How iKVA enables digital transformation with AI insights

Read the article on AI Magazine Jon Horden, CEO and Founder of iKVA outlines how his company supports its customers’ digital transformation journey through data, analytics and AI insights Can you tell me about iKVA? iKVA is an early-stage company creating AI-enabled knowledge management software solutions relevant for organisations in multiple sectors. The company was founded out […]
iKVA Shortlisted for National Technology Awards

We’re delighted to announce that we have been shortlisted for a prestigious award. iKVA have been shortlisted to win ‘Startup Tech Company of the Year’ at the National Technology Awards 2022. “It’s a great privilege to be shortlisted for this award and a testament to the dedication of our fantastic team. I’d also like to […]
We’re Hiring! Software engineers come join our amazing team

We’re an early-stage AI search technology company creating knowledge management solutions for enterprise. Spun out from Cambridge University, iKVA’s unique technology has been proven through proofs of concept with large organisations. Having secured funding and clients, we are now building the team to fully commercialise our products. We’re currently looking to hire: Data Engineer Infrastructure […]
iKVA TEAM SPOTLIGHT: CHRIS MARTIN

Name: Chris Martin Title: Head of Engineering Tell us about iKVA: We’re an early days AI knowledge management company born out of a Cambridge University research project – which is really exciting actually – to be in at the ground level. We’ve got a really dynamic and innovative team, and although it is challenging […]
iKVA TEAM SPOTLIGHT: IAN FIRTH

Name: Ian Firth Job Title: Chief Product Officer Tell us about iKVA? iKVA is an innovative company breaking the mould around the way people use information. Providing new ways to ensure that data is discovered, insights are gained and then used. iKVA provides products that can be integrated into workflows, pushing data to people, supporting […]
‘OCaml Scientific Computing’ by Liang Wang (iKVA’s CSO) – Out Now

Watch our interview with iKVA’s CSO, Dr Liang Wang on the publication of his new book OCaml Scientific Computing Read the transcript here Interview with Dr Liang Wang, Author of OCaml Scientific Computing Get your copy here: https://amzn.to/3sKDIqB Kate 0:06 Today we’re talking to Dr. Liang Wang iKVAs CSO about his new […]
New demos released to try out iKVA’s technology

iKVA has launched three exciting ways for users to try out its innovative solutions for free. These offer access to the iKVA’s Intelligent Insight Platform, providing users with the most relevant information from public data sources to contextual queries using documents and URL’s rather than keywords. Chrome browser extension The iKVA Chrome Extension enables insights about the […]
Mott MacDonald launches industry first Venture Capital AI tool in partnership with iKVA

Mott MacDonald Ventures, the strategic corporate venture arm of Mott MacDonald has launched the infrastructure industry’s first AI-based web-tool which enables entrepreneurs to instantly assess the relevance of their business for future investment. As well as indicating the alignment of a company to the Mott MacDonald Ventures ecosystem, the tool also considers crucial industry targets […]
iKVA Product Testing Sessions: Call for undergrads, postgrads, postdocs & researchers

iKVA, innovative AI technology start-up, is inviting undergraduates, postgraduates, postdocs and researchers to participate in product testing sessions at the company’s Cambridge office. iKVA’s product testing sessions are aimed at students from various academic majors who would like to find out more about iKVA’s innovative technology, test it and provide feedback as end users on […]
The Taxonomy is Dead Webinar

We’re delighted to announce a new free webinar – ‘The Taxonomy is Dead: Data Discovery. Re-Envisioned’ – taking place on Wednesday, 22 September 2021 at 4pm. Join us for an engaging discussion addressing emerging technologies and new approaches to data discovery. Knowledge management must mean more than managing ontologies and taxonomies to structure document collections […]