Our pre-launch implementation plan includes finalizing the BCI system’s core functionality, ensuring it performs well in key areas like EEG signal interpretation, imagined speech recognition, robotic control, and emotional analysis. The plans are as follows:

​
Research and Development

  • Prototype Optimization: Refine algorithms for signal processing, classification, and prediction to improve the prototype.
  • Testing with Sample Data: Conduct rigorous testing with real-world data to evaluate accuracy, latency, and usability.
  • User Feedback Loops: Collaborate with a small group of test users to gather feedback on system performance and user experience.
  • Assemble a full product by integrating the system into a wheelchair.
  • Hardware & Software Integration: Ensure the BCI hardware and software work seamlessly together, with no communication delays or data loss.

​
Regulatory & Compliance Preparations

  • Ensure the BCI system complies with industry standards, privacy, and data security regulations.
  • Obtain Certifications: Research and obtain necessary certifications for medical devices or neurotechnological products.
  • Data Privacy & Security Protocols: Implement secure data handling processes to comply with laws.
  • Ethics approval: Ensure the product has medical or psychological applications.

​
Beta testing

  • Conduct a beta launch to a controlled group like hospitals or a target audience to identify and resolve potential issues before a wider release.
  • Select Beta Users: Identify key users such as researchers, early adopters, or potential clients in the neuroscience or tech field.
  • Set Testing Parameters: Define what aspects to test (e.g., user interaction, system accuracy, long-term usability).
  • Feedback Collection & Analysis: Gather detailed feedback from beta testers, especially focusing on performance issues, user interface, and practical application.
  • Iteration Cycles: Address bugs, enhance features, and make improvements based on beta testing results.

​
User experience

  • Finalize the BCI’s user interface and overall experience for both technical and non-technical users.
  • UX Design: Ensure the system interface is intuitive and easy to use for all user groups (researchers, medical professionals, or general users).
  • Instructional Materials: Create user guides, tutorials, and onboarding materials to assist users in understanding how to use the BCI system effectively.
  • User Journey Testing: Conduct tests to refine the onboarding process, ensuring that users can set up and use the system without difficulty.

​
Marketing and awareness campaign

  • Build awareness and excitement for the BCI product pre-launch.
  • Develop strategies for content marketing, influencer partnerships, webinars, and presentations at industry conferences.
  • Launch a dedicated website that provides detailed information about the BCI, its features, and benefits.
  • Utilize social media to highlight key features, benefits, and behind-the-scenes developments, engaging potential users and industry professionals.

​
Partnerships and industry collaboration

  • Establish partnerships and collaborations to boost credibility and market reach.
  • Seek academic partnerships: with universities, neuroscience labs, or research institutions to validate the BCI technology through studies and papers.
  • Medical or Research Industry Partnerships: Partner with organizations in healthcare or neurotech industries to co-develop use cases or applications for the BCI system.
  • Sponsor or Present at Conferences: Increase visibility by showcasing the BCI at major industry events, workshops, or conferences like IEEE Brain or other neuroscience platforms.
Target Market Pitch Video