BIG DATA MANAGEMENT

Daasity Raised $15M in Series A Headed by VMG Catalyst to Make Smarter, Strategic Decisions With Data

Daasity | January 18, 2022

Data Analytics
Daasity, a consumer product analytics, and data platform, said that it had raised $15 million in Series A funding headed by existing lead investor VMG Catalyst. The money will make data more accessible and allow firms to augment their marketing channels with more tailored customer data.

“We're proud that leading investors in the consumer product brand space continue to partner and back us,” said Dan LeBlanc, CEO of Daasity. “Our 300% growth in under a year proves how scattered data is holding brands back from making urgent, critical business decisions. This capital will accelerate our vision of making actionable data accessible to all e-commerce brands.”

“We are thrilled to continue our partnership with Dan and the Daasity team as they enter their next phase of growth,” says Brooke Kiley, Partner at VMG Catalyst. “We consistently see how difficult it is for brands to act on their data, yet there is a greater need than ever. It is vital to utilize data to succeed in today’s competitive e-commerce environment. Daasity makes data accessible to all brands, empowering them with actionable insights and the ability to enrich their marketing channels with essential customer data.”

By centralizing actionable sales (Shopify, Amazon), marketing (Facebook, Google), and inventory data, Daasity reveals insights for over 1,600 consumer goods firms. Thanks to Daasity's customizable eCommerce data platform, team members, leadership, and analysts from firms like Manscaped, Vuori, Tula Skincare, Kopari, American Giant, and Caraway Home are now data-driven.

“Having our data at our fingertips has been key in allowing us to accelerate our growth strategy,” says Josh Knopman, Director of Growth & Digital Product at Caraway Home. “Daasity is a core component of our marketing stack. The ability to pull in data from dozens of sources and track daily performance at both a business and channel level gives our team the confidence and understanding to place smart bets faster. Analyzing all our customer data in one place allows us to better segment and personalize our marketing.”

Follow-on investments from Exeter Capital, VMG Catalyst, Mooring Ventures, Cove Fund, 1855 Capital, Okapi Venture Capital, and Serra Ventures fully funded the oversubscribed $15 million raise.

Spotlight

GPU, for example, can deliver exceptional processing power inside some HPE ProLiant servers and clusters.  GPU compute touches many applications, from engineering analysis and seismic processing to medical imaging and ray trace rendering. HPC capable GPUs broadly fall into two camps  those that are optimized for single precision operations and those that are optimized for both single and double precision operations. Single precision operations are used in applications where high performance takes precedence over extreme accuracy.  Examples include video enhancement, signal processing, video transcoding, deep neural networks (DNN) and digital rendering applications. Double precision operations are used in applications where numerical precision is critical. Examples include Computational Fluid Dynamics (CFD), Structural Mechanics, Reservoir Simulation and Aerodynamics applications.

Spotlight

GPU, for example, can deliver exceptional processing power inside some HPE ProLiant servers and clusters.  GPU compute touches many applications, from engineering analysis and seismic processing to medical imaging and ray trace rendering. HPC capable GPUs broadly fall into two camps  those that are optimized for single precision operations and those that are optimized for both single and double precision operations. Single precision operations are used in applications where high performance takes precedence over extreme accuracy.  Examples include video enhancement, signal processing, video transcoding, deep neural networks (DNN) and digital rendering applications. Double precision operations are used in applications where numerical precision is critical. Examples include Computational Fluid Dynamics (CFD), Structural Mechanics, Reservoir Simulation and Aerodynamics applications.

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