Businesses worldwide have high hopes and expectations for the AI industry to step up and join hands in the tech world, continuously revolutionize workflows, automate processes, streamline operations, and aid decision-making. AI agents have been the first tribute of AI technology practices in the real world, continuously serving effectively in customer services, communications, business intelligence, etc.

Haven’t heard about AI Agents? You’re missing out. Tap over into our previous blog regarding this topic here to get your bases covered. In this article, we’ll walk you through the top 6 AI Agents that we bet you might have heard about its product but didn’t know who is behind it until today. We’ll be sorting based on its market impact, scalability, popularity, innovative adoption, etc. All criteria are sometimes subject to change, so please take it with a grain of salt.

1. OpenAI’s Operator

OpenAI is the company behind ChatGPT, the controversial global AI chatbot that was released for a free preview in 2022. The generative AI launch was making headlines and, arguably, the biggest debatable topic dragged over to the last half of 2023. ChatGPT was the first prominent chatbot that reached over 1 million users in just five days, surpassing 100 million in two months.

Before the entrance of ChatGPT, OpenAI had released Codex, a groundbreaking AI system that aims to translate natural language into code. It did not perform as well as expected. The system was developed based on GPT-3 architecture and later discontinued support on March 23rd, 2023. ChatGPT initially used the GPT-3.5 model and later upgraded to GPT-4, GPT-4o, o1 pro mode, etc., offering more advanced capabilities from text, image, audio, and video to music processing catering to the paid subscription members. OpenAI’s AI agents can handle complex workflows, generating human-like content and a reliable coding assistant. Its expansion had somewhat invaded the customer support fields with AI chatbot customer support agents, developing new and creative marketing ideas, content, social posts, marketing strategies, fast-responding questions, and providing information for education and the coding industry. The use of ChatGPT has endless possibilities that can be applied to almost any aspect of any field in today’s economy. The only issue that not only Open AI faces but every other AI agent might face is the ethical reason behind it. Many have argued AI does not align with human values, and its goal mainly conflicts with human interests; due to its learning mechanism being based on past datasets, it often amplifies the predefined bias and reproduces unfair outcomes.

2. Google DeepMind

Originally founded in November 2010 by Demis Hassabis, Shane Legg, and Mustafa Suleyman, it went by DeepMind Technologies Limited. Google later acquired it on January 26th, 2014. DeepMind AI technology was initially developed to improve gaming experiences, then collaborated with hospitals to help with early cancer detection, blindness diseases, etc. Google Deepmind also developed different healthcare apps designed to serve clinics, hospitals, and research centers to further assist healthcare professionals in promptly alerting, treating, and predicting patients’ conditions.

Google DeepMind has extended its work beyond just gaming and healthcare. It first released AlphaCode in 2022, an AI coding assistant that utilizes computer programming to create a comparable human-creating computer program. Gemini was launched a bit later, in December 2023, seeking to challenge ChatGPT from OpenAI and is developed to integrate into multiple Google products. Moving into the AI video-making software with Veo in May 2024, the AI control robotic arm with Robocat, the archaeology document program with Pythia & Ithaca, and a lot more other fields that Google is interested in.

In upcoming years, Google Deepmind is determined to focus on Healthcare and Drug discovery with the help of AlphaFold – an AI agent that DeepMind has specialized in supporting the industry in predicting the interaction between proteins with DNA, RNA, and other molecules to solve real-world scientific problems, understand how protein folds up, its 3D structures. To put it in simple words, it strives to help predict the structure of proteins. In the past, it had contributed to unveiling the development of the SARS-CoV-2 virus, boosting our acknowledgment of the virus itself.

3. Anthropic

Founded in 2021, Anthropic was started as an AI public benefit start-up by seven former OpenAI employees. It aimed to implement safe and reliable models for the public. Its first product was a family of large language models named Claude, a competitor to ChatGPT and Gemini.

Constitutional AI, an approach in which an AI system has to operate within the bounds of constitutional principles including but not limited to human rights, privacy protections, process, equality, transparent, trustworthiness, and harmless AI feedback, is incorporated into Claude. Although the first version of Claude was not released for public use. Claude 2 was made available to the public in July 2023. Amazon joined the Force and partnered up with Anthropic in Sep 2023.

In November 2024, Anthropic, Palantir, and Amazon Web Services provided the Claude model to the US intelligence and Defense agencies. Claude will help define trends and patterns, reduce data processing times, streamline document reviews, and aid in the decision-making process in time-sensitive circumstances. In the future, Anthropic will focus on enterprise Constitutional AI solutions in regulated industries where AI is compliant, safe, accurate, and unbiased.

4. Microsoft Copilot

Hopping on the AI bandwagon, Microsoft introduced the Copilot chatbot on Feb 7th, 2023, in replacement of the Cortana virtual assistant with a user interface that looks like ChatGPT minus a few advanced features. Copilot was built based on the GPT-4 AI model and mainly integrated into Microsoft’s ecosystem. That said, don’t mix ChatGPT and Microsoft Copilot together. They might be built similarly to Large Language Models, which both generate written responses from inputting written prompts. However, their datasets are vastly different. Copilot has access to your Microsoft organization system, including emails, Word, Excel, PowerPoints, customer databases, etc., while ChatGPT does not. Copilot helped collect and analyze data, draft response emails, reports, and presentations within your Microsoft ecosystems, and have that AI boost your objective productivity.

In a nutshell, Copilot AI is transforming the way businesses operate with task automation integrated deeply into Microsoft Enterprise solutions, making it one of the most efficient AI solutions and workplace assistants currently. On top of that, Copilot AI has powered up the GitHub developments tremendously by offering developers the ability to write better code in less time, revolutionizing the new era of software development.

Microsoft Azure AI solutions were first released in November 2021 for more premium and comprehensive cloud-based generative AI solutions services. After acquiring 49% of OpenAI equity, Microsoft Azure had evolved tremendously. Azure AI allows businesses to build their version of customizable AI models and chatbots, empowering customer service experiences and software developments in greater scalability, real-time data analytics, speech transcription, and language translation. It’s an all-rounder, and you’ll need to automate your business. If you’re in the Microsoft ecosystem, Azure AI or Copilot AI would be your best shot to optimize processes and maximize business performance regardless of your business size.

5. Amazon AI

We might not know anything about AWS AI, but the voice assistant Alexa had its name known globally as a conversational AI even before ChatGPT was a thing back in 2014. Alexa hadn’t made significant AI improvements until recently, when the Alexa AI+ was revamped on Feb 27th, 2025. The birth of their new Generative AI invention – Nova- stirred up controversies about its origin. However, Amazon boldly confirmed that Amazon engineers handcrafted Nova and that it belongs to Amazon’s proprietary AI tech. The new revamp Alexa is promised to become the future companionship for human beings as it has been the close acquaintance of 71.6 million American citizens. Still, the fear of Alexa being the data feeder to the government and the outside world has been utterly voiced out and questioned at conferences, talks, and websites at a concerning rate.

Despite those arguments toward the Alexa new launch, Amazon’s stance on transforming the AI agents to be the empowered AI home automation has somewhat become realistic with the quick adoption of American households upon the release of Alexa + available for free on their existing Alexa Echo devices. It was and shall be much easier to integrate other home gadgets to connect and automate these tech devices through voice commands, turning their own home into the futuristic home we had watching on TV in the 2000s.

Not only do they work in household models, but Amazon AI is invading business settings due to its familiar voice command habits, ease of use in making schedules and reminders, summarizing information, creating quick reports, and answering emails and text messages in a matter of seconds. Its ability to translate and multilingual dynamic helps its end users comfortably find it reliable and form this sense of trust in Alexa’s presence.

As Amazon AI finally had it pronounced, the AI robotic movement would be Amazon’s next plan upon its massive adoption of over 750,000 robots handling inventory, ordering fulfillment, and so on to improve its delivery times, maximize its operational procedures, and cut expenses by 25%.

6. Meta AI

Do you remember the pre-Meta days when it still went under the name Facebook? After the obsession of creating the allegedly “Metaverse”, Mark Zuckerberg had his Facebook rebranded to Meta in 2021. His interest in AI had been a crazily long, costly ride, which had not yielded any profit to the organization and worried investors who had been constantly calling him out for not keeping up with OpenAi and Google AI for the last few years.

A few days ago, Meta AI announced its standalone app that will be commercialized and compete against OpenAI. Mark claimed that Meta AI would lead the AI tech world by the end of 2025. As we have been strolling through the first quarter of 2025 with nothing special on Meta AI, we haven’t had anything to back up Mark’s claim yet.

Meta AI is built on the LLAMA (Large Language Model Meta AI) series and has been set to compete with OpenAI since its birth. The latest LLAMA 3 aims to revolutionize AI-generated content, whether a post, image captions, image editing, video editing, etc., to help the content creator and social media influencers. Apart from that, Meta AI had its genuine focus on VR and AR fields where it allows users to generate and interact within the 3D environment, own digital assets, detect objects, and use facial recognition in real-time to recreate a realistic virtual reality, further promoting AI-powered gaming, shopping experiences, etc.

The AI Agents in conclusions

That’s all for the Top 6 AI agents for the first quarter of 2025. The list can go on much longer, but for us, the outstanding 6 AI agents above have highlighted their names and attracted the world’s attention with repeated mentions and discussions that we could not keep track of. There are more excitements for the upcoming quarters and by the end of this year, we’ll be coming back to catch up on the lists to see which company has marked its words and who just blows off, so watch out for it!