Top 10 Agentic AI Development Companies
in the US [2025]

Agentic AI is moving on from early experimentation to widespread business adoption. According to a recent Google Cloud survey, 52% of executives say they have integrated AI agents into their operations, with 39% using more than ten. As demand rises, businesses are increasingly seeking reliable companies for developing agentic AI solutions.

A team with the right expertise can make the difference between lifting your business to the next level with a sophisticated agentic AI system or wasting money on a solution that doesn’t deliver.

In this article, we’re sharing our curated list of the 10 best agentic AI development companies in the US for 2025. You’ll get a quick look at what each team focuses on, the technologies they work with, their biggest strengths, and a few practical tips to help you choose the right partner for your project.

What are the top agentic AI development companies in the US? Here’s a list of the most trusted players in the field: 

• DevCom – A full-service US-Ukrainian engineering partner specializing in custom, production-ready agentic AI systems for small and mid-sized businesses (SMBs).
• Rootstrap – A California-based software agency known for integrating multi-agent workflows into digital products through flexible, senior-level engineering support.
• Entrans – A US-Indian development company building autonomous agents and large, interconnected automation systems for growth-oriented businesses.
• Biz4Group – A Florida-based IT provider offering fast, template-driven agentic AI solutions well-suited for rapid MVPs and accelerated delivery timelines.
• EffectiveSoft – A long-established US-Eastern European engineering firm focusing on task-specific autonomous agents that plug into mature enterprise systems.
• Intuz – A Silicon Valley development company actively experimenting with emerging agent frameworks and building practical autonomous agents for everyday business tasks.
• Trigma – A US-Indian technology company delivering product-oriented agentic AI features and ready-to-apply agent workflows.
• Kanerika – A global consulting firm combining strong data engineering foundations with agentic AI to automate multi-step operational workflows.
• Cognizant – A major US enterprise-level provider deploying large-scale agent networks and multi-department automation across complex environments.
• IBM – One of the world’s most established technology companies, offering enterprise-grade agentic AI through its watsonx platform and governance-focused frameworks.

But while they all work with agentic AI, they are far from identical. Some specialize in large-scale enterprise software, while others are a better fit for SMBs looking for agile, cost-efficient solutions. In the next section, we’ll take a closer look at each provider. 

Agentic AI is still a young technology, with large-scale adoption only beginning around 2023-2024. Naturally, no provider can claim decades of experience, but that doesn’t mean there is a shortage of strong partners.

Many developer teams, especially those already building advanced machine learning solutions, started experimenting with agentic AI the moment it emerged. Because they stepped in early and already had strong engineering foundations, they’re now able to deliver agentic systems that are stable, practical, and ready for real use.

So, let’s take a closer look at the companies developing agentic AI systems worth considering for your project.

1. DevCom 

DevCom is a full-service software partner with more than 25 years of experience, 200+ engineers, and 1,000+ projects delivered globally. Their recent focus is on custom agentic AI solutions that can analyze information, select the best actions, and refine their performance over time. 

Based in Florida with delivery teams in Ukraine, DevCom is an optimal choice for SMBs that want to work with leading companies in agentic AI development while still keeping the engagement flexible and efficient for their size.

• Key expertise: Tailored autonomous AI systems for data analysis, content creation and management, customer service, and workflow automation. This also includes multi-agent architectures, agent coordination, and continuous agent performance optimization.
• Core AI/ML tech stack: LangChain, CrewAI, OpenAI Agents, Anthropic, Google Vertex AI, Azure AI Studio, TensorFlow, PyTorch, Hugging Face.
• Approach: A strong focus on the client’s needs. The team begins with a proactive discovery phase that can include an AI readiness audit, workflow analysis, and opportunity mapping. Using these insights, DevCom builds scalable agentic systems and stays involved after launch to monitor performance and refine agents.
• Unique value proposition: DevCom builds autonomous agents that match the client’s business processes and needs, covering all phases of agentic AI adoption, from early strategy to long-term optimization and performance evaluation. This makes their approach highly versatile: teams may come with just an idea, an early prototype, or an existing agent setup, and DevCom can take it from there. 

2. Rootstrap

Rootstrap is also on the list of top agentic AI development companies for SMBs in the US market. Headquartered in California with delivery centers across Latin America, the team has spent more than a decade delivering high-end solutions, and it now uses that experience to build custom AI agents. The company’s agentic AI expertise helps businesses automate complex workflows and boost operational efficiency. 

• Key expertise: Custom AI agents and multi-agent workflows, including large language models for reasoning, retrieval-augmented agents for contextual decision-making, and orchestration patterns to support autonomous operations.
• Core AI/ML tech stack: OpenAI, Llama, LangChain, custom multi-agent frameworks, TensorFlow, PyTorch.
• Approach: A flexible engagement model where clients get access to senior AI experts who integrate swiftly with existing teams, or Rootstrap can bring in a dedicated product team for specific projects.
• Unique value proposition: Rootstrap excels at building custom AI agents and multi-agent workflows within existing products. They’re a strong choice for businesses with internal teams that need extra expertise in agentic AI.

3. Entrans

Entrans is a global software engineering company with offices in the US and India. It builds cloud, AI, and automation solutions for startups, mid-market companies, and enterprises. Since the team focused on autonomous AI systems, Entrans has earned a reputation as one of the top companies that develop agentic AI solutions.

• Key expertise: Enterprise-grade agentic automation, including multi-agent systems and voice, chat, and email agents that operate across departments.
• Core AI/ML tech stack: TensorFlow, PyTorch, Pandas, Apache Spark, Docker, Kubernetes.
• Approach: A structured, end-to-end delivery model where Entrans maps business workflows, designs custom agents around them, and integrates those agents into existing tools with the cloud and data foundations needed for scale.
• Unique value proposition: The company’s strength lies in delivering wide, interconnected automation ecosystems, which is ideal for clients looking to automate operations across many functions and cloud setups.

4. Biz4Group

Biz4Group is a US-based IT services provider with its main office in Florida and tech teams in India. It ranks among the top companies creating agentic AI solutions, delivering software engineering services for organizations of all sizes, from startups to large enterprises. The company works across several industries, with an established presence in e-commerce, real estate, and healthcare.

• Key expertise: Autonomous AI agents for multi-step workflows, agentic chatbots, task-oriented agents, and AI-driven decision-support systems.
• Core AI/ML tech stack: OpenAI, Google Vertex AI, LangChain, Llama, vector databases.
• Approach: Defined workflows tailored to different business needs: rapid MVP builds for startups and a structured, multi-phase process for long-term projects.
• Unique value proposition: Biz4Group offers fast delivery and packaged development models using template-driven components, predefined cost ranges, and quicker MVP cycles. It’s a good choice for teams that want to deploy agentic AI without heavy upfront complexity while accepting some limits on customization.

5. EffectiveSoft

EffectiveSoft is a long-established tech services provider headquartered in San Diego with engineering teams across Eastern Europe. The company has a strong track record in delivering complex products for healthcare, finance, and logistics clients. Over the past few years, it has expanded this expertise into autonomous agent development, emerging as one of the early companies building agentic AI solutions.

• Key expertise: Autonomous agents for specific workflows, such as document processing, data research, customer support, workflow automation, and intelligent decision-making, along with multi-agent system development.
• Core AI/ML tech stack: OpenAI, LangChain, Hugging Face models, vector search technologies, Python, React, TensorFlow, PyTorch.
• Approach: A workflow-first process that begins with analyzing how the client operates and identifying where autonomous agents can replace or enhance manual tasks. EffectiveSoft then builds and integrates these agents into existing tools, APIs, and data systems.
• Unique value proposition: EffectiveSoft focuses on building task-specific autonomous agents that integrate seamlessly into already mature systems. This makes the company a strong option for organizations looking to add modular automation to established workflows without redesigning entire platforms.

6. Intuz

Intuz is a US company that actively experiments with emerging agent frameworks. Based in Silicon Valley with engineering centers in India, it has spent more than 16 years building custom digital products and cloud solutions. Recently, much of that expertise has shifted toward AI agent development, providing businesses with a practical, effective, and low-disruption way to automate complex workflows. 

• Key expertise: AI agent development, which extends to the integration of LLM-powered reasoning, contextual retrieval, and real-time orchestration into existing business systems.
• Core AI/ML tech stack: LLMs (OpenAI GPT-4, Claude, Llama), LangChain, vector search technologies, multi-agent orchestration frameworks, Python, TensorFlow, PyTorch.
• Approach: A client-oriented model supporting both rapid PoCs and full production builds. The team starts by analyzing client workflows, then builds and integrates agents into existing systems and data flows.
• Unique value proposition: Intuz specializes in building autonomous agents designed to plug into business processes, whether you’re adding smart capabilities or automating entire operations. It’s well-suited for organizations that want practical agentic AI without reinventing their entire stack.

7. Trigma

Trigma is a global consulting and technology company with a US office in Las Vegas and teams across India. Over the past decade, it has delivered a wide range of innovative software products, and today it stands out as one of the most productive companies developing agentic AI solutions. Trigma’s portfolio includes an AI-driven sales tool powered by autonomous AI agents and a custom printing platform enhanced with agent-based automation.

• Key expertise: AI agents and multi-agent systems built on generative AI, LLM-powered reasoning, contextual retrieval, and orchestration frameworks that allow agents to collaborate or operate independently across systems.
• Core AI/ML tech stack: OpenAI, Claude, Llama, LangChain, vector databases, and custom orchestration layers for multi-agent workflows.
• Approach: A consultative, use-case-first process. Trigma begins by identifying where autonomous agents can deliver measurable value, then builds the agents and integrates them with the required tools and systems. 
• Unique value proposition: The company focuses on practical, product-oriented agentic AI applications and ready-to-apply solutions. This makes it a strong fit for teams that want agent-driven features or lightweight automation added quickly on top of their existing platforms.

8. Kanerika

Kanerika is a global technology consulting and development company with a US office in Austin, Texas, and engineering teams across India and Europe. The company has built a reputation in data engineering, AI automation, and workflow analytics. In recent years, it has also become one of the top companies that create agentic AI solutions.

• Key expertise: Autonomous agents and multi-agent systems for multi-step workflow automation, including agents with memory, reasoning, retrieval-augmented decision-making, document processing, and coordinated task orchestration.
• Core AI/ML tech stack: OpenAI, Claude, Llama, LangChain, vector databases, Python, TensorFlow, PyTorch, Azure AI, AWS AI services, Google Cloud Vertex AI, custom multi-agent orchestration layers.
• Approach: A data-first approach, starting with the client’s existing analytics, logs, and workflows to map out where agents will deliver immediate impact. The team then designs agents that plug into these data flows and can be scaled as the customer’s needs grow.
• Unique value proposition: Kanerika’s solutions are often geared toward optimizing operational flows, connecting data sources, and automating repetitive tasks through targeted agents. The company may suit clients who want to add autonomous agents into established processes without rebuilding their entire tech stack.

9. Cognizant

Cognizant is a global technology services company headquartered in Teaneck, New Jersey, with a long-standing presence across the US and worldwide. Known for its large-scale digital transformation work, the company has recently made a major push into agentic AI. Cognizant now deploys autonomous AI agents across complex enterprise environments and positions itself as one of the most advanced companies in this field.

• Key expertise: Enterprise-grade AI agents and multi-agent systems that automate end-to-end business processes. The company also provides pre-built agent accelerators and a structured model (“agentification”) for layering autonomous agents into enterprise ecosystems.
• Core AI/ML tech stack: OpenAI, Claude, Llama, LangChain, vector databases, Neuro® AI Agent Accelerator, cloud-native orchestration frameworks.
• Approach: A highly structured, enterprise-oriented approach. Their processes include rapid prototyping, integration with legacy systems, cloud deployment at scale, and ongoing optimization to ensure agents adapt to evolving business demands.
• Unique value proposition: Cognizant assists large organizations in unlocking “enterprise-wide autonomy” by building AI agents that execute tasks and coordinate with other systems. The company is a good fit for enterprises that want to automate multi-step processes across departments while maintaining strong compliance and data control.

10. IBM

IBM is one of the world’s largest and most established technology companies, headquartered in Armonk, New York. With decades of experience in AI, it has evolved into a leading enterprise-level agentic AI provider. Beyond its engineering services, much of IBM’s agentic AI work runs on the watsonx platform, which includes pre-built components, orchestration tools, and governance frameworks built for large and complex enterprise environments.

• Key expertise: Enterprise-grade autonomous agents, including multi-agent orchestration, autonomous reasoning, retrieval-augmented workflows, and domain-specific agent architectures.
• Core AI/ML tech stack: watsonx tools, Granite models, vector search, LangChain integrations, enterprise orchestration (Kubernetes/OpenShift), and cloud platforms including IBM Cloud.
• Approach: A strategy-first, enterprise-focused model. IBM aligns autonomous AI agents with the client’s long-term goals, ensuring enterprise security.
• Unique value proposition: IBM specializes in large-scale, compliant agentic AI deployments for Fortune 500 companies, government agencies, and highly regulated industries. With strong governance, pre-built agent accelerators, and industry-specific frameworks, it’s ideal for organizations that require strict security and multi-department automation.

So now you know what companies are developing agentic AI. But the next challenge is choosing the right one for your own project. To help you narrow the list, here are a few practical tips.

Check Their AI Experience

Most agentic projects are still under NDAs, in development, or moving through long enterprise approval cycles before they can be marketed. So, many companies developing agentic AI won’t have a long public portfolio of multi-agent systems, and that’s completely normal.

But it’s helpful to look at how the company has handled innovative, complex technologies in the past. This will tell you far more about their real capabilities than a brand-new “agentic AI” page. A strong AI track record is often the best predictor of agentic AI success.

Assess Their Pre-Development Process

Agentic AI must reflect your workflows, data sources, bottlenecks, and genuine operational needs. Without a thorough discovery phase, the final system may miss the mark or fail to fit into your existing IT setup altogether.

So, look for teams that take the time to understand how your business works. A good partner will assess your AI readiness, figure out how autonomous agents will integrate with your current systems, and guide you through what your agentic AI roadmap should look like.

Look at the Scope of Their Services

When choosing among agentic AI development companies, it’s important to look beyond their ability to build AI agents. The strongest partners offer a broader set of AI services: consulting, machine learning engineering, natural language processing (NLP), data pipelines, integrations, and more. 

A company with a wide AI skill set is able to support you no matter how your project evolves. If you need a custom model later, or advanced NLP, or new integrations, you won’t have to bring in additional vendors. That saves time, reduces friction, and keeps your entire AI roadmap in one place.

DevCom checks all the key boxes of an optimal agentic AI partner. They have real experience delivering complex AI solutions, like their AI-powered medical diagnostics platform. They also treat discovery seriously, as shown in their AI readiness audit for an e-commerce client. With strong software engineering expertise on top of their AI capabilities, DevCom will support your project wherever it goes.

While the technology is still new, there’s already a strong lineup of agentic AI development companies ready to support you in bringing it into your business. The key is choosing a partner that matches your needs and your company’s size. 

For small and mid-sized businesses, DevCom is a reliable choice with a proven AI track record and focus on real client needs. Contact us to discuss how we can help you implement agentic AI in your organization.