RapidCanvas Secures $29 Mn in to Expand AI Engineering and Sales Teams

The round also included Hitachi Ventures and existing investors Accel, Peak XV Partners, Valley Capital Partners and Titanium Ventures.

The latest investment brings RapidCanvas' total funding to $52.5 million. The company plans to use the capital to help more enterprises develop, deploy and manage AI applications for their business operations.

How Will RapidCanvas Use the Funding?

RapidCanvas will use the new capital to expand its go-to-market teams, strengthen strategic partnerships and grow its field AI engineering teams across India, the United States and Brazil.

The company also plans to expand its network of private equity and advisory partners. These partnerships are expected to help RapidCanvas reach more businesses seeking to deploy AI applications in their operations.

Its approach combines AI software with engineering support. Field AI engineers work directly with customers to understand business requirements, develop custom applications and monitor their performance after deployment.

RapidCanvas Reports Growth in Enterprise AI Adoption

RapidCanvas said its annual recurring revenue grew eightfold over the six quarters preceding the announcement. The company also reported that more than 40% of its customers were running multiple AI use cases in production.

In 2026, more than 75 enterprises across manufacturing, financial services, retail, business services and infrastructure made 1.4 million AI-led decisions using applications built on the RapidCanvas platform, according to the company.

About RapidCanvas

Founded in 2021, RapidCanvas develops an AI platform that helps enterprises build and deploy custom AI applications. The platform combines AI agents with human expertise to address business problems and support the adoption of AI in production environments.

Its core products include the Enterprise Context Engine, Visual Development Canvas and Operational Harness. These tools are designed to capture business knowledge, support application development and manage AI applications after deployment.

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