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Make Sense Of the Crowd's Wisdom

Crowd Analytics

Make sense of crowd's wisdom to offer personalized experience to your customers

Predictive Modeling

Model what-if scenarios based on existing data to make predictions on what might happen next

Recommendations & Targeting

Match your products and offerings to the right customers

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Benefit From Crowd's Wisdom

Our natural language processing and generation algorithms help you make sense of large volume of conversations

Features & Benefits

Recognize Trends & Patterns

Find out common trends and patterns from large volume of customer interaction data. Figure out how customers react to your products and services and use it for cross and up sell opportunities

Learn From Interactions

Automatically learn from customer interactions and improve predictions for improved accuracy.

Increase Efficiency

Reduce time and effort taken for most decisions by harvesting the power of machine intelligence.

Suggest Solutions

Read how our products are helping our clients get more done...


Predictive Modeling

Intelligence to predict the future based on past interactions. Our customers call it predictive expenses, predictive ads, predictive content, etc


Content & Customer Classification

Automation solutions for understanding and categorizing content and customers based on existing interaction data.



From matching leads to closers, ads to audience to matching products with buyers, our recommendations algorithm go through user generated content, image analytics as well as behavioral data to deliver a perfect match making

How customers use our Suggest capabilities

Case Studies: Enterprise problems we have solved and questions our platform has answered.


How does this

Deep learning based segmentation of audio clips based on the audio content for discovery and cross sell opportunities


Who would be most interested in this job?

Matching right opportunity with the right prospect based on large volume of past transactions and customer behavior.


What is this user going to expense next?

Learn from a user's past behavior to predict an expense report before it is submitted.

Contact us

San Francisco Bay Area, USA

Suite 360E, 2001 Gateway Place,
San Jose, CA 95110

+1 (844) 446-3773


Level 15 Corporate Centre One
2 Corporate Court
Bundall QLD 4217

+61 403078775

Auckland, New Zealand

42 Moorhouse Street, Morrinsville,
New Zealand, 3300

+64 27 523 7674

Bangalore, India

UMIYA Emporium, 4th floor,
Hosur Main Road, Kaveri Layout, Koramangala

+91 9036001834

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