Cephia builds ultra‑compact neural nano‑optic sensors that combine nanophotonic structures with AI‑driven processing to capture multiple visual modalities—including real‑time spectral data—on a single chip. By embedding wavelength‑selective filtering and on‑sensor spectral decomposition into a sub‑millimeter CMOS‑compatible device, Cephia enables low‑power, multimodal imaging for automotive ADAS, robotics, AR/VR, and industrial inspection applications.
Funding
Funding not disclosed
Founders
Product
Problem
Conventional imaging sensors are often large, single-modality devices that lack real-time spectral analysis, limiting their use in applications that require compact, multimodal visual intelligence.
Solution
Cephia develops neural nano-optics that integrate nanophotonic structures with AI-driven processing to create ultra‑compact sensors capable of capturing multiple visual modalities simultaneously. Their technology enables real-time spectral intelligence, allowing devices to extract detailed wavelength information alongside standard intensity and depth data without bulky optics or separate spectrometers. By embedding computational imaging directly into the sensor layer, Cephia’s solution reduces size, power consumption, and system complexity while delivering richer visual data for downstream algorithms.
Target Audience
Primary customers are manufacturers of compact imaging systems for automotive ADAS, robotics, AR/VR devices, and industrial inspection that require multimodal visual data and on‑device spectral analysis.
Features
- Neural nano-optic elements that perform wavelength-selective filtering and focusing at the chip level
- Integrated AI inference pipeline for on‑sensor spectral decomposition and multimodal data fusion in real time
- Sub‑millimeter form factor suitable for embedding in mobile, automotive, and robotic platforms
- Low power consumption achieved through joint optical‑computational design, eliminating the need for external spectrometers
- Compatibility with standard CMOS imaging pipelines and existing camera interfaces