Building fixed income portfolios is a painful process for all involved as fragmented data makes it difficult for portfolio managers and advisors to compile meaningful advice for each and every client. Even the best attempts at creating individualised portfolios for clients are often stumped by the limited tools available and yield sub-optimal results. BondIT was founded in 2012 to tackle this problem. Their team expertise spans across fixed income, data science, and machine learning. The team combines market experience from fixed income experts with technical know-how from researchers and developers who have come together to find solutions for the bond market. Now, using BondIT's sanitized data, powerful machine-learning algorithms, and an intuitive user interface, they deliver the world of fixed income on a silver platter all in a matter of seconds.
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Building fixed income portfolios is a painful process for all involved as fragmented data makes it difficult for portfolio managers and advisors to compile meaningful advice for each and every client. Even the best attempts at creating individualised portfolios for clients are often stumped by the limited tools available and yield sub-optimal results. BondIT was founded in 2012 to tackle this problem. Their team expertise spans across fixed income, data science, and machine learning. The team combines market experience from fixed income experts with technical know-how from researchers and developers who have come together to find solutions for the bond market. Now, using BondIT's sanitized data, powerful machine-learning algorithms, and an intuitive user interface, they deliver the world of fixed income on a silver platter all in a matter of seconds.
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