At UnifyApps, we are shifting how enterprises think about building software in the AI era. We're recognizing that much of what was built before AI will need to be reimagined, adapted, or entirely rebuilt to operate in a world where intelligence is embedded into every workflow. Hear our CEO, Ragy Thomas, explain why this shift mirrors the transition to the web, but at a much greater scale. Enterprises are rethinking hundreds of applications, workflows, and processes that must now work together seamlessly in an AI-driven environment. This is why we built UnifyApps as an AI Operating System for the enterprise. A platform designed to help organizations become truly AI-Native by enabling them to build applications, orchestrate workflows, deploy AI agents, and unify data across fragmented systems in a governed, production-grade environment. Because becoming AI-Native is about transforming how the entire enterprise builds and operates. #EnterpriseAI #AINative #AgenticAI #UnifyApps
UnifyApps
Software Development
New York , NY 30,532 followers
The AI Agent and App Builder Platform for the Enterprise
About us
UnifyApps is the AI Agent and App Builder Platform for the Enterprise that empowers organizations to transform into AI-Native enterprises. Its AI OS architecture and horizontal platform connects systems of record, knowledge, and activity, enabling enterprises to turn stalled GenAI pilots into scalable, production-grade solutions. With hundreds of pre-built integrations and an LLM-agnostic design, UnifyApps helps enterprises operationalize AI securely and confidently.
- Website
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www.unifyapps.com
External link for UnifyApps
- Industry
- Software Development
- Company size
- 201-500 employees
- Headquarters
- New York , NY
- Type
- Privately Held
- Founded
- 2023
- Specialties
- Integration, Workflow Automation, No Code Applications, Generative AI, AI Copilot, Citizen Development, Connector SDK, API platform, Reverse ELT, ELT, Agentic AI, AI agents, and iPaaS
Locations
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Primary
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New York , NY, US
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Gurugram, IN
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Dubai, AE
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Hyderabad, IN
Employees at UnifyApps
Updates
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Scaling AI takes more than a successful pilot. Join Roland Boulos, VP of GTM at UnifyApps, as he shares insights on how organizations can move beyond experimentation and start scaling AI across the business. If you’re thinking about how to turn GenAI initiatives into real business outcomes, this session is worth a spot on your calendar. Beyond Pilots: Architecting the AI-Native Organization Wednesday, April 22 Time: 10:00 AM ET Save your spot here: https://lnkd.in/gbGyVbCs #AI #EnterpriseAI #GenAI #AIOperatingSystem #DigitalTransformation #AITransformation
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Enterprise systems today are designed to move information faster and coordinate work across teams. But even as technology has advanced, humans still carry the burden of interpreting context, making decisions, and driving execution. We’re now seeing what changes when that model shifts. In large-scale telecom environments, embedding AI directly into workflows has led to outcomes like 32% better on-time delivery—not by accelerating individual work, but by allowing systems to coordinate and execute across processes. AI systems can increasingly reason, coordinate, and act across workflows, shifting the role of humans away from managing processes and toward setting direction, defining guardrails, and handling exceptions. Most enterprises are still structured for the Digital Era while trying to adopt Cognitive Era capabilities, and bridging that gap will define the next phase of enterprise transformation. #EnterpriseAI #AINative #FutureOfWork
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Over the past two decades, enterprises have optimized for speed and coordination. Systems move information faster, but humans still stitch together context, make decisions, and drive execution. AI is now exposing the limits of that model. Intelligence is being added, but the structure hasn’t changed. We’re starting to see what happens when it does. In large-scale telecom environments, embedding intelligence into workflows has driven outcomes like 32% better on-time delivery—not by making people faster, but by letting systems execute without constant handoffs. This is the gap between digital and AI-Native. Productivity improves, but work still flows through human bottlenecks. Real transformation begins when intelligence is embedded into the system, and decisions can happen within defined boundaries. #EnterpriseAI #AINative #DigitalTransformation
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We’re heading to the Millennium Alliance Group CIO Transformation Assembly this week to connect with enterprise leaders navigating the next phase of transformation. Most organizations have already made significant progress in the digital era. They’ve modernized systems, moved to the cloud, and optimized for speed and coordination. The next step is the transition to the cognitive era, where systems don’t just support work, but reason and act within it. This shift requires rethinking how decisions are made and where responsibility sits between humans and systems. If you’re attending, we’d love to connect and hear how your organization is approaching this shift from the digital era to the cognitive era. #EnterpriseAI #CIO #AINative #DigitalTransformation
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Join Roland Boulos, VP, GTM at UnifyApps, who will share insights on how organizations can move beyond GenAI pilots and scale AI across the business. If you're exploring how to turn AI experiments into real business impact, this is a webinar you won’t want to miss. Join us: Beyond Pilots: Architecting the AI-Native Organization 📅 Wednesday, April 22 ⏰ Time: 10:00 AM ET Register below. #EnterpriseAI #GenAI #AIOperatingSystem #DigitalTransformation #AITransformation
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Most enterprise AI investments don’t fail outright. They get funded, move into pilot, and produce genuinely impressive proof-of-concept demos. But they never translate into measurable business value. MIT researchers call this “pilot purgatory,” and it’s where the majority of AI initiatives currently live. The usual explanation is that AI is still too early or too hard. That answer is convenient, but it doesn’t hold up. The organizations that have successfully moved to production-scale AI aren’t relying on fundamentally different models. They’ve built something different underneath the model that allows it to operate in real business conditions. If you’re seeing strong pilots but no P&L impact, the problem likely isn’t the intelligence. It’s the system supporting it. We break down what’s actually going wrong and how to diagnose it on our blog: https://loom.ly/xiHw7m0 #EnterpriseAI #AIOperatingSystem #AIAgents #AINative
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Finance teams struggle because the systems around the work were never designed to operate together. A Fortune 50 retailer took a different approach. Instead of continuing to layer on point automations, they built a unified, AI-Native foundation with UnifyApps. The result was 50,000 hours saved annually, faster decision cycles, and a measurable shift in analyst capacity toward higher-value work. If you’re thinking about how to move beyond fragmented finance operations and actually scale AI across workflows, this case study breaks down what that transformation looks like in practice. #EnterpriseAI #AINative #AgenticAI #CaseStudy
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Too often, promising initiatives get stuck in pilot mode because teams lack a practical way to prioritize use cases, align stakeholders, and connect experimentation to measurable business value. At the The Millennium Alliance CIO Summit in Miami on April 8-9, Waseem Bhatti, Principal Solutions Architect at UnifyApps, will lead the “Escaping Pilot Purgatory: A CIO Framework for Prioritizing AI Use Cases in Real Time” workshop. The session will focus on how enterprise leaders can evaluate AI opportunities based on business impact, feasibility, and time to value, while building the architectural foundation needed to scale beyond isolated pilots. Attendees will leave with a practical framework they can apply immediately to identify high-value opportunities, eliminate low-impact initiatives, and create momentum toward production-grade AI. If you’re attending the summit, join us to see how UnifyApps is helping enterprises move from fragmented experimentation to governed, scalable AI execution. #EnterpriseAI #CIO #DigitalTransformation #AgenticAI #AIOperatingSystem #MillenniumCIO
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What’s the simplest way to tell whether AI adoption is actually transforming your organization or just improving productivity? Ask one question: is AI making your teams faster at doing the same work, or is it enabling the organization to operate in ways that weren’t possible before? That distinction matters more than any maturity model because it reveals whether AI is changing the system or just accelerating it. We’ve seen what happens when that shift is made. In one deployment, trade license renewals dropped to under 5 minutes because the system could execute end-to-end without waiting on human coordination. In many cases, the gains are real but limited. Work still waits for approvals, context still has to be assembled, and decisions still depend on human validation. AI speeds up each step, but the structure remains intact. Transformation begins when those constraints are removed, not just optimized. #EnterpriseAI #AINative #AgenticAI