
Velari provides an AI-powered deal origination platform that helps private equity firms and search funds identify off-market companies that traditional sourcing methods miss. The platform consolidates multiple tools into a single workflow, delivering higher-quality target discovery and enrichment for exhaustive company search.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional deal sourcing tools rely on structured databases and manual screening, which miss the vast, constantly changing universe of off-market companies that meet highly specific investment criteria. This fragmented approach forces private equity firms and search funds to use multiple disconnected tools, resulting in incomplete target lists and inefficient workflows.
Solution
Velari uses AI agents to solve the core retrieval problem behind exhaustive company search, scanning across massive, unstructured data sources to surface off-market targets that current tools overlook. The platform consolidates several previously separate tools into one system, producing higher-quality outputs while reducing the cost and complexity of building this capability in-house. Velari enriches and validates potential targets and contacts, enabling users to identify, validate, and act on acquisition opportunities with greater speed and precision.
Target Audience
Primary customers are search funds, private equity firms, and M&A brokers who need to identify and validate off-market acquisition targets and relevant business contacts.
Features
- AI-powered agents that continuously search unstructured public data sources to discover off-market companies matching complex thesis criteria
- Consolidated workflow that replaces multiple standalone tools for target identification, validation, and enrichment
- Company and contact enrichment using public registries, corporate websites, and commercial data providers
- Custom scoring rules and tags that let users configure workflows around specific investment theses
- Data processing infrastructure designed for B2B context, with customer data ownership and confidentiality protections