Dozer, a plug and play data infrastructure platform that helps engineers create scalable real-time data APIs, has raised $3 million in seed funding as it emerges out of stealth.
Through its Surge initiative, Sequoia Capital’s Indian division led the seed round. Additionally, Gradient Ventures and January Capital took part in the round. The SaaS startup will use the additional funding to scale its engineering and product teams.
Dozer came out of stealth, gave developers access to its product, and divulged its seed financing while testing its product with a small group of unnamed design partners.
Every company eventually transforms into a software firm as businesses increase their digitization efforts. And many companies also turn into data firms as a result. Consequently, data engineering has received much attention, and the “Modern Data Stack” has become more popular (MDS).
At first, data warehouses like Snowflake, Big Query, and Redshift were the primary focus of this market. Still, significant investments in data integration, transformation, visualization, and more have since been made.
Despite substantial investment into a market now worth billions of dollars, the effect has not materially exceeded IT users. IT departments can now store, manage, protect, and catalog data in better ways, but the business unit or business user has not yet fully realized the value of this data.
Although business users may have improved intelligence or better insights, they still struggle to ultimately realize the value of their data and develop better goods and services for their clients to generate new revenue streams.
Building data APIs is still challenging because the final mile of the current data stack is still a mystery.
Dozer provides a plug-and-play data infrastructure backend that lets engineers quickly connect to any data source, combine them, and promptly create real-time APIs to build end-user apps.
Dozer enables engineers to build APIs from multiple data sources
Co-founded by Matteo Pelati and Vivek Gudapuri, Dozer is open-source and built in Rust, a low-level programming language well known for its fast performance and memory safety. It can be extended to support new data sources or transformations.
“We believe that companies will continue to invest in real-time, data-driven products that offer users a 10x experience – and the picks and shovels that enable this will unlock tremendous value. Dozer offers a novel approach to building data APIs, playing in a very strategic and potentially large TAM”, said Matteo and Vivek, Co-founders of Dozer.
Due to numerous unpleasant deliveries of scalable data products, Dozer was created at various companies, including DBS Bank, Goldman Sachs, DataRobot, and PaySense (now PayU).
Engineers can easily create APIs from various data sources using the data infrastructure platform without sacrificing performance. Engineers can quickly create scalable real-time data apps thanks to the platform’s database connection.
It allows engineers to combine data from various sources to gain real-time insights and develop features for customer personalization. It links with many databases, including Postgres and MySQL, data warehouses like Snowflake, and even the Ethereum blockchain ledger.
