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 Q1 FY2027 revenue of $100.4 million, up 16.9% YoY from $85.9 million in the prior-year quarter. GAAP gross margin fell to 58.4% from 60.0%, while GAAP net loss narrowed to $18.1 million ($0.41 loss per share) versus $24.3 million ($0.58 loss per share) a year ago. On a non-GAAP basis, gross margin was 59.9% versus 62.0%, and the company swung to a $5.0 million net profit ($0.11 EPS) from a $3.0 million profit ($0.07 EPS) in the prior year. Automotive revenue hit an all-time record, driven by AI penetration in commercial vehicles. Management emphasized demand strength for edge AI and highlighted new products targeting advanced AI workloads at higher average selling prices. For Q2 FY2027, the company guided revenue of $105.0–$111.0 million and non-GAAP gross margin of 59.0–60.5%.
Q2 FY2027 revenue $105.0–$111.0M; non-GAAP gross margin 59.0–60.5%; non-GAAP operating expenses $56.0–$59.0M

Ambarella uses AI agents to abstract its SDK, letting ISVs port applications to its hardware in days.

Ambarella licenses next-generation video CODEC IP from Chips&Media for edge AI and computer vision applications.
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.
36 patents on file, but none with both an extractable figure and an abstract on Google Patents yet.
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