RapidCanvas Raises $29 Million Series B Led by Vertex Ventures

RapidCanvas, an enterprise artificial intelligence startup, has raised $29 million in a Series B funding round led by Vertex Ventures Southeast Asia & India. The round also included Hitachi Ventures and existing investors Accel, Peak XV Partners, Valley Capital Partners, and Titanium Ventures.

Announced on October 16, 2026, the latest investment brings RapidCanvas's total funding to $52.5 million. The company plans to use the capital to expand its go-to-market teams, strengthen strategic partnerships, and grow its field AI engineering team across India, the United States, and Brazil.

Founded in 2021, RapidCanvas helps enterprises build and deploy custom AI applications by combining AI agents with human expertise. Its platform is designed to help businesses move beyond experimental AI projects and implement applications in production environments.

The company reports that its annual recurring revenue (ARR) grew eightfold over the past six quarters. It also says more than 40% of its customers now operate multiple AI use cases in production, indicating growing adoption among businesses using the platform.

RapidCanvas Targets the Enterprise AI Implementation Gap

Many enterprises are exploring artificial intelligence, but turning an initial pilot into a dependable production application can require significant technical expertise, business knowledge, and operational support.

RapidCanvas focuses on this implementation challenge. Rather than providing only software tools, the company combines its AI platform with field engineers who work directly with customers to build applications and oversee their outcomes after deployment.

Its target customers are enterprises generating between $100 million and $10 billion in annual revenue. According to the company, these businesses often have budgets for AI initiatives but lack the internal resources or specialised expertise needed to develop and deploy custom applications.

RapidCanvas aims to bridge that gap by combining automated development capabilities with human involvement throughout implementation.

The approach is intended to help enterprises apply AI to practical business workflows rather than leaving projects at the proof-of-concept stage.

Three Core Products Power the RapidCanvas Platform

RapidCanvas offers three core products that support different stages of enterprise AI development and deployment.

1. Enterprise Context Engine

The Enterprise Context Engine helps capture business context needed to develop AI applications. Understanding an organisation's processes and operational requirements is important when building systems intended to support real business decisions.

This component forms part of RapidCanvas's broader approach to developing applications tailored to individual enterprise needs.

2. Visual Development Canvas

The Visual Development Canvas supports the development of custom AI applications.

It is designed to help enterprises build applications using the RapidCanvas platform, with AI agents and human expertise contributing to the development process.

The goal is to make it easier to translate business requirements into applications that can be deployed within operational workflows.

3. Operational Harness

The Operational Harness helps manage AI applications after deployment.

Enterprise AI systems must continue operating within business processes after development is complete. RapidCanvas positions this product as part of the infrastructure for managing deployed solutions and supporting their ongoing use.

Together, the three products cover business context, application development, and operational management.

More Than 75 Enterprises Made 1.4 Million AI-Led Decisions

RapidCanvas reported that more than 75 enterprises across manufacturing, financial services, retail, business services, and infrastructure made 1.4 million AI-led decisions in 2026 using applications built on its platform.

The company also said its ARR increased eightfold over the preceding six quarters.

Another reported adoption metric is that more than 40% of its customers now operate multiple AI use cases in production. This suggests that a portion of its customer base has moved beyond a single application to deploying AI across multiple business workflows.

These figures are company-reported metrics. The announcement does not provide a detailed breakdown of revenue, customer retention, individual customer outcomes, or the precise definition of an AI-led decision.

Nevertheless, the reported figures illustrate the commercial traction RapidCanvas is highlighting as it seeks to expand its enterprise customer base.

Why RapidCanvas Combines AI Agents With Human Expertise

RapidCanvas's operating model combines AI software with field engineering teams that work alongside customers.

This hybrid approach reflects the complexity of enterprise AI implementation. Businesses may need to account for existing processes, internal data, technical systems, and operational requirements before an AI application can be used in production.

A platform can provide development tools, but customers may still require support to translate their needs into working applications and maintain those applications after deployment.

RapidCanvas's field engineers are intended to provide that additional support. The company plans to expand this team using proceeds from the new funding round.

By combining software with hands-on implementation, RapidCanvas is positioning itself as a partner for organisations that want to adopt custom AI applications without relying entirely on internal development teams.

The effectiveness of this model will depend on the company's ability to scale its engineering resources while maintaining application quality and customer outcomes.

RapidCanvas Raises $29 Million From Vertex Ventures and Existing Backers

Vertex Ventures Southeast Asia & India led the $29 million Series B, with participation from Hitachi Ventures and existing investors Accel, Peak XV Partners, Valley Capital Partners, and Titanium Ventures.

The investment takes RapidCanvas's total funding to $52.5 million.

The company previously raised $16 million in a Series A round in December 2024, led by Peak XV Partners, with participation from Titanium Ventures, Accel, and Valley Capital Partners. That round brought its total funding to $23.5 million at the time.

The latest round provides additional capital for commercial expansion, partnerships, and engineering capacity.

RapidCanvas has not disclosed a valuation in the supplied announcement, and a detailed allocation of the new funding has not been provided.

Founders Previously Built AI Risk Management Company Simility

RapidCanvas was co-founded by Rahul Pangam and Uttam Phalnikar in 2021.

Before founding RapidCanvas, the pair built Simility, an AI-based risk management company that was acquired by PayPal.

Their previous experience in developing an AI-focused business provides background to RapidCanvas's current focus on applying AI to enterprise operations.

At RapidCanvas, the founders have adopted a model that combines AI technology with human expertise to help customers develop and deploy custom applications.

The company's emphasis is on practical implementation and production use rather than simply giving businesses access to AI development tools.

Expansion Plans Across India, the US, and Brazil

With its new funding, RapidCanvas plans to expand its go-to-market teams, strengthen partnerships, and increase its field AI engineering capacity across India, the United States, and Brazil.

These efforts are intended to support wider enterprise adoption and help the company serve organisations across its target markets.

The expansion will also test whether RapidCanvas can scale its hybrid delivery model while supporting customers with different technical environments and business requirements.

Its reported growth in recurring revenue and production deployments provides the company with a foundation for its next phase, although sustained growth will depend on continued customer adoption and successful implementation.

What Comes Next for RapidCanvas?

RapidCanvas is addressing a practical challenge in enterprise AI: helping organisations turn AI initiatives into applications that are used in everyday operations.

Its $29 million Series B funding round gives it additional resources to expand sales, strengthen partnerships, and grow its engineering team.

The company's next phase will centre on reaching more enterprises, supporting additional production use cases, and scaling its combination of AI agents and human implementation expertise.

As businesses continue investing in artificial intelligence, RapidCanvas is betting that demand will extend beyond AI tools themselves to solutions that can be integrated into real workflows and managed over time.