Evolv AI

Name: Evolv AI
Brand: Evolv AI

Evolv AI is a growth-driving platform that automates ideation, experimentation and real-time learning.

Est 2019|Valuation $30.7M|Raised $23.8M|12 Ref Customers

LinkedIn 60K|Web traffic 5K|FTEs 34|HQ Waltham, Massachusetts, US

MarketsConversion Rate Optimization (CRO) & A/B Testing A/B Testing & Experimentation

01Competitive Landscape

Narrative analysis

Evolv AI positions itself as an automated adaptive experimentation option, with capabilities aimed at supporting higher variant throughput and machine-learning assisted variant selection.
VWO provides a traditional experimentation and analytics toolkit with a clearer public pricing model, which may appeal to buyers seeking predictable packaging and documentation.
Optimizely is commonly selected by large enterprises for its ecosystem and governance tooling, although buyers frequently cite pricing and packaging complexity.

- Evolv AI positions itself as an automated adaptive experimentation option, with capabilities aimed at supporting higher variant throughput and machine-learning assisted variant selection. - VWO provides a traditional experimentation and analytics toolkit with a clearer public pricing model, which may appeal to buyers seeking predictable packaging and documentation. - Optimizely is commonly selected by large enterprises for its ecosystem and governance tooling, although buyers frequently cite pricing and packaging complexity.

Competitive perspective evidence (examples)

Aggregated review metrics on third-party review platforms indicate that Evolv AI scores well on support quality and certain personalization capabilities relative to some competitors. These are aggregated user-review metrics and should not be treated as controlled benchmarks.

	Evolv AI	VWO Testing	Optimizely Web Experimentation
Starting Price	Not clearly public; directory listings suggest enterprise-tier pricing for paid plans	Public pricing page (varies by plan; enterprise via demo)	Custom/quote-based; common estimates place entry for enterprise programs at enterprise-tier pricing
Typical Use Case	Automated adaptive experimentation and variant exploration for teams aiming to increase test throughput	Traditional A/B and multivariate testing with behavioral analytics modules	Enterprise experimentation programs with broad ecosystem and governance needs
Key Strength	Positive review signals for vendor support; emphasis on automated, adaptive experimentation	Clearer public pricing and established documentation/community	Enterprise maturity, broad integrations, and scalability
Key Weakness	Limited public detail on security controls and pricing; learning curve; requires operational changes	Can become complex across modules; costs increase with scale	Pricing opacity and potentially higher total cost of ownership