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Materials informatics platform that predicts R&D outcomes
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MaterialsZone is an AI-powered materials informatics platform that unifies data management with machine learning. It helps enterprise R&D teams streamline workflows and reduce the number of experiments needed.
MaterialsZone ingests structured and unstructured data from Excel, PDFs and lab instruments, links it to ERP, LIMS, ELN, PLM and CRM systems, and trains models to suggest next experiments. An API supports Python scripts and analytical tools.
R&D organizations that develop materials-based products and want to shorten development cycles. The vendor reports 60x faster data aggregation, 70% fewer experiments and 5x faster development, which are its own claims.
MaterialsZone does not publish pricing or a free trial. Buyers request a demo.
Tamarind Bio and Rowan focus on computational chemistry and biology tools, and 310.ai offers AI models for science. MaterialsZone targets materials R&D data management plus prediction.
Pricing Model
QUOTE BASED
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Compliance Standards
SOC 2 Type II
EnterpriseISO 27001
EnterpriseGDPR Compliant
GlobalHIPAA
HealthcarePCI DSS
FinanceCCPA
PrivacyFedRAMP
GovernmentCSA STAR
CloudDeployment & Data
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