Landing AI

Landing AI

US AI software company founded by Andrew Ng offering LandingLens, a low-code computer vision platform for industrial visual inspection and defect detection.

Visit Website

Company Overview

Landing AI, founded in 2017 and headquartered in Palo Alto, California, was established by Andrew Ng — co-founder of Google Brain and former Chief Scientist at Baidu. The company's flagship product, LandingLens, is a cloud-based, low-code computer vision platform enabling manufacturers to build and deploy AI-powered visual inspection models without deep machine learning expertise. LandingLens supports defect detection, object recognition, and quality control across automotive, electronics, semiconductors, pharmaceuticals, and life sciences industries.

Notable customers include Foxconn, Stanley Black & Decker, and Denso. In November 2021, Landing AI raised a $57 million Series A round led by McRock Capital. The company also develops Agentic Document Extraction (ADE), an API-first platform for converting unstructured documents into structured intelligence, and Visual AI APIs for custom model deployment.

Capabilities & Activities

Primary type & automation activities this supplier delivers:

Applications & Industries

Product Categories

Products & Solutions

LandingLens

Low-code computer vision platform for industrial visual inspection and AI-powered defect detection.

Partnership & Notable clients

Associating Events

Contact Landing AI

WEBSITE

https://landing.ai

EMAIL

[email protected]

PHONE

+16507795660

HEADQUARTERS

440 N Wolfe Rd
Sunnyvale , California  94085

United States

Company Facts

Founded

2017

Primary Role

Software/Algorithm

Company Size

-

Primary Region

North America

Annual Sales

-

Funding Stage

-

Funding Total

-

Listed in RobotToday Supplier Discovery. Verified Profile

Related Coverage

Monumental's CEO Discusses Robotics Potential in Construction Industry

Monumental's CEO Discusses Robotics Potential in Construction Industry

In a recent episode of Lexicon, Salar al Khafaji, founder and CEO of Monumental, highlighted the overlooked potential of robotics in the construction industry. He emphasized the challenges of deploying autonomous robots on unpredictable building sites and the need for specialized machines to address rising construction costs and housing shortages. Al Khafaji pointed out that construction has not received the technological attention it deserves, despite its significant economic and social impact. He believes that the industry is vast and underappreciated by tech founders, which is why he pivoted from data visualization to focus on tangible impacts in construction. Monumental has developed autonomous robots capable of transporting materials and constructing brick walls on commercial sites. However, al Khafaji noted that real-world deployment presents unique challenges, such as varying environmental conditions that affect sensors and computer vision systems. No further timeline was disclosed at the time of publication.

AI and Robotics Innovation
Dyson Introduces Nurovi Robot Cleaners and First Oral-Care Device with AI Vision

Dyson Introduces Nurovi Robot Cleaners and First Oral-Care Device with AI Vision

Dyson has unveiled a new family of robot cleaners named Nurovi and its first oral-care device, CameraJet, at the Dyson Unveiled event in Berlin. This marks a significant shift towards appliances that utilize artificial intelligence, vision systems, and sensor-based automation to interpret and respond to their environments. The introduction of the Nurovi robot cleaners, which includes three models with advanced cleaning mechanisms, highlights Dyson's commitment to moving beyond traditional mechanical performance. The r2 Nurovi Wash+Dry features a triangular rotating mop and real-time dust particle measurement, while the r3 Nurovi Spot+Scrub UV employs AI for stain detection and enhanced suction capabilities. Looking ahead, Dyson aims to integrate AI and machine learning across its product lines, including oral care and home appliances. No further timeline was disclosed at the time of publication.

All News
Lyte Secures $165 Million in Series C Funding to Enhance Robot Sensing Capabilities

Lyte Secures $165 Million in Series C Funding to Enhance Robot Sensing Capabilities

Lyte AI Inc. has successfully raised $165 million in Series C funding, achieving a post-money valuation of $1.6 billion. Founded in 2021, the Sunnyvale-based company specializes in designing processors, multimodal sensors, and software that enable robots to accurately perceive their surroundings. This funding will accelerate the deployment of LyteVision, their perception platform, into various robotics applications. The significance of this funding round lies in Lyte's innovative approach to solving the sensing challenges faced by robots. According to co-founder and CEO Alexander Shpunt, the company focuses on creating a comprehensive perception foundation, from custom silicon to spatial data generation. With this investment, Lyte aims to expand its reach across industries such as inspection, logistics, and manufacturing, where accurate sensing is crucial for operational safety and efficiency. Looking ahead, Lyte plans to significantly grow its workforce, hiring across multiple domains including silicon, software, and operations. The company has already raised a total of $272 million since its inception and is poised to become a key player in the robotics sector, as indicated by the strong demand for its technology from early customers. No further timeline was disclosed at the time of publication.

Artificial Intelligence Artificial Intelligence / Cognition Design / Development Financial Investments News
World Labs Launches Atlas World Model for 3D Environment Simulation

World Labs Launches Atlas World Model for 3D Environment Simulation

World Labs has unveiled Atlas, a new world model aimed at generating, reconstructing, and simulating 3D environments. This model supports Real-to-Sim workflows, allowing robots to navigate and manipulate spaces reconstructed from images or videos. Atlas can create RGB and depth data that robots would encounter, enhancing their operational capabilities. The introduction of Atlas is significant as it enables developers to recreate interactions with various objects and simulate different training scenarios. By using a limited number of real-world recordings, Atlas can generate complex environments, which is crucial for advancing robotic applications. This multimodal model combines text, images, video, and 3D information, providing a comprehensive tool for robotics and beyond. Looking ahead, Atlas is entering early access with select partners and will also enhance future versions of World Labs' Marble world-generation product. The capabilities of Atlas in producing explicit 3D outputs and supporting diverse applications will be key areas to monitor as the technology evolves.

AI AI Use Cases Robotics Atlas real-to-sim World Labs
Leading Research Institutions Unite to Advance Soft Robotics and Physical AI

Leading Research Institutions Unite to Advance Soft Robotics and Physical AI

In recent years, advancements in large models have enhanced machines' language, visual, and reasoning capabilities. Concurrently, robotics is transitioning from traditional rigid systems to more flexible, perceptive forms. A significant intersection is emerging between Physical AI and Soft Robotics, prompting a shift in focus towards integrating materials, structures, mechanics, and perception systems into robotic intelligence. In 2026, the prestigious journal ACS Nano will publish a collaborative article by 37 scientists from 28 global research institutions, including Nanyang Technological University, Hebrew University of Jerusalem, MIT, ETH Zurich, Tsinghua University, Cornell University, and Northwestern University. The article, titled "Emerging Frontiers and Technological Challenges in Soft Robotics," will explore the paradigm shift in soft robotics and outline key scientific questions and technological challenges for the future. This article not only serves as a roadmap for soft robotics technology but also points towards a broader future of Embodied Physical Intelligence, where the body itself becomes part of the intelligence. The research framework connects fundamental scientific questions with cutting-edge studies in soft robotics, focusing on issues related to intelligence, perception, functionality, and adaptability, which are crucial for overcoming key technical challenges in deployment and integration.

Soft Robotics Physical AI Adaptive Systems Machine Learning Biomimicry
Ouster Expands into Drone Mapping and Autonomous Vehicles with Physical AI Technology

Ouster Expands into Drone Mapping and Autonomous Vehicles with Physical AI Technology

Ouster is advancing its technology that enables machines to perceive and navigate their environments, contributing to the growth of physical AI. The company is entering the drone mapping sector through a collaboration with GeoCue, while John Deere is integrating Ouster sensors into its GUSS autonomous vehicles. This expansion is significant as it highlights the increasing demand for physical AI solutions across various industries. Ouster's CEO, Angus Pacala, emphasized the company's commitment to exploring new markets and addressing the evolving needs for advanced sensing technologies in automation. Looking ahead, industry stakeholders should monitor Ouster's developments in drone mapping and its partnership with John Deere. No further timeline was disclosed at the time of publication.

Lyte Secures $165 Million Series C Funding Led by Maverick Silicon for Robot Perception

Lyte Secures $165 Million Series C Funding Led by Maverick Silicon for Robot Perception

Lyte has announced a successful $165 million Series C funding round, led by Maverick Silicon. This financing values the company at $1.6 billion post-money and marks a significant step as Lyte prepares for production deployments. The funding is crucial for Lyte, a company specializing in physical AI perception, as it aims to enhance robots' understanding of their environments. With this investment, Lyte is positioned to advance its technology and expand its market presence, which is vital in the rapidly evolving robotics sector. Looking ahead, Andrew Homan from Maverick Silicon will join Lyte's board, indicating a strategic partnership that could influence future developments. No further timeline was disclosed at the time of publication.

Addressing the Critical Gap in Robot Safety Assurance Amidst AI Manipulation Risks

Addressing the Critical Gap in Robot Safety Assurance Amidst AI Manipulation Risks

Recent advancements in robotics highlight a significant gap in safety assurance, particularly concerning the integrity of data that guides robotic decisions. Traditional safety assessments may not adequately address the risks posed by adversarial manipulations of sensory inputs, which can redirect robot behavior without any apparent system failure. Research has shown that even subtle alterations in what a robot perceives can lead to significant deviations in its actions, raising concerns about the reliability of current safety protocols. The implications of these findings are profound, as they challenge the conventional understanding of robot safety. For instance, studies have demonstrated that backdoor attacks can manipulate a robot's actions based on hidden triggers, such as specific visual patterns or ordinary objects. This vulnerability underscores the necessity for enhanced validation processes that account for adversarial conditions, ensuring that robots remain within their operational and safety boundaries even when faced with manipulated inputs. Looking ahead, the development of simulation tools like NVIDIA Isaac Sim™ combined with VicOne Radeis offers a promising avenue for testing the effects of manipulated inputs prior to deployment. However, as highlighted by the recent UniPwn exploit affecting major robotic systems, even well-trained models can be compromised if the underlying system is vulnerable. No further timeline was disclosed at the time of publication.

Sponsored Content VicOne
TU Delft Develops Drone Using Touch Sensors for Perching on Branches

TU Delft Develops Drone Using Touch Sensors for Perching on Branches

Researchers at TU Delft have created an innovative drone that utilizes tactile sensors to perch on branches, moving beyond traditional camera reliance. This technology allows the drone to detect and adjust its position as it approaches a branch, enabling it to grip securely and conserve battery power by shutting down its motors once perched. The significance of this development lies in its potential to enhance drone operations in complex environments like forests, where conventional vision-based systems often struggle. By employing touch sensing, the drone can locate and grip branches effectively, which could lead to longer operational periods in cluttered settings. Looking ahead, the drone's control architecture, which includes a series of dynamic states for flight and perching, will be crucial for its adaptability. No further timeline was disclosed at the time of publication.

AI and Robotics
Archer and AEG Collaborate on Downtown Los Angeles Vertiport at L.A. LIVE

Archer and AEG Collaborate on Downtown Los Angeles Vertiport at L.A. LIVE

Archer Aviation and AEG have announced a partnership to develop a vertiport at L.A. LIVE in downtown Los Angeles. This project aims to establish the first vertiport in the area, enhancing Archer's regional air taxi network. The site will serve as a central hub for Archer's air taxi services, utilizing the Midnight electric vertical takeoff and landing aircraft. This initiative is significant as it represents a forward-thinking collaboration that integrates infrastructure and technology, aimed at improving the fan experience during major sports and entertainment events. The vertiport will facilitate quicker travel, potentially reducing ground trips of over an hour to just 10 to 20 minutes, which is crucial for the upcoming 2028 Olympic and Paralympic Games. Looking ahead, Archer and AEG are currently reviewing operational strategies and guest experiences for the vertiport. The project is also aligned with the ACES consortium's efforts to standardize electric aviation charging infrastructure, further supporting the development of all-electric flight in Southern California. No further timeline was disclosed at the time of publication.

Air Taxi Drone News Drone News Feeds Drones in the News eVTOL News
Automate 2026 | Amprius SiCore SA88 Competes for Innovation Award in Robotics Battery Category

Automate 2026 | Amprius SiCore SA88 Competes for Innovation Award in Robotics Battery Category

At Automate 2026 in Chicago, Amprius Technologies exhibited its SiCore SA88 silicon-anode pouch cell — 358 Wh/kg, 750 Wh/L — as a finalist in the Components, Hardware & Enabling Technologies category. Analysis of implications for AMR, UAV, and aerial mobility platforms.

FUTURE WARFARE | Air - Collaborative Combat Aircraft, Drone Motherships & the Autonomy Race Above the Battlefield

FUTURE WARFARE | Air - Collaborative Combat Aircraft, Drone Motherships & the Autonomy Race Above the Battlefield

Anduril’s YFQ-44A Fury flew its first semi-autonomous mission on 31 October 2025 — 556 days from contract to flight. By February 2026 it was carrying live missiles and swapping autonomy software mid-flight. China’s Jiutian drone mothership flew on 11 December 2025, capable of releasing over 100 loitering munitions from its internal bay at 15,000 metres. And the U.S. Air Force is standing up its second experimental one-way attack drone unit for mid-2026. This article maps the most consequential aerial autonomous systems competition in history: the CCA programme that will determine U.S. air dominance in the 2030s, the Valkyrie’s surprising rebirth, the A-GRA open-architecture breakthrough, and the Chinese drone mothership that has no Western equivalent.

FUTURE WARFARE | Land - Unmanned Ground Vehicles — From Logistics Mules to Front-Line Robots

FUTURE WARFARE | Land - Unmanned Ground Vehicles — From Logistics Mules to Front-Line Robots

Ukraine fielded 15,000 unmanned ground vehicles in 2025 — surpassing its own procurement targets by over 100 percent. A single UGV held a front-line position for 45 days. Up to 90 percent of supplies to Pokrovsk now move by robot, not truck. The U.S. Army cancelled its $3 million Robotic Combat Vehicle and is starting over. China is deploying $3,000 robot dogs in PLA urban-warfare exercises. This article maps the emerging UGV battlefield — from Ukraine’s garage-built logistics fleet to the Pentagon’s stalled combat-vehicle ambitions, and from Ghost Robotics’ Vision 60 to the quadruped proliferation problem no treaty has yet addressed.

China vs. The World: A Space Robotics Competitive Analysis

China vs. The World: A Space Robotics Competitive Analysis

A domain-by-domain competitive benchmark of China versus the international space robotics field — covering on-orbit servicing, lunar ISRU, space station

FUTURE WARFARE | The Autonomy Spectrum

FUTURE WARFARE | The Autonomy Spectrum

How modern weapons shattered the concept of human control — from kill-switch confirmation to AI systems that select targets independently.

China's 15th Five-Year Plan and the Space Robotics Imperative

China's 15th Five-Year Plan and the Space Robotics Imperative

China's 15th Five-Year Plan names aerospace a strategic pillar industry alongside semiconductors and sets hard mission schedules — Chang'e-7, Chang'e-8, crewed lunar landing — that make space robotics one of the most consequential engineering battlegrounds of the late 2020s.

Space Robot- Lunar Rovers: Building Infrastructure on the Moon

Space Robot- Lunar Rovers: Building Infrastructure on the Moon

Lunar rovers face -180°C nights and glass-sharp dust while building moon infrastructure. Inside the engineering challenges, commercial strategies, and international competition shaping planetary robotics.

Security Robotics After SPAC: Capital Reality and Supply-Chain Risk in the AlphaVest Merger

Security Robotics After SPAC: Capital Reality and Supply-Chain Risk in the AlphaVest Merger

Security robotics after SPAC: analyzing AlphaVest–Origin merger risks across capital structure, supply-chain dependence, margins, and commercialization reality.

UK CAA Publishes Framework for evtol Operations by 2028

UK CAA Publishes Framework for evtol Operations by 2028

The UK Civil Aviation Authority has published its electric vertical take-off and landing Delivery Model, establishing a regulatory framework that will enable commercial electric aircraft operations in UK airspace by 2028.

Sunny t2000 china s first 2 ton turboprop cargo uav signals a new era for heavy unmanned logistics

Sunny t2000 china s first 2 ton turboprop cargo uav signals a new era for heavy unmanned logistics

The SUNNY-T2000 signals a shift in heavy cargo UAVs, showing how two-ton unmanned aircraft are reshaping regional and industrial air logistics.