ProofLog VS Filio

ProofLog's answer

ProofLog is designed for people who want a simpler alternative to large cloud-based field management platforms. It focuses on the essentials: capture jobsite photos, keep records organized, document progress, and export professional reports. It is local-first, works without mandatory AI processing, and does not require an ongoing subscription.

Filio's answer:

Choose Filio if you need proof, speed, and consistency, not just a photo gallery. Filio replaces camera roll chaos with a job site photo tracking tool and cloud based photo management for contractors, so jobsite documentation stays organized, searchable, and report-ready.

Why teams pick Filio:

• Capture on plan sheets or maps so every photo is tied to the jobsite context
• Preserve defensible metadata (GPS/time/bearing/weather and more as available) for audits, inspections, claims, and disputes
• AI-powered photo tagging for job sites with AI captions and labels to find evidence fast across large libraries
• Standardize documentation with tags, custom fields, and custom AI guidance so terminology stays consistent
• Generate repeatable PDF and Word reports from templates in minutes (no manual copy/paste)

If your documentation needs to hold up for progress tracking, QA/QC, inspections, closeouts, insurance evidence packages, or post-disaster documentation, Filio is built for that level of rigor.

ProofLog's answer

ProofLog is built for contractors, inspectors, maintenance and repair professionals, field service workers, and small construction teams who need a straightforward way to document work with photos and deliver professional records or PDF reports.

Filio's answer:

Filio is built for construction, contractors, and engineering teams that document field conditions and need defensible, report-ready evidence. It is used by field and office teams who capture progress photos, inspections, QA/QC documentation, closeouts, and evidence packages.

Primary audiences

• General contractors and construction managers
• Specialty contractors and field crews
• Civil, structural, and geotechnical engineering firms
• Inspection and QA/QC teams
• Environmental and geospatial field teams
• Roofing and insurance documentation teams
• Post-disaster documentation and recovery teams

ProofLog's answer

ProofLog started from a simple problem: field work often leaves important photos scattered in the camera roll, while creating a clear report later takes unnecessary time. The product was built to make that workflow simpler — capture the work when it happens, keep the original record organized, and turn it into something professional that can be shared or archived.

Filio's answer:

Filio’s story did not start with a business plan. It started with a research breakthrough at the Georgia Institute of Technology (Georgia Tech) and a field reality we kept seeing across the built environment.

As PhD researchers in Computer Science, Civil Engineering, and Geotechnical Engineering, we (Max Roozbahani, David Frost, and Fikret Atalay) were trained to look for precision and proof. Yet whenever we stepped out of the lab and onto a job site, we saw a massive disconnect. Highly skilled engineers, inspectors, and contractors were forced to document critical work with tools that were fundamentally broken.

We watched professionals capture the reality of projects with nothing more than a standard phone camera. The moment those photos left the site, they lost their value. A photo of a structural issue or a completed milestone is not enough if you cannot prove where it was taken, when it was taken, and what it relates to on the plan sheets.

We realized the industry did not just have a photo organization problem. It had a data integrity problem.

The problem we were trying to solve

• Evidence trapped in texts, personal devices, and folders without context
• “Camera Roll Chaos” that made retrieval slow and inconsistent
• High-stakes documentation where a photo is not just a memory, it is proof

How our approach evolved

• The hypothesis: if we automate context (GPS, bearing, time, weather as available), a photo becomes a defensible data asset
• The research: field teams need documentation on maps and blueprints, not just in albums
• The solution: Filio evolved into an AI-powered construction photo documentation and reporting platform that captures on plan sheets or maps, preserves defensible metadata, makes everything searchable with AI, and generates consistent PDF/Word reports

Founded by Georgia Tech PhD engineers, Filio exists to help teams capture once, retrieve instantly, and report consistently with less manual work.

ProofLog's answer

Swift, SwiftUI, SwiftData, Apple native frameworks, local on-device storage and PDF generation.

Filio's answer:

Filio combines two main components: a mobile Field Data Collector app and a Web Console for organizing, searching, and reporting.

Core technologies and capabilities

• Mobile capture for photos, videos, 360 media, scans, annotations, and measured visuals
• Plan sheet and map-based capture using GIS workflows to preserve drawing and location context
• Geo tagging and metadata capture such as GPS coordinates, date/time, bearing, elevation, weather, and captured-by details (as available)
• AI for construction photo management, including AI-powered photo tagging for job sites, AI captions, and AI labels
• Multilingual voice notes with English translation to reduce typing and standardize notes
• Offline-friendly workflows with reliable cloud sync for low-connectivity job sites
• Secure collaboration with fine-grained permissions for internal teams and external stakeholders
• Template-driven reporting to export consistent PDF and Word photo reports

Filio's answer:

• HNTB
• Geosyntec
• Hadco Construction
• WSP
• ANS
• MRCE
• Multiple other worldwide international companies
• General contractors and construction managers
• Specialty contractors and field crews
• Civil, structural, and geotechnical engineering firms
• Inspection and QA/QC teams
• Environmental and geospatial field teams
• Roofing and insurance documentation teams
• Post-disaster documentation and recovery teams

ProofLog's answer

ProofLog is a local-first field documentation app focused on simple capture and professional reporting. It helps users document work with photos, notes, time and location metadata, then turn those records into clean PDF reports. Core workflows do not require AI or cloud processing, and Pro is available as a one-time purchase rather than a subscription.

Filio's answer:

Filio is an AI-powered construction photo documentation and reporting platform that turns jobsite media into searchable, defensible records. It works as a construction photo app and construction site photo documentation software by capturing evidence directly on plan sheets/blueprints or on maps, so every record keeps the context that matters.

What makes Filio different:

• Plan sheet + map-based capture so photos are tied to drawings and location, not just folders
• Defensible metadata for proof: GPS latitude/longitude, date/time, bearing, elevation, weather, and captured-by (as available)
• Construction photo management with AI: AI-powered photo tagging for job sites, AI captions, and AI labels for fast search
• Template-driven reporting: generate consistent PDF and Word photo reports for progress tracking, inspections, QA/QC, closeouts, and evidence packages
• Offline-friendly workflows with reliable background sync for low-connectivity sites
• Fine-grained permissions for internal teams and external stakeholders
• GIS support including KML/KMZ layer imports for geospatial context

Founded by Georgia Tech PhD engineers, Filio helps teams capture once, retrieve instantly, and deliver professional documentation with less manual work.