Irish start-up Zerve, which specializes in data science and artificial intelligence, has secured $3.8 million in pre-seed funding to bolster its research and development capabilities. The company plans to expand its staff, doubling its current team of 12 over the next year to support its engineering, cloud infrastructure, and research and development teams.
Zerve was founded in 2021 by Phily Hayes, Jason Hillary, and Greg Michaelson and is headquartered in Tipperary. The company has developed a platform that facilitates collaboration among data science and AI development teams. This cloud-based serverless environment enhances live collaboration and the creation of stable production code.
The goal of the platform is to allow data scientists to work together simultaneously. Zerve’s co-founder Mr. Hayes described the company’s architectural vision as one that promotes exploratory data analysis and the development of production-quality code. He believes that data science should transition from a solo pursuit to a multiplayer endeavor, much like what Figma did for design by allowing designers to collaborate in real-time. The funding from the pre-seed round provides Zerve with the opportunity to realize and capitalize on its vision.
Elkstone Ventures led the pre-seed round, with contributions from angel investors including Algolia CTO Sean Mullaney and former DataRobot EVP of engineering Rob Hickey. Niall McEvoy, partner at Elkstone Ventures praised Zerve’s ambition to bridge the gap between data science and AI development emphasizing the potential for its technology to break down silos and harness the power of AI and data science. Additionally, Zerve has been selected as one of the 10 European startups for the Intel Ignite Accelerator program which is tailored for deep tech companies.
Mr. Hayes identified fragmentation in tools available for sharing code and results with colleagues as a productivity hindrance for data scientists. He suggested that a unified platform like Zerve’s could address this issue perfectly.
In conclusion, Zerve is well positioned to provide an efficient solution for collaboration among data science