ThoughtSpot to double headcount in its Bangalore office by 2019 end to capitalize on global demand for transformative analytics capabilities
ThoughtSpot, the leader in search and AI-driven analytics for the enterprise, has announced its plan to expand its business operations in India in 2019.
As part of these plans, ThoughtSpot will double headcount in its Bangalore office to over 100 employees to innovate the company’s artificial intelligence and machine learning capabilities. ThoughtSpot will also grow its world class ecosystem to include new partners with specific knowledge of the Indian market.
“ThoughtSpot continues to innovate at a breakneck pace to redefine what’s possible with data, and by expanding our operations in India, we’ll be able to tap into the exceptional talent in the region,” said Ajeet Singh, co-founder and Executive Chairman, ThoughtSpot.
Previous year ThoughtSpot experienced impressive growth raising $145M in new funding and record sales. In 2019, ThoughtSpot hopes to continue this growth, and expand sales operations in the region, including partnering with large Indian system integrators, to help Indian organizations in verticals like retail, BFSI, government, and healthcare turn big data into meaningful insights.
“As we continue to build ThoughtSpot into a lasting, sustainable business, a strong alliance of partners will be essential if we truly want to help solve the data challenges facing global enterprises,” asserted Singh.
Business people can use ThoughtSpot’s simple search-driven analytics to answer the questions they know to ask, while its AI-driven analytics engine, SpotIQ, automatically answers thousands of questions a businessperson would care about but wouldn’t even know to ask, the company said in a statement.
Data professionals, freed from generating innumerable reports and tweaking countless charts, can focus on the analytics initiatives critical to their organization’s long-term success. Unlike other artificial intelligence solutions, SpotIQ is completely transparent, meaning no decisions or analyses are conducted in a black box, fostering trust and driving adoption by end users, it added.
