AI applications are rapidly expanding and becoming more prevalent in today’s digital landscape. However, ensuring the accuracy and reliability of the data that feeds into these applications is a major challenge. This is where Gable.ai comes in. Recently emerging from stealth mode with $7 million in seed funding, Gable.ai offers a unique data collaboration platform that enables software and data/ML developers to iteratively build and manage high-quality data assets. Often referred to as the “GitHub for data,” Gable.ai aims to address the lack of effective communication and collaboration among data professionals.
Data quality is a critical factor in the success of AI applications. Gable.ai recognizes that in order to prevent breaking changes and maintain smooth data workflows, data producers and consumers must work together effectively. The platform offers several key features to facilitate this collaboration, including data asset recognition, data contract creation, and data contract enforcement. By connecting data sources, establishing data asset owners, and setting meaningful constraints, Gable.ai ensures that high-quality data assets are continuously integrated and deployed within existing data infrastructures.
Gable.ai was founded by Chad Sanderson, Adrian Kreuziger, and Daniel Dicker, who previously led the data department at Convoy, a $4 billion digital freight network. While Convoy had a modern data stack and cutting-edge technologies, there were constant data quality issues. The complexity of the data, which included information about shipments, shippers, facilities, carriers, trucks, contracts, and prices, made it extremely challenging to extract meaningful insights or build accurate models. Sanderson highlights the communication gap between software engineers and ML developers as the root cause of these issues.
By bridging the communication gap between software engineers and ML developers, Gable.ai witnessed an exponential improvement in data quality. Sanderson emphasizes that solving communication problems around changes to data is crucial for scaling AI. Without a robust change management system, companies cannot effectively implement AI at scale. Traditional approaches, like throwing more data engineers at the problem, are often not feasible, especially for companies with limited resources. Gable.ai’s platform addresses this issue by providing a collaborative space for data professionals to work together seamlessly.
Gable.ai has introduced the concept of data contracts, which is a novel approach to ensure data quality. Data contracts act as a foundational data type, forming an entirely new category in the data landscape. These contracts establish rules and constraints for data assets, enabling data producers and consumers to have a shared understanding of how the data should be structured and used. This concept has garnered significant interest and support from influential players in the data industry, including dbt Labs, Monte Carlo, Hex, Kaggle, Hightouch, and Great Expectations.
Gable.ai and its data contracts mark a significant step towards reshaping the data landscape. These contracts are poised to become an integral part of a company’s data stack, alongside existing technologies and tools. The platform’s ability to facilitate effective collaboration and enforce data quality will revolutionize how data workflows are managed and scaled. With a Slack community of over 8,000 engaged data practitioners, Gable.ai is fostering a space for data professionals to exchange ideas, share best practices, and drive innovation in the field.
As AI applications continue to proliferate, the importance of high-quality data cannot be understated. Gable.ai’s data collaboration platform is set to transform how data professionals work together, improving data quality and enabling the scaling of AI. By establishing data contracts and promoting effective communication, Gable.ai is ushering in a new era of data management. As the data landscape continues to evolve, Gable.ai is well-positioned to be at the forefront of this transformation, driving innovation and delivering solutions that propel the AI industry forward.
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