Highlights:
- Lume’s platform can identify faults or other technical problems, such as missing fields, in the data it processes.
- Lume will be able to hire more data management and AI specialists due to the recent seed round.
A startup business, Lume AI Inc. raised USD 4.2 million in the seed funding round to bolster its technology. The company assists organizations in migrating data between their applications.
The round was led by General Catalyst. In addition to several angel investors, Lume claimed in its investment announcement that Khosla Ventures, Floodgate, Y Combinator, and Soma Capital also contributed.
Changing the format of data is frequently necessary when transferring it between applications. Such changes might be required, for instance, if the target system distributes entries across several rows, whereas the source application keeps each record in a distinct database row. Developers typically employ scripts that can reformat hundreds of records or more at once rather than manually changing data formatting.
It can take a lot of human labor to create data mapping pipelines, as these programs are called. One of the reasons is that in order to cover all their data assets, businesses need to build a lot of pipelines. To prevent technological problems, the programs must also be actively maintained over time.
A software platform created by Lume claims to make the work easier. The company claims that before importing a dataset into a new application, developers can upload it and choose how they want it to be reformatted. It then automatically creates a script that can make the required adjustments.
“The key foundation lies in Lume’s semantic understanding of data, allowing our AI to understand the nuances between data systems and create the mappings between them,” Co-founder and Chief Executive Officer Nicolas Machado detailed.
Additionally, the business determines to streamline certain associated activities. Lume’s platform can identify faults or other technical problems, such as missing fields, in the data it processes. The program automatically adapts when developers modify a data mapping pipeline so that the update doesn’t interfere with the information flow.
JSON, a file format frequently used to transfer records between applications, is supported by Lume’s data mapping functions. Additionally, CSV spreadsheets and XML, a data format that functions similarly to JSON but can handle more complex entries, have beta support.
Processing client data is one use case that Lume’s platform is intended for. For instance, in order to maximize processing, a business that provides a cloud-based data visualization tool may mandate that customers arrange their records in a specific format. Some of the process’s manual labor can be automated with Lume.
Businesses can also transfer data between internal systems more easily due to the platform. Analytics projects in the workplace frequently use data from multiple internal apps that arrange records differently. The platform can automatically harmonize those records into a single format.
The business claims that developers will save a substantial amount of time. Lume claims that one analytics provider used its software to cut a four-week data mapping process down to four days. Approximately 1,500 automated data management workflows are powered by the platform for another client.
Lume will be able to hire more data management and AI specialists due to the recent seed round. The business intends to implement several platform improvements with the assistance of the new hires. It is creating capabilities that will assist businesses in gathering client records and testing their data management workflows for faults.
