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FYLD vs sizeless

Two phone-video tools for utility and infrastructure crews that capture different things. Not like-for-like (our reading): FYLD turns crew video, voice and photos into risk assessments and live job visibility for managers; sizeless turns a smartphone video of an open trench into a 3D record, as-built drawings and billing quantities. Both are quote only. Desk research from vendor sites read Nov 4, 2026; no winner.

DESK RESEARCH FROM VENDOR SITES. Compiled from vendors' public websites (accessed Nov 4, 2026). Vendor claims are not verified by Means & Methods Lab. No scores or rankings.

In short: FYLD (AI field-work capture for utility & infrastructure crews; no public prices (quote / sales)) vs sizeless (Smartphone-video 3D as-builts and quantities for open trenches; no public prices (quote / sales)). Facts last checked Nov 4, 2026. No winner declared; desk research from vendor sites.

Side by side

FYLD vs sizeless: vendor-published facts side by side
Sheet rowFYLDsizeless
CategoryAI field-work capture for utility & infrastructure crewsSmartphone-video 3D as-builts and quantities for open trenches
AI role (our label)AI-firstAI-first
What it doesAI platform for high-risk infrastructure field work (utilities, heavy civils, energy, highways, water); not a timesheet app. The homepage leads with a frontline intelligence message. The product page says the FYLD app converts crew video, photo, audio and text into video work or risk assessments, records progress through the day, flags issues to managers and hands over incomplete jobs, while FYLD Cloud (described as AI-powered) alerts managers only to events that need action and supports setting job-duration targets, comparing team performance and scheduling. The FAQ says crews film and describe the task, hazards and controls, FYLD analyses site activity in real time with natural-language processing and computer vision and flags conditions the worker might have missed, and managers can add controls remotely; it lists offline mode with original timestamps on sync, Android, iOS and browser access, open APIs and data services for ERP/EAM/GIS, English and Spanish, and ISO 27001 / SOC 2 Type II / GDPR (vendor statements). Outcome and ROI figures, customer quotes and funding news are vendor material and are not used.Turns a smartphone video of an open trench into a 3D record and as-built documents, so crews can backfill right away without a separate surveyor visit. The site says the crew or site manager films the trench in under ten minutes with its SiteScan app (App Store), sizeless processes the video automatically, and the data is ready within about 72 hours (vendor statement). Deliverables listed: a 3D model of the trench (point cloud and mesh as LAS, PLY or GLB), pipe isometrics (DWG, DXF, PDF), a longitudinal profile (DWG, PDF), a site plan and GIS layer (SHP, DWG), a bill of quantities (XLSX, PDF, GAEB) and a labeled record (JSON, IFC); Interlis is listed as coming. For contractors it pitches billing-ready quantities (excavation volume, laying lengths, isometrics; described as VOB-compliant documentation); for utilities, GIS-ready network data and independent data to check contractor invoices against. The technology section names its own SLAM (from a decade of ETH Zurich research), a semantic layer that recognizes pipe type, brand, material and connections, and conversational AI that captures the crew's spoken notes in the scan. The site footer says it is a Swiss company, GDPR compliant, with data stored in the EU and ISO 27001 certification in progress (vendor statements). Accuracy and deviation figures are vendor claims and are not used. Y Combinator batch: Summer 2023 (YC company profile).
Who it's forUtility, energy, highways and water contractors and asset owners managing large field crews and subcontractors; DOT-scale field programs.Contractors and crews that open trenches for district heating, water, power, gas and fiber, and the utilities and network operators that need the as-built and GIS records.
Pricing (as publicly stated)Not publicly listed. The FAQ says subscription tiers are tailored by use case and scale; fyld.ai/pricing returns 404 and the call to action is a demo request. Confirm pricing with the vendor.No public prices: sizeless.co/en/pricing returns a not-found page and the site's call to action is Request a demo. Confirm with sizeless.
User reviewsNo reviews yet. Read or writeNo reviews yet. Read or write
Vendor links
Sources

Facts last checked: Nov 4, 2026. Prices change; check the vendor page before relying on them.

Where the vendor descriptions differ

  • What the video is for: FYLD's FAQ says crews film and describe the task, hazards and controls, and its AI turns the recording into a structured video risk assessment for manager sign-off, flagging conditions the worker might have missed. sizeless says the crew or site manager films the open trench in under ten minutes so the pipes, depths and house entries are recorded before backfill (vendor statements).
  • What comes out: FYLD produces risk assessments, progress records, issue flags and job handovers, with FYLD Cloud alerting managers to events that need action and supporting job-duration targets, team comparisons and scheduling. sizeless lists a 3D model of the trench (point cloud and mesh as LAS, PLY or GLB), pipe isometrics (DWG, DXF, PDF), a longitudinal profile, a site plan and GIS layer (SHP, DWG), a bill of quantities (XLSX, PDF, GAEB) and a labeled record (JSON, IFC), with data ready in about 72 hours.
  • AI: FYLD says it analyses recordings and site conditions in real time with natural-language processing and computer vision. sizeless names its own SLAM, a semantic layer that recognizes pipe type, brand, material and connections, and conversational AI that captures the crew's spoken notes in the scan. Both are tagged AI-first.
  • Devices and connections: FYLD runs on Android and iOS for crews, with FYLD Cloud in a browser for managers, offline mode with original timestamps on sync, and open APIs and data services for ERP, EAM and GIS. sizeless capture uses its SiteScan app from the App Store, and outputs go to CAD, GIS and accounting as files.
  • Who it is for: FYLD names utilities and energy providers, heavy civils, highways and transport, and construction organisations with field teams. sizeless names contractors and utilities whose crews open trenches for district heating, water, power, gas and fiber.
  • Security (vendor statements): FYLD's FAQ says it is ISO 27001 certified, SOC 2 Type II compliant and GDPR compliant. sizeless's site footer says it is GDPR compliant, stores data in the EU and has ISO 27001 certification in progress.
  • Pricing (read Nov 4, 2026): neither publishes prices. FYLD's FAQ says subscription tiers are tailored to use case and scale, with a demo request; sizeless has no pricing page and routes to Request a demo. See each tool page for detail.
  • Not used here: FYLD's injury, paper-reduction and other outcome figures, and sizeless accuracy and deviation figures and customer names (vendor material). Facts for both tools come from vendor websites (desk research).

Paraphrased from the sources listed above. Vendor claims are reported as claims.

What users say

The facts above come from vendor websites. Whether either tool is any good for your work is something only people who use them can say. These are member reviews, all ratings shown, never edited or removed for being negative.

Used either of these? Share your take

Good or bad, an honest review from an estimator, PM or super helps the next team more than another vendor demo. You post under a handle; your email is never shown.

Questions to ask in your review

  • Whether one trench visit could produce both a FYLD risk assessment and a sizeless as-built without filming twice
  • Whether sizeless serves crews outside its current markets
  • What each costs for your crew count or number of trenches
  • What did you use it for, on what kind of work and project size?
  • How long did setup and training take, and who on your team did it?
  • What does it cost you in practice, compared with what the sales call said?

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