For early-stage VC teams

The AI Agent Builder for Deal Sourcing

Build an AI agent that screens inbound deals, checks founder footprints, and drafts your Monday shortlist. No engineering ticket required.

Request access See how it works

European VC analyst desk at dusk with dashboard monitors, Zurich skyline through the window

What you actually get

An agent builder that already knows deal sourcing

Six things a generic automation tool does not ship with.

Deal-specific data, wired in

Crunchbase, Affinity exports, LinkedIn, and company filings are already connected. You are not writing API glue code for a source you will use twice.

Minutes, not a sprint

Describe the deal you screen for once. The agent runs on that description starting today, not after a two-week build.

EU-hosted by default

Data stays on EU infrastructure out of Zurich, aligned with the GDPR and SOC 2 expectations most funds already answer to their LPs.

Memo-ready output

The agent drafts a structured section for your IC memo, not a data file you reformat by hand on a Sunday night.

Runs on a schedule

Set a refresh cadence and the shortlist updates itself. No re-entry between your inbox, Affinity, and the agent.

Founder footprint checks

Every flagged company arrives with a founder background pass: prior companies, public statements, and flags worth a second look.

Why now

Deal teams are already building agents. The question is which one.

82%

of private capital professionals now use AI for deal sourcing research, up from 64% in 2025 (Affinity)

40%

of enterprise apps will ship a task-specific AI agent by the end of 2026, up from under 5% in 2025 (Gartner)

40+

sources the Accorata sourcing agent checks, refreshed every 4 hours, without manual re-entry

How it works

Four steps to your first sourcing agent

From a blank prompt to a working screen in one sitting.

1

Describe the deal

Write what you screen for in plain language: stage, sector, geography, check size. No workflow diagram required.
2

Point it at your sources

Connect Crunchbase, Affinity, and your inbox. The agent reads what is already there before it asks for anything new.
3

Set the screening logic

Tell it what disqualifies a deal and what earns a second look. Adjust the logic as you learn what it misses.
4

Get a memo-ready draft

Each flagged company arrives with a first-draft memo section: thesis fit, flags, and the sources it used.

Screen inbound before your Monday stand-up

Most funds still triage inbound decks by hand on Sunday night. The Accorata agent reads what arrived Friday through Sunday, flags what fits your thesis, and ranks the rest below the fold. By Monday morning, the shortlist is already built. The analyst reviews it instead of assembling it from scratch.

Reads inbound decks and cold emails automatically
Ranks against your stated thesis, not a generic score
Flags missing information instead of guessing at it

Analyst hands typing on a laptop showing a blurred deal dashboard, coffee and notebook on the desk

Turn a plain-language query into a shortlist

Ask the agent a question the way you would ask a junior analyst: seed-stage fintech, Europe, raised in the last 18 months, no more than two competitors funded. It returns a ranked list with sources attached, not a filter menu to configure by hand. Refine the question and the shortlist updates in the same session.

Natural-language queries instead of filter menus
Sources attached to every result, not just a score
Refines in the same session as you narrow the ask

A three-person early-stage VC team reviewing a shortlist together on a laptop in a Swiss meeting room

Accorata's agent builder vs. general-purpose automation

The difference shows up before the agent ever runs: what it already knows about a deal.

Criteria	Accorata agent builder	Generic no-code builders
Deal data sources	Pre-wired to Crunchbase, Affinity, and company filings	You connect and maintain each API yourself
Setup time for a sourcing agent	Minutes, from a plain-language description	Days to weeks of workflow building
EU data residency	Default, hosted out of Zurich	Depends on your own hosting choice
Output format	IC-memo-ready draft section	Raw data you format by hand
Built for	VC deal screening specifically	General-purpose automation

Questions analysts actually ask

What does an AI agent builder mean for a VC fund?

It means you describe the screening you want in plain language and the agent runs it against live deal data, instead of you configuring a generic automation tool from a blank canvas.

How is this different from building an agent in a general-purpose tool?

A general-purpose builder gives you blocks and lets you wire up your own data sources. Accorata starts already connected to Crunchbase, Affinity, and company filings, so the setup step mostly disappears.

Does the agent replace the analyst's judgment?

No. It handles the first pass: reading, ranking, and drafting. The analyst still decides what goes to partner meeting and what gets a pass.

Where is deal data stored, and is it GDPR-compliant?

Data is hosted on EU infrastructure out of Zurich by default, aligned with the GDPR and SOC 2 expectations most European LPs already require.

Can a 2 to 4-person fund set this up without an engineer?

Yes. Setup is a plain-language description and a source connection, not a workflow diagram. Most small funds run their first agent the same day.

What happens when a data source changes its API?

Accorata maintains the connections to Crunchbase, Affinity, and the other sources, so a change on their end does not break your shortlist.

How often does the shortlist refresh?

Every 4 hours by default across the 40-plus sources the agent checks. The cadence can be adjusted per fund.

Can I export the agent's output into our existing IC memo template?

Yes. The drafted memo section exports as text, ready to paste into whatever template your fund already uses for IC.

Build your first sourcing agent this week

Set it up, point it at your pipeline, and see what it flags before your next Monday shortlist.