SmartMix is Giatec’s AI-powered concrete mix optimization and quality-control software, built for ready-mix producers.
QC Only covers core quality-control data capture and reporting; AI Only focuses on predictive mix optimization; Complete bundles both plus full batch/QC reporting and integrations.
Roxi analyzes mix specifications, performance requirements, historical batch, break, and materials data to recommend mix adjustments that maintain performance while reducing cost.
Yes, SmartMix can generate batch/QC analysis reports, filterable by date range and other parameters.
Yes, gradation and materials data can be filtered and reported over custom date ranges.
Yes, data sources can be tagged/separated so you can distinguish internal QC results from third-party lab submissions.
Yes, small-scale trial data can be linked to full-batch production results to validate mix designs.
Yes, the system can track and compare results across different cylinder/sample types.
Yes, manual entry is supported for lab trials and gradation data when automated pull isn’t available.
Audit logging for mix design changes is available and continues to be expanded.
Yes, in many configurations SmartMix can both pull and push mix designs with Command Alkon-based batching systems.
Yes, integration with Sysdyne/Concrete Go is supported in many deployments.
Integration availability varies by specific platform. Confirm compatibility with your rep for your exact system and version.
Yes, integration with Forney Vault is currently supported.
Compatibility varies. BCMI integration is supported in many cases; confirm Rice Lake status with your rep.
Compatibility should be confirmed directly with your rep, as availability depends on your specific setup.
An API is available in many cases for custom integrations, sometimes at an additional cost.
This is usually a data-mapping or sync-timing issue; support can help trace and correct the discrepancy.
Yes, submittal templates can generally be customized to match your required format.
Yes, direct PDF upload is supported for submittals in most cases.
Direct email-from-platform capability varies by account configuration; manual download/send is always available.
Yes, sorting and filtering options exist for managing submittal documents.
These are managed within the SmartMix mix design module; onboarding or support can walk through the steps.
Test data can be manually entered, pulled from a break system like Forney vault, or uploaded via email or as a document through our document scan. User roles are managed per account under the users section.
Users are alerted on new material additions and predictive low breaks.
Yes, mixes can be saved and applied across plants; expanded material-grouping tools are planned.
The system auto-pulls where integrated with your lab/ERP system; manual entry is also supported.
Yes, mix-level inclusion/exclusion settings are available.
Yes custom reports are supported.
Regional standards support varies by market. Confirm with your rep for your region.
Yes, load factor and related derived calculations are generally supported.
Yes, the platform automatically generates strength trend graphs and reports from entered/imported break data.
These are advanced features available in some configurations. Ask your rep which are included in your plan.
It extracts key details from scanned tickets/test sheets automatically, reducing manual data entry.
Yes, SmartMix has mobile-friendly access in addition to the desktop/web platform.
Yield calculations are performed automatically from batch data, with flags raised when a mix falls outside expected tolerances.
Yes, once a mix revision is approved, it generally propagates to relevant plants/batches.
Yes, optimization can be tailored to the specific materials and inventory available at each plant.
It’s an OCR-based tool that scans documents like break sheets to automatically populate tickets/records.
Yes, tracking of certifications, admixture usage, and equipment calibration records is supported.
Yes, mobile access supports field-level data entry, reducing reliance on paper records.
This refers to a one-time fee sometimes associated with onboarding/integration; ongoing pricing may adjust with volume.
Adoption varies by region; ask your rep for relevant regional customer examples.
Accuracy depends on proper calibration including admixture dosage; validation against your specific mix is recommended.
Aggregate blending calculations are supported within the mix design tools.
Historical curves and mix designs can typically be imported during onboarding.
Water-addition data entry is generally available via both mobile and desktop interfaces.
More historical data improves quality; a few months of consistent batch/break data is a good starting point.
Yes, given sufficient historical data, the engine accounts for variability over time.
Yes, Roxi operates in the cloud, with data stored on Giatec’s secure cloud infrastructure.
SmartMix supports both metric and imperial units; your account can be set to your preferred system.
Yes, the platform supports mix design calculations and maintains version history.
Dosage control is configurable per mix design as part of the optimization and QC workflow.
Typically an independent/accredited lab or the producer’s own QC team, since a party can’t validate its own concrete for compliance.
Pricing is generally subscription/tier-based (often per plant), not a per-yard fee. Confirm your plan structure with your rep.
Yes, in many cases these can be configured as custom reports by the Giatec team.
Yes, in many cases a fixed annual rate can be negotiated instead of a strict per-unit fee.
Yes, statistical QC calculations, including standard deviation analysis, are generally built into the reporting tools.
DOT/regulatory approval status varies by jurisdiction and specific report requirements. Confirm current status with your rep.
Roxi is Giatec’s AI engine that powers SmartMix’s mix optimization and analytics, the underlying intelligence, not a separate standalone product.
Yes, Roxi operates in the cloud, with data processed and stored on Giatec’s secure cloud infrastructure.
More historical data improves quality over time; a few months of consistent batch/break data is a good starting point.
It’s an OCR tool within the Roxi ecosystem that scans documents like break sheets to automatically populate records.
Yes, given sufficient historical data, Roxi’s models account for variability over time, including seasonal effects.
Yes, this is one of Roxi’s core functions, recommending adjustments that maintain target performance while lowering cost.
Giatec positions Roxi as a first-of-its-kind AI program purpose-built for concrete mix optimization and performance prediction.
No. Roxi is designed to support and augment decisions with data-driven recommendations, not replace professional judgment.
Yes, recommendations are generally presented for review before changes are applied to production.
For newer mixes with limited history, recommendations may be more conservative until sufficient data accumulates.
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