Investors & Deal Teams
Turn a thesis into a target shortlist—fast, evidence-backed, and defensible.
Find, qualify, and shortlist companies in seconds using LLM-assisted semantic search over structured business data + digital footprint (web, news, social). Vector search + embeddings + hybrid retrieval + retrieval-augmented generation (RAG) to produce shortlists.
Turn a thesis into a target shortlist—fast, evidence-backed, and defensible.
Find ICP-matching accounts using semantic discovery, not brittle filters.
Identify partners, channels, and ecosystem players with grounded rationale.
Build market maps, competitor sets, and benchmarks with source-backed results.
Industry codes don't describe what a company actually does—so humans do the work.
Tech is not a strategy—and it is not a reliable filter.
Thousands of results → hours of manual screening.
Copy/paste, tab switching, guesswork.
Real business activity lives on the web.
From intent to an explainable shortlist in seconds—powered by LLM-powered analytics, semantic retrieval, and RAG over structured data and digital footprint signals.
Similar, Description, and Keywords.
Every result includes a rationale with cited snippets via RAG.
Combine sematic retrival with lexical search.
Shortlists for deal sourcing, sales, BD, and consulting.
Identify acquisition targets, platforms, add-ons, and buyers faster than traditional databases. Build thesis-aligned shortlists and reduce manual screening.
Generate market landscapes, competitor sets, and supplier/vendor longlists quickly. Deliver sharper, evidence-backed recommendations.
Discover partners, channels, distributors, and ecosystem players. Build targeted lead lists and accelerate partnership pipeline creation.
Find net-new accounts aligned to your ICP using semantic discovery. Improve outreach efficiency with higher-quality targeting.
SourcifAI is an AI-powered company discovery platform built for deal sourcing, sales, business development, and consulting. It combines structured business data with digital footprint signals (websites, news, hiring, tech stack) and applies LLM-powered analytics, semantic search, and RAG (retrieval-augmented generation) to produce tailored, explainable, source-backed shortlists in seconds.
RAG (retrieval-augmented generation) combines search with generation: the system retrieves relevant evidence first, then generates a grounded explanation. In SourcifAI, this means each match includes an explainable rationale backed by sources—so teams can trust, review, and defend why a company appears.
Traditional databases rely heavily on industry tags, codes, and filters that often fail to capture what a company actually does. SourcifAI uses embeddings for enterprise data, a vector database, and hybrid retrieval to interpret real-world signals and intent—delivering higher relevance and explainable results instead of long, low-signal lists.
SourcifAI is designed for investors and deal teams, sales teams, business development teams, and consultants—anyone who needs faster company discovery, higher relevance, and evidence-backed shortlists for high-stakes decisions.
You can run Similar Company search ("like X"), Description-based discovery (natural-language prompts), and semantic Keyword search to generate shortlists quickly—complete with explainable, source-backed rationales. The beta currently focuses on Italian tech companies, with an expansion roadmap available on request.