Key Takeaways
- • RapidCanvas, a managed AI execution company, raised $29 million in Series B funding, bringing its total funding to $52.5 million.
- • The round was led by Vertex Ventures SEA & India, with participation from Hitachi Ventures and existing investors Accel, Peak XV Partners, Valley Capital Partners and Titanium Ventures.
- • The company reports 8x growth in annual recurring revenue over the past six quarters.
- • More than 40% of RapidCanvas' customers now run multiple AI use cases in production, according to the company.
Summary
Austin, Texas-based RapidCanvas, which describes itself as a managed AI execution company pioneering what it calls the Hybrid Approach to deliver custom AI solutions at SaaS economics, has raised $29 million in Series B funding, according to a company announcement published by Massinvestor.
The round was led by Vertex Ventures SEA & India, with participation from Hitachi Ventures. Existing investors Accel, Peak XV Partners, Valley Capital Partners and Titanium Ventures also took part. The financing brings RapidCanvas' total funding to $52.5 million.
The company attributes the raise to commercial traction, citing 8x growth in annual recurring revenue over the past six quarters. It says enterprises are increasingly demanding measurable outcomes from custom AI deployed in production environments. Per the company, more than 40% of its customers now run multiple AI use cases in production.
The source article does not provide details on valuation, use of proceeds, or headcount plans.
The round was led by Vertex Ventures SEA & India, with participation from Hitachi Ventures. Existing investors Accel, Peak XV Partners, Valley Capital Partners and Titanium Ventures also took part. The financing brings RapidCanvas' total funding to $52.5 million.
The company attributes the raise to commercial traction, citing 8x growth in annual recurring revenue over the past six quarters. It says enterprises are increasingly demanding measurable outcomes from custom AI deployed in production environments. Per the company, more than 40% of its customers now run multiple AI use cases in production.
The source article does not provide details on valuation, use of proceeds, or headcount plans.
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