Grata Alternatives: Private Company Data, Sourcing and AI

1. Executive Summary

The private-company intelligence market that a corporate development team buys into today looks materially different from the one it evaluated eighteen months ago. Grata, the category's most visible AI-first sourcing platform, is now a Datasite company (acquired June 2025 for a reported price above $200M [25][26]); Datasite has since folded Sourcescrub into it (August 2025 [27]) and added European registry data through Valu8 (May 2026 [16]). Cyndx, once a credible AI-search challenger, is winding down [36]. Meanwhile a new class of AI-native workspaces — CorpDev.Ai among them — is competing not on the size of a database but on how much of the sourcing-to-memo workflow an agent can execute end to end.

Headline findings

1. Grata is the safest default for lower-middle-market, founder-owned target discovery — and it is getting stronger, not weaker, under Datasite. Its agentic natural-language search (launched December 2025 [2]), 22M+ company universe with an estimated 10M executive contacts [3], two-way CRM sync with Salesforce, DealCloud, Affinity and HubSpot [10], and the incoming Sourcescrub conference/source-list data give it the deepest sourcing toolkit among the specialists. Reviewers rate it 4.9/5 on G2 across 81 reviews [32]. The trade-offs are equally consistent: record-level accuracy that still requires manual verification (the single most cited weakness), incomplete contacts, historically US-weighted coverage, and an opaque, non-cancellable annual contract [21][32][33].

2. The "which database" question has become a "which workflow" question. Grata, PitchBook, Capital IQ Pro, Dealroom, Crunchbase, Tracxn and CB Insights have all shipped generative-AI research layers and MCP connectors in the last twelve months [2][77][87][93][101][106][114]. Search quality is converging. What now separates vendors is what happens after the search: does the tool hand you a list, or does it enrich, score, track, draft the memo and keep the pipeline current? Data-first incumbents are bolting workflow on; workflow-first entrants such as CorpDev.Ai and Inven are bolting data on. A buyer should decide which side of that line matters more for their team before comparing feature grids.

3. For most corporate development teams the right answer is a two-layer stack, not a single platform. A transaction-grade data layer (PitchBook for sponsor-backed and venture targets; Capital IQ Pro where public-company valuation work dominates) paired with a discovery-and-execution layer (Grata for breadth in the private universe, or an agentic workspace such as CorpDev.Ai or Inven if the team is thin and needs the analysis and deliverables produced, not just the list). Budget-constrained teams doing venture-adjacent screening can start with Crunchbase or Dealroom at a fraction of the cost.

4. CorpDev.Ai is one of the vendors in this set with published, self-serve pricing and a monthly option; Crunchbase also offers these terms ($1,000/month annual-invoiced for one user; $3,000/month for a three-seat team [130]), and the only one positioning the CRM, data room, memo generation and integration planning as included rather than adjacent. Its 70M+ company claim and on-demand profiling are unverified by independent reviewers, it publishes no named customer references [122][132], and its transaction and financial-history depth is not in PitchBook's or Capital IQ's league. It is best understood as a candidate for the execution layer of the stack, or as a low-commitment pilot for a team that has outgrown spreadsheets but cannot justify a $40–70K database contract.

2. What a CorpDev / M&A Team Actually Buys

Vendors sell "deal sourcing platforms." Buyers need something narrower and more specific: a way to move a strategy from an idea in a board paper to a ranked list of companies a banker has not already shown to three competitors, and then to keep that list alive for the eighteen months an in-house team typically spends between first outreach and signing. Framing the purchase around the underlying jobs makes the comparison far more decision-useful than any feature grid.

The seven jobs behind the purchase

Three vendor archetypes

The eleven products in this review sort into three families, and the family matters more than the brand.

Transaction-grade financial databases — PitchBook, S&P Capital IQ Pro. Their value is verified deal history, ownership chains, investor and fund data, and financial statements a valuation can rest on. They are indispensable for sponsor-backed and public targets, expensive per seat, and structurally weak on the two-thirds of the private economy that has never raised institutional capital or filed anything.

Private-market discovery specialists — Grata (with Sourcescrub inside it), Inven, Dealroom, Crunchbase, Tracxn, CB Insights. Their value is breadth: web-derived, registry-derived and source-list-derived coverage of companies that the databases above simply do not have. Financials are frequently estimated. The best of them have added AI search and CRM integration; the best-in-class output is still a list plus a contact.

Agentic workflow platforms — CorpDev.Ai and, increasingly, Inven and CB Insights. Their value is that the search, the enrichment, the scoring, the memo and the pipeline are one continuous process run by an AI analyst under human direction. They win on time-to-deliverable and on price transparency; they are younger, their coverage claims are less independently validated, and they should be diligenced on output quality rather than on database size.

3. Grata in Depth

Grata started in 2016 as a search engine for the US middle market and has become the anchor asset of Datasite's Data & Intelligence business. For a buyer, three facts define the 2026 product: it has the most complete sourcing-specific feature set of any specialist, it is in the middle of absorbing two acquired datasets, and its commercial terms remain enterprise-style and opaque.

Ownership and strategic direction

The strategic read-through is straightforward: Datasite is assembling a private-market intelligence layer to sit upstream of its virtual data room franchise. That is good news for a buyer on product investment (a New York expansion in March 2026 signals continued spend [30]) and a point to negotiate on — a Datasite VDR customer should expect bundling leverage, and a non-Datasite customer should ask how independent Grata's roadmap remains.

Product scope

What the evidence says about strengths

Across 81 G2 reviews (4.9/5) and 9 Capterra reviews (4.3/5), the same four themes recur [32][33]:

• Search quality is the product. Keyword, semantic and thesis-driven discovery is the most-praised capability; a PE reviewer on Capterra reported compressing an 8–10 hour market canvass into 1–2 hours [33].
• Usability is a genuine differentiator against the databases. Reviewers repeatedly describe Grata as faster to learn than PitchBook or Capital IQ, with filters and list-building that an associate can operate without training [32][33].
• It finds companies the databases do not have. The founder-owned, bootstrapped and sub-$50M-revenue universe is where Grata earns its fee; this is the coverage that justifies running it alongside, rather than instead of, a transaction database [6].
• Support and customer success are consistently rated highly (4.7/5 on Capterra for service) [33].

What the evidence says about limitations

• Contacts are incomplete. A meaningful share of companies lack usable executive email or LinkedIn data, which pushes teams to a second contact-data tool [32][33].
• Coverage remains US-weighted. The 2025–2026 international expansion and the Valu8 integration are explicitly designed to fix this; a European buyer should test coverage in their specific countries during the trial rather than rely on the 26-country customer figure [14][15][32].
• Similar Search and result relevance are uneven. Several reviewers describe the lookalike feature as not yet precise enough and note difficulty excluding previously reviewed companies [32][33].
• CRM sync creates housekeeping. Salesforce and HubSpot users report duplicate records, domain mismatches and list-label complications [32].
• The product is mid-integration. Sourcescrub's data and Valu8's European records are being merged into one schema. Expect coverage counts, field definitions and UI to keep moving through 2026–2027; ask the vendor for a dated integration roadmap [17][42].

Pricing and contract reality

Grata does not publish per-seat pricing. Capterra lists a $15,000/year starting point on a single plan with a free trial and no free tier [18]; independent comparisons place typical configurations at $15,000–$30,000+ annually depending on seats, CRM integration, API access and export volumes [58][117]. Grata's terms of service state that Solution Schedules are non-cancellable and fees non-refundable [21], and the standard arrangement is an annual, sales-led contract. Reviewers in search funds and small firms describe it as expensive and wish for month-to-month or credit-based options [32].

Verdict

Grata is the strongest single specialist for a corporate development team whose deal flow comes from the private, non-sponsored middle market and who wants search, contacts and pipeline in one place. It is not a substitute for PitchBook or Capital IQ where deal history and verified financials matter, it does not write the memo, and the buyer accepts a verification burden and an enterprise contract in exchange for the breadth. The Datasite ownership is net positive for product investment and a modest concern for roadmap independence.

4. The Alternatives

4.1 Sourcescrub

Status: Acquired by Datasite from Francisco Partners on 8 August 2025; being integrated into Grata [27][34][35]. Being merged into Grata

Sourcescrub built the most distinctive dataset in the category: roughly 17M private-company profiles connected to some 220,000–290,000 "sources" — conference attendee lists, trade-show rosters, association directories, awards and industry rankings — so that every record carries provenance showing why a company is on the list [39][40][50][120]. Its Essentials / Plus / Professional tiers layer scoring rules, signal tracking (250 tracked companies on Plus, 1,000 on Professional) and CRM enrichment on top; third-party estimates put typical annual cost at $20,000–$60,000 [39][41]. SourcingGPT, launched in 2023, added a generative interface over the same data [53][54]. Users rate it around 4.5/5 on G2 across ~56 reviews and single out native CRM synchronisation and niche-source discovery as strengths, while recurring complaints are stale records, inconsistent data quality by industry and a dated UI [49][57][121].

Where it beat Grata: event-driven, source-traceable discovery in fragmented industrial, healthcare, business-services and consumer niches where a company's only digital footprint is a trade-show exhibitor list [40][56]. Where it lagged: general semantic search, low-web-presence Main Street businesses, and interface polish — in G2's side-by-side, reviewers preferred Grata overall [56][59].

4.2 PitchBook

Best for: venture- and sponsor-backed targets, financing history, investor and fund intelligence, transaction comps. Transaction-grade database

PitchBook (Morningstar) covers nearly 6M companies, 2.7M investments, 570,000 investors and 147,000 funds [76] — a far smaller company universe than Grata's, but one where every record is anchored in a funding round, an ownership change or a transaction. That anchoring is exactly what corporate development needs when the target has raised institutional capital: who owns it, at what valuation, with what liquidation preferences implied, and when the fund's hold period suggests a sale. PitchBook Navigator (November 2025) added a generative research layer with natural-language querying and an OpenAI/ChatGPT integration, joining the existing AI company summaries and VC Exit Predictor [77][78][79].

Pricing is quote-only. Market observations put a single seat at roughly $12,000–$20,000, a three-seat package at $18,000–$32,000, and enterprise contracts above $70,000 annually [74][75].

Verdict: PitchBook is the transaction layer most corporate development teams will keep regardless of what else they buy. It is a poor sole platform for a team whose targets are family-owned industrials or services businesses, which is precisely the gap Grata, Inven and CorpDev.Ai exist to fill.

4.3 S&P Capital IQ Pro

Best for: public-company strategy, valuation, financial statements, ownership chains, precedent transactions. Financial analysis workhorse

Capital IQ Pro advertises 60M+ private-company records, of which roughly 16M carry recent financials — the one of the largest entity universes in this comparison but one where the majority of records are basic registrations rather than researched profiles [83][84][85]. Its strength is the analytical stack around the data: full financial statements, credit data, comparable-company and precedent-transaction screening, ownership trees and the Excel plug-in that most valuation teams already live in. S&P has invested heavily in AI: ChatIQ and Document Intelligence (2024), Document Intelligence 2.0 with multi-document analysis and a Salesforce AgentExchange release (October 2025), expanded private-markets datasets from With Intelligence (July 2026) and an announced Farsight AI add-on for pitch books, CIMs and valuation materials [86][87][88][89].

Pricing is quote-only and modular; typical configurations run $15,000–$25,000 per user annually, with lower effective per-seat rates at high volume [80][81][82].

Verdict: the right anchor for a financially sophisticated corporate development function inside a large listed company, particularly where the strategy team and treasury already hold seats. Pair it with a discovery layer; do not expect it to find the next bootstrapped bolt-on.

4.4 Cyndx

Status: Winding down. Not a viable 2026 purchase

Cyndx's founder has published a notice that the company is dissolving operations, citing financing and market conditions [36]. The product deserves a short obituary because its concept was genuinely differentiated: Finder (33M+ public and private companies with NLP search and dynamic relationship mapping), a "Projected to Raise" algorithm predicting which private companies would seek capital within six months, plus Acquirer, Raiser, Scholar (AI research reports) and Valer (AI valuation) modules in one platform [45][46][60]. Funding totalled roughly $10–10.5M with Rakuten Capital among investors [61][62]; pricing was sales-led at an estimated $30,000–$75,000 annually [44][47]; the G2 review base was small (~20 reviews) and cited a steep learning curve and limited CRM integration [63][64].

Lesson for buyers: the pure-play AI-sourcing segment has consolidated hard. Of the four independent specialists a buyer could shortlist in early 2025 — Grata, Sourcescrub, Cyndx, Inven — only Inven remains independent. Vendor viability and data-continuity terms belong in every 2026 evaluation, and a team currently on Cyndx should migrate its saved searches and lists now.

4.5 Inven

Best for: global market mapping, European registry-backed private-company research, ownership and succession signals, presentation-ready output. Independent AI-native challenger

Helsinki-based Inven is the most credible independent alternative to Grata in 2026. It raised a $12.75M Series A in May 2026 led by Ventech and Vendep Capital, with participation from Risto Siilasmaa, Lifeline Ventures and Joint Effects [37], and states it is used by more than 1,000 teams [66]. Its stated coverage — 28M+ companies, 100M+ legal entities mapped to parent groups, 430M+ contacts, 3M+ transactions and 100M+ financial documents analysed, with registry-based financials across 18 European markets including UK Companies House — is the broadest claimed among the specialists and, uniquely, is anchored in filed accounts rather than web estimates for European targets [38][48].

Functionally Inven sits between Grata and the agentic platforms. Natural-language search, lookalikes and market mapping match Grata's core; ownership confirmation at source, intent-to-sell signals (generational handovers, leadership changes, capital events) and batch analysis across large lists go further; and "Inven Skills" produce review-ready PowerPoint longlists and company profiles, which no database in this set does natively [38]. Integrations cover CRM exports, Excel, a Chrome extension, an API and MCP access from ChatGPT and Claude [65]. Inven states customer data is not used for model training [38].

Verdict: for a European or globally oriented corporate development team, Inven is a serious head-to-head alternative to Grata and in some geographies the better dataset. Independence is both its attraction (no Datasite bundling agenda) and its risk (it is the last independent specialist standing; a well-funded Series A helps, but buyers should still negotiate data-portability terms).

4.6 Dealroom, Crunchbase, Tracxn and CB Insights

These four platforms are not Grata substitutes for founder-owned middle-market sourcing, but each earns a place in specific corporate development stacks — and three of them cost a fraction of the specialists.

Where these fit against Grata: Dealroom and Tracxn replace Grata only for a team whose targets are technology startups in Europe or Asia respectively. Crunchbase is the right answer for a one-person team monitoring venture-backed adjacencies on a sub-$1,000 budget. CB Insights is complementary — it answers "which market and why" better than any sourcing tool, then hands off to Grata, PitchBook or an agentic platform for the target work.

4.7 CorpDev.Ai

Best for: thin in-house teams that need the market map, the target screen, the memo and the pipeline produced — not just the data to produce them. Agentic workflow platform Vendor of this document

CorpDev.Ai is a Boston- and San Francisco-based company founded by Kal Kilpi (CEO; previously co-founder of Midaxo and founder of Vastuu Group) and Atul Tiwary (formerly VP M&A at Barracuda Networks, VP Investment Banking at RBC, senior director of corporate development at Fortinet) [123]. It describes itself as an "Integrated CorpDev Environment": a specialised AI analyst agent, a collaborative document editor ("Visual Workbook"), an AI-native data room, a zero-entry pipeline CRM and digital-twin models of targets and markets, sold to in-house corporate development teams either as self-service software or with managed services alongside [122][125].

How it differs from a database

The architectural bet is different from Grata's. Grata maintains a curated database and lets you search it; CorpDev.Ai runs an LLM "metasearch" across a claimed 70M+ pre-indexed companies and, when a company is not in the index, researches it on demand from public sources and builds a cited profile [126]. The output of a search is therefore not a list of records but a set of enriched, fit-scored profiles that flow directly into a pipeline card, a market map or a memo draft. The same agent reads the connected mailbox and calendar (Microsoft 365 or Google Workspace) to log activity and enrich targets without manual entry [127][129], reads uploaded data-room documents through vision-based ingestion with page-level citations [128], and drafts investment memos, board decks, market maps, CIMs and valuation workbooks exportable to Word, PowerPoint, PDF and Excel [122]. Data is stored in open formats (Markdown, JSON, YAML) and reachable over REST and MCP, which reduces lock-in relative to closed databases [128].

Pricing and commercial terms

CorpDev.Ai publishes self-serve pricing with a monthly option, as does Crunchbase. AI Pro is $1,000/month on annual invoice ($1,200 on card) for one user with 12,000 search credits a year; AI Pro Team is $3,000/month ($3,600 on card) for three users with 36,000 credits, collaboration, admin controls and a dedicated customer success manager; Enterprise is custom with unlimited members, SSO, a solutions architect and managed services [130]. A 14-day, 300-credit trial is available, prioritised for in-house corporate development staff and automatic for employees of companies above $1B in revenue [131]. At list, a three-seat team costs $36,000 a year — above the cited $18,000–$32,000 range for a three-seat PitchBook package and below a typical Grata-plus-CRM configuration, with the CRM, data room and document generation included rather than adjacent.

An objective assessment

Verdict: CorpDev.Ai is a credible candidate for the execution layer of a corporate development stack — and, at $1,000 a month, a paid pilot whose cost should be weighed against the team’s budget for a team currently running sourcing in spreadsheets. It is not yet a proven replacement for Grata's curated middle-market database, and it is not a substitute for a transaction database. A buyer should run it against Grata on the same thesis for two weeks and judge on target quality and hours saved to the first-look memo.

5. Head-to-Head Comparison

The matrix below scores each platform on the seven buyer jobs from Section 2 plus three commercial dimensions. Scores are the author's judgement on a 1–5 scale from the evidence cited in Sections 3–4: 5 = best-in-class for a corporate development buyer, 3 = adequate, 1 = not designed for the job. Sourcescrub is omitted as a standalone option; Cyndx is omitted as no longer purchasable. Where a score rests on vendor claims rather than independent evidence it is flagged in the Basis column.

Basis notes for the matrix. Grata's discovery and AI-search scores rest on independent reviews [32][33] and the Agentic Search launch [2]; its European score reflects the Valu8 integration being in progress [15][16]. PitchBook and Capital IQ scores rest on their published data descriptions [76][83] and third-party comparisons [74][80]. Inven's European score rests on its stated 18-market registry coverage [48]; its discovery score is a vendor claim partially corroborated by small review samples [67][68]. CorpDev.Ai's discovery, market-mapping and deliverable scores rest on vendor product descriptions [122][126][127] and are not yet corroborated by independent reviews — a buyer should treat them as hypotheses to test in a trial. CB Insights' strategy score rests on its 2025 product releases [114]. Dealroom, Crunchbase and Tracxn scores rest on published coverage and pricing [90][95][104].

Reading the profiles

The radar makes the structural point visible. Grata and PitchBook are near-mirror images: Grata dominates where PitchBook is weakest (founder-owned discovery, AI screening, pipeline) and vice versa (verified financials and comps). That complementarity is why the two are so often bought together and why neither vendor's "replace the other" pitch holds up.

CorpDev.Ai's profile is the widest but the least independently validated. It scores highest on the workflow dimensions — market mapping, screening, pipeline, deliverables, pricing — and matches Grata on AI search by design. Its two structural gaps are the same as Grata's (verified financials) plus one Grata does not have (an independent review record). If its coverage and output quality hold up in a trial, it is the only single platform in the set that covers the full loop; if they do not, it remains a strong execution layer over someone else's data.

Inven is the balanced middle, strong in Europe and on ownership signals, competent everywhere else, exceptional nowhere except registry-backed European financials.

Data coverage — like for like

AI capability — what is actually shipping

The convergence is unmistakable: every vendor now offers natural-language querying and an MCP endpoint. The practical differentiation has moved to two questions — whose data the agent is reasoning over, and how far the agent carries the work after the search. On the first, Grata, PitchBook and Capital IQ hold the deepest curated assets. On the second, CorpDev.Ai is built around the answer and the others are adding it.

6. Total Cost of Ownership and Pricing Reality

List price is the least reliable number in this market. Only three vendors publish prices (CorpDev.Ai, Dealroom, Crunchbase); the rest are sales-led, and observed contract values vary by a factor of two or more for the same nominal seat count depending on modules, exports, API access and negotiating skill. The table below is therefore built on a consistent scenario: a three-person corporate development team, annual contract, standard CRM integration, no API or bulk data licence.

Basis for the cost ranges. Crunchbase: published $588/seat (Pro annual) to $2,388/seat (Business) [95][96]. Tracxn: management commentary of $3,000–$5,000 per user [102]. Dealroom: published €12,600 (Premium, three seats) to €17,000 (Premium Plus), converted at roughly 1.08 USD/EUR [90]. CorpDev.Ai: published $3,000/month annual-invoiced to $3,600/month on card [130]. PitchBook: observed three-seat packages [74]. Grata: Capterra $15,000 start to third-party $30,000+ configurations, extended to $45,000 for CRM and contact modules [18][58][117]. Inven: no public price; range inferred from reviewer "expensive" commentary and specialist-category norms — treat as an estimate [48][70]. Sourcescrub: historical third-party estimates [39]. Capital IQ Pro: $15,000–$25,000 per user [80][81]. CB Insights: observed entry and median contract values [109][110].

The costs that do not appear on the quote

Value per dollar, by team type

7. Buyer's Decision Framework

The comparison reduces to four questions a corporate development lead can answer in an afternoon. The answers point to a stack, not a product.

Question 1 — Where do your targets actually come from?

Pull the last three years of pipeline and classify every target as (a) sponsor- or VC-backed, (b) founder-owned or bootstrapped, (c) public or a carve-out from a public parent. Most corporate development teams discover that the mix is very different from what their tooling assumes: a team holding two PitchBook seats and no discovery specialist is may source a substantial share of its live pipeline from category (b), where PitchBook’s coverage is weaker; measure that share from your own pipeline rather than assuming a universal 60–70%. The category with the largest share of proprietary deals — the ones not shown to competitors — is the one to over-invest in.

Question 2 — Is the bottleneck finding targets, or producing the work about them?

Grata, Inven and the databases solve a discovery bottleneck: not enough good names. CorpDev.Ai and, increasingly, CB Insights and Inven solve a production bottleneck: names exist, but the market map, the screen, the first-look memo and the pipeline update each take a week an analyst does not have. A three-person team preparing quarterly strategy reviews and IC papers is usually production-constrained; a ten-person function with dedicated associates is usually discovery-constrained. Buying a discovery tool for a production problem — the most common mistake in this category — produces longer lists and no more deals.

Question 3 — What does verified mean to your board?

If a first-look memo needs an audited revenue figure and a precedent-transaction multiple before it reaches the CFO, a transaction-grade database is non-negotiable and the discovery or workflow layer is additive. If the first gate is a strategic-fit conversation and the numbers come later from the target, an estimated-financials platform is sufficient for stage one and the database seat can be shared or deferred.

Question 4 — How much commercial risk will you carry to learn?

Every sales-led vendor in this set will lock a team into twelve months on the strength of a two-week demo. The rational sequence is to pilot on the flexible terms first — CorpDev.Ai's monthly plan and trial, Crunchbase, Dealroom's published packages, Grata's free trial — establish what the team actually uses, and commit annual money only to the tool that changed the pipeline.

Scenario recommendations

The trial protocol

Whatever the shortlist, run the same evaluation for every vendor, because vendors optimise demos for their strengths:

1. Fifty known targets. Load the last fifty companies the team seriously evaluated. Record: found / not found; ownership correct; revenue estimate within 25%; a usable executive contact present.
2. One blind thesis. Give each platform the same one-paragraph acquisition thesis. Compare the top fifty results on relevance and on how many were unknown to the team.
3. One deliverable. Ask each tool (or its output plus an analyst) to produce a first-look memo on the same target. Time it. Grade it as the IC would.
4. One week of pipeline. Run the live pipeline in each tool's CRM (or synced CRM) for a week. Count manual entries.
5. The contract. Obtain the actual Solution Schedule or order form, not the pricing page, and read the cancellation, renewal, seat-reduction and data-export clauses before the trial ends.

A vendor that scores well on steps 1–2 is a discovery tool; one that scores well on 3–4 is a workflow tool; one that scores well on all five at a price the team can defend is the answer.

8. Key Facts & Sources

The load-bearing figures in this comparison, each with its source and as-of date. All coverage and pricing figures are vendor- or third-party-reported and were not independently audited; "vendor" in the Basis column means the vendor's own published claim.