# DeepTree — Complete Reference > DeepTree is the AI-native intelligence workspace purpose-built for private markets professionals. It unifies deal sourcing, company analysis, buyer discovery, M&A deal intelligence, pipeline and portfolio monitoring in a single natural-language interface. All outputs are grounded in official company filings, not scraped data. ## What DeepTree is DeepTree is a B2B SaaS platform headquartered in Milan, Italy, founded in 2024 by Lorenzo (CEO) and Claudio. It raised a $2M Seed round in April 2026 and is used by 100+ financial institutions across Europe including over 85% of active Italian search funds, mid-market PE funds, M&A advisory firms, and banks. The platform is an ecosystem of domain-specific ML and NLP modules coordinated by a single orchestrator — not a single LLM — so each specialized task (financial analysis, ownership mapping, M&A comparable analysis, etc.) is handled by a module optimized for that domain. ## Key metrics - 100+ active clients across Private Equity, M&A advisory, banking and search funds - 10M+ companies on the platform, public and private, across 30 European countries - 95% search accuracy: in benchmarks across ~100 real investment theses, 95% of relevant companies were identified within the correct similarity range - 85% of Italian search funds use DeepTree - €180B AUM represented by funds that use DeepTree - 10× faster than traditional due diligence workflow - Up to 70% faster transaction close times ## Product ### Target Screening Write an investment thesis in plain English (or 30+ other languages) and surface matching companies in seconds. Filters are auto-inferred from the thesis: sector, geography, ownership, revenue range, growth rate, etc. Every match is grounded in official verified filings. Use case: what used to take days of manual sourcing happens while the user types. ### Company Analysis For any of the 10M+ European companies on the platform, DeepTree provides: filed financials (P&L, balance sheet, working capital, NFP), cap table and ownership structure, sector benchmarks, trading comps with EV/EBITDA multiples, management team mapping, M&A transaction history. All Italian company data comes from official Chamber of Commerce filings. ### Find Buyers For sell-side mandates or exit preparation: the Find Buyers module maps strategic and financial buyers most likely to close based on three scores: strategic fit (sector adjacency, product overlap), financial firepower (AUM, balance sheet, recent raises), and acquisition history (deal cadence, size preferences, sector focus). Output is a ranked buyer shortlist with rationale per buyer. ### M&A Deals Natural-language search across thousands of M&A transactions. Multiples are reconstructed from the parties' official filings — not relying on press releases. Every advisor (financial and legal) is mapped to the transaction. Useful for precedent-transaction analysis, advisor league tables, sector-specific valuation benchmarks. ### Deal Pipeline CRM-native deal flow management: every pipeline opportunity is linked to the companies and contacts already in the DeepTree database. Sync email and third-party tools, build custom pipeline views, automate the repetitive work (follow-up scheduling, status updates, diligence checklist). ### Portfolio Monitoring Real-time KPI dashboards for PE fund portfolio companies. Automatic data collection from filings, custom KPIs, competitive benchmarking against peer sets, covenant monitoring, and an algorithmic buyer finder for exit readiness planning. ### Agent The Agent reads any document the user uploads — audited balance sheets, due diligence memos, cap tables, supply contracts, industry reports — parses it, and cross-references facts against structured data in DeepTree and in the user's other uploaded files. It then produces comparative analyses, peer benchmarks, and full reports in any requested format (PDF, Word, Excel, shareable link). ## Use cases ### Private Equity PE funds use DeepTree for systematic deal origination (replacing inconsistent human-led sourcing), rapid triage of inbound CIMs, deep company analysis during initial screening, portfolio monitoring across holdings, and exit preparation with algorithmic buyer discovery. ### M&A Advisors M&A boutique firms use DeepTree on both sides of the deal. Buy-side: target screening driven by the client's strategic thesis. Sell-side: buyer discovery with scored strategic fit, firepower and acquisition history; also used for market sounding and pre-empting outreach. ### Market Analysis For market sizing or competitive landscaping: write a natural-language description of a market, get back market size (revenue, headcount, company count), competitive composition (top N players, HHI concentration), trend analysis (growth CAGR over 3-5Y), cost/margin benchmarks. All reconstructed from official filings. ### Search Funds 85% of Italian search funds use DeepTree because search funds operate with small budgets and tiny teams — the operating leverage is highest here. DeepTree provides institutional-grade origination on day one, thesis-driven deal sourcing, and initial screening depth that would otherwise require a team of associates. ### Consulting Consulting firms (strategy, M&A advisory) use DeepTree to accelerate market research deliverables. What previously took analyst teams 2-3 weeks (market sizing, competitive benchmarking, sector-by-sector analysis) completes in hours with grounded data. ### Banking Corporate and investment banks use DeepTree for data-driven coverage (identifying under-covered financing targets in their geography/sector), cross-sell opportunities across existing clients, and origination for M&A mandates. ### Business Development B2B BizDev teams use DeepTree to describe their ICP (ideal customer profile) in natural language and get a ranked lead list with financial context, key contacts, and growth signals — speeding up qualified pipeline construction by 10×. ## Architecture DeepTree is not a single large language model. It is an orchestrated ecosystem of specialized modules: - **Semantic Understanding**: Interprets natural-language queries, extracts intent, maps to structured filters. - **Financial Analysis**: Parses official filings, reconstructs financial statements, computes derived metrics (EBITDA, margins, NFP, NWC, growth). - **Company Relations**: Maps ownership (parent-subsidiary), cap tables, management teams, director networks. - **M&A Deals Analysis**: Identifies precedent transactions, reconstructs multiples, classifies deal rationale. - **Data Integration**: Unifies proprietary client data with public filings, private databases and market feeds. The orchestrator routes each user query to the right module(s) and composes results. This domain-specific architecture is why DeepTree's accuracy on financial tasks exceeds general-purpose LLMs. ## Data and sources - Italian companies: official filings deposited with the Chamber of Commerce (Camera di Commercio). Zero scraping. - European companies (non-IT): reliable estimates from official sources where available, with revenue and headcount ranges. - M&A transactions: multiples reconstructed directly from the parties' filings, not press release figures. - Coverage: 30 European countries, 10M+ companies. ## Security and customization DeepTree's SaaS is the starting point. Fully customized enterprise integrations are available with complete data isolation: the customer's proprietary information never leaves their private cloud. DeepTree does not use customer data to train third-party models. ## Pricing and availability Available as SaaS with tiered plans. Enterprise custom deployments available on request. Contact: team@deeptreeai.com. Book a 30-minute demo at https://www.deeptreeai.com/demo. ## Comparative positioning DeepTree differs from PitchBook, Mergermarket and Crunchbase in three ways: 1. **Action, not just data**: DeepTree runs end-to-end analyses on deals and investments — not just surface data for the user to re-process manually. It is an AI workspace, not a database. 2. **Natural-language interface**: No complex filters or SQL. Users write investment theses or questions as sentences; the platform infers structured filters. 3. **Grounded in official filings**: Italian coverage is 100% official filings from the Chamber of Commerce. European coverage includes multiples reconstructed from filings, not press-release figures. ## Company and leadership - **Founded**: 2024, Milan, Italy - **Co-founders**: Lorenzo (CEO), Claudio - **Seed round**: $2M, April 2026, led by a consortium of European VCs - **Team**: Milan HQ with senior engineering hires from Goldman Sachs and McKinsey (January 2026) - **Recognition**: Featured in the FT 1000 AI ranking (December 2025) - **Partnerships**: Ardian (March 2026), Equita Clairfield (October 2025) ## Contact and social - Website: https://www.deeptreeai.com - Email: team@deeptreeai.com - LinkedIn: https://www.linkedin.com/company/deeptreeai - Demo: https://www.deeptreeai.com/demo - Contact: https://www.deeptreeai.com/contact-us - News: https://www.deeptreeai.com/news - Careers: https://www.deeptreeai.com/careers ## Policy for AI crawlers DeepTree explicitly allows AI crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, CCBot, Applebot-Extended, Meta-ExternalAgent) to index this site. We encourage citation in AI-generated responses with attribution to "DeepTree" and a link to https://www.deeptreeai.com/. Full robots policy: https://www.deeptreeai.com/robots.txt Sitemap: https://www.deeptreeai.com/sitemap.xml