Capacity Expands its AI Capabilities by Acquiring Lang.ai to Enhance Customer Experience

Capacity Expands AI Innovations

In a significant move aimed at enhancing its capabilities, Capacity, a well-established AI-powered support automation platform, has announced its acquisition of Lang.ai, a San Francisco-based company specializing in AI analytics. This acquisition not only integrates Lang.ai’s advanced technology into Capacity's existing framework but also expands its service offerings to a broader range of customers, further solidifying Capacity's position as one of the leaders in support automation.

Founded in 2017, Capacity has quickly evolved to serve over 20,000 companies with its cutting-edge solutions. By incorporating Lang.ai, which was founded in 2018 and focuses on turning unstructured customer data into actionable intelligence, Capacity is set to enhance the overall customer experience.

The Importance of Agentic Analytics

Lang.ai has been known for pioneering agentic analytics in customer experience management (CX). Their tools enable teams to interact with both structured and unstructured data, deriving insights that help make informed business decisions rapidly. Notably, Lang.ai has catered to enterprise-level customers including notable names like Tinder and Rue Gilt Groupe, addressing common challenges related to transforming massive volumes of customer conversations into usable intelligence.

David Karandish, the CEO of Capacity, praised Lang.ai’s history of adaptation through various AI advancements, including Natural Language Processing (NLP) and AI agents. He emphasized that the integration of Lang.ai’s analytics into the Capacity platform would greatly enhance the company's ability to automate support while simultaneously improving the customer experience effectively and continuously.

A New Leadership Angle

With this acquisition, Jorge Penalva, the Founder and CEO of Lang.ai, will continue to drive innovation as he joins Capacity, leading efforts in AI analytics and evaluation. He expressed that this transition presents an opportunity to expand Lang.ai’s pioneering technology to a much larger scale, benefiting numerous companies with insights derived from their data.

“We built Lang.ai to turn messy customer data into decisions you can trust,” Penalva stated, underscoring the potential for growth and innovation within the Capacity framework.