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Tehnopol AI Accelerator Pitch

· 2 min read

We're pitching Gratheon to Tehnopol's AI Accelerator program with the following structure:

  1. 1min for elevator pitch + team introduction
  2. 1min for business plan
  3. 1min for 6-month plan, detailing what we aim to achieve during the AI Accelerator program (month by month)

AI Accelerator Plan​

Our primary goal is to make Gratheon production- and GTM ready (securing first paying customers!) by focusing on targeted product development.

We've divided our 6-month plan into three key product areas, allocating 2 months to each:

IoT Sensors Device (Months 1-2)​

  • Implement configurable alerting for anomalies (e.g., sudden weight loss)
    • Add SMS alerting channel via Twilio integration
  • Integrate Prophet AI model to predict future hive weight based on:
    • Historical weight data
    • Weather data
    • Entrance observer bee counts
    • Potential future application: bee colony demography forecasting

Why: This AI-driven approach differentiates us from existing IoT solutions in the beekeeping market and adds significant value for beekeepers.

Web Application (Months 3-4)​

  • Enhance queen detection from frame photos
    • Current limitation: Clarifai-trained model with small dataset and suboptimal precision
  • Resolve AI model stability issues (resource constraints)
    • Evaluate Clarifai cloud hosting
    • Test models on our own infrastructure
    • Optimize for CPU usage
  • Fix queen toggling functionality
  • Improve basic statistics display and data visualization

Why: These improvements will increase the value proposition for customers who manage apiaries through frame photos, providing meaningful statistics and insights that drive initial customer acquisition.

Entrance Observer (Months 5-6)​

  • Build a working pipeline for bee counting on the edge (NVIDIA Orin)
  • Develop telemetry API integration with web application
  • Implement real-time count display in web interface
  • Validate real-time inferencing capabilities

Why: This creates a new product offering (entrance camera + GPU) with minimal development effort, while establishing a foundation for future iterations on more cost-effective and energy-efficient devices (ESP32 cam, Raspberry Pi).

Expectations from AI Accelerator​

  • Refine product value proposition and messaging
  • Improve business model (pricing strategy, GTM approach, unit economics)
  • Technical guidance for AI implementation (addressing the challenges outlined above)
  • Intellectual property support (logo design, trademark registration)
  • Preparation for investor due diligence
  • Community engagement and networking opportunities