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Gable raises $20 million in Series A funding to expand its data management platform. Its use of API-based data contracts improves collaboration between software and data teams, reducing incidents and accelerating development. Early adopters report up to 70% faster issue resolution and significant gains in productivity.
The $3.1 Trillion Disconnect in Enterprise Data
The longstanding divide between software developers and data teams continues to impose significant costs on organizations. This misalignment often results in poor-quality data, missing context, broken data pipelines, and redundant efforts. The U.S. economy alone incurs an estimated $3.1 trillion annually due to unreliable and inconsistent data.
Traditional workflows leave developers without visibility into how their data is consumed downstream. This gap fosters mistrust, inconsistent outputs, and reactive fire-fighting by data teams. Companies remain burdened with avoidable inefficiencies that affect the accuracy of analytics and the speed of innovation.
Gable introduces a solution that allows teams to mitigate these issues early in the development lifecycle. By shifting responsibility for data quality upstream, it encourages shared accountability and removes friction between roles.
$20M Series A to Scale Product and Teams
Gable secured $20 million in Series A financing to accelerate its platform development and meet demand for collaborative data tools. The round was led by Crane Venture Partners, with participation from:
- Zetta Venture Partners
- B Capital
- Capital One Ventures
- Databricks Ventures
- In-Q-Tel (IQT)
- Angel investors including Barr Moses and Tristan Handy
With this new investment, Gable plans to expand its workforce across engineering, product, and customer success departments. The funding will also support ongoing refinement of its platform in collaboration with customers such as Glassdoor, Grab, and x15ventures, the venture arm of Commonwealth Bank of Australia.
Data Contracts as the Foundation for Collaboration
Central to Gable’s offering is the concept of “data contracts”. These are API-based agreements between software developers who generate data and data teams who rely on it. Contracts are defined, enforced, and discovered through Gable’s platform.
They provide structure and constraints across multiple data types, including structured, semi-structured, and unstructured formats. This standardization ensures that expectations are clear and that changes to data are communicated before they impact downstream systems.
The contracts are not only technical safeguards but also mechanisms for embedding context into data assets. By defining quality standards at the point of creation, Gable removes the need for after-the-fact corrections and manual pipeline fixes.
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The Shift Left Strategy in Data Engineering
Gable applies a “Shift Left” methodology, previously seen in DevOps and DevSecOps, to data management. Instead of placing the burden of data governance solely on downstream analysts and engineers, it distributes responsibility across producers, platform teams, and consumers.
This model treats data as a shared product and encourages early engagement by developers. By integrating data governance directly into the development cycle, teams avoid delays caused by broken pipelines and missing schema definitions.
The approach redefines data engineering workflows, shifting the focus from incident response to quality control at the source. This alignment results in fewer downstream errors and clearer ownership of data behavior.
Backers Signal Confidence in Gable’s Approach
The company’s investors, including Databricks Ventures and Capital One Ventures, emphasize the importance of accurate and actionable data. Databricks described Gable’s role as a bridge between developers and data teams, reducing blind spots and improving trust in data assets.
Scott Sage of Crane Venture Partners called out the long-standing inefficiencies in enterprise data environments. He noted that Gable empowers developers to take ownership of data quality and sets a new standard for data team collaboration.
Kyle Dervishi, VP of Engineering at Glassdoor, reported significant improvements since implementing Gable’s platform. Prior to adoption, the team experienced multiple monthly incidents that disrupted development. Since integrating Gable, they recorded three months without a single incident. Development velocity increased, and data engineers now focus on analytics and AI instead of repairing faulty pipelines.
Gable’s Broader Industry Engagement
On March 27, 2025, Gable hosted its first Shift Left Data Conference. The virtual event brought together over 500 attendees and featured speakers from companies including Wayfair, Glassdoor, and Helix. Discussions centered on the role of data contracts and the future of collaborative data environments.
The company now supports a community of over 15,000 data practitioners. With $27 million in total funding to date, Gable continues to grow its influence in the enterprise data space.
Implications for Data-Driven Organizations
As data complexity increases and AI applications rely more heavily on quality inputs, organizations face mounting pressure to build resilient, transparent data pipelines. Gable offers a framework that shifts data quality into the hands of those best positioned to influence it—developers and platform engineers.
This method not only reduces operational bottlenecks but also positions teams to deliver higher-quality analytics and AI products. By embedding responsibility earlier in the lifecycle, companies are seeing faster resolution times and shorter development cycles for data-reliant features.
Early users have reported:
- Up to 70% faster incident resolution
- Nearly 50% acceleration in development timelines for data-driven features
These figures suggest that Gable’s model reshapes how organizations approach data ownership, emphasizing clarity, consistency, and collaboration.
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