Foresight Data Machines

Name: Foresight Data Machines
Brand: Foresight Data Machines

AI for Heavy Industry

LinkedIn 3K|Website|Web traffic 1K|FTEs 25|HQ London, England, GB

MarketsProduction Planning

01Competitive Landscape

Narrative analysis

Where ScrapChef may provide value: - Vendor materials indicate a focus on automating operational decisioning and supporting frequent, high-volume decisions in raw-material planning. - The offering is described as optimizing economics subject to quality and furnace performance constraints. Where competitors may provide advantages: - Suite breadth and integration: Primetals and Tenova provide wider EAF ecosystems that can include models, sensors, automation, and global services. - Procurement confidence: larger vendors often have more extensively documented security programs, standardized SLAs, and broader reference bases. Adoption trends: - EAF steelmaking growth associated with decarbonization is increasing interest in scrap optimization and raw-material planning tools. Evidence observed here reflects general industry trends rather than market-share metrics for ScrapChef.

	Foresight Data Machines / ScrapChef	Primetals Technologies (EAF models / Scrap Optimization)	Tenova (iEAF®)
Starting Price	Not publicly disclosed (demo-led sales)	Not publicly disclosed (enterprise/plant projects)	Not publicly disclosed (enterprise/plant projects)
Best For	Steelmakers seeking AI and physics-based scrap/raw-material mix optimization and decision support	Producers seeking integrated OEM/process models and connected services	Producers seeking EAF process monitoring/control optimization modules (e.g., DRI-fed EAF scenarios)
Key Strength	Focused product for mix optimization and operational decisioning; vendor materials reference deployments at established operators	Broad domain expertise across steelmaking, long-term OEM automation and services integration	Strong process-automation capabilities and control modules
Key Weakness	Limited public documentation on security/compliance; limited independent public reviews; smaller vendor size implies vendor risk exposure	Complexity as a large vendor; projects may require larger engagements and longer lead times	May emphasize furnace control modules rather than procurement/yard-driven mix economics, depending on configuration

01Competitive Landscape

Narrative analysis

Where ScrapChef may provide value:

Vendor materials indicate a focus on automating operational decisioning and supporting frequent, high-volume decisions in raw-material planning.
The offering is described as optimizing economics subject to quality and furnace performance constraints.

Where competitors may provide advantages:

Suite breadth and integration: Primetals and Tenova provide wider EAF ecosystems that can include models, sensors, automation, and global services.
Procurement confidence: larger vendors often have more extensively documented security programs, standardized SLAs, and broader reference bases.

Adoption trends:

EAF steelmaking growth associated with decarbonization is increasing interest in scrap optimization and raw-material planning tools. Evidence observed here reflects general industry trends rather than market-share metrics for ScrapChef.

	Foresight Data Machines / ScrapChef	Primetals Technologies (EAF models / Scrap Optimization)	Tenova (iEAF®)
Starting Price	Not publicly disclosed (demo-led sales)	Not publicly disclosed (enterprise/plant projects)	Not publicly disclosed (enterprise/plant projects)
Best For	Steelmakers seeking AI and physics-based scrap/raw-material mix optimization and decision support	Producers seeking integrated OEM/process models and connected services	Producers seeking EAF process monitoring/control optimization modules (e.g., DRI-fed EAF scenarios)
Key Strength	Focused product for mix optimization and operational decisioning; vendor materials reference deployments at established operators	Broad domain expertise across steelmaking, long-term OEM automation and services integration	Strong process-automation capabilities and control modules
Key Weakness	Limited public documentation on security/compliance; limited independent public reviews; smaller vendor size implies vendor risk exposure	Complexity as a large vendor; projects may require larger engagements and longer lead times	May emphasize furnace control modules rather than procurement/yard-driven mix economics, depending on configuration