Lopus AI

Name: Lopus AI
Brand: Lopus AI

AI Native

Analytics for the rest of us

Est 2024|Raised $500K

LinkedIn 487|Web traffic 1K|FTEs 8|HQ San Francisco, California, US

MarketsBusiness Intelligence (BI) and Analytics NL & Conversational Analytics

01Competitive Landscape

Narrative analysis: where alternatives excel

Clay is transparent on packaging and validated within GTM ops communities; it may be preferable for teams primarily focused on enrichment and outbound automation rather than unified analytics.
Lusha focuses on contact data access and may be more directly aligned for organizations that primarily need contacts rather than intent signals or analytics unification.
Larger data vendors (e.g., ZoomInfo) provide scale and breadth but involve higher costs and procurement complexity; they may be better suited to large organizations that need an extensive database.

- Clay is transparent on packaging and validated within GTM ops communities; it may be preferable for teams primarily focused on enrichment and outbound automation rather than unified analytics. - Lusha focuses on contact data access and may be more directly aligned for organizations that primarily need contacts rather than intent signals or analytics unification. - Larger data vendors (e.g., ZoomInfo) provide scale and breadth but involve higher costs and procurement complexity; they may be better suited to large organizations that need an extensive database.

Market adoption / share

No credible market-share data for Lopus AI was identified in public sources.

	Lopus AI	Clay	Lusha
Starting Price	Probe: not public (demo). Beacon: reported in third-party directories with indicative pricing (unverified).	Free tier; paid plans start at a disclosed entry-level price.	Free plan with credits; paid plans are credit-based and vary by package.
Best Fit	Teams seeking a combined GTM analytics surface with natural language Q&A, monitoring, and social intent lead discovery (vendor positioning).	Teams needing data enrichment and outbound workflow automation across many data sources.	Sales teams focused on verified contact data delivered via credits, browser extension, and CRM integrations.
Key Strength	Vendor positions the product as unifying structured and unstructured GTM data and providing explainability features (vendor claim).	Broad connector ecosystem and transparent packaging.	Published credit mechanics and straightforward contact access model.
Key Weakness	Limited public proof: few trustworthy reviews and unclear compliance artifacts; primary product pricing is demo-led.	Costs can increase at scale and some users report credit complexity.	Credit-based model can be limiting for heavy phone-based outreach; data accuracy varies by region and vertical.