Talla Raises $8.3M to Build Chatbots for Enterprises

Talla Raises $8.3M to Build Chatbots for Enterprises

Boston-based startup, Talla raised an 8.3 million Series A round led by PJC, Glasswing, Avalon Ventures, Pillar and Jason Calacanis’s Launch fund. Talla hopes that this round of funding will enable them to support many other knowledge bases, and service desk tools as integrations.

Talla’s mission is to minimize the time consuming administrative parts of your job, so you can focus on doing the work you love. Talla uses a virtual assistant tool that works as an IT or HR Help Desk to help companies manage and prioritize inquiries, automate answering FAQs, and proactively educate your employees, all within chat apps like Slack and Microsoft Teams.

Employees can interact with the Service Assistant by asking questions, such as “Do we have Labor Day off?” The question then gets processed and answered by a human and can simply tell the employee yes or no. As new technology emerges, this text-based messaging assistant will transform the way we access information in the workplace.

Rob May, CEO and co-founder, says the vision is for Talla to grow from a to-do-list helper to an all-around workplace assistant. Talla plans to offer a free version of its technology, and to charge for more advanced versions.

What sets Talla apart from the market place?

Integrations: Talla is heavily focused on integrations. Today, they can read in data from Confluence and Google Docs to help train Talla and provide automated answers. May hopes that this round of funding will enable us to support many other knowledge bases, and service desk tools as integrations.

Natural Language Processing: Talla is focused on an area of artificial intelligence known as “natural language processing” that teaches software programs to decipher the wide variety of ways humans can phrase the same question or command. Talla is using its AI capability to build a chatbot that can handle basic tasks within an organization’s human resources or IT operations.

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