Frequently Asked Questions

Clobotics is a Singapore-headquartered physical AI company founded in 2016. It digitizes real-world field operations using computer vision, robotics, and artificial intelligence — primarily for wind energy asset inspection and repair, and retail CPG execution intelligence. Clobotics has launched projects across 45+ countries worldwide.

Clobotics has offices in Singapore, Shanghai, Seattle (R&D), and Denmark — but our reach goes far beyond our headquarters. We have staff and field teams distributed across the globe, ready to support local project launches wherever you operate. For enterprise clients running cross-border programs, this matters: our team members bring diverse international backgrounds and a strong track record of executing projects across multiple countries simultaneously. Whether your wind portfolio spans Europe and APAC, or your retail brand operates across dozens of markets, Clobotics can mobilize locally while coordinating globally.

Clobotics currently serves two industries: wind energy (autonomous blade inspection, internal inspection, lightning protection testing, robotic leading-edge repair, and fleet asset intelligence via the IRIS platform) and retail & CPG (shelf intelligence, execution compliance, out-of-stock detection, share of shelf, branded asset tracking, and store layout analytics via RIaaS). Our computer vision and robotics capabilities are applicable across many other field-intensive industries — if you're curious about what's possible in your sector, we're always open to exploring new applications together.

Clobotics Wind Intelligence is a full-stack blade lifecycle platform connecting IBIS autonomous drone inspection, KIWI internal blade inspection, HUMMINGBIRD lightning protection testing, SPARROW robotic leading-edge repair, and IRIS asset intelligence — giving wind operators a single end-to-end workflow from inspection evidence to completed repairs.

Clobotics runs a five-stage AI pipeline on every inspection image: blade classification, blade segmentation, then defect recognition using sliding-window parallel analysis. The blade classification model achieves 99% accuracy, segmentation 98% accuracy, and defect recall exceeds 95% overall — with major-defect recall above 98% and major-defect precision above 80%. In practice, on a 400-image turbine inspection the AI automatically clears roughly 240 images as defect-free, reducing human review time from 1.5 hours per turbine to 25 minutes.

Accuracy in defect detection is a data problem as much as a technology problem. Clobotics has conducted blade inspections across 31 countries — building one of the largest real-world blade defect datasets in the industry. Every completed inspection is archived into a data lake that feeds continuous model retraining on a PDCA loop. The result is a model that improves with every campaign, not one trained on a static dataset and left unchanged.

Most inspection vendors cover external blade surfaces only. Clobotics inspects the full blade: IBIS drones capture the exterior at sub-millimeter resolution (avg 0.66 mm/pixel, best case 0.25 mm/pixel); the KIWI robot crawls inside the blade for internal structural defect detection; and HUMMINGBIRD performs lightning protection resistance testing — all three data streams are cross-referenced on the IRIS platform to give a complete internal-external blade health picture. No other vendor offers all three in a single integrated workflow.

All Clobotics inspection systems are designed for single-person operation. IBIS (external blade inspection) and HUMMINGBIRD (lightning protection testing) each complete a full turbine in approximately 15 minutes — one operator, no crew at height. KIWI (internal blade inspection) takes 15–20 minutes per blade. SPARROW (robotic leading-edge repair) is the fastest robotic LEP solution available: from prep and setup to finished repair, a single blade offshore takes as little as 38 minutes.

SPARROW is Clobotics' fully autonomous leading edge protection (LEP) repair robot, deployed by heavy-lift drone. It requires no rope-access crew or jack-up vessel, completes a blade repair in under 1 hour onshore and 38 minutes per blade offshore, and can treat up to 6 blades per day. In 2023 SPARROW completed the world's first offshore robotic blade repair. The coating is polyurea-based with a lab-tested lifespan of 15 years.

IRIS is Clobotics' cloud-based asset intelligence platform that unifies external, internal, and LPS inspection data in one workspace. It provides defect annotation with precise location mapping, severity rating, automated reports, fleet-wide dashboards across turbines and sites, and digital blade records retained across ownership and service transfers — all with no installation required.

Clobotics RIaaS (Retail Intelligence as a Service) is an AI operating system for retail brands. It connects store image capture, computer vision recognition, and agentic execution to give CPG teams real-time intelligence across shelf availability, product condition, pricing, promotions, branded assets, and store layout — from a single platform.

Mystery shopping and traditional audits rely on humans visiting a sample of stores on a schedule — which means low coverage, high cost, and data that's already outdated by the time it's actioned. Clobotics uses computer vision to capture and analyze shelf conditions across your entire estate continuously, giving field teams and HQ real-time execution intelligence rather than a monthly snapshot.

No — Clobotics is designed to augment your existing field team, not replace it. Field reps use the mobile app to capture shelf images during their store visits. The AI instantly identifies out-of-stocks, planogram compliance issues, and share-of-shelf gaps, and routes the highest-priority tasks to the right person. Teams spend less time counting and more time fixing — with a documented record of every action taken.

Most customers see measurable improvements in execution compliance and out-of-stock rates within the first 30–60 days. A leading global beverage brand reported a 28% sales uplift and 60% reduction in execution time after deploying Clobotics across monitored outlets. Because the platform captures a baseline from day one, ROI tracking starts immediately — not at the end of a long implementation cycle.

Clobotics captures shelf availability (on-shelf and out-of-stock detection), planogram compliance, share of shelf, price tag accuracy, promotion display compliance, branded asset placement, and store layout analysis — all from standard images taken by field reps or IoT cameras installed at point of sale.