Valuer.ai

Name: Valuer.ai
Brand: Valuer.ai
Rating: 5 (1 reviews)

We help business leaders harness the power of artificial intelligence to unlock growth, optimize operations, and drive i

Est 2017|Valuation $1.2M|Raised $25.4M|26 Ref Customers

LinkedIn 5K|Web traffic 5K|FTEs 58|HQ Copenhagen, Capital Region, DK

MarketsPrivate Markets Intelligence & Deal Sourcing Data

01Competitive Landscape

Competitive Landscape

| Aspect | Valuer.ai | CB Insights | Crunchbase | |---|---|---|---| | Starting Price | Not publicly listed (sales/consultation-led) | Sales-led (enterprise focus) | Published tiered pricing available from the vendor; specific plan costs vary | | Primary Buyer Use Cases | Enterprise teams seeking AI-enabled innovation discovery and/or custom AI automation projects; combined assisted research and services | Deal sourcing, market intelligence, predictive signals for strategy and investment teams | Broad company and funding database for prospecting and research workflows | | Key Strength | AI/NLP-based approaches to discovery and an option to combine automated discovery with manual research to address data gaps | Large-scale signals and monitoring with established market presence | Wide coverage and accessibility for common workflows and data exports | | Key Weakness | Limited transparent pricing and limited accessible, high-confidence third-party reviews; security/compliance details not clearly published | Perceived as expensive for some buyers | Data completeness and accuracy can vary by segment; limitations reported anecdotally | - Narrative analysis - Positioning difference (platform vs services): Public materials frame Valuer both as a platform subscription with AI-enabled scouting and as a services-led AI engineering partner. Competitors such as CB Insights and Crunchbase are more consistently positioned as data platforms/SaaS products. - Feature comparison (high level): Vendor materials indicate strengths in natural-language discovery and a hybrid model that incorporates manual research to supplement automated data; competitors may offer broader standardized datasets, more integrations, and more widely understood data coverage. - Pricing comparison: Valuer and some competitors use sales-led pricing models; other providers offer more transparent tiered pricing aimed at smaller teams. - Market share and adoption trends: There is insufficient independent data in the reviewed materials to make credible market share claims.

01Competitive Landscape

Competitive Landscape

Aspect	Valuer.ai	CB Insights	Crunchbase
Starting Price	Not publicly listed (sales/consultation-led)	Sales-led (enterprise focus)	Published tiered pricing available from the vendor; specific plan costs vary
Primary Buyer Use Cases	Enterprise teams seeking AI-enabled innovation discovery and/or custom AI automation projects; combined assisted research and services	Deal sourcing, market intelligence, predictive signals for strategy and investment teams	Broad company and funding database for prospecting and research workflows
Key Strength	AI/NLP-based approaches to discovery and an option to combine automated discovery with manual research to address data gaps	Large-scale signals and monitoring with established market presence	Wide coverage and accessibility for common workflows and data exports
Key Weakness	Limited transparent pricing and limited accessible, high-confidence third-party reviews; security/compliance details not clearly published	Perceived as expensive for some buyers	Data completeness and accuracy can vary by segment; limitations reported anecdotally

Narrative analysis
- Positioning difference (platform vs services): Public materials frame Valuer both as a platform subscription with AI-enabled scouting and as a services-led AI engineering partner. Competitors such as CB Insights and Crunchbase are more consistently positioned as data platforms/SaaS products.
- Feature comparison (high level): Vendor materials indicate strengths in natural-language discovery and a hybrid model that incorporates manual research to supplement automated data; competitors may offer broader standardized datasets, more integrations, and more widely understood data coverage.
- Pricing comparison: Valuer and some competitors use sales-led pricing models; other providers offer more transparent tiered pricing aimed at smaller teams.
- Market share and adoption trends: There is insufficient independent data in the reviewed materials to make credible market share claims.