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CCube Invests In Simbus Technologies, India

  • CCube Angels, a Singapore based angel investors community, has acquired a significant minority stake in Bangalore based Simbus Technologies

Singapore, November 17, 2011:
Simbus Technologies Private Limited, offers IT solutions and services for supply chain collaboration and execution using the BPMS technology to various industries. Simbus was founded by Krishna Kumar, an IIM Ahmedabad alumnus, with extensive leadership experience in the Apparel industry with blue chip companies. The two other co-founders are Balaji Thomas and Senthil Natarajan. In a short span of 12 months, Simbus counts in its portfolio some marquee customers who are in the Fortune 500© list and also are amongst the top companies in India.

Krishna Kumar, the founder and CEO said "SIMBUS is emerging as the leading solutions provider in the BPM space from India. We were looking for an investor who could add value to our business and we found CCube as a partner with a good strategic fit. The whole process of fundraising was smooth and very quick. The funding will help us scale our solutions business rapidly with new verticals and also to launch our product offerings in Supply Chain, Sourcing and distribution"

"We found in Simbus a dedicated team of entrepreneurs with very satisfied clients. We are sure that they will do well over time", Atim Kabra, one of the member angels, commented on the investment.

About CCube CCube is an angel community that has banded together to provide the three Cs - Counseling, Connections and Capital to early stage companies. CCube currently has over 65 members, mainly from the Capital Markets and Financial Services sector, with investing experience across various asset classes. The CCube team members have funded various private transactions in their individual capacities also. They are looking to invest in India and the ASEAN region where most of them are based. The C Cube team, with their vast experience in this region, aims to differentiate itself from early stage funds that have focus on specific geographies. It believes that a lot of models can reach scale beyond their niche geographies.

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