Vengo AI
Enterprise generative AI search and sales agents grounded in approved company content, with citations, lead capture, and usage analytics.
About Vengo AI
Vengo AI turns approved company knowledge into conversational search and task-oriented agents for enterprise teams. It indexes websites, PDFs, policies, manuals, support content, and internal documents, then uses retrieval-augmented generation to answer questions with citations and downloadable sources. Search can be deployed on customer-facing sites or authenticated employee portals. On the same knowledge layer, AI sales agents engage visitors, qualify intent, capture contact details, and route leads with conversation context. Analytics reveal common questions, low-confidence queries, knowledge gaps, repeated support topics, and subjects associated with lead intent. Each deployment is configured around the organization’s content, branding, workflows, integrations, and scale, so adoption begins with an enterprise sales conversation rather than self-service checkout. The platform fits organizations whose employees or customers need reliable answers across scattered, frequently changing documents.
Best for
Best use cases
Deploy cited search on a public website or customer portal
Give employees an internal assistant for policies, SOPs, and onboarding
Capture and route sales leads from knowledge-grounded conversations
Compare before choosing
Choose Vengo AI when citations to approved company content matter more than open-web answers
Choose it when search, sales qualification, and analytics should share one knowledge layer
Compare deployment scope and integration requirements through the enterprise demo process
Features
Cited enterprise search
Search approved websites, PDFs, policies, and knowledge bases in natural language, with citations and downloadable sources.
Sales qualification and routing
Answer visitor questions, capture contact details, qualify intent, and route leads with conversation context.
Support and knowledge analytics
Track frequent questions, low-confidence responses, knowledge gaps, repeat support topics, and conversion intent.
Pros
- Cited answers make it easier to verify which approved document supports a response
- One knowledge layer can support customer search, internal assistants, sales qualification, and support deflection
- Analytics expose repeated questions and low-confidence gaps that teams can use to prioritize documentation updates
Cons
- Custom enterprise pricing requires a sales conversation before buyers can estimate total cost
- Deployment must be configured around content, branding, workflows, integrations, and scale, adding implementation work
- Organizations need to maintain approved source content because answer quality depends on what has been indexed
Pricing Plans
Custom Enterprise
- Generative AI search across approved content
- AI sales agents and lead capture
- Deployment configuration for content, branding, workflows, integrations, and scale
* Pricing information is for reference only. Please refer to the latest announcement on Vengo AI's official website.