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Futur AI

Futur AI combines blockchain and artificial intelligence to certify the origin and full lifecycle of composite material components used in space, aerospace, and defense structures.

Ascoli Piceno, ItalyFounded 20244500+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Manufacturers of composite material components for space, aerospace, and defense lack a reliable method to capture, verify, and preserve detailed production and lifecycle data, making it difficult to guarantee part integrity, compliance, and traceability throughout service and recycling.

Solution

Futur AI provides an integrated platform that combines patented artificial‑intelligence algorithms with blockchain technology to automatically collect key production parameters—such as temperature exposure, fire events, and mechanical stress—and immutably record them on a distributed ledger. The system continuously appends operational data during the component’s service life, enabling real‑time monitoring and predictive analytics for maintenance and replacement planning. By ensuring each data point is unique, tamper‑proof, and auditable, the platform delivers end‑to‑end traceability from manufacturing through disposal and recycling, supporting compliance and performance assurance for high‑risk structures.

Target Audience

Primary customers are manufacturers and suppliers of composite components for space, aerospace, and defense programs, as well as OEMs and integrators that require certified traceability for certification and maintenance planning.

Features

  • AI‑driven data acquisition that extracts and formats sensor and machine data from manufacturing equipment without manual entry
  • Automatic, cryptographically signed logging of each data record onto a blockchain for immutable, tamper‑evident storage
  • Continuous lifecycle data capture, including environmental exposure, fire incidents, and mechanical loads during operation
  • Machine‑learning models that analyze accumulated data to forecast optimal maintenance intervals and component replacement timing
  • Unified dashboard that visualizes traceability chains, carbon‑footprint metrics, and compliance status for each part
  • API integration layer that connects the platform with existing MES, PLM, and ERP systems for seamless data flow
This profile is AI-generated and may contain inaccuracies.