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.

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