Waverly AI

• AI-agents for custom sourcing of investment targets
• Natural language prompts to map niche sectors
• Scrapes and analyzes company websites, filings, and public data
• Automated market landscape generation with company lists
• Thematic deep dives and signal detection
• Competitor & adjacent market discovery
• Exportable outputs (shortlists, summaries, structured data)
• Ability to draft personalized outreach (cold emails)
• Semantic / AI search beyond boolean filters
• Support for custom data sources & enrichments

Waverly AI is a specialized generative research platform aimed at investment professionals, private equity firms, and analysts who need to source and analyze companies in complex, niche, or fragmented sectors. Rather than relying on static databases or manual searches, Waverly’s AI agents dynamically crawl, scrape, and synthesize data from company websites, public filings, regulatory sources, and domain-specific datasets to deliver curated, actionable outputs.

With Waverly AI, users simply describe their investment angle or research thesis in natural language. The platform then dispatches AI agents to survey thousands of firms, filter relevancy, and return a refined shortlist of high-potential targets. It goes further by generating market maps, thematic breakdowns, competitive landscapes, and adjacent market signals — all tailored to the user’s prompt. Because it uses semantic search and AI, Waverly can capture subtler relationships that keyword or Boolean filters often miss.

One notable feature is the ability to go from discovery to action. Waverly doesn’t just provide lists; it also suggests outreach strategies, templates, or summaries for communicating with targets. This positions it as an end-to-end tool for sourcing, analysis, and engagement. The outputs are exportable into usable formats (CSV, summary decks, structured lists) so users can directly plug them into workflows.

The pricing model includes a free trial, after which users subscribe to plans granting more usage, access to advanced features, and bespoke engagement. Because Waverly is built by finance professionals, it is optimized around workflows in deal sourcing, thematic mapping, and deep niche research.

In practice, Waverly AI aims to beat traditional databases in precision, relevance, and speed by combining web-scale data crawling with intelligent filtering. For investment teams, analysts, and operators, it offers a powerful assistant that dramatically shortens the time between idea and target scope.