Bragi was founded in 2013 and went live a year later on the crowdfunding platform Kickstarter. In 2018, Bragi introduced a new business focused on services and solutions with the presentation of Bragi nanoAI and Bragi Intelligent Edge.
Bragi Intelligent Edge software suite will allow Industries to reduce time and cost to market, enabling high frequency sensor processing to be combined with the lowest memory and processing footprint to date; while Bragi nanoAI offers the world´s most efficient artificial intelligence embedded in IoT devices.
Bragi helps companies design, develop and create solutions that meet specific needs for their industry or product offering and is working with companies from sectors like smart home/ city, consumer electronics, industrial, transportation, health and sports gear & garment, among others.
Bragi Intelligent Edge
Bragi Intelligent Edge brings the power of machine learning and data-centric algorithms to tiny autonomous embedded systems. This technology makes small devices intelligent, configurable and accessible to wide ranging applications and hardware platforms. Additionally, provision is made for networking over almost any available connection to enable distributed clouds of collaborating devices.
A comprehensive software suite for rapid development and deployment of efficient, machine learning based algorithms for embedded, ultra-low power devices. this covers all domains:
› data acquisition/manipulation,
› model/feature setups,
› training and continuous performance evaluation,
› code generation.
Bragi nanoAI supports various machine learning paradigms from neural networks to probabilistic models, from offline-trained algorithms to online learning on embedded devices with a strong focus on time-series sensor data.
Provides devices running BragiOS with highly abstracted network access. Any transport layer, such as BLE, Zigbee, NFMI or WiFi can be adapted to give applications on BragiOS devices access to other Bragi devices, smartphones or cloud hosted services: peer-to-peer, forwarded within a meshed network or through a remote server backend infrastructure. Functions such as firmware updates, configuration changes, remote debugging sessions or application layer streaming can then be delivered to these devices to enhance their value.
For more information, please feel free to contact Darko Dragicevic, Executive Vice President at Bragi.