Enterprises have spent decades becoming digital. Now, they must become AI-native. UnifyApps, the company building the Enterprise Operating System for AI, today announced a $50 million Series B led by WestBridge Capital with participation from ICONIQ and others. The new capital brings UnifyApps’ total funding to $81 million and marks a new phase of scale with Ragy Thomas, joining as Chairman and Co-CEO, alongside existing co-founder and CEO Pavitar Singh.
Enterprises have poured millions into GenAI pilots, yet most can’t scale them. Today’s LLMs can’t connect to the siloed systems of record and knowledge to find the right data or to systems of activity to make work happen. Vertical and use-case-specific AI applications remain isolated, each requiring its own integrations across the enterprise—creating costly AI sprawl and stalled outcomes. This challenge results in a 95% failure rate for enterprise AI solutions. UnifyApps closes this gap with an LLM-agnostic, AI-native architecture that unifies systems of knowledge, record, and activity through a low-code/no-code workflow and UI builder—turning fragmented experiments into scalable, production-grade AI.
UnifyApps connects systems of record, knowledge, and activity across the enterprise. It unifies data from platforms like Salesforce, Workday, and corporate intranets, applies the right AI models and ontologies, and acts within the tools employees already use. This closed-loop approach links data, intelligence, and execution—turning fragmented GenAI pilots into scalable business outcomes.
Designed with its Six-Layer Enterprise AI Architecture, UnifyApps brings together system integration, data and ontology management, workflow automation, application experience, and autonomous agent deployment. Companies including HDFC Bank, Deutsche Telekom, Contentstack, Belcorp, Sirion Labs, WalkMe, Air Arabia, Liva Insurance, as well as the Abu Dhabi Government and Dubai Government are using UnifyApps to unify data and accelerate AI adoption. The platform gives CIOs a secure, efficient, and scalable way to embed AI across business processes and lead their organizations into the AI-native era.
New Co-CEO Ragy Thomas brings more than 25 years of enterprise software leadership across industries with deep expertise in CIO relationships, compliance, security, and SaaS operations.
With this new funding, the company will expand the team and European presence, accelerate platform development, and deepen integrations across enterprise technologies while building a catalog of pre-built applications. UnifyApps’ vision extends beyond technology—it’s about enabling enterprises to become living, learning systems. Just as the digital era reshaped every process, the AI-native era will redefine how organizations think, act, and evolve.
UnifyApps’ momentum underscores that shift. The company has grown revenue more than 600% year over year and serves global enterprises across retail, banking, travel, telecom, healthcare, public sector, and technology industries. Customers are using its platform to automate HR operations, streamline claims processing, optimize supply chains, and reimagine customer engagement—achieving measurable efficiency gains within months of deployment.
Being AI-native isn’t a feature, it’s fundamental to surviving in the AI-era. UnifyApps believes enterprises that evolve with AI will not just automate tasks but also reinvent how they create value, govern systems, and engage the world around them.
SOCRadar Serves Up The Top 10 AI Deepfake Detection Tools to Combat Digital Deception in 2025
Posted in Commentary with tags SOCRadar on October 22, 2025 by itnerdDeepfake technology is increasingly being used in sophisticated fraud schemes, making it harder for individuals and businesses to distinguish real from fake. Scammers have used AI-generated voices to impersonate executives, leading to financial losses, while cybercriminals exploit deepfakes for identity theft and phishing attacks. Manipulated videos and AI-generated speeches can also be used to spread false information, particularly during elections or political events. With social media accelerating the spread of digital content, ensuring that news organizations and platforms can verify the authenticity of videos and images is more important than ever.
Businesses that rely on voice authentication and digital verification must now implement detection tools to protect sensitive data and prevent fraud. In industries such as banking, law enforcement, and cybersecurity, deepfake detection is crucial for preventing unauthorized access and maintaining secure authentication systems.
As a result, many organizations now use AI-powered tools to analyze biometric data, verify identities, and detect synthetic media before it can cause harm. As deepfake technology advances, having reliable detection solutions will be essential for maintaining trust and security in an increasingly AI-driven world.
Researchers at threat intelligence cybersecurity company SOCRadar have published a list of Top 10 AI Deepfake Detection Tools to Combat Digital Deception in 2025. This is worth your time to read.
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