Agentic AI – autonomous “AI agents” that can perceive, reason, and act – is quickly becoming the next big thing in enterprise tech. Gartner predicts that by 2028, 33% of all enterprise software will include agentic AI, up from under 1% in 2024. In fact, Gartner named agentic AI the #1 strategic tech trend for 2025, as businesses look beyond simple chatbots to AI that takes action. Companies across the USA are racing to build general-purpose agentic AI platforms that automate complex tasks across industries from global tech giants to cutting-edge startups.
In this article, we’ll highlight the top 10 US-based companies leading the charge in agentic AI development. These companies are building platforms and tools that let AI agents plan, decide, and execute tasks autonomously. We’ll see how each stands out, what they’re working on, and real examples of their agentic AI in action.
What is Agentic AI?
Agentic AI is a kind of smart system that can make decisions and act on its own, with only minimal human guidance. It doesn’t wait for step-by-step instructions. Instead, it figures out what needs to happen, plans how to do it, and carries out tasks across tools or software systems.
Under the hood, AI agents break tasks into pieces and use different “agents” (mini-modules). Some agents gather data, trigger actions (like calling APIs or accessing databases), and others check results. These agents cooperate, learn from feedback, and improve over time – so the whole system becomes more capable and reliable.
Key benefits of partnering with an agentic AI development company
Agentic AI is expected to reshape millions of jobs before 2030. Companies that work with experienced development partners gain a strong edge.
Benefits include:
- Catalyst for innovation: Agents handle routine work so employees can focus on creative ideas and problem-solving.
- Strategic edge: Always-available support improves customer experience and builds competitive advantage.
- Efficiency and productivity: Agents automate workflows across teams, reducing manual effort and boosting output.
- Real-time decision-making: Large data volumes get analyzed instantly, helping leaders take fast, informed actions.
- Scalability and flexibility: Systems expand smoothly as data and operations grow.
- Cost savings: Streamlined processes reduce overhead and resource waste.
- Security and risk management: Trusted providers implement compliance standards and rapid response measures.
Top 10 agentic AI development companies in 2025
1. Xavor
Xavor provides full robotics development, AI, and embedded systems for real-world applications. Their robotics work includes projects in healthcare and elder care.
One notable project: Xavor’s engineering team assembled two “Rui” social companion robots in a single month. Rui aims to assist dementia care by monitoring routines, tracking emotional states, giving reminders, and sending updates to caregivers.
Key services
- End-to-end robotics design and intelligent system integration
- Agentic AI and task automation development
- Embedded system and mechatronics engineering
- AI and perception (vision, sensors) for robotics
- Hardware-software coordination and firmware development
Highlight: Xavor sees Rui not just as an experimental robot but as a working companion for the elderly. Their speed of design and manufacturing, especially using global coordination, shows they can move from concept to prototype quickly. They also outline care companion and mobility robot work that includes fall detection, mood analysis, and adaptive recovery planning as part of their geriatric robotics vision.
Contact information
Website: https://www.xavor.com/
Email: [email protected]
Phone: +1949-264-1472
Address: 2211 Michelson Drive, Suite 900, Irvine, CA 92612
LinkedIn: https://www.linkedin.com/company/xavor/
2. Entrans
Entrans is a global AI engineering and consulting company with a strong focus on building custom agentic platforms. The company created Thunai, an AI system that turns organizational knowledge into working agents capable of managing sales, marketing, and support workflows. Thunai reached enterprise deployment in under six months, making Entrans a proven leader in fast delivery.
Key services
- Agentic AI services: building custom agents for workflows and real-time decision-making.
- Generative AI solutions: chatbots, voice agents, and multimodal processing.
- Product engineering: design, testing, and lifecycle management.
- Software testing: functional, regression, and AI-led edge-case testing.
- Security and compliance: GDPR and HIPAA alignment.
- Ongoing support: post-launch scaling and monitoring.
Highlight: Thunai includes advanced features like voice, chat, and application agents, plus a multimodal learning engine and self-learning orchestration. It supports on-premises deployments and integrations with CRM, helpdesk, and project tools.
3. Microsoft
Microsoft has embedded agentic AI across its cloud and productivity platforms. Its Copilot ecosystem and Azure AI Foundry give enterprises tools to design, test, and scale intelligent agents. With GitHub Copilot, Microsoft extends agentic capabilities into developer workflows, automating tasks like bug fixes, code reviews, and test generation.
Key services
- Azure AI Foundry: design, deploy, and manage multi-agent systems.
- Copilot and Copilot Studio: create business-specific agents with internal data.
- GitHub Copilot: build and refactor code with autonomous agents.
- Microsoft Discovery and enterprise analytics tools.
- Security and compliance aligned with enterprise standards.
- Support for hybrid and global deployments.
Highlight: Microsoft’s strength lies in connecting agents directly into tools already used daily like Office, Dynamics, GitHub, and Teams. This seamless integration helps organizations adopt agentic AI faster and at scale.
4. Google
Google combines powerful infrastructure with deep research through DeepMind. It offers Gemini agents and Vertex AI, which allow developers to design and scale advanced agent systems. Experimental projects like Astra and Mariner showcase Google’s commitment to pushing agentic AI into practical business and consumer use cases.
Key services
- Gemini agents for reasoning and business analytics.
- Vertex AI for enterprise AI deployment.
- Project Astra for assistant-style agents.
- Project Mariner for browser-based automation.
- AI-driven business analytics with real-time insights.
- Integration with Google Cloud security and infrastructure.
Highlight: Google’s unique advantage is the combination of cutting-edge research and practical enterprise solutions. With DeepMind shaping future-ready models, Google ensures its agentic AI is both advanced and business-focused.
5. Anthropic
Anthropic is known for its Claude family of models, designed to deliver safe and transparent agentic AI. Its approach, called “constitutional AI,” ensures agents follow clear guidelines aligned with human values and compliance needs. Anthropic appeals to organizations that prioritize both performance and responsible AI use.
Key services
- Claude AI models (Opus, Sonnet, Haiku) with strong reasoning.
- API-based agent development for coding, browsing, and tasks.
- Constitutional AI guardrails for transparent decision-making.
- Enterprise integration with collaboration tools.
- Developer support and documentation.
- Security practices tailored for sensitive industries.
Highlight: Anthropic sets itself apart with safety and reliability. Its AI agents adapt to complex tasks while staying within ethical boundaries, which makes them a preferred choice for finance, healthcare, and government.
6. UiPath
UiPath built its reputation in robotic process automation (RPA) and now extends it with agentic AI. It combines structured task automation with intelligent decision-making, creating flexible agents that operate across different functions. Enterprises use UiPath to manage both repetitive and dynamic workflows.
Key services
- RPA-powered agentic AI solutions.
- Real-time analytics and insights.
- Workflow orchestration for structured and unstructured tasks.
- Open architecture for easy integration.
- Robust governance and compliance tools.
- Training and support for both technical and business teams.
Highlight: UiPath helps organizations transition smoothly from legacy automation into full agentic systems. Its platform remains accessible for non-technical users while maintaining enterprise-grade governance.
7. OpenAI
OpenAI extends its reach into agentic systems through its Agents SDK and ChatGPT Agent. These tools let developers build domain-specific agents that can plan, act, and improve through feedback. Companies adopt OpenAI tools to move beyond chat into automation across workflows and applications.
Key services
- OpenAI Agents SDK for custom development.
- ChatGPT Agent for autonomous task execution.
- Model integrations for multimodal AI.
- Handoffs, guardrails, and workflows for enterprise-grade agents.
- Secure APIs for business deployments.
- Ongoing updates to developer tools.
Highlight: OpenAI’s advantage lies in flexibility. Its tools allow enterprises to prototype agents quickly and adapt them for customer service, sales, or knowledge management.
8. Nvidia
Nvidia is a leader in agentic AI infrastructure. Its Omniverse platform allows businesses to simulate and train agents in realistic environments, while its GPUs provide the computing backbone for large-scale deployments. Nvidia agents support industries like logistics, finance, and engineering.
Key services
- Omniverse for agent simulation and training.
- High-performance compute for enterprise agents.
- Custom agent development with multimodal capabilities.
- Data analysis for real-time insights.
- End-to-end prototyping and deployment services.
- AI support for regulated industries.
Highlight: Nvidia offers unmatched performance for organizations handling massive datasets. Its infrastructure powers some of the most complex agentic AI projects in the world.
9. Intuit
Intuit leads in applying agentic AI to finance and small business management. Its QuickBooks platform uses AI agents for bookkeeping, reconciliation, and categorization, while Intuit Assist acts as a personalized financial guide for users.
Key services
- AI agents for accounting and finance automation.
- Intuit Assist for personalized financial insights.
- GenOS platform for autonomous planning and reasoning.
- Real-time integration with banking and tax systems.
- Tailored solutions for small businesses.
- Compliance and security for financial data.
Highlight: Intuit dominates its niche by embedding AI agents directly into widely used financial products. Its domain expertise makes its solutions highly practical.
10. Moveworks
Moveworks builds enterprise assistants designed for employee support. Its AI agents handle IT requests, HR processes, and workflow automation across large organizations. Moveworks is one of the few agentic AI companies listed in the FedRAMP marketplace.
Key services
- AI assistant for IT and HR requests.
- Workflow automation across enterprise tools.
- Multilingual support in over 100 languages.
- AI security and compliance for global standards.
- Agent orchestration for large enterprises.
- Ongoing support and training.
Highlight: Moveworks specializes in employee productivity. Its agents reduce work and provide secure, scalable solutions that fit into complex enterprise systems.
How to choose the right agentic AI development company
When selecting a partner, keep these factors in mind:
- Business needs: Clarify what operations you want automated.
- Experience: Ask for case studies and client examples.
- Technical expertise: Look for skills in LLMs, APIs, and agent orchestration.
- Methodology: Agile, iterative approaches give faster results.
- Support: Ensure post-launch training, monitoring, and updates.
- Compliance: Check alignment with GDPR, HIPAA, and internal policies.
- Pricing: Choose companies with transparent cost structures.
Future trends of agentic AI
According to Gartner, agentic AI stands out as the top technology trend that will shape the coming years. The field is moving fast, and several patterns show where it is heading. Companies are no longer treating it as an experiment but as a core part of their digital plans.
- Platforms taking center stage: Tech giants are building full systems that make it easier to create and manage AI agents.
- Teams of agents: Instead of one big model, many smaller agents will work together, each with its own role.
- Tailored for industries: Healthcare, retail, finance, and other fields will get agents built for their unique needs.
- Stronger connections: Agents will plug into business systems more deeply, so they can handle end-to-end workflows.
- Clear rules and safety: Companies will increase monitoring and record-keeping to make AI decisions more transparent.
- Working side by side with people: Agents will handle routine and data-heavy work, while humans focus on judgment, strategy, and creativity.
Conclusion
Agentic AI is moving from theory into action. Companies around the world are already using it to improve customer service, streamline operations, and open doors to new opportunities. The future belongs to organizations that know how to put agentic AI to work in ways that deliver real value.
Xavor brings a fresh edge to this movement. With deep expertise in AI, enterprise systems, and robotics, we design agents that solve everyday problems. If you are ready to explore what agentic AI can do for your business, reach out to Xavor at [email protected] and let’s create something meaningful together.
