Microchip to Acquire Hailo

photo above: Raspberry Pi 5 whith Hailo AI Accelerator

Microchip Technology has signed a definitive agreement to acquire Hailo, a Tel-aviv based provider of accelerated edge AI processors and comprehensive AI software flows. The transaction is expected to close towards the end of the current quarter ending September 30. The terms of the transaction are not being disclosed. The proposed acquisition is expected to expand Microchip’s portfolio for intelligent edge systems and strengthen its ability to deliver edge AI solutions for intelligent edge applications, including drones, robots, smart cameras, industrial automation and embedded AI systems.

With Hailo-8, Hailo-10 and Hailo-15 processors, Microchip will gain a portfolio that supports classic computer vision, while adding advanced camera, ISP, DSP, video encoding and AI video stream processing capabilities for intelligent edge systems. The Hailo acquisition brings multiple products, more than 100 current customers and an established developer community of more than 10,000 users. Its portfolio spans both edge AI accelerators and vision SoCs supporting workloads and capabilities including CNNs, transformers, LLM/VLM workloads, Image Signal Processing, DSP, H.264/H.265 encoding and AI video stream processing.

The transaction would also bring a demand-generation engine for edge AI adoption. Hailo’s Raspberry Pi ecosystem, gated Developer Zone, GitHub activity and community forum create a self-sustaining funnel that converts developer engagement into qualified opportunities and customer pipeline. “Microchip’s customer reach, channel scale and broad technology portfolio would create a strong platform for bringing advanced vision processing and AI acceleration to broader range of intelligent edge applications,” said Hailo CEO Orr Danon.

A Unicorn That Lost Its Shine

Hailo was founded in 2017 by veterans of IDF elite Military Intelligence technology unit. The company was established around a fundamentally new computing architecture designed specifically for deep learning workloads, enabling real-time AI tasks such as object detection while significantly reducing power consumption, chip size, and cost. Since its inception, Hailo has raised approximately $340 million in funding.

In its latest financing round, completed in April 2024, the company secured $120 million. According to a Reuters report, the round valued Hailo at approximately $1.2 billion, earning it “unicorn” status. At its peak, Hailo employed around 250 people. In early June 2026, Hailo announced the layoff of approximately 110 employees – nearly half of its workforce – as part of a broad restructuring initiative aimed for “aligning the organization’s structure with the next phase of its growth.”

Strategic Partnership Between Microchip and Ceva in AI

Herzliya-based Ceva (NASDAQ: CEVA), a leading provider of IP for semiconductor manufacturers in wireless connectivity, smart sensing and AI, announced a long-term strategic collaboration with Microchip Technology, one of the world’s leading semiconductor companies and a major player in the embedded systems market. Under the agreement, Microchip will incorporate Ceva’s NeuPro NPU AI processors into a wide range of its products, spanning from embedded devices to next-generation GenAI applications. Following the announcement, Ceva’s stock gained around 2.8%, bringing its market capitalization to approximately $650 million.

Ceva’s NeuPro AI processors are designed to accelerate AI workloads at the edge, providing high performance with low power consumption. As part of the collaboration, Microchip will also integrate Ceva’s NeuPro Studio development environment into its SDKs, enabling developers to train, import, and optimize AI models directly onto Microchip hardware.

Ceva CEO Amir Panush said, “Artificial intelligence is becoming a fundamental component of every device and system—from the phone to the data center.” Mark Reiten, VP of AI at Microchip, added that the partnership with Ceva “brings rich AI capabilities to markets where cost and power consumption have traditionally been key barriers.”

Headquartered in Arizona, Microchip Technology is among the world’s largest suppliers of embedded semiconductors, with a strong presence in microcontrollers, communication components, and power management ICs for automotive and industrial markets. The collaboration with Ceva aims to position Microchip at the forefront of the Edge AI revolution, offering its customers fully integrated hardware–software AI solutions.