Top 12 AI Agent Development Companies in 2025

About 70% of executives surveyed by IBM think that agentic AI is important to their businesses’ future. So, naturally, businesses are partnering with AI agent development companies to build these autonomous tools that run workflows, interact with other systems, and support employees.

But do development companies really have the depth of experience necessary to deliver? The technology is still in its early stage of mainstream adoption, and not every vendor offering “AI agent development” can go beyond prototypes or rebranded automation that doesn’t scale.

Even so, a handful of companies are already building real expertise in agentic AI. In this article, we’ll explore the value of AI agents across industries and highlight twelve firms that are leading the way in development.

1. DevCom

Custom AI agent development and integration for complex business environments

2. Kanerika

Regulation-focused autonomous agents for finance, healthcare, and legal industries

3. Intuz

Multimodal agent development for sales, support, HR, and supply chains

4. scandiweb

E-commerce-native agentic AI automation for search, content, merchandising, and catalog operations

5. Entrans

Full-lifecycle development and integration in legacy environments with in-depth testing

6. Teneo AI

Explainable hybrid NLU (natural language understanding) and LLM (large language model) agents for regulated, high-volume contact centers

7. Cognizant

Governed multi-agent deployments via Neuro accelerators on existing enterprise platforms

8. Infosys

Governed AI agents and orchestration delivered through Agentic AI Foundry

9. Intuit

Embedded finance agents focused on automating accounting, tax, and payments

10. GrowExx

Practical agents connected to enterprise data pipelines, business intelligence (BI), and operational analytics

11. IBM

Governed, explainable enterprise agents on watsonx with hybrid cloud deployment options

12. Microsoft

Low-code AI agent development and agentic AI across Microsoft 365 Copilot and Azure

Artificial intelligence (AI) agents are software systems based on large language models (LLMs) and Generative AI that complete tasks with autonomy. They can interpret information, make decisions, carry out tasks, invoke other tools (or agents), and adjust to new situations without constant human input.

Agents can improve how your business handles individual and collaborative workflows across departments. This means several advantages to your company:

• Operational efficiency improvements: AI agents can handle complex customer support queries, manage documents, help write code, and fix broken test cases. According to IBM’s 2025 AI Projects to Profits study, 83% of companies expect agents to improve process efficiency and output by 2026.
• Cost reduction at scale: Agents can automate routine maintenance scenarios, which can reduce the operational team’s headcount and overhead resources. This is important, since about 67% of C-level executives think automation will help save more costs.
• Enhanced customer satisfaction: Because AI agents work continuously and with autonomy, your customers can expect fast and personalized answers. McKinsey, in particular, believes this tailored interaction can improve customer satisfaction.
• Competitive advantage: IBM’s study shows that 47% of enterprises believe that agents and agentic systems are a competitive advantage. Meanwhile, early adopters have a broader window to experiment with workflow automation and use cases.
• Data-driven decision-making: Nearly 69% of executives think AI agents will improve their decision-making. This is expected because agents can monitor data streams, identify meaningful patterns, and push recommendations and alerts directly into workflows.

Agents not only automate tasks but also redefine how they create value. The impact is best illustrated through real-world applications.

In 2025, companies are commissioning full-scale agents to automate industry-specific workflows. Here are some of the operational tasks they
handle today.

Manufacturing and Industrial Operations

Manufacturing companies deploy AI agents to analyze data from thousands of IoT sensors, which helps optimize machine settings and detect early signs of equipment failure. In quality control, agents can identify and notify human inspectors about defects in products.

Retail and E-commerce

Retailers apply AI agents that can analyze customer behavior for targeted marketing, optimize prices based on seasonal spikes and competitors’ offerings, or manage inventory and stock levels across warehouses. Service agents can answer order-related questions, handle returns, and track shipments without human staff.

Healthcare and Life Sciences

Medical providers and research companies use agents to handle patient scheduling, manage electronic health records, and help with medical examinations and treatment. Healthcare organizations often work with AI agent development companies to make proprietary tech that can handle personally identifiable information (PII) safely.

Financial Services and Insurance

Banks, insurers, and fintech companies use AI agents to track financial activity for signs of fraud, handle Know Your Customer checks, and manage customer onboarding. Meanwhile, insurers can rely on agents to review paperwork and produce initial risk scores.

Logistics and Transportation

Routing AI agents can analyze live traffic conditions, estimate costs, and optimize delivery schedules and paths for couriers. They are also used to manage robot fleets in warehouses and package preparation for shipment.

Energy and Utilities

Energy and utility providers rely on AI agents to detect irregularities in machinery (turbines, transformers, or grid equipment), as well as balance loads across grids and renewable sources.

These applications require advanced and often proprietary solutions made by experienced companies.

There isn’t a large selection of the best AI agent development companies for business automation yet. After all, most companies started integrating generative AI agents in 2023, shortly after the launch of ChatGPT. But success depends on the firm’s ability to adapt rapidly, and the following companies prove that.

1. DevCom

DevCom is a Florida-based software development company with delivery centers in Ukraine that offers custom development services and full-cycle software support. In recent years, the company has developed agentic AI and autonomous agents, integrating them into enterprise management systems and operational workflows.

• Focus: Tailored enterprise software and AI agent development, combined with expertise in DevOps, cloud migration, SaaS, blockchain, data engineering, UI/UX, QA, and system re-engineering.
• Core AI services: AI agent design, multi-agent orchestration, LLM fine-tuning, copilots and chatbots, recommendation engines, integrations into enterprise platforms, as well as ongoing optimization.
• Unique value proposition: DevCom can develop and embed custom AI agents into complex enterprise systems, ensuring they interact reliably with legacy software, remain compliant with regulations, and are supported beyond launch.
• Clutch rating: 4.9/5.0

2. Kanerika

Kanerika is a Texas-based technology company that focuses on AI, analytics, and automation for companies across industries. In particular, its team can build agents for tasks that must follow strict cybersecurity and compliance requirements.

• Focus: Development of agentic AI for multi-step business processes, including PII redaction, document summarization, legal workflows, and quantitative proofreading. The company often works with finance, healthcare, and legal sectors.
• Core AI services: Multi-agent system deployment, AI automation consulting, integration with legacy platforms, and domain-specific agents for compliance-heavy workflows.
• Unique value proposition: Kanerika differentiates itself by designing autonomous AI agents that align with strict regulatory requirements.
• Clutch rating: 5.0/5.0

3. Intuz

Intuz is a global software and AI services firm headquartered in San Francisco with over 1,500 projects and an ISO 9001:2015 certification for quality management. The company emphasizes AI agent deployments that fit into business workflows, such as customer support, sales, HR management, and supply chain.

• Focus: Customized AI agents integrated into enterprise workflows across departments.
• Core AI services: AI strategy consulting, bespoke agent design, system integration with enterprise platforms, continuous retraining and prompt tuning, and multimodal agent support.
• Unique value proposition: Intuz focuses on multimodal agents (voice, text, images) and differentiates itself for businesses seeking versatile automation.
• Clutch rating: 4.8/5.0

4. scandiweb

scandiweb, headquartered in Latvia, is best known as a full-service digital commerce and web development company around Magento and Adobe Commerce. It has extended into AI and agentic workflows, working with mid-market and enterprise retailers across North America and Europe.

• Focus: Embedding AI agents into online retail and e-commerce platforms to automate catalog management, optimize customer search results, and generate product content at scale.
• Core AI services: AI search and answer engine optimization, custom AI workflows and automation, generative content at scale, BI automation, and data science analytics.
• Unique value proposition: Strong e-commerce background paired with applied AI knowledge and expertise in commerce systems.
• Clutch rating: 4.8/5.0

5. Entrans

Entrans is an AI-first and engineering-led digital firm with offices in Chennai and New Jersey. What gets it on the list of top AI agent development companies in 2025 is its delivery model. Entrans helps adopt agents alongside other AI tools that must run inside existing systems, respect security rules, and pass reliability tests before entering live workflows.

• Focus: Enterprise agent integration where agents operate inside legacy stacks and domain-specific workflows, with attention to data governance, security constraints, and operational readiness.
• Core AI services: Generative AI consulting, agentic framework integration, workflow automation, LLM backends (GPT, Claude, or open models), prompt orchestration, vector search and embeddings, evaluation, and robustness testing.
• Unique value proposition: An AI-first delivery model that blends a quick ramp of skilled teams with reliability testing to help pilot projects transition into production environments.

6. Teneo AI

Teneo.ai (founded in 2001 as Artificial Solutions) is a Stockholm-based enterprise provider focused on voice and conversational AI for contact centers across the US and Europe. This company’s emphasis is on automating Tier-1 support and contact center functions.

• Focus: Conversational and voice agents for contact centers, including agentic orchestration that routes, reasons, and executes tasks during live calls and chats. It also includes hybrid NLU models that combine deterministic models with LLMs.
• Core AI services: Agentic orchestration and management, voice and chat automation, integrations with Genesys and Amazon Connect, analytics and observability, linguistic modeling, and hybrid NLU.
• Unique value proposition: Teneo combines linguistic models with large language models and safeguards in a hybrid setup. This approach helps AI agents maintain explainability in regulated environments.

7. Cognizant

Cognizant is a global IT services company, now headquartered in New Jersey, that runs digital transformation programs for regulated industries. The company recently announced the Neuro AI Multi-Agent Accelerator and a Multi-Agent Services Suite platform that can help companies design governing networks of cooperating AI agents.

• Focus: Verticalized agentic AI for enterprises that need multi-agent coordination under strict controls, especially in banking, insurance, and healthcare.
• Core AI services: Multi-agent design and orchestration (Neuro AI Multi-Agent Accelerator), decisioning agents, governance and monitoring, data and model services, and integration services.
• Unique value proposition: Cognizant provides an accelerator framework to help implement AI agents into enterprise data platforms and legacy systems without major system overhauls.

8. Infosys

Infosys is a large global IT and consulting firm that serves clients across finance, healthcare, retail, energy, and telecom. It has a portfolio of automation and AI products, including the Infosys Agentic AI Foundry — a multi-agent AI system that combines reusable agents, orchestration infrastructure, and governance features.

• Focus: Business automation blended with multi-agent, domain-aware AI agents for compliance-heavy industries (such as finance, healthcare, and insurance).
• Core AI services: Prebuilt libraries of reusable agents, custom graph-based or human-in-the-loop agents, continuous AI agent training, governance and monitoring tools for compliance, and integration services.
• Unique value proposition: Infosys offers Agentic Foundry as a catalog of horizontal and vertical agents that can accelerate the deployment of AI agents into existing IT systems.

9. Intuit

Intuit is a California-based company known for financial software (such as QuickBooks, TurboTax, and Credit Karma). It has made investments in generative AI, workflow automation, and the internal GenOS platform for agent orchestration.

• Focus: Embedded AI agents for financial workflows suitable for small and mid-sized businesses that want to automate accounting, tax preparation, and payment handling in their existing systems.
• Core AI services: Agents for accounting, payments, and finance, prompt optimization and model routing, workflow automation, and integration services.
• Unique value proposition: Intuit has integrated AI agents into its custom AI agent projects and existing financial software suite, such as QuickBooks or TurboTax.

10. GrowExx

GrowExx is a software and AI consulting firm for mid-market and enterprise clients. It covers the full life cycle development of generative AI tools, copilots, chatbots, and analytics platforms.

• Focus: AI solutions that connect directly with enterprise data and CI/CD pipelines, including reconciliation tools, forecasting engines, and conversational BI.
• Core AI services: AI/ML model development, generative AI development, data engineering, BI design, and integration services.
• Unique value proposition: Delivery model built around end-to-end execution.
• Clutch rating: 5.0/5.0

These software developers are a good fit for start-ups, midsize companies, and larger businesses. However, if you’re a well-established enterprise with a large headcount, you might want to try other companies that offer ready-made tools.

Technology giants like IBM and Microsoft also provide customizable enterprise AI agents. While their focus is not development, they nonetheless supply toolkits, models, orchestration layers, and governance features that allow organizations to deploy agents at scale.

1. IBM

IBM’s AI initiatives date back decades, but today’s AI agent initiatives are consolidated under watsonx — a collection of AI agent platforms that covers model development, orchestration, deployment, and governance. Its primary expertise is enterprise-grade agents designed for industries that demand explainability, security, and integration with legacy systems.

IBM’s AI agent advantages include:

• Hybrid deployment strategy in the cloud, on-premises, or for mixed environments
• Prebuilt AI models in watsonx Agent Lab
• Agent compliance and monitoring tools in watsonx.governance
• Conversational agents via watsonx Assistant

2. Microsoft

Microsoft embeds its Copilot AI agents across platforms, such as Microsoft 365, Graph, and the Azure ecosystem. This approach (placing agentic AI inside popular tools) can lower the adoption barrier for enterprises.

With Microsoft, you get:

• Productivity-focused and enterprise-embedded agents within products
• Low-code interface for AI agent development and model rules (knowledge sources, actions, triggers, etc.) in Copilot Studio 

Yet, choosing the right partner is less about brand and more about whether a company can meet your requirements.

On paper, nearly every company looks capable of solving your problems with an AI agent. In reality, though, it can be hard to find a provider who can deliver a reliable tool that handles sensitive data and adjusts to your workflows.

Following these selection criteria and tips can help you identify the best AI agent development company for your business from dozens of options:

• Build vs. buy: Decide whether you want to get a limited, ready-made AI agent or build a custom AI agent tailored to your workflows.
• Vendor lock-in awareness: Check whether a provider builds AI agents using open-source frameworks or uses proprietary platforms that only they control.
• Domain expertise: Review the company’s portfolio for AI agent projects in your industry, noting whether they delivered full-scale systems (not just PoCs).
• Track record: Look for verified client reviews on independent platforms and repeat contracts with the same clients.
• Integration capability: Determine if the vendor has experience integrating agents into enterprise-grade CRMs like Salesforce or ERPs like Oracle.
• Security mechanisms: Make sure the company applies encryption, zero-trust policies, and, optionally, follows a security-first methodology like DevSecOps.
• Data privacy: An AI agent developer should demonstrate expertise in regulations relevant to your industry to ensure the agentic AI handles sensitive data correctly.
• Location: Research the vendor’s country to identify language proficiency, time zones, and other factors that can complicate communication.
• Delivery model: Learn how the developer’s team is distributed and what hours they cover.
• Pricing transparency: Learn how the company estimates and calculates costs, and whether it covers ongoing maintenance and model retraining.

Early adopters of AI agents report gains in productivity and customer service, but not every company gets greater value than simply speeding up existing operations. And that’s partly because the technology is so new, not to mention constantly evolving. As a result, vendors with limited experience claim that they can deliver, but in practice, may not meet your long-term needs.

DevCom offers end-to-end AI agent development services for businesses of any size in a wide range of industries. This means we can help you design AI models, train them on the right data, run controlled pilots, and manage deployments. If you want to learn more, simply fill out a quick form. 

Exploring how AI agent capability can support your business is the first step to deciding if it’s the right direction for your company in a rapidly evolving field that is increasingly becoming standard in many industries.