ITER IDEA’s AI-powered Resource Planning Solution AIRP tackles inefficiencies in industries where resource planning, allocation, management, and reporting remain manual, static, and labor-intensive. Resource planners in manufacturing, public service, and healthcare sectors use AIRP’s custom constraints and rapid scenario planning tools to save the equivalent of 2 FTEs and $20-30k per month. ITER IDEA has bootstrapped $1.4M revenue in 3 years, and recently partnered with gener8tor and WCTC to bring AIRP to Wisconsin to solve workforce management and retention issues, which were recognized as top priorities by the 2025 Wisconsin Manufacturing Report.
Co-Founders
Guido Mazza – CEO, Co-Founder & Product Owner
Key competencies: Leadership, Business Development, Field Expertise, Shareholder Relations. AWS Cloud Engineer | Led to EBITDA €220K in 2024 as the only Business Developer. Project Manager for Eurostars, former Developer Partner for Zucchetti SPA and over 100 SMEs. 12 years experience making ERP systems more efficient for manufacturing firms. Under his leadership, ITER IDEA has doubled revenue annually since 2021, yearly.
Product
Based on allocation algorithms, AIRP can find optimal solutions for asset scenario planning tailored to each customer’s flexible constraints, custom rules, and objective functions. Unlike off-the-shelf solutions, organisations select AIRP because it is capable of mapping custom constraints and requirements quickly into the algorithms and that the optimal scheduling solution is identified within seconds.
AIRP combines constraint programming and generative AI to automate shift planning, resource allocation and production scheduling, cutting planning time by 80% and idle capacity below 10%. Seeking distributors, integrators and pilot clients.