Ambarella (AMBA) is a publicly traded Edge AI company founded in 2004 and based in Santa Clara, USA.
| Date | Stage | Amount | Valuation | Lead investors |
|---|---|---|---|---|
| Oct 10, 2012 | IPO | $36M | — | — |
| Feb 1, 2006 | Series C | $15.4M | — | Walden International, Benchmark Capital |
| Feb 17, 2004 |
| Series A |
| — |
| — |
| Benchmark Capital, Walden International |
Ambarella reported Q2 fiscal 2027 revenue of $108.1 million, up 13.2% year-over-year from $95.5 million. GAAP gross margin declined to 57.7% from 58.9% year-ago, while GAAP net loss improved to $6.7 million ($0.15 per share) from $20.0 million ($0.47 per share). On an adjusted basis, the company reported net income of $8.2 million ($0.18 per share) versus $6.4 million ($0.15 per share) in the prior-year quarter. Edge AI revenue reached record levels with balanced growth in automotive and IoT markets driven by 5nm CV75 and CV72 AI SoCs. The company launched its first stand-alone AI accelerator, the X7, and signed 7-year distribution agreements with Macnica and CapGemini to expand market reach. For Q3 fiscal 2027, the company guides revenue of $115.0–$124.0 million and adjusted gross margin of 59.0–60.0%.
Q3 FY2027 revenue $115.0–$124.0M; adjusted gross margin 59.0–60.0%; adjusted operating expenses $56.5–$59.5M
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A family of automotive-grade SoCs that integrate an image signal processor, ASIL-D safety islands, and a neural-network accelerator in a single low-power package. CV3-AD targets Level 2+ through Level 4 ADAS and autonomous driving applications and is designed as an energy-efficient alternative to discrete GPU-based compute platforms in vehicles.
Introduced in January 2024 and expanded in January 2025, the N1 series repurposes Ambarella's CV3-HD architecture for on-premise generative AI. The flagship N1-655 decodes 12 simultaneous 1080p30 video streams while concurrently running multiple vision-language models (VLMs) — including Phi, Gemma, LLaVA-OneVision, and Llama — under 20 W. Targeted at AI boxes, autonomous mobile robots, and smart-city security cameras.
Mid-range edge-AI SoCs for security cameras, drones, and industrial vision. The CV5 family integrates Ambarella's CVflow neural-network inference engine with advanced ISP and H.265/H.264 encoding, enabling real-time object detection and classification at very low power. A core volume product for the security-camera OEM market.
Ambarella's proprietary AI inference engine embedded across its SoC families. CVflow is a vector-processor architecture optimized for convolutional and transformer networks, providing the shared compute fabric that underpins the CV3-AD, CV5, and N1 product lines. Customers deploy CVflow-based chips with Ambarella's SDK and model-optimization toolchain.
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