
E-commerce e SaaS
Caso di studio: Finanziamento e sostegno alla crescita per CREA - Configuratore digitale di impianti per le energie rinnovabili
1. Project Overview
- Client: KCDO Sp. z o.o.
- Project Name: CREA – AI-Powered Configurator for Renewable Energy Investments
- Location: Poland & EU Market Expansion
- Funding Secured: EU grants, EIC Accelerator Funding
- Objective: Develop an AI-driven deep-data platform that helps businesses, municipalities, and individual investors find the best locations for renewable energy infrastructure, reducing investment time, costs, and risks.
2. Challenges & Needs
The renewable energy sector is expanding rapidly, but investment decision-making remains inefficient due to:
- Lack of Data Accessibility: Existing location data for renewable energy projects is fragmented and difficult to analyze.
- Slow & Costly Investment Processes: Investors must rely on manual feasibility studies, increasing project duration from 9 to 24 months.
- Regulatory Uncertainty: The dynamic legislative landscape for Distributed Energy Resources (DERs) complicates investment decisions.
- High Entry Barriers for Investors: Large corporations dominate the market, while small and medium-sized investors struggle with opaque regulations and unreliable data.
3. Our Approach & Solution
Business Strategy & Diagnostic Phase
Freshmango helped KCDO structure CREA’s funding application and market positioning by:
- Defining Unique Market Value: Positioning CREA as a digital-first, AI-powered solution that automates the search and evaluation of RES (Renewable Energy Sources) locations.
- Market & Regulatory Analysis: Conducting EU energy policy alignment assessments to ensure CREA complied with Fit for 55, RePowerEU, and Green Deal initiatives.
- Business Model Development: Structuring multiple revenue streams, including subscription-based analytics, one-time licenses, and consulting services.
- Strategic Partner Engagement: Identifying key stakeholders in government, energy companies, and investment funds.
FundAI Screening & Application Support
Leveraging AI-driven funding research, we identified and applied for grants under:
- EIC Accelerator & Horizon Europe, emphasizing CREA’s role in energy transition & emissions reduction.
- Innovation Funding for AI & Smart Energy, focusing on deep-data capabilities and automation.
- Financial Projections & ROI Modeling, ensuring funders recognized the scalability and economic impact of CREA.
Post-Funding Implementation Support
Once funding was secured, we assisted KCDO with:
- Technical Product Roadmap: Defining the deployment strategy for CREA’s AI-driven configurator.
- Go-to-Market Execution: Connecting KCDO with pilot customers, municipal governments, and corporate energy buyers.
- Investor & Partnership Outreach: Facilitating discussions with energy distributors, DER developers, and landowners to integrate CREA into their workflows.
4. Results & Impact
- Secured EU funding for deep-tech & renewable energy innovation, positioning CREA as a market leader.
- Reduced renewable energy investment decision times from 9-24 months to just 0.5-4 days, significantly accelerating RES development.
- Created an AI-driven RES configurator that analyzes 150+ parameters, including legal, financial, and environmental factors.
- Enabled investors, businesses, and local governments to make data-driven decisions, improving energy security and lowering CO₂ emissions.
5. Key Takeaways & Lessons Learned
- Automating complex data analysis drastically reduces decision-making time in renewable energy investments.
- Aligning innovation with EU regulatory frameworks increases the chances of securing funding.
- A strong go-to-market strategy ensures successful adoption by key stakeholders.