A practical comparison of the top deal sourcing platforms for PE firms in 2026 — what each does well, where each falls short, and how to choose.
Deal sourcing software has changed more in the last two years than in the decade before it. The shift from keyword databases to AI-driven discovery has created a real split in the market: tools that work the old way, and tools that work the new way. This guide covers both.
Before comparing tools, it helps to be clear on what actually matters:
Coverage — How many companies are in the database? A tool with 5 million companies will miss targets that one with 50 million catches. Global coverage matters if you source outside the US.
Search quality — Can you describe what you're looking for in plain language, or do you have to translate your thesis into a set of dropdowns? This distinction matters more than most buyers realize.
Personalization — Does the tool understand your firm's thesis, or does it treat every firm the same? A PE firm focused on lower middle market industrials should see different results than a growth equity firm focused on B2B SaaS.
Monitoring — Can it watch sectors and surface signals continuously, or is it a static database you have to go back and search manually?
Workflow integration — Does it connect to your CRM, or does every export require manual work?
Radar is built around a chat interface rather than a filter panel. You describe what you're looking for in plain English — "founder-led B2B software companies serving the automotive supply chain, under 200 employees, outside major tech hubs" — and it finds them. The underlying search is semantic, not keyword-based, which means it finds companies based on what they do rather than what words appear in their profile.
The personalization layer is the other differentiator. Radar analyzes your existing portfolio and investment criteria and uses that to re-rank results specifically for your firm. Two firms searching for the same thing will see different orderings because their thesis is different.
For PE specifically, the similar company search is useful for add-on identification. Point it at a platform company and it returns the closest matches across millions of private companies, ranked by vector similarity and filtered by whatever criteria you set.
Enterprise customers also get agentic monitoring: Radar watches for actual company change signals (new funding rounds, new investors, operating status changes) and relevant sector news, reasons across them, and delivers a weekly report explaining what changed and what it means for your thesis. It's not a news alert. It's analysis.
Best for: Firms that want semantic discovery, thesis-driven personalization, and active sector monitoring. Pricing: Starts at $100/month per seat. Enterprise pricing on request. Try it: tryradar.ai
PitchBook is the incumbent. It has deep data on funding rounds, valuations, investors, and M&A transactions, and its coverage of venture-backed companies is hard to beat. For firms doing deals in the venture-backed market where financial data matters, PitchBook is often the right answer.
The weakness is search. PitchBook is fundamentally a structured database with filters. If you know exactly what you're looking for — Series B SaaS companies in healthcare that raised between $10M and $50M — it works well. If you're trying to find companies that fit a qualitative thesis, the filter interface becomes a constraint. You can only find what the filters let you describe.
It's also expensive, typically starting at several thousand dollars per seat annually, which puts it out of reach for smaller firms.
Best for: Firms doing venture-backed deals where financial data and cap table information are central to sourcing. Weakness: Qualitative search, price.
SourceScrub focuses on the lower middle market — privately held, non-venture-backed companies that don't appear in PitchBook. Its database skews toward owner-operated businesses and is popular with buyout firms sourcing in the $5M-$50M EBITDA range.
The data quality on smaller companies is generally good, and the platform has features specifically designed for relationship tracking and outreach. It functions partly as a sourcing database and partly as a lightweight CRM.
The search is keyword and filter-based, which carries the same limitations as PitchBook. And like PitchBook, it doesn't personalize results to your firm's thesis.
Best for: Lower middle market buyout firms sourcing non-venture-backed businesses. Weakness: Qualitative search, limited semantic discovery.
Grata is one of the newer entrants and has invested in better search than the incumbents. Its search is more flexible than PitchBook or SourceScrub and it has decent coverage of smaller private companies.
It's a reasonable middle-ground option for firms that want better search than the incumbents without the full shift to an agentic tool. The monitoring and personalization capabilities are limited compared to Radar.
Best for: Firms that want better-than-keyword search without committing to a fully agentic workflow.
Axial is different from the others — it's a deal marketplace rather than a company database. Sellers (business owners and intermediaries) list themselves on Axial to connect with buyers. It's useful for finding companies that are actively running a process, which is both its strength and its limitation.
If you want to find companies before they're in a process, Axial won't help. If you want deal flow from intermediaries in a specific sector, it's worth having.
Best for: Firms that want inbound deal flow from motivated sellers. Weakness: Only surfaces companies already running a process.
The right answer depends on where you source and how you think about thesis expression.
If your thesis is qualitative and you're trying to find companies that fit a description rather than a filter set, the semantic tools (Radar) will find deals the others miss.
If you source primarily in the venture-backed market and financial data is central to your process, PitchBook's depth is hard to replace.
If you source in the lower middle market among owner-operated businesses, SourceScrub's coverage is strong.
Most larger firms use more than one. A common stack is a semantic discovery tool for proactive sourcing plus PitchBook for financial data on specific companies.
Radar offers a free trial so you can run your own searches against your thesis before committing. Get started here or book a demo if you'd rather see it with your own deal flow.