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FYLD vs Ontollo

Two AI-first tools that start from what crews capture in the field. Not like-for-like (our reading): FYLD has utility, highways and energy crews film and describe each job so its AI can flag missed hazards for managers; Ontollo connects a contractor's existing systems into one live model and adds voice and document capture to flag cost and schedule risk. Both are quote-only. Desk research from vendor pages read Oct 20, 2026; not tested, no winner.

DESK RESEARCH, NOT TESTED. Compiled from vendors' public websites (accessed Oct 20, 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 Ontollo (AI operations layer; no public prices (quote / sales)). Facts last checked Oct 20, 2026. No winner declared; not tested.

Side by side

FYLD vs Ontollo: vendor-published facts side by side
Sheet rowFYLDOntollo
CategoryAI field-work capture for utility & infrastructure crewsAI operations layer
AI role (our label)AI-firstAI-first
What it doesAI platform for high-risk infrastructure field work (utilities, energy, highways, water); not a timesheet app. 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 and FYLD's AI flags conditions the worker might have missed, with managers able to add controls remotely; it lists offline mode with original timestamps on sync, open APIs and data services for ERP/EAM/GIS, and ISO 27001 / SOC 2 Type II / GDPR (vendor statements). Customers quoted on the site include Amey, M Group Water, NCDOT and Morrisons Water Services; outcome figures (e.g. 20% fewer injuries and incidents, 90% less paper, 6x ROI) are vendor claims. The vendor announced a $41M Series B on Feb 18, 2026 (vendor press release). Re-checked Oct 19, 2026: the homepage now carries a news item on Amey deploying FYLD for highways operations, and the FAQ says FYLD analyses site activity in real time with natural-language processing and computer vision. The ISO 27001 / SOC 2 Type II / GDPR statement and the tailored subscription tiers are unchanged.AI operations layer for contractors and other physical operators that connects existing systems into one live picture, flags risk and assigns tasks. The vendor calls it a “system of action” built on a governed model of operations it calls the System of Reality, and says it is not a BI layer or another dashboard. Re-read Oct 17, 2026: the construction page names Procore, Autodesk, Microsoft Dynamics, SAP, Coupa and Oracle; describes linking each invoice to its commitment, cost code, job, crew and scheduled activity, flagging stale or unsynced records, voice and document capture on phones, and tasks with a named owner and the evidence attached; and says nothing posts without a person's confirmation, answers cite sources, customers own the model of how their work connects and no models are trained on their data (vendor statements). The homepage demo shows completion-cost forecasts by job and a daily report spoken in Spanish and filled in English on the crew's existing form, and labels its time-saved numbers as illustrative assumptions. A customer story cites $8M a year in avoidable cost found for a $1B energy infrastructure provider (vendor claim). Re-checked Oct 19, 2026: homepage and construction page unchanged in substance; the construction page adds that teams can start with one team or use case before expanding and says there is no forward-deployed-engineer lock-in (vendor statements); its claim of operational impact in under 30 days is the vendor's.
Who it's forUtility, energy, highways and water contractors and asset owners managing large field crews and subcontractors; DOT-scale field programs.Physical operators, including contractors.
Pricing (as publicly stated)Not publicly listed (FAQ: tailored subscription tiers by use case and scale; demo request). (Checked Oct 16, 2026; unchanged Oct 19, 2026, fyld.ai/pricing returned 404; re-checked Oct 20, 2026: FAQ still says tailored subscription tiers, /pricing still 404.)No public prices found (checked Oct 16, 2026): the vendor site has no pricing or plans link in its navigation or footer, and /pricing and /plans return a not-found page. The site's calls to action are "Book a demo". Confirm current pricing with the vendor. Re-checked Oct 17, 2026: still no prices; the construction page offers a tailored 30-minute demo. Re-checked Oct 19, 2026: /pricing and /plans still return a not-found page; no prices. Re-checked Oct 20, 2026: /pricing still returns a not-found page; the construction page still offers a tailored 30-minute demo.
User reviewsNo reviews yet. Read or writeNo reviews yet. Read or write
Vendor links
Sources

Facts last checked: Oct 20, 2026. Prices change; check the vendor page before relying on them.

Where the vendor descriptions differ

  • Starting point: FYLD's FAQ says crews film and describe the task, hazards and controls, and its AI flags conditions the worker might have missed; managers can add hazards or controls and intervene remotely. Ontollo says crews log progress by voice and scan documents on their phones, and that its model links each invoice to its commitment, cost code, job, crew and scheduled activity.
  • What gets flagged: FYLD says it analyses site activity in real time with natural-language processing and computer vision and gives supervisors early signals of risk or delay. Ontollo says it flags stale or out-of-date records, such as a status that has not moved since material shipped or two systems that have not synced, and spots schedule and budget risk.
  • What happens next: FYLD describes managers adding controls remotely. Ontollo says it creates a task with a named owner and the evidence attached, that its answers cite their sources, and that AI does the typing while your team makes the final call.
  • Systems: FYLD runs on Android and iOS for crews, FYLD Cloud in a browser for managers, and offers analytics tools, cloud data services and open APIs to reach ERP, EAM and GIS systems. Ontollo's construction page names Procore, Autodesk, Microsoft Dynamics, SAP, Coupa and Oracle and says it is not a BI layer or another dashboard.
  • Field conditions and data: FYLD's FAQ lists an offline mode that syncs with original timestamps and says it is ISO 27001 certified, SOC 2 Type II compliant and GDPR-compliant. Ontollo says customers own the model of how their work connects and no models are trained on their data (vendor statements).
  • Who it is aimed at: FYLD names utilities, heavy civils and energy, and its site menus address managers, fieldworkers, contractors and civil engineers. Ontollo addresses contractors and owners and suggests starting with one team or use case.
  • Pricing (checked Oct 20, 2026): neither publishes prices; /pricing returns not found on both. FYLD's FAQ says it offers tailored subscription tiers by use case and scale after a demo; Ontollo offers a tailored 30-minute demo.
  • Not used here: FYLD's injury, productivity and ROI figures and customer quotes, and Ontollo's cost-savings case study and time-to-impact claim. Neither tool has been tested by Means & Methods Lab.

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 crews kept filming or speaking their updates after the first weeks
  • How often flagged hazards or risks were real versus noise for a supervisor
  • How cleanly either tool connected to your ERP or project systems
  • What each quoted for your crew count or company size
  • 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?

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