Foresight Data Machines

• If formal, publicly verifiable security certifications (SOC 2/ISO 27001) are required upfront and the vendor cannot provide documentation (even under NDA).
• If the buyer requires an end-to-end EAF automation suite from a single OEM (electrical systems, burners, off-gas units, electrode regulation, etc.) rather than a focused optimization layer.
• If the plant’s data foundation is weak (poor scrap inventory tracking, inconsistent lab/chemistry capture, limited process historian access); in such cases, data modernization may yield higher ROI before an optimization layer.
• If procurement requires abundant peer reviews on Gartner Peer Insights, G2, or TrustRadius as part of vendor evaluation; such reviews do not appear to be publicly available for FDM/ScrapChef.
• If transparent list pricing and self-serve purchasing are required; the offering appears to use a demo-led, enterprise sales model.

• Scrapped public material on ScrapChef’s site includes a vendor-hosted testimonial attributed to ArcelorMittal Hamburg that states the solution provided tangible operational benefits.
• An industry association (AIST) page describes ScrapChef as FDM’s primary product and states that it automates scrap mix optimization to minimize tapped cost while preserving quality and furnace performance.
• Posts on LinkedIn shared by FDM reference statements attributed to ArcelorMittal Germany about daily/dynamic optimizations and reduced complexity in day-to-day work; these are partner statements rather than independently verified reviews.

Positives suggested by public materials:

• The solution is reported to be deployed at a major steel operator (ArcelorMittal Hamburg) and is discussed in industry contexts.
• Public descriptions indicate a focus on continuous, frequent decisioning and operational integration rather than purely dashboard-oriented deliverables.

Negatives / concerns related to limited independent evidence:

• Limited third-party user validation constrains independent verification of ROI claims (for example, vendor-reported modest percentage cost savings).
• Lack of publicly documented security/compliance artifacts can impede enterprise procurement timelines.

What is described:

• ScrapChef is referenced on ScrapChef marketing materials as being used by ArcelorMittal Hamburg, Germany.
• Social posts attributed to ArcelorMittal Germany discuss daily dynamic optimizations replacing manual individual decisions, with statements about optimized scrap mixes and reduced operational complexity.

What is missing / methodological gaps:

• No independent, audited ROI study or detailed measurement methodology was publicly available.
• Vendor-reported modest percentage cost savings were not supported by public baseline definitions, control periods, or statistical validation in accessible materials.

Recommended validation checklist:

• Request a written case study that specifies: baseline tapped cost definition; measurement duration; control mechanisms (before/after, matched periods); quality constraint metrics (chemistry deviations, reblows, downgrades); and operational metrics (tap-to-tap time, electrode consumption, energy usage).

Foresight Data Machines (FDM) is a UK-based industrial AI vendor focused on metals (steelmaking) and mining. Public materials describe the company as combining AI, physics-based models, and operations engineering to support complex production decisions in heavy industry.

FDM’s primary product is ScrapChef (hosted on the product website), described in public materials as an AI system for optimizing raw-material planning and operations in metals production—particularly electric-arc furnace (EAF) steelmaking. The vendor reports small, single-digit percentage cost-savings and states that ScrapChef has made thousands of decisions to date; these figures are vendor-reported and were not independently verified in this research.

Important naming/brand ambiguity: “ScrapChef” also appears as unrelated consumer recipe apps/sites in search results (e.g., an iPad recipe app and a recipe generator site). Those are not evidently connected to FDM’s industrial product. This report focuses on the ScrapChef industrial product and Foresight Data Machines company (company and product web presences).