Reporting From The Future

UnifyApps Raises $50 Million to Help Enterprises Become AI-Native

As enterprises grapple with the challenge of scaling AI, UnifyApps wants to become their operating system for the future—one that makes AI as seamless to deploy as software once was

After decades of digitization, a new challenge now looms for global enterprises: becoming truly AI-native. UnifyApps, a fast-growing enterprise software company, announced it has raised $50 million in Series B funding to build what it calls the Enterprise Operating System for AI.

The round, led by WestBridge Capital with participation from ICONIQ and others, brings UnifyApps’ total funding to $81 million. The company also named Ragy Thomas—an early investor and veteran of enterprise software—as its Chairman and Co-Chief Executive Officer, joining co-founder Pavitar Singh to drive global expansion.

“The next decade will belong to AI-native enterprises,” said Thomas. “We are seeing the same inflection point we saw with the rise of the internet—every piece of software, workflow, and process will be reinvented with AI at the core. UnifyApps is building the platform that makes that transformation possible.”

The company’s premise is simple but ambitious: while enterprises have poured millions into experimenting with generative AI, most still struggle to operationalize it. Today’s large language models, or LLMs, cannot easily connect to the messy, siloed systems where corporate data lives—systems like Salesforce, Workday, and internal intranets. The result is what UnifyApps calls “AI sprawl,” a proliferation of disconnected pilots and proofs of concept that rarely scale.

UnifyApps says its platform solves that problem through an LLM-agnostic, AI-native architecture that unifies an organization’s systems of record, knowledge, and activity. Using a low-code/no-code workflow builder, it allows teams to design and deploy agentic AI applications that can access the right data, apply the right models, and act inside the tools employees already use.

The company describes this as a “closed-loop” approach—linking data, intelligence, and execution to turn fragmented experiments into measurable business outcomes. Built on what it calls a Six-Layer Enterprise AI Architecture, the system integrates data management, ontologies, workflow automation, and autonomous agents into a single environment.

Enterprises such as HDFC Bank, Deutsche Telekom, Contentstack, Belcorp, Sirion Labs, WalkMe, Air Arabia, Liva Insurance, and the Abu Dhabi and Dubai Governments are already using UnifyApps to unify data and accelerate AI adoption.

According to the company, most enterprise AI projects fail before reaching production—by some estimates, as many as 95 percent. UnifyApps aims to reduce that failure rate by giving CIOs a secure, governed, and scalable way to deploy generative AI across business processes.

“UnifyApps has built the foundational platform for agentic AI adoption in the enterprise,” said Rishit Desai, partner at WestBridge Capital. “While most organizations are still stuck in experimentation, UnifyApps helps them scale real AI across workflows—securely, with strong governance, and with measurable ROI. We believe that this is the infrastructure layer for the next generation of enterprise software.”

The company’s growth has been rapid. UnifyApps says its revenue increased more than 600 percent year over year, driven by clients in sectors including retail, banking, telecom, healthcare, and the public sector. Its customers are using the platform to automate HR operations, streamline claims processing, optimize supply chains, and reimagine customer engagement—often achieving results within months.

Singh, who co-founded the company, said the addition of Thomas will strengthen its go-to-market execution. “Ragy’s experience in building and scaling one of the world’s leading enterprise software companies will accelerate our go-to-market growth and global footprint,” he said.

Singh pointed to a recent collaboration with a Fortune 50 retailer as an example of what UnifyApps can do. “With UnifyApps’ no-code platform and deep data connectivity, we enabled intelligent automation across store operations, supply chain, merchandising, finance, and support,” he said. “UnifyApps has accelerated GenAI and agentic AI deployment cycles from months to days, helping the retailer stay ahead in delivering world-class customer experiences.”

The new funding will support UnifyApps’ expansion in Europe, platform development, and the creation of a catalog of pre-built enterprise AI applications.

For Singh and Thomas, the company’s mission extends beyond efficiency. “Being AI-native isn’t a feature—it’s fundamental to surviving in the AI era,” Singh said. “Enterprises that evolve with AI will not just automate tasks but reinvent how they create value, govern systems, and engage the world around them.”

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