---
title: UnifyApps Raises $50m to Clean Up Enterprise AI’s $40bn Graveyard
description: UnifyApps raises $50 million Series B to build an enterprise AI operating system that tames AI sprawl. With Ragy Thomas onboard it targets 95% pilot failures.
author: Darie Nani (Editor-in-Chief)
date: 2025-10-22T11:04:29.000Z
updated: 2026-05-18T11:32:13.557Z
canonical: https://www.sovereignmagazine.com/article/unifyapps-raises-50m-to-clean-up-enterprise-ai-s-40bn-graveyard
image: https://cdn.nanimediahouse.com/Unifyapps.png
categories: Startups
content_type: News
region: New York
publication: Sovereign Magazine
about:
  - type: Organization
    name: UnifyApps
    description: "UnifyApps is the Enterprise Operating System for AI that empowers organizations to transform into AI-native enterprises. Its horizontal platform connects systems of record, knowledge, and activity, enabling enterprises to find data, think with AI models, and act within business workflows—turning stalled GenAI pilots into scalable, production-grade solutions. With thousands of pre-built integrations and an LLM-agnostic design, UnifyApps helps enterprises operationalize AI securely and confidently. Founded in 2023 and backed by WestBridge Capital, ICONIQ, and Elevation Capital, UnifyApps is headquartered in New York with a presence across the Americas, EMEA, and India.\n\nLearn more at www.unifyapps.com or follow UnifyApps on LinkedIn ."
    url: https://www.unifyapps.com/
---

Enterprises have spent between $30 billion and $40 billion on generative AI pilots. According to [MIT research published in August](https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/), 95% of them have failed to deliver measurable financial returns. That’s not a rounding error. That’s a graveyard.

Now [UnifyApps](#about-unifyapps), a New York-based enterprise AI platform founded just two years ago, has raised $50 million in Series B funding led by [WestBridge Capital](https://westbridgecap.com/) to solve what it believes is the core problem: enterprises don’t need more AI applications creating sprawl, they need an operating system layer that unifies fragmented systems. Total funding now stands at $81 million, and the company has made a significant bet on credibility by bringing Ragy Thomas on board as Chairman and Co-CEO alongside founder Pavitar Singh.

Thomas isn’t a hired gun advisor. He’s the founder who built [Sprinklr from his spare bedroom in 2009](https://www.forbes.com/sites/martyswant/2021/06/24/on-second-day-of-trading-sprinklrs-stock-price-makes-its-founder-and-ceo-a-new-billionaire/) into a company that went public on the NYSE in 2021 with a market capitalisation hovering around $5 billion. Sprinklr serves more than half the Fortune 100 with its unified customer experience platform. When someone with that track record joins a startup as co-CEO rather than taking an advisory seat, it signals something beyond a typical funding round.

## Why Would a Billionaire Founder Bet on a Two-Year-Old Startup?

Thomas has already done the exit. Sprinklr made him a billionaire. He could write cheques as an angel investor and play golf. Instead, he’s taking an operational role at UnifyApps, which suggests he sees something structural happening in enterprise software that mirrors the internet era.

‘The next decade will belong to [AI-native enterprises](https://www.sovereignmagazine.com/article/why-andreessen-horowitz-just-bet-29-5m-on-stuut-s-3-day-software-deployments),’ Thomas said in a statement. ‘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](https://www.sovereignmagazine.com/article/how-pave-bank-reached-profitability-in-seven-months-and-raised-39-million) that makes that transformation possible.’

That comparison to the internet isn’t throwaway marketing language. In the late 1990s and early 2000s, enterprises spent billions becoming ‘digital’. They bought CRM systems, ERP platforms, marketing automation tools. Each solved a problem, but each also created a new silo. Sprinklr’s success came from unifying those customer experience silos before ‘unified’ became trendy. Thomas is betting the AI-native era requires the same architectural rethinking, but at a more foundational level.

## Why 95% of AI Pilots Die Before Production

MIT’s report, titled ‘The GenAI Divide: State of AI in Business 2025’, analysed 300 public AI deployments, conducted 150 executive interviews and surveyed 350 employees. Only 5% of enterprise GenAI pilots succeed in delivering rapid revenue growth and scaling beyond experimentation.

The failure reasons aren’t about the quality of large language models. [According to Forbes analysis of the MIT research](https://www.forbes.com/sites/andreahill/2025/08/21/why-95-of-ai-pilots-fail-and-what-business-leaders-should-do-instead/), the problems are organisational and architectural. AI systems can’t connect to siloed systems like Salesforce and Workday. They can’t access knowledge buried in corporate intranets. They can’t act within the tools where employees actually work. Each vertical AI application requires its own integrations across the enterprise, creating what industry observers call ‘AI sprawl’.

Companies can demo impressive AI capabilities in controlled environments. Scaling those demos to production systems that touch real customer data, [integrate with legacy infrastructure](https://www.sovereignmagazine.com/article/auctor-20m-sequoia-system-integrators) and comply with security requirements is where most initiatives die. The $30 billion to $40 billion figure represents money spent on experiments that never became operational.

The MIT research found that vendor-led projects have significantly higher success rates than internal builds. Companies that partner with specialised vendors and focus on well-defined pain points are more likely to get AI pilots into production. The [integration challenge remains the primary bottleneck](/category/businessone-sap-field-change-three-days-six-figures-refold-bets-agents-can-end-the-integration-tax/).

## The Operating System Thesis

UnifyApps’ core argument is that enterprises need infrastructure, not more applications. The company has built what it calls a six-layer architecture that connects systems of record (Salesforce, Workday), systems of knowledge (intranets, documents) and systems of activity (where work actually happens). The platform is LLM-agnostic, meaning it works with any AI model rather than locking customers into a single vendor’s technology.

The low-code/no-code workflow builder is designed for CIOs who need governance and security controls but don’t want to wait months for IT to build custom integrations. According to the company, this approach has driven 600% revenue growth year over year, with customers including Lowe’s, HDFC Bank, Deutsche Telekom and the governments of Abu Dhabi and Dubai.

Pavitar Singh, UnifyApps’ co-founder and co-CEO, pointed to a specific use case: ‘With a Fortune 50 retailer, we integrated UnifyApps’ no-code platform and deep data connectivity, enabling intelligent automation across store operations, supply chain, merchandising, finance and support. UnifyApps has [accelerated GenAI and agentic AI deployment cycles](https://www.sovereignmagazine.com/article/kaizen-raises-21m-to-challenge-gov-tech-incumbents-as-federal-spending-opens-up) from months to days.’

Months to days is the kind of efficiency gain that justifies a $50 million Series B. If accurate, it addresses the core economics of the 95% failure rate: most companies can’t afford to spend months integrating each AI pilot, only to discover it doesn’t work at scale.

## Why WestBridge Wrote the Cheque

WestBridge Capital manages more than $7 billion in assets and [raised $1.5 billion in 2024](https://www.moneycontrol.com/news/business/startup/exclusive-westbridge-capital-raises-1-5-billion-in-largest-ever-commitment-for-indian-companies-8860441.html) specifically for investments in Indian companies across consumer technology, SaaS and fintech. The firm operates an evergreen fund structure, which means it can support companies through multiple cycles without the pressure of a typical venture fund’s 10-year timeline.

Rishit Desai, Partner at WestBridge Capital, framed the investment around infrastructure: ‘UnifyApps has built the foundational platform for [agentic AI adoption in the enterprise](https://www.sovereignmagazine.com/article/dust-ai-40m-series-b-enterprise-platform). While most organisations 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.’

WestBridge has made 42 investments in enterprise applications and has backed eight unicorns and numerous soonicorns in the Indian technology sector. UnifyApps, founded in 2023, fits the firm’s pattern of backing India-US enterprise software companies with technical talent in India and go-to-market operations in the United States. The firm’s participation signals patient capital willing to support a multi-year build in a market where most AI startups are chasing quick revenue.

ICONIQ Growth, which led UnifyApps’ $20 million Series A in November 2024, also participated in this round. ICONIQ typically backs companies with strong product-market fit and repeatable sales motions, which suggests UnifyApps has demonstrated traction beyond pilot customers.

## AI-Native Architecture vs Digital Transformation

[Research from Bain & Company](https://www.bain.com/insights/building-the-foundation-for-agentic-ai-technology-report-2025/) distinguishes AI-native architecture from bolting AI features onto existing digital infrastructure. AI-native means designing enterprise IT systems from the ground up with AI agents as integral components, enabling autonomous AI agents to interact with business capabilities in real time through modular, interoperable and secure frameworks.

The infrastructure layer provides the compute, storage, network and cloud resources required for scalable operation of AI agents. Because AI agents are autonomous, this layer demands capabilities like agent-to-agent communication protocols, self-learning systems and self-healing infrastructure. Companies that embed [AI as a core operating system](https://www.sovereignmagazine.com/article/enterprise-ai-race-intensifies-as-ibm-partners-with-anthropic-to-embed-claude-in-business-sof) rather than adding it as a feature show measurably better outcomes in early deployments.

Whether UnifyApps has built the right infrastructure remains an open question. Competitors include Workato, MuleSoft, SnapLogic and cloud providers like AWS and Microsoft Azure, all offering various approaches to enterprise AI integration. The market is crowded, and the 95% failure rate applies to infrastructure vendors as much as application builders.

## What $50 Million Buys

The new capital will fund European expansion, deeper integrations across enterprise technologies and a catalogue of pre-built applications. Thomas brings CIO relationships and enterprise sales expertise, which matters more than advisory input. His role is go-to-market execution, not just lending his name to the cap table.

UnifyApps plans to [expand its team and accelerate platform development](https://www.sovereignmagazine.com/article/seven-hundred-basis-points-how-pibit-ai-is-turning-an-insurance-talent-crisis-into-profit). For a company founded in 2023, reaching $81 million in total funding while maintaining 600% year-over-year revenue growth suggests aggressive scaling. The question is whether the company can maintain that growth rate while expanding into Europe, where enterprise sales cycles are longer and regulatory requirements more complex.

## Can Infrastructure Succeed Where Applications Failed?

The bet UnifyApps is making is that the $30 billion to $40 billion spent on failed AI pilots represents demand for a different approach rather than proof that enterprise AI doesn’t work. Thomas has done this before with unified customer experience, but AI-native architecture is a bigger task than social media management.

For CIOs drowning in AI pilots that go nowhere, the question isn’t whether they need help. The question is whether an operating system layer actually solves the integration problem or just adds another vendor to manage. The MIT research shows companies that partner with specialised vendors and focus on measurable outcomes have better success rates. UnifyApps is positioning itself as that specialised vendor.

UnifyApps has raised $81 million. WestBridge just committed $1.5 billion to Indian technology companies and chose UnifyApps as a flagship bet. Thomas is putting his reputation on the line after a successful exit. If the 95% failure rate holds, UnifyApps faces the same odds as everyone else. If the company can demonstrably move enterprises from pilot to production at scale, it could define what AI-native infrastructure actually means.

The graveyard is real. Whether UnifyApps becomes the gravedigger or just another headstone will depend on execution, not thesis. Thomas knows how to build enterprise software companies. The market will determine whether his timing is right.

**About UnifyApps**

UnifyApps is the Enterprise Operating System for AI that empowers organizations to transform into AI-native enterprises. Its horizontal platform connects systems of record, knowledge, and activity, enabling enterprises to find data, think with AI models, and act within business workflows—turning stalled GenAI pilots into scalable, production-grade solutions. With thousands of pre-built integrations and an LLM-agnostic design, UnifyApps helps enterprises operationalize AI securely and confidently. Founded in 2023 and backed by WestBridge Capital, ICONIQ, and Elevation Capital, UnifyApps is headquartered in New York with a presence across the Americas, EMEA, and India.

Learn more at www.unifyapps.com or follow UnifyApps on LinkedIn .

[Website](https://www.unifyapps.com/)