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Blyncsy vs Carbon Crusher

Two road-condition tools for road owners that come at the problem from opposite ends. Not like-for-like (our reading): Blyncsy (Bentley) is an AI inspection and asset-inventory service built on crowdsourced dash camera imagery, with published per-mile rates; Carbon Crusher is a Norwegian road rehabilitation company whose SkyRoads software uses AI to detect and grade pavement distress ahead of its own reclamation work. 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: Blyncsy (Bentley) (Roadway inspection AI from crowdsourced dashcam imagery; vendor publishes prices) vs Carbon Crusher (Road reclamation and AI pavement inspection; no public prices (quote / sales)). Facts last checked Oct 20, 2026. No winner declared; not tested.

Side by side

Blyncsy vs Carbon Crusher: vendor-published facts side by side
Sheet rowBlyncsy (Bentley)Carbon Crusher
CategoryRoadway inspection AI from crowdsourced dashcam imageryRoad reclamation and AI pavement inspection
AI role (our label)AI-firstAI features added to established product
What it doesAI roadway inspection and asset inventory for cities and state DOTs that analyzes crowdsourced dash camera imagery (homepage read Oct 18, 2026): potholes, paint line visibility and striping, crosswalk condition, guardrail damage, MUTCD sign inventory, vegetation and debris, delivered into OpenGIS or another platform the agency prefers. Its pricing calculator (read Oct 18, 2026) lists detection packages including pavement cracking with PASER condition scoring, pavement-marking retroreflectivity compliance (night collection), sign detection, MUTCD classification and nighttime legibility, and storm drain and manhole detection for local agencies. Bentley Systems' iTwin Ventures acquired Blyncsy on Aug 14, 2023; Bentley's release says it detects over 50 roadway safety issues including active work zone locations, and the homepage says up to 90% savings versus manual inspections (vendor claims, not verified by us). Re-read Oct 19, 2026: the site carries a banner reading "Sept 6, 2026 FHWA Compliance Alert: Automate Your Retroreflectivity Method Now" (vendor framing; check the FHWA rule itself for what applies to your agency). Re-checked Oct 20, 2026: homepage unchanged in substance (crowdsourced dash camera imagery, delivery into OpenGIS or another preferred platform, the up-to-90% savings claim, an Open API in the navigation); the FHWA retroreflectivity banner is still shown.Norwegian road rehabilitation company that crushes and reuses the existing road on site (full-depth reclamation) and binds it with a plant-based BioBinder instead of heavy oil. Its YC profile describes Crushing As A Service (CRAAS) for public and private road owners and refurbishers. The company site (read Oct 18, 2026) describes the same process; a partner program that gives road contractors its reclamation method, tractor-mounted crushers, BioBinders and SkyRoads; and the Carbon Rover, which it calls an AI-enabled, autonomous road recycling machine. SkyRoads is road analytics software that, per its page, uses AI to automate pavement distress detection, categorization and grading for municipalities and private road owners. Vendor claims, not verified: the YC profile says about 1.5 tonnes of CO2 removed per 100 feet of road; the homepage says 50 to 150 tonnes per mile; the partner page says 51 tonnes per mile from an Environmental Product Declaration and roads 40-70% stronger. The figures differ between pages. Note: the website on its YC profile (carboncrusher.io) returned a not-found page on Oct 18, 2026; carboncrusher.com describes the same company and process. Y Combinator batch: Winter 2022 (YC company profile). Re-checked Oct 19, 2026: the homepage still gives 50 to 150 tonnes per mile and the SkyRoads page still gives 51 tonnes per mile (EPD) and 40-70% stronger roads; SkyRoads is still described as AI pavement distress detection, categorization and grading with on-demand monitoring, customizable grading and reporting, and flexible pricing by contact. The navigation also lists dust binding, carbon credits and a webshop. Re-checked Oct 20, 2026: the homepage still gives 50 to 150 tonnes per mile and now also says its process extends road life to 17+ years, that roads without asphalt are normally 50-70% stronger and that with asphalt they have 2-3x the load-bearing capacity; the SkyRoads page still gives 51 tonnes per mile (EPD) and 40-70% stronger roads and now also shows 50% faster time to project documentation (all vendor claims, not verified; the strength figures differ between pages). The process is described in three steps: a SkyRoads analysis, crushing and mixing with BioBinder, then paving or leaving the road compacted.
Who it's forCity and state Department of Transportation maintenance and asset-inventory teams.Public road owners such as municipalities, private road owners, and road contractors through its partner program.
Pricing (as publicly stated)Published per-mile rates in the pricing calculator on blyncsy.com/pricing (read from the calculator's code Oct 18, 2026): imagery collection $8 per directional mile, with volume rates of $8, $7 and $6 shown as "$8 < 1M, $7 < 4M, $6 above"; detection from $4 per mile per model, with model-specific rates such as $5 per mile for MUTCD sign classification and $4 per mile for PASER scoring and for pavement-marking visibility compliance (that one with a $10,000 minimum). Centerline miles are doubled to directional miles, rates multiply by survey frequency, and quotes carry a $10,000 minimum. Some detections are annual inventory only. Re-checked Oct 19, 2026: calculator rates unchanged ($8 collection per directional mile, detection from $4 per mile per model, $10,000 minimum). Confirm a quote with the vendor. Re-checked Oct 20, 2026: calculator rates unchanged ($8 per directional mile collection with $7 and $6 volume tiers, detection from $4 per mile per model and $5 for MUTCD sign classification, $10,000 quote minimum and a $10,000 minimum on the pavement-marking visibility model).No public prices found (checked Oct 18, 2026; unchanged Oct 19 and Oct 20, 2026): the site's calls to action are "Get a quote", a "Fix your roads" contact form and a partner sign-up; the partner page mentions competitive pricing without figures. SkyRoads pricing is not shown. Confirm with Carbon Crusher.
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Sources

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

Where the vendor descriptions differ

  • What each is: Blyncsy says it automates roadway maintenance and asset inventory for cities and state Departments of Transportation. Carbon Crusher crushes and reuses the existing road on site (full-depth reclamation) and binds it with a plant-based BioBinder; SkyRoads is its road analytics software, and its process page puts a SkyRoads analysis as step one, before the crushing.
  • What the AI looks for: Blyncsy lists potholes, paint line visibility and striping, crosswalk condition, guardrail damage, MUTCD sign inventory, street lighting, work zones, vegetation and debris, and its pricing calculator adds pavement cracking with PASER condition scoring and a pavement-marking visibility compliance model that needs night collection. SkyRoads says it automates pavement distress detection, categorization and grading, with customizable grading, on-demand monitoring, alerts for emerging issues and reports that track condition over time.
  • Where the imagery comes from: Blyncsy says it crowdsources imagery from hundreds of thousands of dash cameras already on the road and can cover one centerline mile or one million. The SkyRoads page we read does not say how road imagery is captured.
  • Where the results go: Blyncsy says it delivers data into OpenGIS or another platform the agency prefers and lists an Open API. SkyRoads describes a software suite for planning, documenting and surveilling road operations with a model of all your roads; the pages we read list no integrations.
  • Who it is for: Blyncsy names cities, local agencies and state DOTs. Carbon Crusher names municipalities and private road owners for SkyRoads, and offers road contractors a partner program (CRAAS) that supplies its reclamation method, tractor-mounted mobile crushers, BioBinders and SkyRoads.
  • AI tags: Blyncsy stays AI-first. Carbon Crusher stays AI features added: its core business is road reclamation, with SkyRoads and the Carbon Rover, which it calls an AI-enabled road recycling machine, alongside.
  • Pricing (checked Oct 20, 2026): Blyncsy's calculator shows imagery collection at $8 per directional mile ($8 under 1M, $7 under 4M, $6 above), detection from $4 per mile per model ($5 for MUTCD sign classification), a $10,000 quote minimum and a $10,000 minimum on the pavement-marking visibility model. Carbon Crusher publishes no prices: SkyRoads says it offers flexible pricing by contact, and the partner page mentions competitive pricing without figures.
  • Compliance framing: Blyncsy's site carries a banner reading "Sept 6, 2026 FHWA Compliance Alert: Automate Your Retroreflectivity Method Now" (vendor framing; check the FHWA rule itself for what applies to your agency).
  • Not used here: Blyncsy's savings-versus-manual-inspection figure, and Carbon Crusher's CO2, strength, lifespan, load-bearing and documentation-speed figures and its customer quote. 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

  • How the condition grades compared with your own inspectors' ratings on the same roads
  • How current the imagery was for your network and how often it was refreshed
  • How the results got into your GIS or work order system
  • What a survey of your network cost per mile
  • 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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