HubSpot Founder’s Agentic AI Platform Surges Past 250,0000 Users

Approved builders have already developed 3,420 AI Agents for the “Agent.ai” platform

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HubSpot Founder’s Agentic AI Platform Surges Past 250,0000 Users
CRMLatest News

Published: January 13, 2025

Charlie Mitchell

Dharmesh Shah, Founder & CTO of HubSpot, has revealed the rapid growth of his “Agent.ai” platform.

Introduced during September’s INBOUND 2024, Shah launched the platform as a network of autonomous AI agents for service, sales, marketing, and operations teams.

Via that network, users can scout, test, and deploy the AI Agents within their CX ecosystem.

As of January 2025, the platform already has 258,000 users, racing past the 100,000 target that Shah has set for the project.

Yet, despite its initial success, the “Agent.ai” platform runs independently from HubSpot. Although, the founder hopes it will eventually become part of the CRM giant’s ecosystem.

That happened with Shah’s previous project, “ChatSpot”, which is now Breeze Copilot.

Alongside AI Agents preconfigured by Shah and his team, Agent.ai includes an Agent Builder. This offers a low-code interface for CX teams to create their own agents.

According to Shah, 14,422 people are leveraging this tool, and 1,697 of them have already built their own AI Agents, including Yamini Rangan, CEO of HubSpot.

“She lives and breathes the growth mindset,” wrote Shah on LinkedIn. “Oh, and my middle-schooler is using Agent AI for his capstone project at school.

[Altogether,] there have been 3,420 agents built on the platform – of which 302 have been publicly shared.

As community members share their AI Agents, users can give them reviews from one to five stars.

So far, the average rating across the public AI Agents is 3.99 stars, which Shah believes is positive for an early platform.

Yet, he admits there is still work to do on the quality of AI agents and notes that he’s working seven days a week to keep evolving the offering.

As he does so, HubSpot provides support and builds out its agentic AI narrative. Shah concluded:

We have a *bunch* of agent-related projects going on in and around HubSpot. We’re all in on this.

HubSpot also cited agentic AI for SMBs as a primary opportunity for its investment arm – “HubSpot Ventures” – in 2025, again signaling these ambitions.

As the vendor delivers on these, Salesforce – its chief CRM rival – will continue making a lot of noise with Agentforce. Already it has released Agentforce 2.0.

Meanwhile, other major players in the space – including Oracle, Salesforce, and SAP – have made significant announcements of their own.

Many of HubSpot’s customers have likely noticed this and started asking questions. Yet, either through picking up Agent.ai or another major announcement, expect the company to publicly start sharing some answers in early 2025.

The Agent.ai Platform: A Closer Look

At INBOUND 2024, Shah shared some of his favorite AI Agents already on the “Agent.ai” platform.

First, he presented a Conversion Rate Optimizer Agent for marketing teams that recommends improvements to the company website.

For instance, it may suggest enhancing particular images, call to actions (CTAs), or webpage phrasing, all in the name of bolstering conversion rates.

Then, there is a Company Research Agent. Sellers may use this to create a profile for prospective B2B customers, creating sections on founders, recent press coverage, site traffic, etc.

The seller may also interact with the Agent, which surfaces answers to their questions.

As a final example, consider the Customer Executive Briefing Agent. This collaborates with the Company Research Agent to turn the customer profile into a handy guide.

The seller may then convert that guide into an audio file so reps can listen to it during their daily commute.

While these are three excellent examples, there are hundreds more and – before the end of the year – likely thousands.

After all, Shah wants to build a platform where approved builders and partners can develop new agents that go onto the network.

So, similar to IOS, “Agent.ai” will become a true platform that grows with its community.

As it does so, Shah wants CX teams to rethink their day-to-day flows and consider: can we leverage an agent or build one ourselves to enhance and automate this?

In doing so, he hopes to change how employees work with AI. Instead of leveraging agents as assistants, they’ll become part of a hybrid team, completing tasks autonomously, crunching data, and sharing advice.

Summing up his INBOUND presentation, Shah noted:

Our vision is this: There’s an agent for that—for every marketing, sales, and customer service use case imaginable, including the ones we haven’t thought of yet.

Those wishing to test out Agent.ai may sign up for free and receive 100 credits to get their AI Agent journey up and running.

 

 

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