Turin’s NANDO Secures €3.3 Million to Scale Municipal and Food Waste Optimisation Technology

Why It Matters

The capital enables NANDO to scale a data‑centric solution that cuts waste‑related costs and emissions, addressing tightening sustainability mandates for municipalities and large food‑service operators.

Key Takeaways

• €3.3M round led by MAIA Ventures and CDP VC
• NANDO serves 80 clients in 17+ countries
• Platform processes 40,000 waste images daily worldwide
• Funding fuels EU expansion and new product lines
• WasteTech sector totals ~€9M disclosed funding 2025‑26

Pulse Analysis

NANDO, the Turin‑based AI startup formerly known as Re Learn, closed a €3.3 million capital increase in February 2026. Led by MAIA Ventures and CDP Venture Capital, the round adds to earlier participation from Piemonte Next Fund and existing backers. The infusion will accelerate development of the company’s computer‑vision platform, which already analyses more than 40,000 waste images each day and supports around 80 clients across 17 countries. By unifying municipal, industrial and food‑waste data into a single dashboard, NANDO aims to turn raw footage into actionable efficiency metrics for operators worldwide.

The funding arrives amid a broader surge of capital flowing into Europe’s WasteTech and CleanTech ecosystems. In 2025‑26, adjacent startups such as Jaipur Robotics, Hydryx, Resilico and Future Greens have collectively raised roughly €9 million, underscoring investor confidence in AI‑driven waste optimisation. NANDO’s €3.3 million round represents the largest single tranche in this niche, positioning the firm as a potential market leader. The capital will fund geographic expansion into the UK, US and Asia, as well as new product modules for specific waste streams.

For municipalities and large food‑service operators, real‑time waste analytics can translate into measurable cost savings, reduced labor exposure and lower carbon footprints. By providing granular, continuous monitoring, NANDO helps clients replace manual audits with automated decision support, aligning with EU circular‑economy targets and tightening waste‑reporting regulations. As the sector grapples with rising labor costs and material price volatility, scalable AI solutions like NANDO’s are likely to become essential tools for achieving sustainable production and consumption models, driving both economic and environmental returns.