Filio

Product Introduction

1. Definition: Filio is an AI-powered construction photo documentation platform (technical category: SaaS for visual asset management). It captures, organizes, and analyzes jobsite media—photos, videos, 360° panoramas, LiDAR scans, and measured visuals—overlaid on plans or maps.
2. Core Value Proposition: Filio exists to transform chaotic jobsite visual data into searchable, report-ready evidence. It eliminates manual documentation bottlenecks by automatically embedding critical metadata (GPS, timestamp, bearing, elevation, weather) and applying AI-generated captions, labels, and tags for instant retrieval and compliance-ready reporting.

Main Features

1. Automated Metadata & AI Tagging:
   How it works: Filio’s mobile app uses device sensors (GPS, accelerometer, gyroscope) and weather APIs to record location, direction, elevation, and environmental conditions at capture. Computer Vision (CV) AI analyzes media content to auto-generate descriptive captions (e.g., "concrete pour at column B2") and contextual tags (e.g., "safety violation," "rebar installation").
   Technologies: Sensor fusion, OpenWeatherMap API, NLP, CV models (likely CNN-based).

2. GIS-Integrated Visual Documentation:
   How it works: Users capture media directly overlaid on imported project plans, blueprints, or GIS maps within the app. Photos/videos are precisely georeferenced. The web console displays assets on an interactive map timeline, enabling spatial filtering (e.g., "show all photos within Lot 7 from last week").
   Technologies: ESRI or Mapbox integration, GeoJSON handling, coordinate transformation.

3. Object Measurement & 360° Integration:
   How it works: Using device LiDAR/ToF sensors or photogrammetry, Filio enables in-app measurement of objects within photos (e.g., crack width, pipe diameter) without manual scaling. Supports Ricoh Theta 360° cameras, stitching panoramas into the project timeline for immersive site context.
   Technologies: ARKit/ARCore for depth sensing, photogrammetry algorithms, 360° image stitching APIs.

4. Dynamic Reporting Engine:
   How it works: Users define custom report templates (PDF/Word) with drag-and-drop fields (AI tags, custom fields, timestamps). Reports auto-populate with filtered media and metadata. Permissions control stakeholder access for real-time collaboration or audit trails.
   Technologies: Headless Chrome for PDF rendering, DOCX templating engines, RBAC (Role-Based Access Control).

Problems Solved

1. Pain Point: Disorganized, untraceable jobsite photos leading to lost evidence, disputes, and compliance risks. Filio solves this with immutable geotagging, timestamps, and AI indexing.
2. Target Audience: Construction Project Managers, Forensic Engineers, Insurance Adjusters, Environmental Inspectors, Roofing Contractors, Public Works Engineers.
3. Use Cases:
   • Dispute Resolution: Providing timestamped, geolocated photo evidence against false claims (e.g., Ram Pro Construction case study).
   • Progress Tracking: Automated daily logs with AI-filtered photos showing specific work stages (e.g., "formwork installed").
   • Regulatory Compliance: Generating inspection reports with embedded location/weather data for agencies (EPA, OSHA).
   • Damage Assessment: Post-disaster documentation with measured visuals for insurance claims.

Unique Advantages

1. Differentiation: Unlike generic cloud storage (Dropbox) or basic photo apps, Filio offers construction-specific AI metadata, GIS integration, and dynamic reporting. Competitors (e.g., OpenSpace, StructionSite) focus on 360° walkthroughs; Filio prioritizes granular, searchable evidence from diverse media types.
2. Key Innovation: Contextual AI tagging trained on construction imagery (e.g., recognizing rebar, concrete defects) combined with sensor-fused metadata automation. This creates a searchable "evidence database" rather than a simple photo gallery.

Frequently Asked Questions (FAQ)

1. Does Filio integrate with existing construction software?
   Filio syncs media to Google Drive, Dropbox, or OneDrive for interoperability. Direct integrations with Procore, Autodesk BIM 360, or Aconex require API customization (consult Filio support).

2. How accurate is Filio's AI-generated photo tagging?
   Filio's CV models are trained on construction-specific datasets, achieving high accuracy for common objects (materials, equipment). Accuracy improves with user feedback and project-specific custom tag training.

3. Can Filio work offline on remote jobsites?
   Yes, the Filio Data Collector mobile app captures media and metadata offline. Assets auto-upload to the cloud when connectivity resumes, preserving all contextual data.

4. What industries beyond construction use Filio?
   Filio serves engineering firms, environmental services, forensic investigation, insurance adjusters, roofing contractors, and property management for any field requiring auditable visual documentation.

5. Is there a free trial for Filio's construction management platform?
   Filio offers a free trial with full access to mobile capture, AI tagging, and basic reporting. Enterprise features (custom integrations, advanced RBAC) require subscription plans.