Tehnopol AI Accelerator Pitch
We're pitching Gratheon to Tehnopol's AI Accelerator program with the following structure:
- 1min for elevator pitch + team introduction
- 1min for business plan
- 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
- Reference: Issue #8
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
Use cases:
