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February 07, 2016 1:27 PM ET

Internet Software and Services

Company Overview of MindMeld, Inc.

Company Overview

MindMeld, Inc. develops a platform that adds voice interfaces, including question-answering and language-understanding capabilities, to applications and devices. It allows users to browse through music and video content, check weather, and work with connected home devices. The company was formerly known as Expect Labs, Inc. and changed its name to MindMeld, Inc. in December, 2015. MindMeld, Inc. was founded in 2011 and is headquartered in San Francisco, California.

251 Kearny Street

Suite 400

San Francisco, CA 94108

United States

Founded in 2011

Key Executives for MindMeld, Inc.

Founder and Director
Board Observer
Age: 47
Compensation as of Fiscal Year 2015.

MindMeld, Inc. Key Developments

MindMeld Unveils New Platform to Enable Every Enterprise to Build its Own Star-Trek-Like Voice Assistant

MindMeld (formerly Expect Labs) announced the launch of MindMeld 2.0, the first technology platform for creating large-scale language-understanding and question-answering capabilities on apps and devices for any custom content domain. This platform enables enterprises to leverage their own proprietary data collections for the first time towards creating cutting-edge voice experiences which surpass the performance of general-purpose, consumer voice products like Siri, Cortana or Amazon Echo. MindMeld 2.0 represents the next generation of this powerful platform and is currently in trial by online services, including music streaming service Spotify. MindMeld 2.0 is specifically designed to enable enterprises to create advanced voice interfaces that are demonstrably intelligent and accurate for search and navigation of any custom content domain. MindMeld 2.0 is the only technology solution to offer: Natural language understanding technology that demonstrates human-like accuracy for any custom content collection; Advanced question-answering capabilities which deliver exceptional performance for truly large vocabulary domains that may contain billions of possible questions; Flexible deployment options, including a managed cloud offering as well as on-premise enterprise configurations.

MindMeld and Sense.ly Launch Solution to Enable a New Generation of AI-Powered Healthcare Applications

MindMeld announced a new solution in partnership with Sense.ly "virtual nurse" application that provides proven, personalized patient monitoring and follow-up care. MindMeld and Sense.ly are leveraging the latest advances in artificial intelligence to build customized virtual assistant applications for the healthcare industry. MindMeld's platform leverages innovative AI technology and helps healthcare providers deliver around-the-clock access to medical expertise. The combination of Sense.ly's telemedicine platform and MindMeld's AI allows users to have their own intelligent, interactive virtual nurse. Using Sense.ly's smartphone application, a patient can interact with a compassionate nurse avatar using simple voice commands and ask a wide range of health-related questions. MindMeld's AI technology is used to understand the meaning of the spoken questions and provide answers or relevant medical information. If necessary, the application can connect the patient to a nurse or a doctor via a video visit. Since many common requests can be addressed without requiring a doctor or nurse consultation, this technology promises to reduce costs while maintaining a high quality of care.

Expect Labs Closes Strategic Investment and Technology Development Agreement with In-Q-Tel

Expect Labs reported that it has closed a strategic investment and technology development agreement with In-Q-Tel. Expect Labs is the creator of the MindMeld API. Through this partnership, Expect Labs will apply its MindMeld API to voice-enable a range of potential applications for use across U.S. government agencies. Their solution has great potential for creating next-generation, contextual search experiences that can allow government to work more efficiently and derive insight from big data content.

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