Grata has improved on traditional deal sourcing databases, but it's not the only option. Here are the best alternatives and what each does well.
Grata has earned a solid reputation by offering a cleaner, more modern take on private company search. For teams that found PitchBook's keyword filters too rigid but weren't ready to fully rethink their workflow, Grata has been a reasonable middle ground. It has good coverage of smaller private companies, a more intuitive interface than the incumbents, and search that goes beyond strict keyword matching.
But "better than PitchBook's search" is a relative bar. If your thesis is nuanced or your sourcing needs are evolving, Grata's limitations start to show. Here's an honest look at what else is available.
A few common reasons come up:
Search ceiling. Grata's search is more flexible than traditional keyword-and-filter databases, but it's not fully semantic. It understands some natural language, but it still struggles with the kind of qualitative, thesis-driven queries where the right companies describe themselves in completely different terms than you'd use to search for them. The gap between "improved keyword search" and true semantic search is meaningful in practice.
Limited personalization. Grata returns the same results for every user running the same query. It doesn't learn your firm's thesis, portfolio patterns, or investment preferences. Two firms with very different mandates searching for "B2B SaaS in healthcare" see the same ranked list. For firms where thesis fit is the primary filter, that's a real gap.
Monitoring is basic. Grata offers some alerting features, but they're closer to saved searches that re-run periodically than genuine monitoring with reasoning. If you want to track a sector and understand what changes mean for your thesis — not just that something changed — Grata doesn't get you there.
Coverage trade-offs. Grata's strength is in the private company segment that PitchBook under-covers, but its depth on financial data, cap tables, and funding history is thinner than the incumbents. Depending on what you need, you may still find gaps.
Radar is built around a different model entirely. Instead of filters and dropdowns, you describe what you're looking for in a chat interface and it returns companies ranked by semantic similarity using vector embeddings. That means a search for "predictive maintenance software for industrial equipment" also surfaces companies that describe themselves as "condition monitoring analytics for rotating machinery" or "asset health platforms for manufacturing" — same space, different vocabulary. Keyword search misses these. Semantic search doesn't.
What separates Radar from other semantic tools is the personalization layer. It analyzes your firm's portfolio and thesis and applies a hybrid scoring model — roughly 60% semantic relevance, 40% thesis fit — so results are ranked specifically for your investment criteria. Two firms searching for the same thing see different results because their context is different.
The similar company search is strong for add-on sourcing and competitive mapping. Point it at a known company and Radar returns the closest matches across its database by vector similarity.
For enterprise customers, Radar offers agentic monitoring: it watches for company change signals — funding rounds, new investors, leadership changes, operating status shifts — and sector-level news, reasons across them, and delivers weekly reports that explain what changed and why it matters. It's analysis, not alerts. Enrichment columns let you pull structured data on companies surfaced through search.
Best for: Firms that want true semantic discovery, thesis-driven personalization, and monitoring that reasons about changes. Strongest alternative to Grata for qualitative, nuanced sourcing. Pricing: $100/month per seat (Base), $160/month (Pro). Try it: tryradar.ai/onboarding
PitchBook remains the most comprehensive database for venture-backed companies. Its depth on cap tables, valuations, funding history, and investor relationships is unmatched. If your workflow depends heavily on financial data and you source primarily in the venture-backed market, PitchBook covers ground that Grata doesn't.
The trade-off is cost and search quality. PitchBook starts at several thousand dollars per seat annually, and the search is fundamentally keyword and filter-based. For firms with straightforward, quantitative screening criteria, that works fine. For qualitative or thesis-driven sourcing, the filter interface becomes the constraint.
Best for: Teams that need deep financial data on venture-backed companies and can absorb the cost. Not great for: Qualitative sourcing, bootstrapped company discovery, or firms where per-seat cost is a constraint.
SourceScrub occupies a specific niche: the lower middle market. It covers owner-operated, non-venture-backed businesses — the companies that don't show up in PitchBook or Crunchbase because they've never raised outside capital. For buyout firms sourcing in the $1M–$50M EBITDA range, SourceScrub's coverage in that segment is hard to beat.
It also includes relationship management features for tracking outreach and deal flow. The search itself is keyword and filter-based, so the same limitations apply as PitchBook when it comes to nuanced thesis matching.
Best for: Lower middle market buyout firms sourcing non-venture-backed, owner-operated businesses. Not great for: Venture-backed discovery, semantic search, or firms that source across market segments.
Crunchbase is the budget option. It's significantly cheaper than PitchBook and has decent coverage of venture-backed companies, especially for funding data. If you mainly need to look up funding rounds, investors, and founding dates, Crunchbase handles the basics.
The limitations are real though. Company descriptions and employee data are inconsistent. The search is basic. It works well as a supplementary data source but not as a primary sourcing tool.
Best for: Budget-conscious teams that need funding data on venture-backed companies as a supplement to other tools.
Axial is a different kind of tool entirely — it's a deal marketplace, not a database. Sellers and intermediaries list companies that are actively in a process, and buyers browse or get matched to them. Every company on Axial is already looking to transact.
That's the strength and the limitation. You get inbound deal flow from motivated sellers, which can be efficient. But you can't use Axial for proactive sourcing of companies that aren't in a process yet. If your edge comes from finding companies before they're in play, Axial doesn't help with that.
Best for: Firms that want intermediary deal flow alongside proactive sourcing. Complementary to a sourcing tool, not a replacement.
If your thesis is qualitative and your best deals come from non-obvious companies, the gap between Grata's improved keyword search and true semantic search matters. A tool like Radar that searches on meaning rather than terminology will consistently surface companies that Grata misses.
If you need deep financial data on venture-backed companies, PitchBook's depth is hard to match. Consider running it alongside a semantic tool rather than replacing it entirely.
If you source primarily in the lower middle market among non-venture-backed businesses, SourceScrub's coverage in that segment is the strongest.
If cost is a primary concern, Radar and Crunchbase are both significantly cheaper than PitchBook and Grata, covering different use cases well.
Many firms end up running two tools: one for semantic discovery and proactive sourcing, another for financial data on specific companies once they're in the pipeline.
Radar offers a free trial — run your own searches before committing. Get started here or book a demo to see it on your deal flow.