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LatticeFlow

LatticeFlow is empowering organizations to build and deploy robust AI they can understand and trust.

Zürich, Zurich, Switzerland

latticeflow.ai/

2020

Sensible 4

Sensible4 is an autonomous driving software company that develops self-driving vehicles for all-year round use to operate smoothly and safely in changing conditions. It offers self-driving expertise to vehicle manufacturers, automotive suppliers, cities, and mobile operators. Sensible4's SAE level solution is based on the integration of AI sensor fusion. The self-driving solution consumes very little energy and requires only a minimal amount of resources. Their goal is to have self-driving shuttle fleets operate as a part of cities’ existing transportation systems. Sensible4 was founded in 2017 and is headquartered in Espoo, Southern Finland, Finland.

Espoo, Southern Finland, Finland

2017

Smartvid io

Smartvid.io enables the AEC industry to significantly reduce jobsite risk by combining the best of human and artificial intelligence. Smartvid.io's Safety Suite includes Safety Observations, Safety Monitoring and Predictive Analytics products that combine to give project teams and management the ability to predict and prevent incidents - saving lives and preserving timely project delivery. Getting started is easy with pre-built integrations to Autodesk BIM360, Procore, Oracle Aconex, SharePoint, Egnyte, Box, and other data sources. See it in action at www.smartvid.io.

Cambridge, Massachusetts, United States

2015

e-bot7

e-bot7 integrates Artificial Intelligence to increase the efficiency of Customer Service. Through its pre-trained machine learning algorithms, the system can automate answers and processes and suggest the best answers to agents. This reduces average handling times, increases sales, and saves up to 80% of costs.

München, Bayern, Germany

e-bot7.com

May 15, 2016

envelio

envelio provides the software as a service solution Intelligent Grid Platform to assist grid operators in the next phase of the energy transition. With algorithms based on artificial intelligence and mathematical optimization, planning and operation processes in distribution grids are enabled for the integration of millions of distributed energy resources and data from smart meters. Smart Grid Technologies are fully integrated into the grid operators’ toolbox to tackle challenges in the power grid.

Köln, Nordrhein-Westfalen, Germany

envelio.com

2017

Bunker DB

We are a martech company specialized in helping marketing teams to be more efficient in their decision-making process by using data, science and AI. Our technology centralizes an unlimited number of information, from multiple platforms and devices, and displays it in a friendly interface for further analysis. With 8+ years of experience and 10 offices, we become one of the leading omnichannel analysis platforms in Latam. Our proprietary technology is currently used in 20+ countries by 1.2k brands, such as Walmart, Nestlé, L'Oréal, Scotiabank, KFC, Glaxo, Samsung, Pepsico, Tigo, Telefónica, Liberty, Coca Cola, Ita

Montevideo, NA - Uruguay, Uruguay

bunkerdb.com

Oct 5, 2014

Talix

Talix provides risk adjustment, quality and oncology solutions to help providers, payers and life science organizations succeed in value-based healthcare. Our leading-edge SaaS applications leverage purpose built NLP, machine learning and advanced patient data analytics to transform complex data into actionable intelligence that drives improved efficiency and accuracy—leading to better patient outcomes, more accurate reimbursements and reduced costs.

San Francisco, California, United States

2015

Xbiome

Xbiome is the first AI pharmaceutical company in China that specializes in intestinal micro-ecology. It is based on intestinal micro-ecology and relies on AI technology to accurately and personally manage the gut health of 1.3 billion people. The company uses artificial intelligence to analyze patient and donor intestinal (gut) flora to more quickly develop effective pharmaceuticals.

Shenzhen, Guangdong, China

xbiome.cn/

2017

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