Frequently Asked Questions

Find detailed answers about MyStuff's technology, features, and future

In controlled testing, our AI identifies common household items with 93% accuracy and estimates values within a 87% accuracy range. For unique or complex items (e.g., heirlooms), the app prompts you to add details—ensuring transparency and control. We continuously refine our models using partnerships with insurance adjusters and retail pricing data.

Key Points:

  • Prioritizes transparency: Shows you exactly what it detects
  • Improves over time with user feedback

We use Python-based AI (TensorFlow/PyTorch) for object recognition, trained on diverse household item datasets. Our cloud infrastructure leverages Microsoft Azure for secure, scalable storage and processing. Future integrations include damage assessment AI and insurer APIs.

Key Points:

  • Built for reliability and scalability
  • Plans to expand features like video scanning

Sustainability matters. We optimize AI models for efficiency, partner with renewable-energy cloud providers, and explore off-peak processing. While computational costs exist, we're committed to minimizing our carbon footprint.

Key Points:

  • Actively pursuing green infrastructure
  • Transparent about trade-offs

You're in control. Tag items as "Sentimental" or "High Value," add custom descriptions, and override AI suggestions. Our AI flags low-confidence items for your input, ensuring culturally sensitive documentation.

Key Points:

  • Respects user expertise
  • Continuously improving diversity in training data

60% of homeowners lack proper inventories, leading to 30% lower insurance payouts. User interviews with disaster survivors confirm the emotional and financial toll of manual documentation. Competitors lack our AI automation and insurance focus.

Key Points:

  • Data-backed problem
  • Proven demand in high-risk areas

We transform chaos into clarity. Unlike manual methods, MyStuff:

  • Automates item identification and valuation from existing photos
  • Generates insurance-ready reports instantly
  • Offers secure, organized storage tailored for claims

Key Points:

  • No more spreadsheets or guesswork
  • Built for disaster recovery
  • User procrastination: Mitigated by emphasizing ease and partnering with insurers for incentives
  • Insurer skepticism: Addressed through pilot programs and standardized outputs
  • Technical scalability: Solved via robust cloud architecture and continuous monitoring

Key Points:

  • Proactive risk management
  • Focus on partnerships and user education

We save insurers time and money by:

  • Reducing claim processing time
  • Minimizing disputes with photo-backed evidence
  • Improving customer satisfaction

Key Points:

  • Win-win for insurers and homeowners
  • Pilot programs underway with regional providers

To become the global standard for home documentation, expanding into:

  • Moving/estate planning
  • Small business inventory
  • Integration with smart home systems

Key Points:

  • Beyond disasters: Ownership simplified
  • Continuous innovation and expansion
  • Phase 1: Dominate wildfire-prone regions
  • Phase 2: Adapt AI for floods, hurricanes, and theft
  • Phase 3: Localize for international markets with regional insurers and NGOs

Key Points:

  • Scalable tech, phased growth
  • Partnerships drive global reach