Generative AI is dominating discussions in the technology world and a new startup from San Francisco is eager to prove that it’s not just a fad. Ema, their product, is now stepping out of stealth mode and aims to revolutionize how we utilize AI, specifically generative AI, in our daily work.
“Our goal is to build a universal AI employee,” said Surojit Chatterjee, the CEO and co-founder. “Our aim is to automate mundane tasks in enterprises and free up employees to focus on more valuable and strategic work.”
Ema has already managed to raise an impressive $25 million from an impressive group of investors and clients, which includes Envoy Global, TrueLayer, and Moneview. The company’s two products, Generative Workflow Engine (GWE) and EmaFusion, are designed to “emulate human responses” and adapt with feedback, making them stand out from traditional robotic process automation and AI applications.
Ema utilizes over 30 Large Language Models and combines them with their own domain-specific models to address issues of accuracy, hallucination, and data protection, among others.
Investors are excited about Ema’s potential for success. Co-leading the funding round are Accel, Section 32, and Prosus Ventures, with Wipro Ventures, Venture Highway, AME Cloud Ventures, Frontier Ventures, Maum Group, and Firebolt Ventures also participating. Notable individual backers include Sheryl Sandberg, Dustin Moskovitz, Jerry Yang, Divesh Makan, and David Baszucki.
“There are already dozens, maybe hundreds, of companies building GenAI tools for enterprises,” TechCrunch notes. “If you’re wondering why this particular GenAI startup is capturing attention from these investors, some of that might be because of the fact that they’re already drumming up business. But it’s also because of some of the background of the team.”
Ema’s co-founders, Surojit Chatterjee and Souvik Sen, bring with them impressive experience from companies like Coinbase, Google, and Okta. Chatterjee holds 40 patents in areas like machine learning enterprise software and ad tech, while Sen has 37 patents and was previously VP of engineering at Okta and a data and machine learning engineer at Google.
Their combined expertise gives weight to Ema’s ambitions and its potential for execution. Chatterjee’s background in e-commerce and adtech could play a role in the company’s future strategies, while Sen’s experience in data protection and privacy is crucial in today’s world of AI and technology.
Investors also see potential in Ema’s ability to cut across different Large Language Model silos and cater to various use cases, making it a versatile and valuable solution for businesses. “Ema can solve for these problems and deliver high accuracy with optimal return on investment,” says Ashutosh Sharma, head of investments for Prosus Ventures in India.
As the world of LLMs continues to evolve and become more commoditized, Ema’s ability to bridge different use cases could give it a competitive edge in the market. With a Silicon Valley mindset, Ema is focused on using technology to help businesses achieve their goals and make the best use of their data. Its success will be a testament to the potential of generative AI in the business world.
