Find Investable Startups and Competitors
Search thousands of startups using natural language—just describe what you're looking for
Top 50 Cmos Image Sensor
Discover the top 50 Cmos Image Sensor startups. Browse funding data, key metrics, and company insights. Average funding: $230.7M.
Sort by
Qurv
Qurv develops scalable wide-spectrum image sensors using QSTACK™ technology and CMOS ROIC platforms to enhance computer vision capabilities in various lighting and atmospheric conditions. Their sensors significantly reduce background noise and improve object identification, enabling industries to achieve greater autonomy and intelligence in their operations.
Funding: $2M+
Rough estimate of the amount of funding raised
Micron
Micron Technology manufactures DRAM, flash memory, and CMOS image sensors, providing essential components for data storage and processing in various electronic devices. Their products enhance performance and reliability in computing systems, addressing the growing demand for efficient memory solutions in an increasingly data-driven world.
Funding: $1B+
Rough estimate of the amount of funding raised
Meridian Innovation
Meridian Innovation develops CMOS thermal imaging sensors that provide non-contact temperature sensing for smart appliances and enhance safety in low-visibility conditions. Their cost-effective solutions enable real-time thermal analysis, addressing the need for reliable thermal detection in both consumer and commercial applications.
Funding: $20M+
Rough estimate of the amount of funding raised
TriEye
TriEye develops a CMOS-based HD SWIR (Short-Wave Infrared) sensing platform that provides simultaneous imaging and 3D depth sensing in all visibility conditions. This technology enables enhanced perception for applications in automotive, robotics, and consumer electronics, addressing the limitations of traditional imaging systems in adverse weather and lighting scenarios.
Funding: $50M+
Rough estimate of the amount of funding raised
eyeo
eyeo develops advanced image sensors using nanophotonic color-splitting technology to eliminate absorptive color filters. This innovation significantly boosts light sensitivity for improved low-light performance and enables smaller pixel sizes for higher resolution in compact designs.
Funding: $10M+
Rough estimate of the amount of funding raised
eyeo
eyeo develops image sensors with maximum light sensitivity. This technology improves image capture in low-light conditions.
Funding: $10M+
Rough estimate of the amount of funding raised
AlpsenTek
AlpsenTek develops Hybrid Vision® technology, which integrates event-based and traditional image sensing within a single pixel to provide real-time data output for various applications. Their ALPIX™ series of sensor chips enhances visual capabilities in smartphones, consumer electronics, and intelligent security systems, addressing the need for efficient and versatile vision solutions.
Glass Imaging
Uses artificial intelligence to reverse lens aberrations and sensor imperfections in smartphone cameras, enabling DSLR-quality image capture on current and future devices. The custom neural image signal processor (ISP) boosts camera performance by up to 10x, eliminating noise, blur, and artifacts for a superior photography experience.
EYE4NIR
EYE4NIR develops germanium-on-silicon thin film image sensors that detect visible-near infrared (VIS-NIR) and short-wave infrared (SWIR) radiation within the same pixel. This technology enhances visibility in low-light and adverse weather conditions, improving safety in automotive applications and precision in industrial automation and agricultural inspections.
Funding: $3M+
Rough estimate of the amount of funding raised
Opsys Tech
Opsys develops pure solid-state LiDAR technology utilizing fully addressable VCSEL arrays and a single-chip addressable CMOS SPAD array, enabling high-resolution, ultra-fast scanning without moving parts. This semiconductor-based solution significantly reduces costs and enhances reliability for applications in automotive, smart cities, and industrial sectors, addressing the need for efficient and safe optical sensing systems.
Funding: $50M+
Rough estimate of the amount of funding raised
Prophesee
Prophesee offers event‑based neuromorphic vision sensors (Metavision) that output asynchronous brightness‑change events instead of full frames, delivering >10 k fps temporal resolution, >120 dB dynamic range, and sub‑10 mW power consumption. The sensors are supplied with a C++/Python SDK, MIPI/USB camera modules and evaluation kits, enabling OEMs to integrate low‑latency, low‑bandwidth visual perception into autonomous robots, drones, XR wearables and defense systems.
Funding: $20M+
Rough estimate of the amount of funding raised
Luxonis
Luxonis develops high-resolution cameras with depth vision and on-chip machine learning for real-time computer vision applications. Their technology enables users to implement advanced object detection and recognition capabilities in robotics and embedded systems, enhancing automation and perception in various environments.
Funding: $5M+
Rough estimate of the amount of funding raised
Living Optics
Develops affordable hyperspectral imaging cameras that capture spectral data at video rates, enabling applications in agriculture, healthcare, remote sensing, and colorimetry. These systems provide detailed insights beyond visible light, improving decision-making by revealing hidden information such as crop health, tissue types, and product appearance under varying lighting conditions.
Funding: $20M+
Rough estimate of the amount of funding raised
Seyond
The startup develops image-grade sensor systems that generate point clouds for self-driving vehicle perception, decision-making, and control. These systems enhance the ability of autonomous vehicles to navigate urban traffic, hazards, and abnormal conditions efficiently.
Funding: $200M+
Rough estimate of the amount of funding raised
VoxelSensors
The startup develops a sensor technology that integrates physical and digital environments through efficient three-dimensional perception systems, utilizing ultra-low power consumption and low latency by capturing new voxels with fewer than photons. This technology enables consumer electronics companies to enhance their sensing capabilities, addressing the need for more efficient and responsive sensor solutions.
Funding: $10M+
Rough estimate of the amount of funding raised
ATOM
Develops the ATOM H1, a hardware device that integrates with cameras to create cryptographically signed images, ensuring authenticity through unique sensor fingerprinting and secure data binding. This technology addresses the growing need for verifiable digital media by enabling photographers, organizations, and platforms to capture, store, and share trusted images, preventing misuse and distortion in an era of pervasive digital manipulation.
Helex
This company manufactures integrated circuits that combine compound semiconductors and silicon CMOS technology. Their chips are used in lighting systems, power electronics, and DC-to-DC converters, enabling improved performance and new functionalities in electronic applications.
AIRY3D
The startup develops a depth-sensing platform that transforms standard camera sensors into 3D imaging systems, producing correlated 2D images and depth maps. This technology enhances camera battery life and image quality, addressing the limitations of traditional imaging systems in various applications.
Funding: $10M+
Rough estimate of the amount of funding raised
SeeDevice Inc.
The startup develops AI vision systems utilizing quantum tunneling technology to create ultra-high performance photodetectors capable of capturing image data in real-time and low-light conditions without distortion. This technology enables global device manufacturers to implement unique applications that enhance user experiences in environments where traditional imaging solutions fail.
Funding: $5M+
Rough estimate of the amount of funding raised
Medlumics
The startup provides a modular medical imaging platform that uses a high‑sensitivity CMOS sensor and AI‑enhanced reconstruction to deliver ultra‑high‑definition, multi‑spectral images with reduced radiation dose. The hardware mounts onto existing X‑ray, CT, or ultrasound systems and outputs DICOM‑compatible data for PACS or cloud analytics, improving diagnostic confidence for radiology departments and research labs.
VOCSense
VOCSens develops self-calibrating, ultra-low-power multi-gas microsensors using patented CMOSEnvi™ technology, enabling precise measurement of various gases and volatile organic compounds (VOCs) for diverse industries. Their EnviCam® product line helps businesses meet regulatory compliance and enhance environmental safety by providing accurate gas concentration data.
Funding: $5M+
Rough estimate of the amount of funding raised
Prospectral
Prospectral develops ultra-compact spectral imaging cameras that utilize on-chip integration to capture spectral data essential for materials detection and analysis. This technology addresses the limitations of traditional RGB cameras, providing a cost-effective and robust solution for industries such as agriculture, recycling, and autonomous vehicles.
Funding: $1M+
Rough estimate of the amount of funding raised
Calterah Semiconductor
Calterah designs and develops CMOS single-chip millimeter-wave radar sensors for precise object detection and tracking in various applications. These sensors enhance situational awareness and improve safety in environments where traditional sensing technologies may fail.
Newsight Imaging
Newsight Imaging develops CMOS image sensor chips that utilize enhanced Time-of-Flight technology for high-speed depth measurement and 3D machine vision applications. Their sensors address the need for accurate, low-power solutions in automotive and industrial automation, enabling real-time decision-making and improved safety in environments such as smart cities and advanced driver-assistance systems.
Funding: $5M+
Rough estimate of the amount of funding raised
Newsight Imaging
Newsight Imaging designs and manufactures 3D CMOS sensor chips and spectral sensors for applications in automotive, robotics, and water quality monitoring, providing high-resolution depth perception and real-time spectral analysis. Their technology addresses the need for affordable, high-performance sensing solutions that enhance safety and efficiency across various industries.
Funding: $5M+
Rough estimate of the amount of funding raised
Corephotonics
Corephotonics delivers a full‑stack multi‑aperture camera platform for smartphones and other compact devices, combining compact lens modules, MEMS‑based zoom and optical‑image‑stabilization actuators, and on‑device AI image‑fusion software. The solution provides higher light throughput, accurate depth mapping and real‑time scene understanding while fitting within thin chassis and supporting high‑volume manufacturing. It targets mobile OEMs, automotive and AR/VR suppliers seeking integrated imaging modules with extensive patent coverage.
Autonomous Knight BV - Behault Group
The startup develops multi-spectral camera systems and sensors that utilize multispectral imaging for commercial autonomous security, environmental monitoring, and industrial automation in all weather conditions. By providing advanced analytical tools, the platform enables clients to extract insights from data, identify patterns, and classify objects for improved decision-making and operational efficiency.
Funding: $300K+
Rough estimate of the amount of funding raised
PxE
PxE has developed a chip-based 3D imaging technology that replaces traditional Bayer filters with a holographic imaging system, enabling the capture of RGB, infrared, and depth data from a single snapshot. This solution addresses the limitations of standard CMOS cameras by providing high-resolution images with precise depth information, suitable for cost-sensitive applications across various platforms.
Funding: $5M+
Rough estimate of the amount of funding raised
Spectricity
Spectricity designs and manufactures chip-sized spectral sensors that enhance color accuracy in mobile and consumer devices. By addressing the limitations of traditional camera systems, these sensors enable precise color analysis and imaging capabilities, transforming smartphone photography and other applications.
Funding: $20M+
Rough estimate of the amount of funding raised
Eon Space Labs
EON Space Labs develops high-resolution optical payloads for satellites and drones, utilizing a miniaturized design that significantly reduces size, weight, and power requirements. This technology enables real-time monitoring and surveillance of infrastructure and geographies, enhancing data accessibility for various users.
Axera
Axera develops high-performance AI System-on-Chips (SoCs) that utilize hybrid precision processing and pixel-level AI imaging technology to enhance edge computing applications in smart IoT, autonomous driving, and robotics. Their solutions address the need for efficient, high-quality data processing and imaging in complex environments, enabling advanced functionalities in various edge devices.
Ferritiva
Ferritiva develops a portable, point-of-care screening tool utilizing a saliva-based lateral flow immunoassay and CMOS sensor for quantitative, non-invasive detection of iron deficiency biomarkers. This system provides rapid, accurate iron status readings outside of a clinical setting, eliminating the need for invasive blood draws and laboratory processing.
Funding: $100K+
Rough estimate of the amount of funding raised
Oculi
The startup develops 3D image sensors with integrated true edge processors for machine vision applications, enabling real-time defect detection and anomaly identification. By providing data security and privacy protection on a single chip, the company offers affordable solutions for industrial and retail sectors to enhance preventative maintenance and safety measures.
Funding: $2M+
Rough estimate of the amount of funding raised
Enhance Lab
Enhance Lab develops software that utilizes deep learning for denoising, super-resolution, and high-dynamic range imaging from short sequences of raw images captured on smartphones. This technology enhances image quality, enabling users to achieve DSLR-level photographs and improved thermal imaging from standard mobile devices.
SWIR Vision Systems
SWIR Vision Systems develops high-resolution CQD® SWIR cameras that provide superior imaging capabilities across various applications, including industrial, automotive, and defense sectors. Their technology overcomes the limitations of traditional InGaAs sensors by offering scalable production and enhanced performance, enabling users to capture detailed images in challenging environments.
Quantum Solutions
Quantum Solutions develops quantum dot technology for image sensors, specifically through their Q.Fly integrated camera designed for DJI drones, which combines RGB, SWIR, and LWIR imaging capabilities. This technology enhances visual data capture in various environmental conditions, addressing the need for improved imaging performance in drone applications.
Funding: $500K+
Rough estimate of the amount of funding raised
LightCode Photonics
6
Relative Traction Score based on online presence metrics compared to companies in the same age group.
LightCode Photonics develops computational imaging systems that enhance 3D sensing and machine vision. Their technology enables more accurate depth perception and spatial understanding for applications like robotics, autonomous vehicles, and industrial automation.
MEMSDrive
MEMS Drive utilizes Micro-Electro-Mechanical Systems (MEMS) technology to enhance imaging capabilities in mobile devices, providing users with professional-grade camera experiences. This technology addresses the limitations of traditional mobile cameras by improving image stabilization and clarity, enabling high-quality photography in portable formats.
Vias Endüstriyel Çözümler Otomasyon
Vias provides automation solutions using deep learning and IoT applications for image processing. Their systems leverage image sensors to automate tasks and improve efficiency.
Fast Sense Hydrogen
Fast Sense develops semiconductor-based gas sensors that accurately detect and quantify hydrogen and methane mixtures without cross-sensitivity, utilizing nanoscale sensor structures integrated within CMOS layers. These sensors provide real-time monitoring for gas leaks and compliance with environmental regulations, ensuring safety and efficiency in industries reliant on gas mixtures.
Gigajot Technology Inc.
The startup develops a quanta image sensor that captures sharp images in extremely low light conditions by detecting single photons and scanning at ultra-high frame rates. This technology enables accurate photon counting at room temperature without the need for electron avalanche multiplication, addressing the challenge of low-light imaging in various applications.
Funding: $3M+
Rough estimate of the amount of funding raised
Transformative Optics
Transformative Optics develops ai-CMOS image sensor technology that enhances image clarity and color accuracy through multi-sensor arrays and neural-net processing. Their systems capture high-definition visual data across various lighting conditions, addressing the need for precision imaging in industries such as security, defense, and entertainment.
iCore-corp
The startup manufactures machine vision components and vision modules that enable imaging-based automatic inspection and analysis for quality control in various industries. Their products, including lenses, lighting, semiconductors, repeaters, and splitters, facilitate the automation of quality assurance processes, enhancing accuracy and efficiency in production environments.
Funding: $3M+
Rough estimate of the amount of funding raised
Corticale
Corticale develops neuroelectronic CMOS and bioelectronic devices that interface with neural tissue to monitor and stimulate brain activity. These devices provide precise, real-time data and therapeutic interventions for neurological disorders, enhancing treatment efficacy and patient outcomes.
Obsidian Sensors
Obsidian Sensors develops a glass microelectromechanical system (MEMS) for manufacturing automotive sensors, specifically thermal imaging sensors that enhance pedestrian detection in vehicles. This technology addresses the critical issue of pedestrian safety by enabling automatic emergency braking systems to function effectively, particularly in low-light conditions.
Funding: $10M+
Rough estimate of the amount of funding raised
Axbio Inc.
Axbio develops a high-throughput Bio-CMOS platform for next-generation gene sequencing and molecular diagnostics, utilizing nanopore sequencing technology for real-time, single-molecule analysis. Their solutions address the need for rapid and accurate genomic data generation, enhancing diagnostic capabilities in healthcare and research.
Polarisic
Polarisic designs and manufactures depth perception and low-light imaging chips, including single-photon avalanche diode (SPAD) sensors and direct time-of-flight (dToF) modules. These products enhance distance measurement and imaging capabilities in various applications, such as automotive, security, and smart home technologies, addressing challenges in low-light environments and improving user interaction.
Metahelios
Develops metasurface-integrated cameras that use pixelated shortwave infrared (SWIR) filter arrays to capture multispectral images, achieving a size reduction of 50 times and weight reduction of 16 times compared to traditional hyperspectral cameras. These compact, lightweight systems enable advanced imaging in defense and space applications, combining color and polarization data in a single device to enhance detection and analysis capabilities.
Funding: $100K+
Rough estimate of the amount of funding raised
Agate Sensors
Agate Sensors develops the world's smallest full-spectrum software-defined sensors that combine traditional RGB and hyperspectral imaging on a single chip. These sensors enable equipment manufacturers to detect, identify, and classify individuals, vital signs, and materials, addressing the limitations of existing imaging technologies in spectral bandwidth and resolution.
Unispectral
Unispectral develops compact camera sensors equipped with a MEMS tunable Fabry-Pérot filter, transforming standard cameras into hyperspectral imaging devices. This technology reduces the cost, size, and complexity of spectral imaging, making it accessible for applications in agriculture, food, and industrial sectors.