Business Description

Overview First established in Bucharest, Romania in 2005, UiPath was incorporated in Delaware in 2015 as a company principally focused on building and managing automations, starting with computer vision technology and user interface automations in our initial RPA offering, which remains the foundation of our platform today. Over the course of the past several years, we have followed a strategy of leveraging advances in AI to broaden our capabilities. Building upon decades of leadership in automation, UiPath is pioneering the evolution from rule-based automation to intelligent agentic automation. The UiPath Platform™ uniquely combines controlled agency, developer flexibility, and seamless integration to help organizations scale agentic automation safely and confidently. Committed to security, governance, and interoperability, we support enterprises as they transition into a future where automation delivers on the full potential of AI to transform industries. Our platform empowers customers to combine automation, AI agents, and people, delivering end-to-end process orchestration that drives innovation. Trends Shaping Our Industry The following are key trends affecting our industry, business outlook, and product strategy: AI necessitates reinvention . AI's disruptions compel organizations to make bold changes in how they operate, compete, and allocate work. It's now clear that agent-centric operating models can dramatically outperform traditional ways of working— making it imperative for enterprises to reinvent themselves as agentic organizations. The agentic era marks a radical redivision of labor between people and virtual workers. AI agents are extending automation into high-value, judgment-based processes such as decision making and risk management— creating new opportunities, including the ability to build software internally that would have otherwise been purchased. At the same time, use of AI agents creates new risks that call for strong oversight and control. This requires adopting new operating systems built for orchestration, governance, and continuous optimization across an increasingly autonomous and interconnected digital enterprise. ROI at last . Enterprises find their path from pilots to payout. Organizations are approaching the future with momentum and a mandate: use the lessons learned in 2025 to make agentic programs deliver. Budgets are rising, confidence is high, and the experiences of the past year have brought organizations far up the learning curve. As the focus shifts from experimentation to execution, a new playbook for agentic payoff brings ROI within reach, and investment continues, there's an increasing focus on performance and impact. As enterprises move from pilot to production, agentic initiatives need to show proof of their scalability, efficiency, and business value. Vertical ascent . 8 Table of Contents Focused agentic solutions take off and fly high. This year, vertical agentic solutions continue their growth trajectory— covering more domains and enjoying broader adoption. Domain-tuned, tested, and integration-friendly, these configurations of agents, automation, models, and workflows offer quick deployment, measurable outcomes, and a reliable and effective pathway to scale. The best vertical solutions include all the prebuilt elements and capabilities required for deployment, integration, and ongoing production, and are also highly configurable, making it possible for enterprises to use their own data and models and adapt guardrails to their particular regulatory, security, and reporting standards. Enter the command center . Organizations take control over agentic operations by centralizing orchestration, governance, and agent management. It has become increasingly clear that organizations' adoption of AI in all its forms has advanced faster than their ability to govern, manage, and orchestrate it. The adoption of multi-agent systems adds yet more complexity, as these systems require sophisticated orchestration capabilities to direct, integrate, and monitor highly autonomous agents across systems, data, and workflows. As agentic automation extends across their core processes, many organizations are establishing a new operational layer— an agentic command center— to centralize and integrate governance, control, and orchestration. Gloves off, guardrails up . Enterprises act decisively to ensure security, transparency, and control for every AI agent and agentic workflow.…