FiberSplit AI: Automated Spectroscopic Sorting for Mixed-Textile Recycling

Waste Recycling • Global • Difficulty: Hard • Starting capital: Over €250k • Time to revenue: 18 months

Mixed-textile recycling is blocked by chemically incompatible blends. FiberSplit AI uses NIRS and AI to automate pure-fiber sorting for recycling facilities, turning waste into high-value streams.

What the plan covers

1. Executive Summary
2. Problem Statement & Market Need
3. Proposed Solution & Innovation
4. Target Market & Customer Segments
5. Competitive Analysis
6. Revenue Model & Monetization
7. Go-to-Market Strategy
8. Operational Plan & Implementation
9. Team & Organizational Structure
10. Financial Projections & Funding
11. Risk Analysis & Mitigation
12. Impact Metrics & KPIs
13. Milestones & Timeline
14. Exit Strategy & Long-term Vision

Included when revealed

• Revenue, costs and profit (Chart)
• Cash position (Chart)
• Financial model (Excel) (Spreadsheet)
• A close-up view of the AI-driven air-jet separator mechanism actively blowing di… (Picture)
• A technician calibrating the Near-Infrared Spectroscopy (NIRS) scanner in a clea… (Picture)
• A side-by-side comparison of a messy pile of mixed post-consumer clothing and ne… (Picture)
• The full plan (PDF) (Pdf)