Top 10 Agentic AI Development Companies in 2025

Want your AI to set its own goals, make decisions, and carry them out without constantly waiting for your command? As industries have adapted to automate research and manage tasks end-to-end, organizations are looking for agents that can act like coworkers. Agentic AI was built to solve it - the next level of Artificial Intelligence. Traditional AIs are like calculators, whereas Agentic AI is like a virtual assistant that makes decisions. 

Let’s delve into how Agentic AI is transforming business operations through autonomous task execution and the top 10 companies that have been providing custom agentic AI development services.  

What is Agentic AI?

Agentic AI refers to AI systems that can independently set goals, make decisions, and take actions with minimal human intervention. It operates proactively and autonomously to achieve goals in a complex environment.

It differs from traditional AI and Gen AI. Traditional AI, such as chatbots, responds to prompts, while Generative AI, like ChatGPT,  in producing human-like content. Agentic AI is a combination of many Gen AIs, and it goes beyond Chatbots and Content Generators. In simpler terms, Agentic AI refers to AI that can take action independently.

Key Benefits of Partnering with an Agentic AI Development Company

In this evolving AI world, Agentic AI is poised to reshape over 10 million jobs by 2030 in various sectors. All the sectors are about to foresee a significant change with the Agentic AI development services. Partnering with an Agentic AI Development company offers development services that can enhance decision-making and elevate customer experience. Major benefits include

• Catalyst for Innovation:  Agentic AI takes care of repetitive processes, and thereby, employees are engaged in creative thinking and exploring new ideas. It accelerates innovation by rapid prototyping and testing the ideas. 
• Strategic Edge in Industry: An Agentic AI development company offers 24/7 support to customers and enhances their experience. It provides us with the latest tools to remain ahead in the industry. 
• Improved Efficiency and Productivity: The core advantage of Agentic AI is productivity. Agentic AI automates repetitive tasks and reduces manual work. AI agents manage complex workflows across different teams, which in turn increases efficiency.
• Real-time Decision-making: Agentic AI systems can analyze large volumes of data in real-time and provide us with insights. Decision support tools by Agentic AIs help our leadership identify risks and optimize operations.
• Scalability and flexibility: Be it a small or large volume of data, Agentic AI systems can scale up. These systems can adapt to new information and current market trends. An experienced development AI partner can provide seamless integration with tools like Slack or internal APIs.
• Cost savings: Due to streamlined and automated processes, AI agents reduce operational costs. Agentic AI analyzes the underutilized and overutilized resources and optimizes resource allocation.
• Security and Risk Management: Almost all agentic development companies implement robust security measures and are aligned with the regulations. Whenever a risk is detected, agents give us an instant response and suggestions to minimize threats.

Top Agentic AI Development Companies

We have listed the top 10 Agentic AIs development companies based on their global reach, number of employees, AI services provided by them, and their pricing for AI services.

1. Entrans

Entrans is a global AI engineering and consulting company that specializes in Agentic AI development services. Our product team even built our own AI agent from scratch - Thunai. 

Thunai turns our team’s knowledge into AI agents that act and respond instantly. We have handled big data projects for major market players. It was ranked #1 product of the day on its launch by Product Hunt.

As an Agentic AI Development Company, Entrans provides AI solutions for automation and business transformation, including generative AI consulting, agentic AI consulting, integration, and developing customized solutions.

Key Services of Entrans

• Agentic AI services: Entrans builds custom AI agents that automate workflows, support real-time decision-making, and adapt to enterprise needs.
  
• Generative AI services: Entrans offers custom Generative AI services from AI chatbots, text-to-image/video generations and processing, speech recognition, and synthesis.
  
• Product engineering services: Entrans offers end-to-end services covering the entire product lifecycle. Its offerings include: Product ideation, UI/UX design, product testing, maintenance, and quality assurance.
  
• Software testing: Entrans does functional testing, regression testing, smoke/sanity testing, and AI-led automated testing across all edge-case scenarios.
  
• Security and compliance: We embed advanced encryption and align with compliance standards such as GDPR and HIPAA.
  
• Ongoing support: We provide post-launch support, bug fixes, enhancements, and reconfiguration with the solutions provided.

How Entrans Built Thunai, an AI Agent Platform, from PoC to GTM in Under 6 Months

Thunai is a next-gen Agentic AI platform that was designed to transform organizational knowledge into autonomous AI agents capable of handling customer interactions, workflows, and data-driven tasks across support, sales, and marketing operations. 

We started the development process of Thunai AI on Flutter for its mobile interface and later developed the web-based application on AngularJS. What made it impressive is that after we came up with the idea, we onboarded clients in under 6 months.

Thunai, as an AI agent, uses multimodal learning to process unstructured data like documents, audio, video, and chat transcripts, enabling real-time automation of complex processes. And we also gave it the features below

• AI Voice Agent: It handles inbound calls to 99.9% human accuracy, automatically converting voice interactions into support tickets, CRM entries, or calendar events.
  
• AI Chat and Email Agents: It responds to customer tickets via chat or email and retrieves answers from the knowledge bases, custom ticket workflows, and integrated helpdesk systems.
  
• Application Agent: It converts meeting transcripts into executable workflows that automate content generation, email routing, and task prioritization across tools like Hubspot and LinkedIn. It also allows the automated creation of tickets on Jira using AI agents.
  
• Multimodal Learning Engine: Unlike traditional AI tools, Thunai processes video, audio, slides, and chat transcripts to build context-aware agents.
  
• Self-Learning Knowledge Orchestration: Thunai continuously improves agent performance by analyzing user feedback, interaction outcomes, and ensuring responses align with business goals.
  
• Scalability: Thunai combines granular access controls, on-premises deployment options, and prebuilt integrations with CRM, project management, and communication tools to serve regulated industries like banking and healthcare.

2. Microsoft

Microsoft is a noticeable pioneer in the field of agentic AI. The company is actively transforming various aspects of business operations through AI agents. It primarily focuses on providing AI models through its cloud platform. 

Key Services of Microsoft

• Microsoft’s AI agentic offerings are Copilot, GitHub Copilot, Microsoft Discovery, Azure AI, and Foundry AutoGen.
• Azure AI Foundry Agent service: It is a cloud-based core agent development service to design, test, deploy, and orchestrate a multi-agent system. It works with both open-source models and Microsoft-hosted models.
• Microsoft Copilot and Copilot Studio: It is notable agent products that allow businesses to build custom agents using internal business data. It is a drag-and-drop agent.
• GitHub Copilot agents: It is a subsidiary agent development environment where Copilot can analyze issues, generate and refactor code, write tests, submit requests, and enhance collaboration.

3. Google

Google is a pioneer in Agentic AI services, which offer core infrastructure with powerful agentic AI capabilities. Google DeepMind is a key division of Google offering next-level AI systems and cutting-edge research.

Key Services of Google

• Google offers Gemini agents, Google Unified Security, Project Astra, etc, which provide security and business analytics.
• Google’s AI-driven business analytics tools provide real-time insights for decision-making.
• Projects like Astra act as AI assistants, while project Mariner explores browser agents capable of automating multiple tasks.
• For developers and enterprises, Google provides tools for building AI agents, including Google AI, Vertex AI, and the Gemini API. 

4. Anthropic

Anthropic is a leading developer of AI models, and its strategy centers on building agentic systems that can plan, think, and act autonomously. It ensures safe and transparent reasoning in AI development. Its famous AI model is Claude.

Key Services of Anthropic

• Anthropic’s primary agentic AI offerings are the Claude AI model and its API-based variants, such as Claude Opus4, Sonnet4, and Haiku 3.5
• Claude AI can be used as an extension in an IDE and handles tasks like web browsing and coding. These AI models are designed to handle complex tasks and show improvement in speed and reduce costs.
• Anthropic also focuses on constitutional AI, where the AI systems are guided by a “constitution”. This ensures that the AI system’s actions align with human values and guidelines.

5. UiPath

UiPath is one of the leading companies in agentic AI stream that blends Robotic Process Automation (RPA) with Artificial Intelligence. It started as an RPA vendor and got renamed to UiPath. It is best suited for organizations that are transitioning from traditional RPA to agentic AI.

Key Services of UiPath

• Its AI-powered decision-making capabilities enhance RPA with real-time analytics and insights.  It improves business workflows across various functions.
• UiPath extends its robotic processing capabilities with the help of Agentic AI.  They handle unstructured tasks and make real-time decisions. With the help of this approach, more complex processes can be automated.
• Due to its flexible, open architecture and robust governance, UiPath helps both technical and non-technical users manage intelligent automation solutions.

6. Open AI

OpenAI was established with the main goal of ensuring artificial intelligence would benefit all humans. OpenAI was well known for its generative AI agent, ChatGPT. 

Key Services of OpenAI

OpenAI has incorporated agentic AI services through models like

• OpenAI Agents SDK: This allows developers to build and deploy agentic AI applications in a Python environment.  This includes primitives like agents, handoffs, guardrails, and sessions to create applications.
• ChatGPT Agent:  OpenAI is properly known as the forefather of all Generative AIs - ChatGPT. In 2025, OpenAI releases an initial set of APIs and tools for turning the Gen AI into an agentic AI known as ChatGPT Agent. It extends beyond traditional chatbot interaction into autonomous function. 

7. Nvidia

Nvidia is a leading computer technology AI agentic development company. Nvidia Agentic AI specializes in task execution, data analysis, and data management. It transforms vast and complex enterprise data into actionable insights. 

Key Agentic AI Services of Nvidia

• This Agentic AI company deploys intelligent agents with minimal overhead. It is capable of starting conversations with digital coworkers, but also continuously improves through feedback.
• It provides infrastructure and platforms like Omniverse for training and simulating AI agents.
• It provides customizable end-to-end Agentic AI services through rapid prototyping.

8. Intuit

Intuit creates AI agents for specific use cases such as finance. It is a pioneer in introducing agentic AI to automate and enhance business and consumer financial workflows. It emphasizes turning AI agents to work for a “done-for-you” strategy. This has enabled them to dominate in the financial technology landscape.

Key Agentic AI Services of Intuit

Intuit’s agentic SI services include a virtual team of AI agents embedded within QuickBooks, which is designed to automate a wide array of workflows. These AI agents include an Accounting Agent that automates bookkeeping, transaction categorization, and reconciliation.

• GenOs platform: It is the core agentic capabilities of Intuit. It streamlines autonomous planning, reasoning, and execution and integrates with real-time human expertise.
• Intuit Assist: It is a generative AI-powered financial assistant that offers personalized financial recommendations and answers queries.

9. Moveworks

Moveworks provides an agentic AI assistant that helps employees find answers, automate tasks, and boost productivity. It is the only agentic AI provider listed in the FedRAMP marketplace.

Key Agentic AI Services of Moveworks

• It prioritizes AI security and AI compliance.
• It is best suited for enterprises that want to streamline internal support, reduce busywork, and scale AI agents securely across their organization.
• Unified AI assistant for answering questions, automating tasks, and building custom agents.
• It focuses mainly on enhancing workflows in IT and HR support.
• Moveworks understands employee requests, devises intelligent plans, and executes actions to complete tasks across application boundaries in over 100 languages.

10. Adept AI

Adept is an AI company dedicated to building useful and reliable agents for enterprise technology stacks. It uses a “full stack” approach to develop AI agents. 

Key agentic AI Services provided by Adept AI

• Adept provides agentic AI solutions that focus on automating tasks and workflows by interacting with various software applications.
• Its key features include proprietary Agent Training Data, Multimodal Models, Custom Actuation Software, feedback, and Data collection tools.
• AI agents collect training data and get robust feedback using their data collection tools.
• Using Adept Locale, accurate identification of items on webpages or applications, such as buttons, links, and text fields, can be obtained.
• Its main advantage is that it is time-efficient, gives high accuracy, and is scalable.

How to Choose the Right Agentic AI Development Company for Your Business

Organizations are increasingly adopting Agentic AI to automate workflows. Choosing the right agentic AI development company to provide Agentic AI services for software development is important as it directly impacts success. The factors to be considered are 

• Business needs: Identify what specific operations need to be automated by AI agents. This is required to narrow down the right Agentic AI development company. Determine the complexity of AI agent development required.
• Experience in Agentic AI services: Prioritize companies with a proven track record in AI development concerning your industry. Ask for case studies, client testimonials, and examples of how they have solved similar problems. 
• Technical expertise: Assess their technical skills and familiarity with relevant AI tools and frameworks. Evaluate the company’s expertise in Large Language Model (LLM) integration and autonomous task execution. 
• Methodology and approach: Check whether they follow agile methodology, prioritize iterative development, and provide regular updates and feedback.
• Ongoing support and maintenance: AI agents require regular updates, maintenance, and monitoring to remain effective. The chosen AI development company should provide post-launch support, training, and proactive troubleshooting.
• Alignment to Security and Compliance: Check whether the company aligns with industry regulations (e.g., GDPR, HIPAA) and internal compliance policies for data access, storage, and audit.
• Pricing: Compare the pricing details with other competitors and check their licensing fees for agent orchestration platforms. Ensure that the pricing details are transparent.

Future Trends in Agentic AI Development

According to Gartner, Agentic AI is termed the number one strategic technology trend to shape the future. Agentic AI is rapidly evolving and marking several key trends.

• Platformization of agentic AI: Major technology companies are looking forward to developing their own AI agents. This will show a shift towards foundation infrastructure and foster a broader ecosystem.
• Multi-agent collaboration: The Future will see more of combined ecosystems of collaborative agents. Instead of relying on a single AI model, a network of agents will work together.
• Specialization and verticalization: AI agents can be made more specific to industries and use cases. This includes agents in healthcare for diagnostics and triage in retail for personalized experiences.
• Deeper integration: Agentic AI is deeply integrated with existing IT infrastructure and tools. This helps the agents to interact and utilize a wider range of resources in complex workflows.
• Governance and security: This is a core pillar of Agentic AI development. Companies are focusing more on continuous auditing and creating transparent decision records by using algorithms.
• Human-AI collaboration: AI will not completely replace humans; rather, it creates a collaboration ecosystem between them. AI agents automate tasks and analytical processes and reduce manual work. With a user-friendly interface and more natural language prompts, this collaboration can become very near.

Why Choose Entrans as Your Agentic AI Development Partner?

Choosing the right agentic AI partner for your business needs will open more opportunities. An agentic AI partner should reduce manual workloads and accelerate response times.

Thunai - an Agentic AI by Entrans is a perfect example of this. It acts more than a tool, and acts like a collaborative partner. Reports show that Thunai has resolved 61% of Level-1 support tickets autonomously.

Which is exactly what a custom-built agentic AI can accomplish for your enterprise. Entrans handles product development, AI enterprise architecture, and builds CI/CD data pipelines from the ground up.

Want to know more about how we build enterprise AI agents? Book a consultation call to transform your workflow.

Frequently Asked Questions (FAQs):

1. Which companies are leading the development of Agentic AI in 2025?

Companies like Entrans, Open AI, Microsoft, Google, and Nvidia are leading the Agentic AI development in 2025. They are more concentrated on developing agents for specific platforms.

2. What role does machine learning play in Agentic AI systems?

Machine learning lays the foundation for Agentic AI systems. It allows agents to learn from data, suggest predictions, and improve based on feedback. 

3. What is a key ethical consideration in developing Agentic AI?

A key ethical consideration in developing Agentic AI is ensuring transparency and accountability. As autonomous systems make decisions with real-world consequences, it is critical to have mechanisms in place to understand their reasoning and assign responsibility when their actions lead to unintended or negative outcomes.

4. Can Entrans build custom Agentic AI systems for enterprises?

Yes, Entrans can develop and deliver tailored Agentic AI solutions for enterprises. We also have our own Agentic AI named Thunai. We use a “framework-driven development” approach to integrate with data and build specific AI agents.