Home / Compare / Concrete.ai vs Giatec SmartMix
Concrete.ai vs Giatec SmartMix
Two AI mix-optimization tools for concrete producers: Concrete.ai's Concrete Copilot and Giatec's SmartMix with its Roxi AI engine. Concrete.ai publishes a short homepage with two average figures; Giatec publishes a longer feature list and sells SmartMix alongside in-truck monitoring and sensors. Vendor-published facts only; desk research, not tested, no winner.
In short: Concrete.ai (AI concrete mix design optimization; no public prices (quote / sales)) vs Giatec (Concrete testing, sensors & AI mix optimization; no public prices (quote / sales)). Facts last checked Oct 17, 2026. No winner declared; not tested.
DESK RESEARCH, NOT TESTED. Compiled from vendors' public websites (accessed Oct 17, 2026). Vendor claims are not verified by Means & Methods Lab. No scores or rankings.
Side by side
| Sheet row | Concrete.ai | Giatec |
|---|---|---|
| Category | AI concrete mix design optimization | Concrete testing, sensors & AI mix optimization |
| AI role (our label) | AI-first | AI features added to established product |
| What it does | Concrete Copilot uses AI and machine learning, combined with engineers' judgment, to optimize ready-mix and precast mix designs for performance, cost and carbon. Vendor claims mix designs in seconds, average material savings of $5.04 per cubic yard, and a 30% average carbon reduction (vendor claims, not verified). The CSV records a $5.22M Series A. Re-read Oct 17, 2026: homepage unchanged in substance (millions of data points analyzed, optimal mix designs in seconds, the two average figures above); it does not name integrations or data sources. | Smart concrete testing products: SmartMix (AI-powered mix optimization integrating dispatch and telematics data), MixPilot (in-truck, calibration-less monitoring of slump, temperature and volume from plant to pour), SmartRock wireless temperature and strength sensors (including SmartRock Long Range at up to 1,000 ft and SmartRock Pro, described as the first fully self-calibrating strength sensor), and NDT and lab equipment for corrosion rate, electrical resistivity and chloride penetration. The CSV records a C$17.5M Strategic Innovation Fund commitment for AI and sensor R&D. SmartMix page (read Oct 17, 2026): describes Roxi, an AI engine it says is trained on over 98 million cubic metres of concrete mix designs (vendor claim), that monitors every mix, finds and prioritizes cement-reduction opportunities and quantifies cost, CO2 and workability effects for review; also lists submittal generation (3-point curves, ACI statistical analysis, spec sheets), SmartDocs OCR for break reports, alerts for low breaks and out-of-spec tickets, an audit trail for mix changes, and cloud dispatch integrations with BCMI, Command Cloud, Jonel, Concrete Go and MDispatch. |
| Who it's for | Ready-mix and precast concrete producers. | Ready-mix producers, concrete contractors, testing labs and owners assessing existing structures. |
| Pricing (as publicly stated) | No public prices found (checked Oct 16, 2026; unchanged Oct 17, 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. | No public prices found (checked Oct 16, 2026; unchanged Oct 17, 2026): the vendor site has no pricing or plans link in its navigation or footer, and /pricing and /plans return a not-found page. Links matching "plan" go to product and accessibility pages, not pricing. The site's calls to action include "Get a quote" and "Request a demo". Confirm current pricing with the vendor. Earlier note (Oct 15, 2026): Get a Quote and demo requests offered. |
| Test status | Not tested. No scores. | Not tested. No scores. |
| Vendor links | ||
| Sources |
Facts last checked: Oct 17, 2026. Prices change; check the vendor page before relying on them.
Where the vendor descriptions differ
- What the AI does: Concrete.ai says Concrete Copilot combines big data and AI with engineers' judgment to optimize mix designs for performance, cost and carbon, creating optimal mix designs in seconds (vendor claim). Giatec says Roxi monitors every mix around the clock, finds cement-reduction opportunities across the whole mix portfolio, quantifies cost, CO2 and workability effects for review, and prioritizes the highest-impact changes.
- Who it is for: Concrete.ai names ready-mix and precast producers. Giatec calls SmartMix a quality control platform built for ready-mix producers.
- Training data: Giatec says Roxi is trained on over 98 million cubic metres of concrete mix designs (vendor claim). Concrete.ai says it analyzes millions of data points; we did not record what the data covers.
- QC workflow: Giatec lists mix and material history with revision logs and one-click revert, submittal generation (3-point curves, ACI statistical analysis, spec sheets), SmartDocs OCR for break reports, alerts for low breaks and out-of-spec tickets, and an audit trail for bulk mix changes. Concrete.ai's homepage does not describe QC or submittal features.
- Connections: Giatec lists cloud dispatch integrations with BCMI, Command Cloud, Jonel, Concrete Go and MDispatch, and ties SmartMix to its MixPilot in-truck monitoring and SmartRock sensors. Concrete.ai's homepage does not name integrations.
- Figures: Concrete.ai claims average material savings of $5.04 per cubic yard and a 30% average carbon reduction (vendor claims, not verified; no method shown). Giatec's SmartMix page shows cement-reduction and cost-saving headings, but the figures did not load in the page text we read, so we recorded none.
- Pricing: neither vendor publishes prices; Concrete.ai routes to a demo request and Giatec to quotes and demos.
Paraphrased from the sources listed above. Vendor claims are reported as claims.
What we can't tell you yet
Which tool is better for your work. That needs testing on the same package with a verified answer key. Planned measures for this comparison:
- Cement content and 28-day strength before and after on the same mixes and plants
- How many recommended changes a QC manager accepts or rejects, and why
- How each handles local materials and spec limits it has not seen before
See the methodology and leaderboard status.
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