Dozer, an open-source data infrastructure platform, has raised US$3 million in seed funding led by Sequoia Capital India and Southeast Asia’s Surge, with participation from Gradient Ventures and January Capital.
The company’s platform allows engineers to easily create highly scalable real-time data APIs from multiple data sources.
The new funding will contribute to scaling the product and engineering teams. Dozer’s platform is now openly accessible to developers after emerging from stealth mode.
As more companies digitise their operations, many are becoming data companies. This has resulted in a significant focus on data engineering and the rise of the ‘Modern Data Stack’ (MDS).
Despite significant investment into what is now a multi-billion dollar market, the impact has not extended beyond IT users in a meaningful way. Business users still struggle to fully unlock the value from the data they have and build better products and services for their customers to drive new revenue streams.
Building data APIs continues to be a difficult process that requires streaming updates, scheduling, transformation, multiple document stores, caching, API backend, and more. The team at Dozer believes that it should be simple and effortless to create data APIs.
Dozer offers a plug-and-play data infrastructure backend that allows engineers to easily connect with any data source, combine them and create real-time APIs to build end-user applications in minutes, all with a simple configuration.
Dozer is open-source and built in Rust, a low-level programming language that is well known for its fast performance and memory safety, and can be extended to support new data sources or transformations.
The platform connects with a wide variety of databases such as Postgres and MySQL, data warehouses such as Snowflake, and even the Ethereum blockchain ledger, allowing engineers to aggregate data across multiple sources to glean real-time insights and build features for customer personalisation.
Matteo Pelati and Vivek Gudapuri, co-founders of Dozer, said that they believe that companies will continue to invest in real-time, data-driven products that offer users a 10x experience – and the picks & 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”, they said. Dozer was born from the result of multiple painful experiences in delivering scalable data products at different organisations such as DBS Bank, Goldman Sachs, DataRobot, and PaySense (now PayU).
Dozer is co-founded by Matteo Pelati and Vivek Gudapuri. With over 20 years of software and data engineering experience, Matteo has been part of data engineering leadership teams and built real-time data platforms at some of the most data-driven yet architecturally complex organisations including Goldman Sachs, DBS, and DataRobot.
Vivek comes with deep product and platform engineering expertise, having led technical teams and scaled platforms in fast-growing technology companies like PaySense and Yojee.
Dozer’s platform allows companies to unlock the full potential of their data and create real-time, data-driven products that offer users a seamless experience.
Surge, which led the funding round, is Sequoia Capital India and Southeast Asia’s rapid-scale up program, which combines up to US$3 million of seed capital with company-building workshops, a global curriculum, and support from a community of exceptional mentors and founders.
The program’s goal is to supercharge early-stage startups in India and Southeast Asia and give founders an unfair advantage, right out of the gate.