Vengo AI

Vengo AI is enterprise infrastructure for generative AI search and AI agents. It takes the knowledge your company already has, in websites, PDFs, policies, manuals, CRMs and internal documents, and makes it searchable and actionable. Answers come with citations and are based on your approved content rather than the public internet.

Generative AI search

Vengo's search lets staff or customers ask questions in plain language and get a written answer drawn from verified sources. The demo on the site shows a question about a policy update answered from six sources, with a confidence score, links to the exact pages in the source PDF and actions such as summarising onboarding documents or comparing a new policy with an old one. Knowledge sources can include employee handbooks, HR policies, support documents, internal wikis and PDFs, and the index syncs regularly.

AI sales agents

Conversational agents can be embedded on your website to answer visitor questions, capture leads and route opportunities to the right team. Because they are trained on your content, the site says they avoid generic chatbot answers.

Deployment

Vengo highlights private deployment, citation-backed answers, website embedding, private retrieval-augmented generation and analytics on what people ask. It is sold through enterprise demos.

Who it is for

It suits organisations with large document collections, such as HR, compliance, support and sales teams, where people waste time searching for the right policy or answer. It also suits companies that want a website assistant limited to approved information.

Things to consider

AI answers are only as good as the documents behind them, so outdated or conflicting files will produce confusing answers. Clean up and assign owners to key documents first. Check how access permissions work, so staff only see documents they are allowed to read. Confidence scores help but do not guarantee accuracy, so keep citations visible and encourage people to check the source for important decisions. Ask about data storage, security certifications and pricing during the demo.

A pilot with one department and a limited set of documents is a sensible way to measure answer quality. Track which questions get poor answers, then fix or add the documents behind them.