WebOccult WebOccult Gotilo Gotilo
The Gotilo platform
Platform overviewOne deployment, every camera on site Gate automationANPR, container OCR, damage evidence Yard and vehicle trackingLive slot, movement history, search
How it runs
Edge deploymentRuns on site, no cloud dependency IntegrationsTOS, ERP, VMS and gate systems What it changesThe numbers from live sites
WebOccult Services
Custom CV developmentModels trained on your site conditions POC to productionA measured pilot before you scale
175+

Active Deployments at ports, plants and enterprise campuses across the Globe

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Logistics and ports
Container OCRISO 6346 code reading at gate speed ANPR and gate automationPlate capture, ticketing, barrier control Yard automationSlot occupancy, planning, movement audit Reefer monitoringSet point reads and exception alerts
Quality and manufacturing
Surface defect detectionScratch, dent, weld and finish faults Print and label verificationBatch codes, artwork, placement Production line monitoringCounts, stoppages, line health Railway track monitoringFastener, ballast and clearance checks
Safety and people
PPE complianceHelmet, hi vis, shoes, goggles, gloves Hazard and zone alertsRestricted area and proximity warnings Vehicle speed monitoringIn plant speed limits, repeat offenders People counting and attendanceHeadcount, staff entry validation
2 to 4 weeks

From first camera to a working proof of concept on your own lane.

View all use cases
Logistics
Ports and terminalsGate to yard visibility CFS and ICDStuffing, destuffing, custody records Empty depotsCondition grading on arrival
Industrial
ManufacturingInline quality and line health Steel and heavy equipmentHot, dusty, high risk environments SemiconductorPrecision defect detection
Enterprise
Government and infrastructureSurveillance and compliance Banking and financeBranch security and attendance Retail and educationFootfall, safety, access
230+

Gate lanes live on Gotilo across Ports, Terminals, Plants and Yards.

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BlogField notes from live sites Case studiesBefore, after and the numbers
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  • Industrial PC partners
  • Camera & Lights Partners
  • Edge Ai Partners
  • VMS Partners
  • System Integrators
  • Global Partners
27

Global partners building and deploying Gotilo with us.

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About usSee beyond vision Our storyFrom services to a product platform
People
CareersCurrent openings Life at WebOccultHow the team works
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ContactAhmedabad, North Carolina, Tokyo, Milan SupportExisting deployments
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WebOccultGotilo

Quality Control

Achieve superior product quality with intelligent defect detection.

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Flawless quality control powered by AI

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AI computer vision detects defects in the production that human inspection might miss. Computer vision for quality control helps automate quality checks to help manufacturers get better quality output. Plus, consistency in product standards and reduction in product waste.

Our holistic view to challenges

Challenges

Human error

Human error

Manual inspections are prone to human errors. It is due to a number of reasons like fatigue.

Precision inspection

Precision inspection

AI systems scan products with high accuracy. It identifies even the smallest defects in real time. It ensures manufacturing quality assurance.

Inefficient quality checks

Inefficient quality checks

Traditional quality control processes slow down production lines and increase operational costs. This is where automated quality inspection offers a faster and more reliable alternative.

Real-time automated inspection

Real-time automated inspection

AI enables instant quality checks, without any interruptions. This ensures seamless production and supports quality control automation.

Features

Wastage due to late detection

Wastage due to late detection

Detecting defects too late in the process? This leads to material wastage and increased costs. Implementing automated defect detection helps address this problem.

Early-stage detection

Early-stage detection

Our AI system identifies flaws at the earliest stage in real time. This reduces rework and waste. This is a key part of an automated quality control inspection process.

Inconsistent product quality

Inconsistent product quality

There is variation in inspection which leads to quality deviation with different product inspectors. A smart inspection system provides consistency and reduces variation.

Standardized detection

Standardized detection

AI ensures uniform quality checks across all production batches by maintaining quality standards. It is done with the help of computer vision for quality control.

AI-powered quality control can reduce defects by up to 50%, improving product quality and customer satisfaction.

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Who benefits from Quality Control solutions?

Ensuring the products meet the set quality standards. This is an absolute must for all manufacturers. Thus, the use case is beneficial to many stakeholders.

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  • Production managers
  • Quality control teams
  • Automotive industry
  • Textile industry

How it works? 

process
Assessment & integration

Assessment & integration

We evaluate your existing camera infrastructure to integrate the solution seamlessly.

Data collection & model training

Data collection & model training

Capture high-resolution images of the product and from production lines to train the AI model.

Automated quality control integration

Automated quality control integration

We integrate AI inspections into existing manufacturing workflows. It is for continuous inspection using automated quality control integration techniques.

Reporting & optimization

Reporting & optimization

Real-time insights and detailed reports are generated for continuous improvement in quality control.

Insights on innovation

Stay updated with the trending and most impactful tech insights. Check out the expert analyses, real-world applications, and forward-thinking ideas that shape the future of AI Computer Vision and innovation.

June 26, 2026 - 4 minutes to read

Do It Safe, Then Prove It: Insurance-Grade Footage for Yard Safety Compliance

Three months after the incident, the assessor sits across from Meera, the operations manager, and slides a form over the desk. She is ready for questions about helmets, about whether the supervisor was present, about protocol. He asks none of them. He asks one thing instead: show me the footage. Meera’s yard runs safety well. […]

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Ruchir Kakkad

CEO & Co-founder

June 24, 2026 - 4 minutes to read

22 vs 30 Moves an Hour: Finding the Hidden 1% Gains in Terminal Productivity

Deepak runs operations at a mid-size terminal, and one number has bothered him for a month. Two ship-to-shore cranes, side by side. Same model, same year, same maintenance schedule. Crews rotate between them every shift. One averages 22 moves an hour. The other averages 30. He sends a maintenance team over the slow one. They […]

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Ruchir Kakkad

CEO & Co-founder

June 23, 2026 - 4 minutes to read

Empties Are Inventory, Not Furniture: Smart Empty Container Yard and CFS Management

Pravin has run the empty depot for nine years, and he will tell you he knows every box in it. Then he walks you to the far corner, points at a container furred with dust, a small spider web in the corner casting, and goes quiet. It came in months ago. Nobody remembers the booking. […]

Read More

Ruchir Kakkad

CEO & Co-founder