AIStorm, a manufacturer of specialized computer processors for sensors that detect events or changes in their environment, is coming off the stealth mode with $ 13.2 million in seed funding.
Series A was led by Egis Technology Inc., a provider of biometric technology for handsets, games and advanced driver assistance systems. The image sensor manufacturer TowerJazz, the maker of food preparation equipment Meyer Corp. and Linear Dimensions Semiconductor Inc., manufacturer of biometric authentication products and digital health products, also participated in the session.
This is not your usual type of investor for a tech-related startup, but their interest in AIStorm is not surprising given the usefulness of new computer chips.
AIStorm has developed an "AI-in-Sensor" on-chip system that allows complex artificial intelligence problems to be dealt with more quickly at the very edge of the network. The chip is designed to be integrated with sensors embedded in mobile devices, "Internet of Things" machines and autonomous cars, and processes the data directly.
The company believes that processing sensor data directly at the edge of the network can help reduce costs and eliminate the security risks of transmitting large amounts of raw data to the cloud for processing.
Data processing at the periphery is not new in itself, but that's what AIStorm does. Traditional AI systems usually require that data be encoded in a digital format before it can be processed, but sensory data is usually generated in analog form.
Transformation of this data is expensive and time consuming. It requires extremely powerful graphics processing units to perform the processing. But these GPUs are not suitable for mobile devices and other low power devices because they require continuous digitization of input data, consuming a lot of energy during the process.
AIStorm's low-power SoCs eliminate the need to transform data into digital format because they process information directly from sensors while still in native analog form. The processed data can then be used to form artificial intelligence and machine learning models for a wide range of different tasks, the company said.
"By combining the processing chip with the sensor, we can provide efficient and extremely fast processing of sensor data even at the periphery," said David Schie, co-founder and general manager of AIStorm. "This offers two huge benefits. It reduces response latency and eliminates the need to send data over the network to another processor for machine learning and decision-making. "
AIStorm technology is expected to accelerate data processing and artificial intelligence in dozens of different sectors. The company is therefore targeting several technologies at the same time, said Schie. They include smartphones, computer vision, apparel technologies, IoT, automotive, restaurant services, AI assistants, security, biometric devices and apps. 39; imaging.
These are all markets that AIStorm investors are concerned about, which partly explains why they are so eager to contribute to the financing of its technology.
"When we introduced this concept to potential customers and business partners, they said it was so compelling that they wanted to incorporate it into their offerings as quickly as possible," Schie said. "They invested in AIStorm to accelerate our commercialization."
Schie added that the company would use these funds to accelerate its engineering and marketing efforts and to "bring a new type of machine learning to the forefront of technology."
Image: Beear / Pixabay
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