As AI adoption accelerates, a critical shortage of technical talent threatens to bottleneck progress for many companies.
RapidCanvas has secured $16 million in funding to support its AI agents, which automate up to 75% of complex tasks typically handled by data scientists and engineers.
Leveraging the power of Large Language Models (LLMs), these AI agents excel at processing extensive data, identifying patterns, and making informed decisions, replicating key human capabilities in the workplace.
The Series A funding round was led by Peak XV, with additional participation from Titanium Ventures and existing investors Accel and Valley Capital Partners. This brings RapidCanvas’s total funding to over $23.5M since its inception in 2021.
Although Gartner predicts over 80% of enterprises will implement AI-powered processes in the coming years, 68% of executives cite a lack of technical talent as a critical barrier.
Data scientists and engineers are expensive and often tied up in repetitive coding and data transformation tasks – stretching out AI implementation, delaying return on investment (ROI), and stalling business growth.
Unlike traditional software that merely enables humans to do tasks quicker, RapidCanvas’s AI agents can absorb and process information at an unprecedented scale, reading thousands of pages in seconds and performing tasks that would take humans days to complete.
Uniquely, the platform adopts a hybrid approach that combines the power of AI agents with human expertise.
While AI agents can handle up to 70% of coding tasks faster and more cost-effectively than humans, the remaining 30% of expert tasks—such as system design, hypothesis testing, and creative problem-solving—still require human intervention.
This model allows RapidCanvas to deliver superior results with significantly fewer human resources, typically requiring only 1 or 2 expert engineers where traditional firms might employ 10.
This ‘Service-as-Software’ approach is particularly effective in areas like coding, where AI agents can handle much of the routine, repeatable tasks.
The market potential for this is staggering. With over 30 million software engineers and data scientists globally representing nearly $1 trillion in salaries, RapidCanvas estimates that 70% of these tasks can be performed by AI agents, freeing them to focus on valuable work that drives business growth.
RapidCanvas was founded by veterans of AI-powered business transformation. Co-founders Rahul Pangam and Uttam Phalnikar previously built Simility, an AI-powered risk management platform acquired by PayPal.
Their technology was later integrated into PayPal’s global fraud detection operations. The duo’s deep expertise in AI implementation and its real-world impact drives their vision mission to make AI accessible and effective for businesses of all sizes.
The duo has also assembled a seasoned leadership team that has been part of multiple successful startup exits – including 5 IPOs.
“At RapidCanvas, we’re revolutionizing how businesses solve complex challenges by seamlessly integrating the power of generative AI with the expertise of domain specialists,” said Rahul Pangam, CEO and co-founder of RapidCanvas.
“Our context-aware AI agents automate critical tasks like data preparation, transformation, and modeling, allowing business users to create tailored AI solutions using simple natural language prompts,”
“With our expert-in-the-loop approach, we ensure human oversight at key decision points, validating outcomes and delivering real-world impact. Moreover, our Reliable AI framework ensures all outputs are validated, secure and explainable,” Pangam said.
“This customer-centric approach empowers businesses to achieve results in days or weeks, not months—at a fraction of the cost of traditional methods. This funding round will accelerate our mission to make trusted, efficient AI transformation accessible to more enterprises.” he said.
The company’s ‘Service-as-Software’ model marks an entirely new era in automation. For the past 25 years, Software-as-a-Service (SaaS) has dominated the software landscape.
Although SaaS tools drive efficiency gains through workflow automation, their ROI is limited to productivity gains for employees, rather than direct business outcomes.
In contrast, RapidCanvas directly links software costs to business outcomes. Its AI agents autonomously handle complex tasks, reducing the need for technical talent and delivering faster, more scalable results.
The shift from indirect efficiency gains to tangible business results represents a fundamental change in how companies use software.
RapidCanvas is recognised as a top 5 Data Science and Machine Learning platform by independent research firm G2 for customer satisfaction.
