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MindMeld

251 Kearny St Ste 400, San Francisco, California, 94108, United States

Overview

Expect Labs builds the MindMeld API, a platform that lets apps and websites add voice-controlled, knowledge-graph-driven interfaces. The API is used to power voice search and conversational navigation across content such as video libraries, e-commerce product catalogs, and recipe workflows. The company reports nearly 1,000 companies have started using the MindMeld platform, spanning small startups to larger enterprises. Expect Labs currently employs 18 people and plans to grow to 50–60 employees within a year using its new funding. CEO Tim Tuttle says the company helps larger clients map existing apps and databases to deploy the API effectively. With the Series A capital, Expect intends to expand distribution and bring its API to more companies. Expect Labs offers MindMeld, an API that enables voice-controlled search and content discovery for apps and websites. The company recently launched the MindMeld API to let users intuitively query large datasets with natural language. Expect Labs assists partners by adapting existing datasets into knowledge graphs or integrating MindMeld with partner APIs. CEO Tim Tuttle says the company will help government agencies use the same MindMeld technology to dig through large sets of information. The firm works with strategic partners to get them up and running on MindMeld and customizes deployments to partner needs. Previous investors include Google Ventures, Intel Capital, Greylock Partners, and others. Expect Labs is developing the Anticipatory Computing Engine (ACE), a system that listens to conversations and surfaces contextually relevant information before users ask. The company demonstrated an iPad app prototype called MindMeld and plans a consumer iPad launch by the end of the year. Expect Labs has attracted multiple strategic investors as it positions ACE for embedding in devices and services across mobile, chip, carrier and connected‑home ecosystems. Its backers include Samsung, Intel, Telefónica and the newly announced strategic investors IDG and Liberty Global. The startup previously raised a $2.4 million seed round and says its coffers are swelling as it hires to support partners and an expected consumer influx. Major technical challenges it faces include readying ACE for broad use and adding multilingual support beyond the current English‑only alpha. Expect Labs develops an Anticipatory Computing Engine and demonstrated a MindMeld iPad app that listens to and analyzes conversations to surface relevant information at the moment it’s needed. The company was founded in 2011 by Tim Tuttle and Moninder Jheeta and is based in San Francisco. Its technology targets voice-centric interactions across devices and contexts, including smartphones, ultrabooks, and smart TVs. Expect Labs has shown use cases such as surfacing a map link in a dialer after a phone conversation. The team currently consists of about 12 people and the company plans to expand hiring with the new capital. Public launch timing for the MindMeld app has been deprioritized while the company refocuses priorities. Expect Labs develops an Anticipatory Computing Engine (ACE) that analyzes multi-party conversations and provides contextual pictures, videos, and articles in real time without explicit user input. The company showcased an iPad app called MindMeld as the vanguard of that technology. Expect Labs plans to launch a Developer Platform next year to encourage integration of its ACE into enterprise apps (video conferencing, call centers) and consumer-facing services. The startup was co-founded by Tim Tuttle and Moninder Jheeta and aims to deploy ACE across a range of devices. Financially, the company has just secured fresh capital to execute on those plans. The team intends to use the funding to build out the platform and expand integrations.

Total raised
$15M
Funding rounds
5
Latest round
Series A
Latest activity
Dec 2014

Industries

  • Artificial Intelligence (AI)
  • Machine Learning
  • Mobile
  • Semantic Search
  • Software
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Recent funding

  1. Series A

    Dec 2014

    $13M

  2. Equity

    Oct 2012

    $2M

Team

No current team members are available.