alcemy AI Quality Management for Cement and Concrete

alcemy GmbH is a Berlin-based software company that describes itself as a native software and AI company from within the cement industry, with about eight years of operation. It helps cement and concrete producers cut CO2 and cost by lowering clinker content and handling raw material variation without sacrificing product quality.

alcemy for Cement ingests mill and composite samples, silo shipment samples, fineness, XRD, XRF and clinker analyses and strength tests, then predicts cement strength in real time and recommends recipe and fineness adjustments across mills, with automatic model retraining and dedicated views for control desks and multi-plant quality teams. alcemy for Concrete tracks each batch from plant to site, covering consistency, water additions, delivery performance and recipe optimisation. Customers are cement groups and ready-mix producers in Germany, Turkey, the US, Colombia and Thailand.

• Strength prediction: AI forecasts cement strength in real time from mill and lab data.
• Recipe and fineness control: recommends adjustments across mills to reduce clinker and handle variation.
• Alternative fuels support: helps plants raise alternative fuel use while keeping quality stable.
• Concrete tracking: follows every batch from plant to site, including water additions and delivery performance.
• Multi-plant views: dedicated dashboards for control desks and group quality leaders with automatic retraining.
• Cloud deployment: web app runs in the cloud with file-based data upload and multiple languages.

Vietnamese cement plants can use strength prediction to reduce clinker in blended cements and prepare for carbon market obligations. Groups operating several grinding stations can standardise quality across sites with multi-plant views. Ready-mix companies in Hanoi and Ho Chi Minh City can track water additions and delivery performance to cut rejected loads.

Real-time strength prediction gives plants the confidence to push clinker factors lower, cutting CO2 and cost per tonne. Customers typically see measurable results within six months and ROI in 6 to 12 months. Quality and production teams report saving up to 10% of their time. Implementation takes a few weeks using data the plant already collects, without exposing live control systems.

Lowering the clinker factor is the fastest lever for cement decarbonisation, but plants hesitate because of strength variability. AI-based quality prediction is spreading from European plants to emerging markets, and Southeast Asian cement producers facing carbon pricing and overcapacity are looking for software that reduces cost and emissions at the same time.

alcemy GmbH is located at Rosenthaler Str. 51, Berlin. It states its software is used by half of all German cement plants and by plant teams on four continents, with case studies from Seza Cimento, Molins and TITAN. In July 2026 it launched the Foundation Partnership co-development programme for an AI-ready data backbone.