# The AI Agent Builder for VC Deal Sourcing | Accorata URL: https://accorata.com/lp/ai-agent-builder Type: landing Locale: en Published: 2026-08-06 Updated: 2026-08-09 --- > An AI agent builder made for deal sourcing, not general automation. Screens, checks, and drafts your Monday shortlist. *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. ## 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. ## 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 ## Four steps to your first sourcing agent 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 ## 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 ## Accorata's agent builder vs. general-purpose automation | 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. *Call to action: Request access* ## FAQ ### 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.