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Sherpa.ai

Sherpa.ai is the most advanced and robust platform for Privacy-Preserving AI that allows to train AI models collaboratively without sharing any data. The platform is based on Federated Learning and integrates other Privacy Enhancing Technologies such as Homomorphic Encryption, Secure Multiparty Computation, Differential Privacy as well as other proprietary PETs like Blind Learning.

Bilbao, Pais Vasco, Spain

sherpa.ai

2012

MWM

MWM, the leading publisher of creative apps, was established in 2012 and boasts over 600 million downloads globally. The company is committed to pushing the boundaries of innovation and is dedicated to developing internal AI technologies to create user-friendly products. MWM's portfolio includes popular apps such as edjing MIX, Color Pop AI, Stemz, Moments, among others.

Paris, Ile-de-France, France

mwm.io/

2012

Veniam

Veniam is accelerating future mobility and making places more human by delivering intelligent networking software for delivery fleets, dash-cams, telematics providers, connected cars, autonomous vehicles, and other mobile IoT devices. With an IP portfolio of more than 140 issued patents, Veniam makes the most out of all available networks (4G/5G, Wi-Fi, V2X, etc.), moving massive amounts of data between vehicles and the cloud -- all with the lowest GB price, quality of service and security profiles. Best known for its mobile Wi-Fi offload solution and city scale vehicle mesh networks, Veniam works closely with the world’s largest fleets, Auto OEMs, and Tier 1 suppliers. Ultimately, Veniam's purpose is to improve the lives of millions of people by securely managing the data flows of a new and emerging mobility ecosystem – the Internet of Moving Things – in which connected vehicles not only move people and goods more efficiently but also expand Internet coverage, deliver new human experiences and gather valuable data for smart city applications. Named by CNBC and NASDAQ as one of the 50 most disruptive companies in the world, Veniam is a global company with headquarters in the United States, Engineering Center in Porto, Portugal, and sales offices in Detroit, Munich, and Tokyo. It was founded in 2012 and is headquartered in Mountain View, California.

San Francisco, California, United States

veniam.com

Mar 14, 2012

Jibo

Founded in 2012, Jibo is widely known for creating the eponymous robot, Jibo: the first social robot for the home. Jibo is built to interact and communicate with the people around him, and he uses advanced Natural Language Understanding (NLU) along with speech and facial recognition to forge relationships with his family. Jibo, Inc. officially launched Jibo to the public in 2017 after nearly three years of intensive development and optimization. The company is privately held and headquartered in Boston.

Boston, Massachusetts, United States

2012

BlueData Software

BlueData provides the leading container-based software platform for AI, machine learning, data science, and big data analytics focuses on helping enterprises to accelerate their deployments, with faster time-to-value and lower TCO. The BlueData platform leverages Docker container technology and patented innovations to make it easier, faster, and more cost-effective to deploy Spark, Kafka, TensorFlow, Hadoop, and other AI / ML / DL and big data.

Santa Clara, California, United States

2012

Teralytics

Teralytics provides an unrivalled insight into people’s mobility needs. Our mission is to transform how people’s journeys are planned, operated and accounted for. Using big data and advanced machine learning to arrive at transformative insight, we help our customers to create sustainable mobility solutions that work for everyone, now and in the future. From improving journey times and making sure that mobility options are accessible to everyone, to increasing operational efficiencies and reducing environmental impact - Teralytics insight helps tackle some of the crucial mobility challenges of our time.

Zürich, Zurich, Switzerland

2012

Kando

Kando is an end-to-end solution that creates continuous awareness of events in the collection system. Kando enables utilities to remotely and continuously improve their operations by providing the following features: • Realtime wastewater quality data across the collection system • Pinpoint sources of pollution • Early warnings of damaging WWTP influent quality • Machine learning that evolves with your network • Autonomous sampling units • User fee calculator • Customized pollution alerts • A user-friendly, online interface • Detection of COVID-19 infection rates (New) The combination of these actionable insights results in: • Reduced CAPEX/OPEX • Greater WW reuse capabilities • Improved public health • Cleaner environments Kando has been deployed in Los Angeles, Milan, Brisbane, and many other cities. To gain a greater understanding of how our system can help your organization, visit our homepage at www.kando.eco.

Kokhav Ya'ir, HaMerkaz, Israel

Kando.eco

Jan 1, 2012

Alegion

Alegion is the data labeling solution for enterprise-grade Machine Learning. We lead the industry in streaming, high-resolution, high-density video annotation, delivering accurately-annotated, model-ready data to train and validate ML models. Alegion provides both the platform and workforce to operate with quality at scale, processing structured and unstructured data including video, image, audio, and text. Our platform supports complex use cases, powered by robust ontologies and entity relationships.

Austin, Texas, United States

2012

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