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Facts: desk research, not tested · Reviews: members' opinions

ConeLabs vs GroundedAI

Two platforms that turn field images and scans into shared 3D records for engineers, built for different ground. Not like-for-like (our reading): ConeLabs, now part of Consor, builds 3D models from smartphone, camera or drone photos for AI-assisted inspection of building envelopes, bridges, roads and utilities; GroundedAI pairs an offline field-capture app (Lithos) with a shared mapping and reporting workspace (Strata) for tunnelling, mining and geotechnical teams. Vendor pages read Oct 20, 2026; desk research, 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: ConeLabs (AI 3D inspection for buildings & infrastructure; no public prices (quote / sales)) vs GroundedAI (Underground mapping & decisions (tunnelling, mining); no public prices (quote / sales)). Facts last checked Oct 20, 2026. No winner declared; not tested.

Side by side

ConeLabs vs GroundedAI: vendor-published facts side by side
Sheet rowConeLabsGroundedAI
CategoryAI 3D inspection for buildings & infrastructureUnderground mapping & decisions (tunnelling, mining)
AI role (our label)AI-firstAI-first
What it doesWeb platform that builds high-detail 3D models from smartphone, camera or drone images for AI analysis, measurements and shareable reports. After capture with off-the-shelf hardware it supports AI analysis, measurements, annotations and labelling, shareable web-link models, and report export. Industries listed: buildings (envelope defects), utilities, and transport (structural health of bridges, roads, aerial and marine infrastructure, with location and severity levels). Site banner says ConeLabs is now part of Consor. Re-checked Oct 19, 2026: unchanged; the banner still points to Consor. Re-checked Oct 20, 2026: unchanged in substance (capture with smartphone, camera or drone; cloud processing into a photorealistic 3D model; AI analysis, measurements, annotations and labelling; web-link sharing; report export; buildings, utilities and transport). The banner still says ConeLabs is now part of Consor and the footer still reads 2024.Platform for mining, tunnelling and engineering teams that links underground observations to decisions, from field capture to shared reports. Its two apps: Lithos captures 3D data, photos and notes in the field and works offline; Strata turns field data into shared views, mappable data and repeatable reports. Exports datasets to Leapfrog, Deswik and AutoCAD. The CSV describes it as a system of record for tunnelling and underground construction that captures and georeferences changing ground conditions (C$2M pre-seed). Its site (groundedai.com, read Oct 17, 2026) lists workflows for geotechnical, structural and geological mapping, tunnel RES (required excavation support) meetings, differing site documentation and damage mapping, plus software workflows for Leapfrog Works, Leapfrog Geo, Deswik, Rocscience, Itasca and CAD. Its FAQ list asks how accurate Lithos 3D scans are; we did not record an accuracy figure. Re-checked Oct 19, 2026: unchanged in substance (Lithos and Strata, workflow and software pages, exports to Leapfrog, Deswik and AutoCAD); the site now also offers a 7-screen self-check that scores capture, mapping and decision quality in under 5 minutes, and a monthly newsletter. Re-checked Oct 20, 2026: unchanged in substance (Lithos offline field capture of 3D data, photos and notes; Strata shared views, mappable data and repeatable reports; exports to Leapfrog, Deswik and AutoCAD; workflow pages by use case, software and stage; the 7-screen self-assessment). The homepage testimonial carousel attributes quotes with different job titles to the same named person and its footer carries a Company Name placeholder, so we treat those quotes and their decision-time percentages as unverified and do not use them.
Who it's forInspection engineers and technicians, and owners of building envelopes, bridges, roads and utility assets.Tunnelling contractors, mining operations and geotechnical engineering consultants.
Pricing (as publicly stated)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 include "Request a demo". Confirm current pricing with the vendor. Earlier note (Oct 15, 2026): site routes to a demo. Re-checked Oct 17, 2026: unchanged. Re-checked Oct 19, 2026: unchanged. Re-checked Oct 20, 2026: unchanged; /pricing still returns a not-found page and the call to action is still Request a demo.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. groundedai.ca now redirects to groundedai.com; its "Plan" links are workflow pages, not pricing. The site's calls to action include "Book a demo" and "Contact sales". Confirm current pricing with the vendor. Earlier note (Oct 15, 2026): site routes to a demo. Re-checked Oct 19, 2026: unchanged. Re-checked Oct 20, 2026: unchanged; groundedai.com/pricing returns a not-found page and the calls to action are still Book a Demo and Contact Sales.
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Vendor links
Sources

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

Where the vendor descriptions differ

  • Capture: ConeLabs says it is data-source agnostic: collect images with a smartphone, camera or drone, upload them, and receive a high-resolution 3D model. GroundedAI's Lithos captures 3D data, photos and notes in the field and is designed to work offline underground.
  • What happens next: ConeLabs offers measurements, annotations, labelling and AI analysis on the model, web-link sharing for remote teams and export of inspection data to a report. GroundedAI's Strata turns field data into shared views, mappable data and repeatable reports, and exports datasets to Leapfrog, Deswik and AutoCAD; its workflow pages cover structural and geotechnical mapping, required excavation support (RES) meetings and differing site conditions documentation.
  • Who it is for: ConeLabs lists buildings (envelope defects), utilities and transport (structural health of bridges, roads, aerial and marine infrastructure). GroundedAI lists underground mining, tunnelling and engineering consulting.
  • Where AI sits: ConeLabs describes AI analysis of the 3D model during inspection (tagged AI-first). GroundedAI's name and positioning are AI-led, but the pages we read describe capture, mapping, decision and reporting workflows rather than a specific AI function (tagged AI-first on its own description).
  • Pricing (checked Oct 20, 2026): neither publishes prices. ConeLabs routes to Request a demo (/pricing returns a not-found page); GroundedAI routes to Book a Demo and Contact Sales (/pricing returns a not-found page) and offers a free 7-screen workflow self-assessment.
  • Not used here: GroundedAI's homepage decision-time percentages and testimonial carousel, which attributes quotes with different job titles to the same named person beside a "Company Name" footer placeholder. 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.

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Questions to ask in your review

  • What either costs
  • How accurate each 3D reconstruction is on the same tunnel or bridge face
  • Whether ConeLabs works underground without GPS or drones
  • Whether GroundedAI's exports carry the georeferencing a Leapfrog model needs
  • 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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