v4c.ai raised Series A investment from Databricks Ventures and Kira As the fast-growing consulting and services company expands its role within the Databricks data and AI ecosystem.
This investment formalizes a deeper strategic collaboration between the two companies as companies continue to accelerate modernization projects related to cloud data infrastructure, machine learning adoption, and generative AI operations.
Financial terms of the investment were not disclosed.
Founded as a pure Databricks services partner, v4c specializes in data engineering, AI implementation, machine learning, and analytics infrastructure. data brick Lake house platform. The company said it currently supports more than 150 joint customers, employs more than 400 data and AI professionals worldwide, and has more than 600 Databricks certifications across its workforce.
Operationally, this investment highlights the growing importance of ecosystem partners in the enterprise AI infrastructure market. As organizations move from pilot AI experiments to production deployments, the demand is shifting for adopters that can handle data architecture modernization, orchestration, governance, and operational scaling within complex enterprise environments.
Databricks executives say v4c’s technical expertise and execution capabilities have enabled the company to position itself as an increasingly important delivery partner within the broader Databricks ecosystem.
The company reported nearly 800% organic customer growth and 900% year-over-year revenue growth since partnering with Databricks. Management also projects that the number of employees will exceed 700 by the end of 2026, and annual revenue will grow seven times.
These growth rates highlight how quickly implementation and integration partners are scaling enterprise AI infrastructure platforms as organizations face operational bottlenecks from fragmented data systems, the complexity of cloud migration, and the challenges of deploying AI in production.
Rather than competing directly with platform providers, companies like v4c are increasingly acting as operational accelerators, helping enterprises integrate data pipelines, machine learning workflows, governance systems, and analytics infrastructure into production business environments.
Databricks has relied heavily on ecosystem partners to expand enterprise adoption of its Lakehouse architecture, which brings together data warehousing and data lake capabilities into a unified infrastructure designed to support analytics, AI, and large-scale data engineering workflows.
For v4c, joining the Databricks Ventures portfolio provides not only capital but also closer strategic positioning within one of the fastest growing enterprise AI infrastructure ecosystems. founder vijay rao The company says this investment demonstrates its long-term alignment with the Databricks platform and broader Lakehouse architecture strategy.
Tquila, which led the investment round, said v4c is one of the fastest expanding companies operating within the enterprise data and AI services market, citing the company’s execution speed and ecosystem expertise.
The deal also reflects broader integration and specialization trends across enterprise AI services, where platform-centric consulting firms are emerging around dominant cloud and AI ecosystems, rather than operating as general-purpose systems integrators.
As companies continue to increase spending on AI infrastructure and data modernization, there is a growing demand for companies that can operationalize AI initiatives across governance, deployment, workflow integration, and production scalability. These areas are increasingly determining whether enterprise AI projects move beyond experimentation to ongoing operational use.
