Kngine builds a natural language-driven question-and-answer app that prompts users to 'ask me anything' and focuses on fact-based queries. The service constantly crawls the web to extract knowledge and meaning rather than indexing pages, and the team compares its approach to Wolfram Alpha while emphasizing more automated data gathering. In independent tests using NIST guidelines the current version answered 54% of questions (versus 26% for Siri and 25% for Evi), and an unreleased version 2.0 answered 71%. The company launched a prototype in 2010 and released a consumer app this year. Kngine has raised $275,000 in funding from investors, including Sawari Ventures, and is prioritizing user acquisition over monetization. Potential revenue paths discussed include in-app advertising and licensing the technology to enterprise search and other partners.

Total raised

$0M

Funding rounds

1

Latest round

Equity

Latest activity

Nov 2012