How Vento Ventures scaled portfolio management.

Vento Ventures used Toolhouse to transform portfolio management and due diligence. By automating the ingestion of complex investment data and founder performance updates, the firm unified its data ecosystem and positioned a small team to manage a rapidly growing portfolio without additional headcount.

What Vento Ventures does: early-stage VC for Italian founders

Vento Ventures is a venture capital firm with €100M in assets under management, dedicated to investing in early-stage founders globally. The firm manages a portfolio of more than 130 companies with a lean team focused on high-speed, high-quality investment decisions and consistent, data-driven support for founders.

For Vento, data integrity is the primary operational challenge. Investment performance depends on capturing structured data from unstructured sources such as PDF term sheets, email updates, and loose documents across hundreds of companies.

Key results

• Standardized 85% of deal flow by automating the ingestion and parsing of investment contracts and company updates.
• Created a single source of truth by centralizing fragmented data from Google Drive, email, and Attio CRM.
• Eliminated manual entry for KPI tracking, revenue updates, and document tagging.
• Created a scalable architecture for an anticipated portfolio of 350+ companies without increasing administrative overhead.

The challenge: the data bottleneck

Vento faced a classic scaling problem: deal flow and portfolio monitoring were becoming increasingly manual.

• Fragmented sources: Investment data lived in Google Drive folders, founder emails, and Attio CRM, with no unified link between them.
• Complex document parsing: Due diligence required precise financial metrics such as IRR, TVDPI, and ownership percentages from term sheets, convertible notes, and stock purchase agreements.
• Founder burden: Asking founders to fill out external forms or use complex third-party software was intrusive and led to low compliance.
• Manual overload: The team manually entered MRR, burn, and cash-in-bank figures from emails into spreadsheets, creating a flow prone to human error.

Why automation became the answer

Vento needed to move away from manual copy-paste workflows and spreadsheet-driven reporting. The firm required a team of specialized AI workers that could operate surgically on documents like a human analyst, understand the context of a deal, and update systems of record automatically.

The goal was to work with the formats founders already used rather than force every company into a new reporting process.

How Vento Ventures uses automation

Intelligent due diligence and ingestion

Vento uses Toolhouse's platform reactiveness to power a direct data pipeline. When a deal closes, the process is triggered automatically.

• Automated document analysis: A team of Toolhouse AI workers monitors designated Google Drive locations. When a contract in PDF or Word format is uploaded, the worker extracts and parses key financial terms such as pre-money valuations and investment amounts.
• Workflow orchestration: The worker reconciles that data against Attio CRM so company master data matches executed investment documents.

Automated KPI extraction

Instead of manually updating spreadsheets with founder reports, Vento uses a Toolhouse email-to-agent pipeline.

• Founder update parsing: Founder update emails, PDF attachments, and linked Notion pages are parsed automatically. The worker extracts MRR, employee count, churn rate, and runway, then pushes them into Vento's Supabase-managed database.
• Edge case handling: While 85% of deals are straightforward, complex contracts are flagged for manual review. The team focuses on exceptions instead of routine data entry.

Portfolio performance analytics

By centralizing data through Toolhouse, Vento gives its team a unified dashboard with two complementary views:

• Portfolio performance: Fund-level views including IRR and TVDPI calculations.
• Company performance: Deep-dive analytics for individual startups, including MRR and burn trends plus qualitative context such as market dynamics and fundraising plans.

Data integrity is not a reporting feature. It is the operating layer that lets a lean investment team make better decisions at speed.

The impact: operational leverage at scale

By automating the ingestion and analysis of portfolio data, Vento no longer relies on expensive, rigid third-party software that requires manual input. Its system adapts to the formats founders naturally use: email, PDFs, and links.

That lets the team focus on high-value activities such as analyzing investment opportunities and supporting founders rather than managing spreadsheets. Vento moved from a messy, manual flow to a scalable architecture that automatically ingests deal data and tracks performance in real time.