What makes a company agentic?
An agentic AI company builds models, platforms or products that support AI agents working towards a goal. For buyers, the key distinction is between generating an answer and carrying out a task. Look for planning, tool use, actions in business applications and clear approval boundaries. These are evaluation criteria, not capabilities every company below necessarily offers. A practical demonstration should show how the system chooses its next step, requests access, handles exceptions and asks for approval. Ask the vendor to distinguish its model from its agent product and workflow controls. This helps you avoid comparing unlike offerings. For a fuller explanation, read what is agentic AI.
How to use this agentic AI companies list
This agentic AI companies list is grouped by type, not ranked. Company descriptions were checked 6 October 2026. The selection covers model developers, enterprise agent platforms, automation providers, agent-first products and regional companies. Each has a relevant model, agent product or platform description. Inclusion does not establish market leadership, independent performance or suitability for a particular buyer. Company descriptions reflect what each business says about itself. The categories are not fixed boundaries: a company may offer products across more than one layer. AITG (our company) and Teragrid (our product) are the publisher’s own company and product. For a broader view beyond agents, see top AI companies in the world.
Frontier labs: OpenAI, Anthropic and Google DeepMind
Frontier labs cover the model layer behind agent development. OpenAI describes its work as research and deployment. Its products include ChatGPT, ChatGPT Work for projects, tasks and teams, and Codex. Anthropic describes itself as an AI safety and research company. Its products include Claude and Claude Code, an agentic coding tool. Google DeepMind describes its work as researching and building safe AI, with Gemini models. These companies are relevant when your decision starts with a model or coding tool rather than a complete business workflow. A model choice does not prove that application access, approvals or operational controls are included. Ask which parts come from the model provider and which your platform, implementation team or chosen agent product must deliver.
Enterprise agent platforms
Salesforce describes Agentforce as an AI agent platform for building autonomous agents for employees and customers in the Salesforce ecosystem. ServiceNow offers AI Agents as a product. Microsoft Copilot Studio supports creating AI agents, workflows and apps. Google Cloud’s Gemini Enterprise lets users discover, create, share and run AI agents on one platform. AWS Bedrock AgentCore supports building and running agents. IBM watsonx Orchestrate brings agents together to automate work across applications and workflows, with centralised governance. This group is relevant when evaluating where agents will be built and managed. Compare each offering’s scope rather than assuming a platform name explains every capability. Ask vendors to demonstrate your workflow, identify required integrations and explain which controls are included.
Automation companies moving towards agentic work
UiPath describes a platform for business orchestration and automation involving AI agents, robots and people. Automation Anywhere describes its approach as agentic process automation, combining AI, automation and RPA. Kore.ai describes an Enterprise Agentic AI Platform for customer service and employee productivity. These companies sit in the automation and orchestration group, but their descriptions do not establish identical capabilities or delivery methods. Start with an existing process. Ask where an agent would make decisions, where automation would follow defined rules and where a person would remain responsible. Request a demonstration of exceptions as well as the expected path. The comparison should explain the division of work, not simply show that an agent can produce a convincing response.
Agent-first companies and focused products
Sierra describes AI customer experiences through agents for customer service. Decagon focuses on building, optimising and scaling customer-service AI agents, using the description AI concierge. Cognition describes Devin as an autonomous software engineer. Manus describes itself as an action engine that executes tasks and automates workflows. Glean describes an enterprise AI platform covering agents, an assistant and search over company data. These examples focus on the work an agent is intended to perform. Customer service, software engineering and work over company data are different buying problems. Compare products against the task you need completed, not a single broad definition of intelligence. For a product-focused comparison, see top AI agents in 2026.
Regional options: AITG, Teragrid and Respond.io
AITG (our company) describes itself as Malaysia’s sovereign agentic AI company, building AI agents, the Teragrid Platform and Teragrid Agent. Teragrid (our product) is an enterprise AI agent platform with multi-tenant isolation and sovereign SEA hosting, serving BFSI, healthcare, manufacturing and government. Respond.io is headquartered in Kuala Lumpur. It describes an AI-powered customer conversation platform with AI Agents, bringing WhatsApp, TikTok, Instagram and Facebook into a team inbox. These regional providers belong in a global selection, not a separate quality tier. Evaluate them against the same workflow and control requirements as other vendors. Treat headquarters, hosting and application coverage as separate questions. Confirm deployment and channel scope rather than assuming a company’s location answers both.
Comparison table: companies grouped by type
The table groups companies by technology layer and names the relevant product or model family. Its order follows the categories above and does not indicate quality, size or market position. A missing website link is not a judgement about the provider. Use the table to build a shortlist, then verify the exact product scope with each vendor. Distinguish a model family from a platform for creating agents and from an agent built to carry out a specific job. That distinction makes a comparison of top agentic AI companies in the world more useful for a purchasing decision.
| Company | Type | Agentic product | Website |
|---|---|---|---|
| OpenAI | Frontier lab | ChatGPT Work; Codex | OpenAI |
| Anthropic | Frontier lab | Claude; Claude Code | Anthropic |
| Google DeepMind | Frontier lab | Gemini models | Google DeepMind |
| Salesforce | Enterprise platform | Agentforce | Agentforce |
| ServiceNow | Enterprise platform | AI Agents | AI Agents |
| Microsoft | Enterprise platform | Copilot Studio | — |
| Google Cloud | Enterprise platform | Gemini Enterprise | — |
| AWS | Enterprise platform | Bedrock AgentCore | AgentCore |
| IBM | Enterprise platform | watsonx Orchestrate | — |
| UiPath | Automation | Agents, robots and people orchestration | — |
| Automation Anywhere | Automation | Agentic process automation | — |
| Kore.ai | Automation | Enterprise Agentic AI Platform | — |
| Sierra | Agent-first | Customer-service agents | Sierra |
| Decagon | Agent-first | Customer-service AI agents | Decagon |
| Cognition | Agent-first | Devin | — |
| Manus | Agent-first | Action engine | Manus |
| Glean | Agent-first | Agents, assistant and search | — |
| AITG (our company) | Regional | Teragrid (our product) | AITG; Teragrid |
| Respond.io | Regional | AI Agents | Respond.io |
What should you ask an agentic AI vendor?
Ask the vendor to demonstrate your task from instruction to completed action. Which applications can the agent use? What permissions does it need? Which actions require approval? How can a person stop the work or correct a mistake? Ask about data handling, deployment, usage charges and responsibility for maintaining integrations. Define acceptance criteria before a trial so that fluent output is not mistaken for successful execution. If you need an agent that does the work, Terabot (our product), by AITG, provides business digital workers, each with a private virtual machine. Workers use applications such as CRM, email, spreadsheets and web apps. It is in private preview; businesses can request an invitation. Evaluate it against the same practical requirements as any other option.
Key takeaways
- This is a selection grouped by type, not a ranking of companies.
- Compare model providers, agent platforms and task-focused products separately.
- Company descriptions do not replace a demonstration of your workflow.
- Ask about permissions, approvals, exceptions and deployment before choosing.
- AITG (our company) and Teragrid (our product) are the publisher’s own company and product.
Sources
Written by the Terabot team from the official pages listed above, checked on 6 October 2026. Companies are grouped by what they do, not ranked, and each description comes from the company's own website. Terabot and Teragrid are products of AITG, which publishes this site. Product names belong to their owners; check each company's site before you buy.