RapidCanvas Raises $29M to Build Custom AI Apps for Businesses

On Friday, Oct. 16, 2026, RapidCanvas, an enterprise AI company based in Austin, Texas, announced that it has raised $29 million in Series B funding. The startup's pitch is easy to understand: instead of handing companies a tool and wishing them luck, it pairs AI agents with its own engineers to build and run custom AI apps for each client. Investors are betting that this "done for you" model is what most businesses actually need.

What happened

The round was led by Vertex Ventures SEA & India, with Hitachi Ventures joining as a new investor, according to the company's announcement on GlobeNewswire. Existing investors Accel, Peak XV Partners, Valley Capital Partners and Titanium Ventures also took part. The new money brings RapidCanvas's total funding to $52.5 million, following a $16 million Series A in December 2024, according to The Next Web.

RapidCanvas was founded in 2021 by Rahul Pangam, its CEO, and Uttam Phalnikar, its CTO. According to StartupTalky and IT Brief, the two previously built Simility, a fraud-prevention company that PayPal acquired.

The company shared a few growth figures but did not disclose revenue or its valuation. It said its annual recurring revenue grew eight times over the past six quarters, and that more than 40% of its customers run several AI use cases in production. It also said more than 75 enterprises have made 1.4 million AI-led decisions so far this year using applications built on its platform.

RapidCanvas plans to use the money to grow its sales teams, expand its partnerships with private equity firms and advisers, and hire more AI engineers in the U.S., Brazil and India. It will also keep investing in its products, including an Enterprise Context Engine that stores a client's business rules and definitions so its AI apps understand how that company works.

Why it matters

Many companies have spent heavily on AI and are still waiting to see real results. Off-the-shelf AI tools often do not know a company's data, its rules or the software it already uses, so projects stall after the demo.

RapidCanvas is attacking that gap. According to The Next Web, its engineers first learn how a client operates, then build AI apps that can connect to and update everyday business systems such as CRM (customer relationship management) and ERP (enterprise resource planning) software. In plain terms, the AI does not just give advice; it does work inside the systems the business already runs on.

"AI can be the great equalizer, but so far its biggest wins have gone to the Fortune 100," Pangam said in the announcement.

Pangam's point captures the opportunity. The biggest companies can afford large in-house AI teams. Everyone else needs a partner, or a finished product, that delivers results without a long, expensive learning curve.

What this means for founders and builders

This funding round is a strong signal that customers will pay for outcomes, not just software. RapidCanvas grew by combining technology with hands-on building, delivering apps that fit each client's real workflow. That is the same reason custom software keeps winning: a product shaped around how you actually work beats a generic tool you have to bend your business around.

If you have a specific process you want to automate, or an AI product idea for your own customers, you do not need a Fortune 100 budget to get it built. A custom build from KIING DIGITAL LABS turns your idea into a complete, working product that you own.

If you would rather start with something that already works, browse finished software products ready to acquire. Buying a built product lets you skip months of development and focus on customers from day one.

For builders, the lesson is to focus on results you can measure. RapidCanvas leads with numbers such as revenue growth and decisions made by its apps. When you pitch a product, whether to buyers, investors or customers, show what it actually does for the business, not just which AI model it uses.

The bottom line

RapidCanvas's $29 million round shows that the next wave of AI growth is about delivery: building apps that fit a company's real data and systems and then keeping them running. For businesses, the message is that useful AI is within reach without a giant in-house team. For founders, it is proof that solving the "last mile" of AI is a business investors want to fund.

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• RAPIDCANVAS
• FUNDING
• AI AGENTS
• ENTERPRISE AI
• CUSTOM SOFTWARE