How To Make GenAI Work At Last For Large Enterprises

TITLE: The Horizontal Integration Breakthrough: How UnifyApps Is Solving Enterprise GenAI’s Data Access Crisis

The GenAI Enterprise Dilemma: Massive Investment, Minimal Returns

Large enterprises are facing a sobering reality check in their generative AI initiatives. Despite pouring billions into AI infrastructure and pilot programs, a staggering 95% of these projects fail to demonstrate measurable business value according to recent MIT research. This alarming failure rate has created what industry observers are calling the “AI implementation gap” – the chasm between AI’s theoretical potential and its practical business application.

The GenAI Enterprise Dilemma: Massive Investment, Minimal Returns
The Data Access Bottleneck: Why Current Approaches Fail
The Horizontal Solution: UnifyApps’ Enterprise AI Operating System
Rapid Market Traction and Significant Funding
The Competitive Landscape and Scaling Challenge
The Future: AI-Native Enterprises and Measurable ROI

The core problem isn’t the technology itself, but how it’s being deployed. “Enterprises are treating GenAI as another point solution rather than a transformative platform,” explains industry analyst Michael Chen. “They’re implementing AI tools in departmental silos without addressing the fundamental data accessibility issues that prevent these systems from delivering meaningful insights.”

The Data Access Bottleneck: Why Current Approaches Fail

Generative AI’s promise hinges on its ability to process and synthesize vast amounts of enterprise data. However, most organizations have their data locked away in dozens, sometimes hundreds, of disconnected systems. Customer relationship platforms don’t speak to inventory management systems, which operate independently from financial software, creating data islands that GenAI cannot bridge.

Ragy Thomas, newly appointed chairman and co-CEO of UnifyApps, identifies this as the critical failure point. “GenAI needs comprehensive access to enterprise data to deliver on its promise, and it simply isn’t getting that access with current implementation approaches. Companies are trying to solve 21st-century problems with 20th-century data architectures.”

The Horizontal Solution: UnifyApps’ Enterprise AI Operating System

New York-based UnifyApps is tackling this challenge with what it describes as an “enterprise operating system for AI.” Rather than creating another vertical AI tool, the company has developed a horizontal platform designed to connect existing enterprise systems and extract, quality-check, and route data to wherever it’s needed across the organization.

“What we’ve built is fundamentally different from the point solutions flooding the market,” says co-CEO Pavitar Singh. “Our platform acts as the connective tissue between all enterprise systems, enabling GenAI applications to access the comprehensive data they require to generate truly valuable outputs.”

Rapid Market Traction and Significant Funding

The company‘s approach is resonating with major enterprises. In less than 18 months since its 2023 founding, UnifyApps has secured over $80 million in funding, including a recently announced $50 million Series B round led by WestBridge Capital with participation from ICONIQ and other investors.

This financial backing reflects both market demand and the company’s impressive growth trajectory. UnifyApps has expanded its workforce from 100 to 400 employees in the past year and expects to reach 500 by year-end. More importantly, the company has attracted blue-chip clients including Lowe’s, HDFC Bank, Deutsche Telekom, Belcorp, and the governments of Abu Dhabi and Dubai.

The Competitive Landscape and Scaling Challenge

UnifyApps operates in a increasingly crowded space, competing with established players like Workato and Zapier, as well as emerging platforms such as Airtable, Pipefy, and Newgen. The company also faces potential competition from enterprise software giants like Palantir Technologies, which has deep experience in large-scale data integration.

“The name of the game is speed,” acknowledges Thomas, who previously founded customer experience platform Sprinklr. “Demand currently exceeds supply, so we need to scale our team and platform capabilities rapidly to maintain our leadership position.”

The Future: AI-Native Enterprises and Measurable ROI

Investors and industry leaders see UnifyApps’ approach as foundational to the next generation of enterprise software. “While most organizations are still stuck in experimentation, UnifyApps helps them scale real AI across workflows – securely, with strong governance, and with measurable ROI,” says WestBridge partner Rishit Desai., as related article

Thomas envisions a near future where enterprises become “AI-native” in their operations. “We’re witnessing the same inflection point we saw with the internet’s rise. Every piece of software, workflow, and process will be reinvented with AI at the core, and platforms like ours make that transformation possible by solving the fundamental data accessibility challenge.”

As enterprises continue to grapple with turning their AI investments into bottom-line results, the success of horizontal integration platforms may determine whether generative AI becomes another overhyped technology or the transformative force its proponents promise.