Inven

Name: Inven
Brand: Inven

AI Native

Spot every opportunity

Est 2022|Valuation $36.8M|Raised $14.4M|17 Ref Customers

LinkedIn 11K|Web traffic 101K|FTEs 105|HQ Helsinki, FI181, FI

MarketsPrivate Markets Intelligence & Deal Sourcing Data

01Competitive Landscape

Narrative analysis

Inven vs PitchBook - Inven is presented by the vendor as oriented toward broader discovery with AI-based workflows. - PitchBook is generally stronger for validated transactions, investment/fund data, and standardized financials; several reviewers cited PitchBook’s advantage in financial rigor while noting that PitchBook may miss some obscure LMM targets. Inven vs SourceScrub / Grata (deal sourcing specialists) - These are direct alternatives considered in buyer discussions. Vendor-authored comparison pages present Inven’s search accuracy and coverage from the vendor perspective; such comparisons should be validated in vendor diligence. Inven vs Dealroom.co - Dealroom.co is used for startup/VC ecosystem research and publishes pricing; it is more focused on venture ecosystems, while Inven’s positioning is more oriented to M&A origination and buyer/seller mapping in private markets.

Market adoption signals

Public review sites show generally positive sentiment and indicate usage and user satisfaction, though review collection practices and sample size can affect interpretation.
Vendor growth claims across multiple pages indicate traction but should be validated during diligence.

	Inven	PitchBook	Dealroom.co (startup ecosystem intelligence)
Starting Price	Not publicly listed; quote-based; contact credits add-on	Not publicly listed; request pricing	Premium annual pricing with multi-seat tiers
Best For	AI-driven discovery of private companies, list-building, LMM/MM origination	Deep private capital markets data: transactions, valuations, investors, funds	Tech/startup ecosystem research, European coverage, exports and CRM/API on higher tiers
Key Strength	Natural language and example-based search; broad company discovery; positive UX/support feedback in reviews	Analyst-curated accuracy; strong deal/transaction context; common finance-industry standard	Transparent pricing options on public pages; ecosystem mapping; exports and API options
Key Weakness	Data accuracy gaps in financials/descriptions; requires manual filtering; pricing opacity	Costly for some smaller teams; discovery of obscure LMM firms may lag; learning curve	Not specialized for LMM buyout origination; data bias toward venture/startup ecosystems

01Competitive Landscape

Narrative analysis

Inven vs PitchBook

Inven is presented by the vendor as oriented toward broader discovery with AI-based workflows.
PitchBook is generally stronger for validated transactions, investment/fund data, and standardized financials; several reviewers cited PitchBook’s advantage in financial rigor while noting that PitchBook may miss some obscure LMM targets.

Inven vs SourceScrub / Grata (deal sourcing specialists)

These are direct alternatives considered in buyer discussions. Vendor-authored comparison pages present Inven’s search accuracy and coverage from the vendor perspective; such comparisons should be validated in vendor diligence.

Inven vs Dealroom.co

Dealroom.co is used for startup/VC ecosystem research and publishes pricing; it is more focused on venture ecosystems, while Inven’s positioning is more oriented to M&A origination and buyer/seller mapping in private markets.

Market adoption signals

Public review sites show generally positive sentiment and indicate usage and user satisfaction, though review collection practices and sample size can affect interpretation.
Vendor growth claims across multiple pages indicate traction but should be validated during diligence.

	Inven	PitchBook	Dealroom.co (startup ecosystem intelligence)
Starting Price	Not publicly listed; quote-based; contact credits add-on	Not publicly listed; request pricing	Premium annual pricing with multi-seat tiers
Best For	AI-driven discovery of private companies, list-building, LMM/MM origination	Deep private capital markets data: transactions, valuations, investors, funds	Tech/startup ecosystem research, European coverage, exports and CRM/API on higher tiers
Key Strength	Natural language and example-based search; broad company discovery; positive UX/support feedback in reviews	Analyst-curated accuracy; strong deal/transaction context; common finance-industry standard	Transparent pricing options on public pages; ecosystem mapping; exports and API options
Key Weakness	Data accuracy gaps in financials/descriptions; requires manual filtering; pricing opacity	Costly for some smaller teams; discovery of obscure LMM firms may lag; learning curve	Not specialized for LMM buyout origination; data bias toward venture/startup ecosystems