Aureus Analytics

AUREUS is AI platform that enables Insurers to deliver superior customer experience to their consumers, leading to greater customer retention, loyalty and lifetime value.

Aureus Analytics provides context to the insurance companies about their relations with their customers, and allows for more data driven ways of improving UX.

Aureus Analytics was founded in 2013 by Anurag Shah, Ashish Tanna, & Nitin Purohit. The company is headquartered in Singapore, with offices in Mumbai, India and Hartford, Connecticut.

Aureus specializes in leveraging predictive analytics and machine learning technologies and delivering the actionable insights at the Point of Decision.

Aureus Analytics' CRUX, is an artificial intelligence and machine learning customer experience platform that enables meaningful conversations by analyzing and visualizing the journey of every single consumer to measure customer sentiment, understand the customer better, predict behavior and deliver insights and nudge messages in real time.


The Aureus Early Adopter Program (EAP) is offered by its Product Engineering group to organizations who are interested in having early access to Artificial Intelligence (AI) technology focused on improving the customer experience.


Aureus Analytics is backed by Connecticut Innovations, Multi-Act, Alpine Meridian and others. The company raised $3.1M from a "Series A" financing on Feb 01, 2019. This brings Aureus Analytics' total funding to $5.2M to date.


Aureus Analytics Selected as a Finalist in the DXC Invitational Americas 2019 Conference. The company was also Included in Singapore's Top 10 High Growth Analytics & AI Startups with the Highest Funding. Aureus Analytics Included the List of Key Players for the Global Service Analytics Market for 2018 - 2027.



  • Year founded: 2013
  • Funding Info: $5.2M over 4 Rounds (Latest Funding Type: Series A)
  • Yearly Revenue: NA
  • Employee Size: 11-50
  • Business Valuation: NA
  • City/Town: Singapore
  • State: Central Region
  • Country: Singapore
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