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Contineu

AI-powered construction quality control with 360° defect detection

AI platform that uses helmet-mounted 360° cameras during site walks to automatically detect and track defects across all trades, creating visual defect mapping on floor plans with complete change history for streamlined QA/QC workflows.

$1.42M raised 🚀 Early Stage

Founded 2023 • Tier I developers building residential projects in Mumbai, Bengaluru, Kolkata, and Delhi-NCR

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Why This Tool Exists

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The Problem

Construction quality control teams manually inspect every defect by hand, log issues through screenshots and messages, and chase down documentation across trades. This manual process takes site engineers 5+ hours daily and rework costs account for 5-7% of total project value, representing up to 50% of typical project profits.

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The Solution

AI-powered platform uses helmet-mounted 360° cameras during routine site walks to automatically capture visual data, detect defects across all trades, and create structured QA/QC documentation with visual defect mapping pinned directly to floor plans and complete change history.

How You Use It

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Delivery Method

SaaS Mobile App

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Integrations

Not publicly documented

Disciplines

Architecture, Structural Engineering, Construction, MEP Engineering, Landscape Architecture, Civil Engineering

Project Phases

Construction Administration

Project Types

Commercial, Residential, Mixed-Use, Healthcare, Education, Infrastructure, Industrial, Hospitality, Institutional

Data Transparency

Exactly what this tool uses and how

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Input

What it needs

Required: 360° site photos from helmet cameras, Floor plan layouts

Optional: Project schedule, Quality checklists, Historical defect data

Formats: 360° images/video, CAD drawings, PDF plans, JPEG/PNG

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Output

What you get

Format: Quality control dashboard with issue tracking

Fields: Defect detection and classification, Visual defect mapping on floor plans, Issue status and change history, Subcontractor performance metrics, Quality reports and analytics, Risk assessment and defect patterns

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Algorithm

How it works

Model: Proprietary 3D computer vision models with construction-specific training

Accuracy: Claims to exceed state-of-the-art benchmarks on construction datasets (specific metrics not published)

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Privacy

How your data is protected

Retention: Not publicly specified

Training: Not publicly specified

Compliance: Not publicly specified

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API

Integration

Endpoint: Contact vendor for API access

Method: Not publicly documented

Use Cases

• Automated daily site quality inspections
• Defect tracking across multiple trades and locations
• Subcontractor quality performance monitoring
• Visual documentation for rework claims
• Progress tracking with quality overlay

Pricing

Free

Free trial available (less than 7 days)

Pro

Annual subscription (contact for pricing)

Enterprise

Custom pricing for enterprise deployments

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📚 Research Sources & Data Quality Last verified: 2026-02-01

Data Sources (5)

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Verified Data (8)

problem, solution, fundingTotal, yearFounded, customerBase, technology-approach, key-features, company-founders

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Not Found (7)

pricing-details, api-documentation, privacy-policy, compliance-certifications, integrations, detailed-accuracy-metrics, data-retention-policy

Our Commitment: We only include verified data from official sources. If information isn't publicly available, we mark it as "Not publicly specified" rather than guessing.