Private Equity Market and it’s 179 inefficiencies
Private Equity Market and it’s 179 inefficiencies
At present, investees and investors with matching risk and return profiles find each other through a series of costly, bilateral search and diligence processes that create massive inefficiencies and inhibit the flow of capital to where it is needed the most. Furthermore, the lack of connectivity between existing databases, deal sourcing platforms, and investment tools means we are far from leveraging our assets to the greatest effect. All of this results in an exponentially fragmented market that is opposed to rapid scale.
At present, investees and investors with matching risk and return profiles find each other through a series of costly, bilateral search and diligence processes that create massive inefficiencies and inhibit the flow of capital to where it is needed the most. Furthermore, the lack of connectivity between existing databases, deal sourcing platforms, and investment tools means we are far from leveraging our assets to the greatest effect. All of this results in an exponentially fragmented market that is opposed to rapid scale.
Our team has accumulated expertise from both sides of the capital raising market. We experienced ourselves 179 market inefficiencies that lead to inefficient capital allocation on a global scale, including:
Our team has accumulated expertise from both sides of the capital raising market. We experienced ourselves 179 market inefficiencies that lead to inefficient capital allocation on a global scale, including:
● high barriers to entry the market
● high deal acquisition costs
● irrelevant communications
● fragmented solutions and dysfunctional data
● high barriers to entry the market
● high deal acquisition costs
● irrelevant communications
● fragmented solutions and dysfunctional data
A long-lasting problem
A long-lasting problem
For decades investors and entrepreneurs in the private equity market have been drowning in fragmented solutions with limited interoperability and complexity of the unstructured data when making their investment decisions. The replication of diligence costs investors about $4.9 billion each year, according to TeQatlas research. Solving a billion-dollar problem in a trillion-dollar private equity market is not achievable by any one fragmented solution in isolation.
For decades investors and entrepreneurs in the private equity market have been drowning in fragmented solutions with limited interoperability and complexity of the unstructured data when making their investment decisions. The replication of diligence costs investors about $4.9 billion each year, according to TeQatlas research. Solving a billion-dollar problem in a trillion-dollar private equity market is not achievable by any one fragmented solution in isolation.
Augmented Investment Intelligence as a solution
Augmented Investment Intelligence as a solution
TeQatlas provides significant improvement empowering both investees and investors to infuse augmented investment intelligence (aii) into their workflows. The inclusive system design enhances investment processes with a more automated and personalized experience. Investees can focus on doing business instead of continuous fundraising, while investors can diversify their investment strategies and improve the overall outcome.
TeQatlas provides significant improvement empowering both investees and investors to infuse augmented investment intelligence (aii) into their workflows. The inclusive system design enhances investment processes with a more automated and personalized experience. Investees can focus on doing business instead of continuous fundraising, while investors can diversify their investment strategies and improve the overall outcome.
Using the state-of-art technology
Using the state-of-art technology
TeQatlas aims to coordinate the effective flow of data and capital, using a unifying, dynamic technology stack that provides ecosystem stakeholders with a single-vehicle dedicated to radically reduced deal acquisition costs. Our team pays particularly close attention to advanced technologies and systems — not because we believe that technology itself is a silver bullet, but because it is the foundational infrastructure necessary for mobilizing all forms of capital at scale.
TeQatlas aims to coordinate the effective flow of data and capital, using a unifying, dynamic technology stack that provides ecosystem stakeholders with a single-vehicle dedicated to radically reduced deal acquisition costs. Our team pays particularly close attention to advanced technologies and systems — not because we believe that technology itself is a silver bullet, but because it is the foundational infrastructure necessary for mobilizing all forms of capital at scale.
TeQatlas helps investors and investees navigate complex investment landscapes more efficiently, streamline operations, and improve the possibility for better investment outcomes and enhanced syndication. TeQatlas transforms the existing operating models, allowing for an integrated approach across all asset classes and stages of the investment management lifecycle - from fundraising and portfolio construction to investor relations and ultimate liquidity events.
TeQatlas helps investors and investees navigate complex investment landscapes more efficiently, streamline operations, and improve the possibility for better investment outcomes and enhanced syndication. TeQatlas transforms the existing operating models, allowing for an integrated approach across all asset classes and stages of the investment management lifecycle - from fundraising and portfolio construction to investor relations and ultimate liquidity events.
TeQatlas aims to consolidate the existing fragmented approaches and data pools across the entire value chain to streamline data and capital flow, establish predictive data-driven capabilities, risk assessment, and liquidity. TeQatlas is focused on finding an ideal combination of human, Artificial Intelligence, and Blockchain technologies via collective expertise sharing and collective compliance.
TeQatlas aims to consolidate the existing fragmented approaches and data pools across the entire value chain to streamline data and capital flow, establish predictive data-driven capabilities, risk assessment, and liquidity. TeQatlas is focused on finding an ideal combination of human, Artificial Intelligence, and Blockchain technologies via collective expertise sharing and collective compliance.