AI agent startup founded by former Google and Okta employees Ema In Series AFinancingThe company has raised another $36 million in a round led by Accel and Section32, bringing its total funding to $61 million.
Ema said the funding will be used to further develop its proprietary technology, which enables enterprises to configure and deploy code-free AI Agent, which is what Ema calls "general AI employees" who are capable of performing a variety of cross-functional tasks.
“Our goal at Ema is to help companies automate most of the mundane tasks that employees do today, freeing them up to do more valuable work within the business,” said Surojit Chatterjee, CEO and co-founder of the company. “We built Ema like a general-purpose AI employee that can play any role in the business, from customer support and employee experience to sales and marketing to legal and compliance.”
Ema emerged from stealth mode a few months ago and has since made significant progress, with its AI workforce deployed in organizations across sectors such as fintech, legal, healthcare, and e-commerce.
Before the rise of OpenAI's ChatGPT in late 2022, businesses automated basic tasks such as customer support by deploying rigid, process-based chatbots in their systems. But these products failed to provide the answers customers expected because they lacked contextual knowledge and learning capabilities. However, when large language models (LLMs) emerged, the chatbot experience was completely upgraded, eventually giving rise to the concept of powerful AI agents.
Ema brings this kind of universal AI employee experience, providing enterprises with an agent system that can take on any role in the organization. At its core, it provides a code-free agent platform where users can access a library of pre-built AI employee templates. Once the user selects an agent for a specific use case, the platform guides the conversation to help users quickly fine-tune and deploy the final AI employee.
Ema's agent deployment experience is driven by a generative workflow engine that generates workflows and related orchestration code, and selects appropriate agents and design patterns. To ensure that deployed agents work accurately, the company also leverages a 2T+ parameter hybrid expert model called EmaFusion. At the same time, users can insert private customized models trained with their own data to guide the behavior of AI employees, and the company also has powerful data protection and security algorithms.
While the CEO didn’t share exact revenue or client details, he noted that the number of companies using Ema has tripled since it came out of stealth in March 2024, covering sectors such as fintech, law, healthcare, e-commerce and insurance.
Next, the company will use the funds to further develop its technology and expand its marketing team to better meet the needs of potential customers. But in this rapidly expanding market, it will be worth paying attention to how Ema continues to stand out, after all, there are many competitors such as Decagon, Yellow AI, Cognigy, Rasa and Kora AI.