Indian vision-AI startup offering a no-code machine-vision platform for real-time quality control and visual inspection on production lines.
Frinks Digital Technologies Private Limited, operating as Frinks AI, is an Indian artificial-intelligence company that builds vision-AI solutions for manufacturing quality control and automated visual inspection. Founded in 2020 by IIT Hyderabad alumni Aditya Agrawal, Dharmgya Sharma and Subhra S. Bhattacherjee, the company is headquartered in Bengaluru.
Its core offering is a no-code machine-vision platform that lets manufacturers set up visual-inspection projects, train domain-specific vision-AI models and deploy them across multiple production lines without writing code. The platform provides real-time production visibility, defect detection and analytics, with the company reporting inspection accuracy exceeding 99.99% using domain-specific models that contextually interpret varying production scenarios. Frinks AI replaces or augments legacy rule-based machine-vision systems with deep-learning models tailored to manufacturing applications such as defect detection, dimensional measurement and surface inspection. The technology is deployed across more than 1,000 production lines in sectors including automotive, consumer goods, medical devices and construction.
In 2025 the company raised USD 5.4 million in a Pre-Series A round led by Prime Venture Partners, with participation from Chiratae Ventures, Navam Capital and Ashok Atluri, founder of Zen Technologies, bringing total funding to roughly USD 6.27 million. Frinks AI focuses on edge and on-premise deployment for low-latency inference on factory lines, positioning itself as a software and algorithm provider that enables manufacturers to adopt AI-driven inspection quickly and scale it across facilities while improving product quality and consistency.
Primary type & automation activities this supplier delivers:
No-code vision-AI platform to train and deploy quality-inspection models across production lines.
Contact Frinks Digital Technologies Private Limited (Frinks AI)
WEBSITE
https://www.frinks.ai/HEADQUARTERS
India
Company Facts
Founded
2020
Primary Role
Software/Algorithm
Company Size
-
Primary Region
Asia-Pacific
Annual Sales
-
Funding Stage
Early-Stage VC
Funding Total
-
Certifications & Memberships
From humanoid tennis to bin picking and farm robots: the 22 finalists for IROS 2026's eight category awards, and what each one means for industry.
ByKelly Stone Oct 07, 2026RobotToday analyzed all 1,933 IROS 2026 papers: acceptance fell to 36.5%, the U.S. overtook China, and VLA titles jumped from 4 to 65.
ByKelly Stone Oct 07, 2026Ten papers made the IROS 2026 Best Paper and Best Student Paper shortlist, four from South Korea. What each one does and what it means for industry.
ByKelly Stone Oct 07, 2026The 'SANDO' system enhances the safety of uncrewed aerial vehicles (UAVs) by ensuring their flight paths remain collision-free, particularly in hazardous environments like wildfires. This technology is crucial as UAVs are often deployed to gather vital information in such dangerous situations, where they face risks from sudden flare-ups and falling debris. The importance of the 'SANDO' system lies in its ability to protect UAVs from potential damage during operations in uncharted territories. By avoiding collisions with obstacles such as tree branches, the system allows for safer data collection, which is essential for rescuers responding to wildfires. This advancement could significantly improve the effectiveness of UAVs in emergency response scenarios. Looking ahead, the implementation of the 'SANDO' system could lead to broader applications of UAVs in various challenging environments. As the technology develops, stakeholders will be keen to observe its impact on UAV operational safety and efficiency in disaster response efforts. No further timeline was disclosed at the time of publication.
TechXplore:Robotics Oct 07, 2026 RoboticsMIT researchers have developed an autonomous navigation system named SANDO, designed for uncrewed aerial vehicles (UAVs) to navigate safely in unpredictable environments. This system ensures that UAVs can avoid collisions with unknown moving obstacles, which is crucial in high-risk scenarios like search and rescue missions or disaster response. The significance of SANDO lies in its ability to provide formal safety guarantees in dynamic environments, where traditional navigation systems fall short. Unlike existing planners that only work in static settings or lack formal guarantees, SANDO uses a mathematical approach to ensure collision avoidance, making it particularly valuable for applications requiring real-time adaptability. Looking ahead, the potential applications for SANDO are vast, including emergency medical supply deliveries and exploration in hazardous areas. As the technology matures, it could revolutionize how UAVs operate in complex environments, enhancing safety and efficiency. No further timeline was disclosed at the time of publication.
MITNews Oct 07, 2026 Research Computer science and technology Algorithms Drones Robotics Autonomous vehiclesTwelveLabs Inc. has unveiled its Pegasus 1.6 model, designed to enhance video understanding for physical AI applications. This model addresses the challenge of transforming complex video footage into actionable insights, enabling robotics and AI teams to train on real human experiences rather than starting from scratch. The significance of Pegasus 1.6 lies in its ability to provide temporal context, spatial reasoning, and task completion judgment, which are crucial for machines to navigate real-world environments. According to Jae Lee, co-founder and CEO of TwelveLabs, the model allows for a more precise understanding of actions and interactions captured in egocentric video, facilitating the development of smarter robotics systems. Looking ahead, TwelveLabs aims to further refine its video intelligence platform, focusing on the video understanding layer to improve training data for robotics teams. The company emphasizes that Pegasus 1.6 can utilize existing video data and analyze still images, making it a versatile tool for various applications in physical AI. No further timeline was disclosed at the time of publication.
RoboticsBusinessReview.com Oct 06, 2026 Artificial Intelligence Artificial Intelligence / Cognition Assembly Human Robot Interaction / Haptics Manufacturing Microprocessors / SoCTeledyne FLIR OEM has unveiled Prism A-ISR, a cutting-edge software module aimed at enhancing air-to-ground detection and tracking for uncrewed aircraft systems (UAS) and airborne intelligence, surveillance, and reconnaissance (ISR) platforms. Announced on October 6, this software leverages artificial intelligence to detect, classify, and track multiple ground objects in real time, utilizing data from various sensor types including midwave infrared (MWIR) and visible electro-optical (EO) sensors. The significance of Prism A-ISR lies in its ability to perform edge processing, enabling airborne systems to analyze sensor data independently of remote computing resources. This capability is crucial for applications requiring persistent surveillance and defense missions, as it enhances long-range situational awareness while minimizing false alarms. Teledyne FLIR's advanced image processing tools, including patented denoise and super-resolution technology, further improve detection capabilities in challenging conditions. Looking ahead, Teledyne FLIR's AIMMGen synthetic model-training service allows developers to quickly adapt the software for new target classes, streamlining the creation of mission models. The software is compatible with NVIDIA and Qualcomm embedded AI platforms and several Teledyne FLIR camera modules, including the NDAA-compliant Boson+ and Neutrino thermal camera families. No further timeline was disclosed at the time of publication.
Dronelife.com Oct 06, 2026 AI Applications C-UAS Defense defense Drone NewsOverview AI has launched the OV Spark and OV Spark Pro, a new line of AI inspection cameras featuring an agentic AI layer that communicates in plain English. The cameras come equipped with 10 inspection tools, including seven deep learning AI models and three ready-to-use tools for barcodes, measurements, and color matching. The introduction of the OV Spark cameras is significant as they address the challenges of consistency in inspection processes. Christine Chacko, a technical product marketing manager at Overview AI, highlighted that the cameras adapt to the shifting and rotating parts in a robot cell, ensuring accurate inspections. This innovation aims to enhance defect detection across factory lines. Looking ahead, Overview AI's mission is to ensure that every defect is caught in every factory, with the OV Spark designed to minimize setup work. The cameras are currently available for purchase directly from Overview AI and through distribution partners. No further timeline was disclosed at the time of publication.
RoboticsBusinessReview.com Oct 06, 2026 Artificial Intelligence Artificial Intelligence / Cognition Cameras / Imaging / Vision Design / Development Manufacturing NewsEpson has announced its participation in PACK EXPO International, scheduled from October 18 to 21, 2026, where it will demonstrate its ColorWorks® on-demand color label printers, collaborative robots, and vision technology. These innovations aim to enhance the efficiency of packaging and fulfillment operations. The introduction of ColorWorks printers allows manufacturers to produce high-quality, customized color labels on demand, addressing the growing need for flexibility in labeling processes. Coupled with robotic automation, these solutions are designed to streamline various tasks, including handling, inspection, and packaging, thereby improving overall productivity. As the event approaches, industry professionals should watch for how Epson's integrated solutions can transform labeling and packaging workflows. No further timeline was disclosed at the time of publication.
RoboticsTomorrow.com Oct 06, 2026OpenAI's GPT-6 Astra achieved the highest overall score in SuperCLUE's September 2026 EmbodiedCLUE-VLA evaluation, leading with a score of 85.71 in interaction and planning. This score significantly surpasses the runner-up, Gemini-3.8-Flash, which scored 64.29, highlighting Astra's notable advantage in planning capabilities. The importance of this evaluation lies in its comprehensive assessment of ten models, which includes basic perception, visual reasoning, interaction, planning, and embodied safety. SuperCLUE's report indicates that while Astra leads in overall performance, the evaluation's fixed input/output protocol may limit the generalization of results across different tasks and protocols, making it a useful but narrow comparison of each model's capabilities. Looking ahead, the next critical aspect to observe is how these models perform in real-world scenarios, particularly in executing plans and adapting to unforeseen circumstances. The results from physical trials will be essential to determine the practical applications of these models in robotics, beyond the theoretical scores presented in this benchmark.
HumanoidsDaily Oct 05, 2026 OpenAI ChinaIn 2026, over $23 billion has been invested in enhancing the integration of robotics and artificial intelligence for physical security. This investment aims to address the increasing complexity of threats against critical infrastructure, such as data centers and manufacturing plants. The adaptive capabilities of these technologies are essential for organizations to protect their assets effectively. The intersection of cybersecurity and physical protection presents new challenges, as demonstrated by the Jaguar Land Rover incident, where cyber breaches led to significant operational disruptions. Organizations must adapt to a rapidly changing security landscape, where legacy systems can exacerbate vulnerabilities. The need for proactive security measures is more pressing than ever, particularly in critical industries. At GTC Taipei 2025, companies like Foxlink showcased innovations such as the “robot dog,” designed to enhance physical security through adaptive functions and smart sensors. This technology represents a shift towards a more proactive security environment, enabling organizations to respond to complex threats effectively. No further timeline was disclosed at the time of publication.
RoboticsBusinessReview.com Oct 04, 2026 Artificial Intelligence Artificial Intelligence / Cognition Automotive Autonomous Mobile Robots (AMRs) Cameras / Imaging / Vision ManufacturingIn a recent discussion, Rick Balzano, Vice President of Go-to-Market for AI Services, Safety and Robotics at TaskUs, highlighted the critical work required to make humanoid robots reliable. He emphasized that unlike large language models, which operate on digital data, humanoid robots must navigate and interact with the physical world, necessitating extensive real-world data collection and validation. Balzano pointed out that while humanoid robots are often marketed as versatile workers, they currently remain highly specialized machines disguised in human-like forms. He noted that significant advancements have been made in areas such as locomotion and perception, but the gap between demonstration and real-world application is substantial, often involving controlled environments and remote assistance. Looking ahead, the industry must focus on bridging this gap to enhance the reliability of humanoid robots. Balzano's insights underscore the importance of safety and data integrity in developing robots that can operate effectively in diverse environments. No further timeline was disclosed at the time of publication.
InterestingEngineering.com Oct 02, 2026 AI and Robotics InnovationOuster and Seneca have partnered to integrate Ouster’s Rev8 OS1 Max digital LiDAR into Seneca’s autonomous wildfire-response drones. This collaboration aims to enhance the drones' ability to perceive and navigate challenging environments, particularly during wildfires where visibility is often compromised. The integration of LiDAR technology allows Seneca's drones to create detailed 3D representations of their surroundings, improving their operational capabilities in various missions such as cargo delivery, terrain mapping, and infrastructure inspection. The Rev8 OS1 Max sensor, known for its high resolution and range, provides critical information for obstacle detection and flight path adjustments, essential for safe autonomous operations. As the demand for autonomous aircraft in emergency response grows, the partnership underscores the importance of advanced perception systems in ensuring safety and efficiency. No further timeline was disclosed at the time of publication.
Dronedj.com Oct 02, 2026 NewsCognex buys RealSense, Qualcomm acquires PickNik, the IFR counts 5 million factory robots, AGIBOT deploys 300 robots at Chimelong, and Tekever raises $580 million.
ByRobotToday Reporter Sep 26, 2026MIR Databank puts China dexterous hand shipments above 30,000 units in 2026, yet only 3.5% of 2025 demand came from factory production. Part 1 of 3.
ByThomas Siew Sep 04, 2026Linkage, tendon, direct drive or hybrid — and why hardware is converging while the DL1–DL5 manipulation scale decides who wins. Part 2 of 3.
ByThomas Siew Sep 04, 2026This week in robotics: XPeng's Dogotix raises over $900 million at a $6.3 billion valuation, Unitree's post-IPO slump revives bubble talk, Beijing's World Humanoid Robot Games close with a shift to real-world tasks, and Teradyne sues JAKA at Europe's Unified Patent Court. August 24–28, 2026.
ByRobotToday Reporter Aug 29, 2026The third report in the WRC 2026 series. Report 1 mapped all 248 exhibitors by category and Report 2 covered the 139 that build finished robots. This one covers the 137 that build what goes inside them.
ByThomas Siew Aug 28, 2026We classified 248 WRC 2026 exhibitors with the RobotToday taxonomy. Motion & Actuation leads at 75 companies, Humanoid at 72, and compute stays thin at 12. (Modified 2026-08-27)
ByThomas Siew Aug 26, 2026Added mass, wave loading, DVL navigation: the marine GNC reference for USV, ROV and AUV service engineers. The hardest book on the RSF list, 5/5.
ByRSF Research Aug 01, 2026