Giatec SmartMix with Roxi AI Concrete Mix Optimization

Giatec Scientific Inc. is a digital concrete technology company headquartered in Ottawa, Ontario, led by co-founder and CEO Pouria Ghods. It aims to unify concrete production, delivery and placement into one intelligent system, helping ready-mix producers use less cement, the main source of concrete's carbon footprint.

SmartMix is a cloud quality control platform that connects dispatch, batching, in-transit and testing data so producers can track mix performance from design to placement. Its AI engine Roxi, developed with backing from MILA and SDTC and trained on more than 300,000 mix designs from 1,500 plants in 20 countries, monitors every mix, flags over-designed mixes and estimates cost, CO2 and workability impacts before changes are made. Modules cover submittal generation, OCR ingestion of break reports, alerts for low breaks and bulk mix changes. Customers include Heidelberg Materials and regional ready-mix producers.

• Roxi optimisation: AI flags over-designed mixes and ranks cement reduction opportunities across the portfolio.
• Impact estimates: predicts cost, CO2 and workability effects before changes and tracks savings over time.
• Quality control: mix history with revert, mix families and submittals with ACI statistical analysis.
• SmartDocs: OCR ingestion of internal and third-party break reports.
• Alerts and automation: real-time alerts for low breaks and out-of-spec tickets, automatic yield adjustment and bulk changes.
• Integrations: connectors to BCMI, Command Cloud, Jonel, Concrete Go, MDispatch, CIDRA SmartHatch and an open API.

Ready-mix companies serving Hanoi and Ho Chi Minh City can use Roxi to identify over-designed mixes and lower cement content while maintaining strength. Concrete suppliers to industrial parks and data centres can quantify CO2 savings for clients' ESG reporting. Multi-plant producers can centralise QC records and submittals in one cloud platform.

Users have seen cement reductions of up to 27% and about 13% overall cost savings on first optimisations, and Tomlinson Ready Mix cut cement use by 8.8% and costs by 5%. Roxi-optimised mixes cut CO2 footprints by up to 20% versus NRMCA benchmark formulations. Routine QC tasks drop from hours to seconds, and most customers are operating within 30 days with first opportunities in about two weeks.

Ready-mix producers routinely over-design mixes with extra cement as a safety margin, wasting cost and carbon. With cement prices and carbon reporting pressure rising, AI-driven mix optimisation is becoming a practical first step to decarbonise concrete, including for fast-growing ready-mix markets in Southeast Asia.

Headquartered in Ottawa, Ontario; co-founder and CEO Pouria Ghods. Roxi was developed with backing from MILA and Sustainable Development Technology Canada. Won Best Use of Automation or AI at the UK Building Innovation Awards 2026 after being a 2025 finalist. A 2025 Microsoft customer case study credits its technology with 2.5 million tons of reduced carbon emissions.