A pipeline for your raise

Eight configurable stages, board or list view, stats panel and live counts.

An AI analyst in every layer — deal analysis, deck review, diligence drafting, memos and portfolio commentary.
Shown: a live white-label deployment.

An AI analyst on your side

Deck review scoring and critique, market framing and memo drafting, from your own materials.

See the whole ecosystem in one demo

Thirty minutes, your use case, a live deployment. No slideware.