ED-TECH ENTERPRISES LLC

Raising $1M to fund a SAFE-IN-SCHOOLS - A Technology Enabled Security school safety framework and suite of tools and AI technology to protect and address the threats facing schools

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Welcome to ED-TECH ENTERPRISES, where cutting-edge technology meets increased parent engagement, reduced absenteeism, improved student safety, and individualized student success. Fostering open dialogue among educators, parents, and students emphasizes the importance of increasing conversations between these key stakeholders. Increased dialogue can unlock the potential in each student, leading to their overall growth, success, and safety. Harnessing the power of Artificial Intelligence, Machine Learning, and Behavioral Science, our platform creates a secure and nurturing learning space. We prioritize meaningful conversations between educators, students, and parents that reduce chronic absenteeism while driving unparalleled student success and school safety.  Our team is comprised of educators, 

Our platform listens and responds to parents, students, and educators, fostering a 'Say Something - See Something' ethos accessible through personal smartphones in over 130 languages...computers nor apps required. In a world where 70% of parents express concerns about school safety, including the looming threat of shootings, our system addresses these worries head-on. We recognize the value of lockdown drills in empowering staff and protecting lives, yet we emphasize caution and practical communication to prevent potential harm during these critical exercises. 

Assuming a 180 day school year, the average student generates $65.34 in funding for the school district per day. Therefore the total loss of funding associated with student absenteeism each year is $10.7 billion dollars in the US.  Our AI technology and services provide strategic intercention that targets the right students and parents to promote school attendance.  Dollars saved will more than pay for our solution and sercices.  ED-TECH ENTERPRISES utilizes AI, Machine Learning, and Behavioral Science through smartphones to significantly drive student readiness for college and the workforce in various ways:
Personalized Guidance and Resources: AI-powered platforms can offer personalized recommendations for academic pathways, college preparation, and career choices based on individual student profiles and interests. These recommendations can be shared with families, guiding them in supporting their child's aspirations.
Accessible Communication and Support:
Chatbots and text-based platforms can provide families with immediate access to information, resources, and support regarding college applications, financial aid, vocational training, and career exploration, fostering a supportive environment at home.  ED-TECH ENTERPRISES utilizes AI, Machine Learning, and Behavioral Science through smartphones to significantly drive student readiness for college and the workforce in various ways:
Targeted Nudges and Reminders:
AI-driven nudges and reminders can inform families about critical deadlines, scholarship opportunities, college fairs, or college and workforce readiness workshops. These nudges prompt families to support their child's preparation proactively.
Behavioral Insights for Engagement:
Behavioral science integrated into these platforms can analyze family engagement patterns and preferences, enabling tailored communication strategies that encourage sustained involvement in the student's educational and career journey.
Skill Development and Readiness Tips:
AI-powered systems can recommend skill-building resources, workshops, or online courses aligned with workforce demands. Families receive guidance on fostering essential skills in their child for future career success.
Financial Planning and Literacy:
AI can provide guidance on financial literacy, including information on college expenses, savings plans, and financial aid options. This empowers families to make informed decisions regarding their child's education.
Progress Tracking and Support:
AI-driven platforms can track student progress and milestones, sharing updates with families. This transparent view of the student's development encourages families to actively engage and provide necessary support.
Cultural and Linguistic Inclusivity:
Offering resources and communication in multiple languages ensures that all families, irrespective of their language or cultural background, can engage effectively, fostering inclusivity and involvement.
Acknowledging parents as pivotal figures in their children's lives, ED-TECH ENTERPRISES elevates family involvement as the linchpin to reducing absenteeism, bolstering school safety, addressing and documenting bullying incidents, and guiding students toward meeting expectations for targeted Key Performance Indicators. Our commitment to college and workforce readiness begins as early as Pre-K and supports student success through college and career.

ED-TECH ENTERPRISES integrates 2-way communication with smartphones, utilizing Artificial Intelligence, Machine Learning, and Behavioral Science to create data-driven feedback mechanisms and site-based training. We partner with School Safety Experts - Former FBI/CIA safety specialis with scientifically advanced safety technology custom designed for each school.Our team provides data to facilitate school safety plans evolving into living documents that continuously adapt to the ever-changing needs and concerns of the school community, ultimately creating a safer environment for everyone.
Emergency Response: Instant two-way communication can allow students, teachers, and staff to report emergencies or suspicious activities quickly. AI can analyze these reports, classify them, and escalate them to appropriate authorities.
Language Barrier Elimination: By supporting multiple languages, this system ensures that language barriers don’t hinder communication during emergencies. It ensures that everyone, irrespective of their language proficiency, can report and understand crucial information.
Behavioral Analysis: AI and behavioral science can help identify patterns in communication that may signal potential safety threats. Analyzing communication patterns can help in the early detection and prevention of issues like bullying, violence, or mental health concerns.
Real-time Monitoring and Alerts: AI-powered systems can monitor social media, school platforms, or other sources for potential threats. Machine learning algorithms can analyze data in real time, providing alerts if certain keywords, images, or patterns are detected.
Anonymous Reporting: Offering an anonymous reporting system could encourage students who might otherwise be reluctant to report safety concerns due to fear or other reasons.
Customized Alerts and Responses: AI can also personalize responses based on the nature of the reported incident and the context. For instance, it could provide different instructions or support depending on whether it’s a medical emergency or a security threat.
Predictive Analytics: Machine learning algorithms could analyze historical data to predict potential safety concerns or patterns, enabling proactive measures to prevent incidents.
Educational Initiatives: Behavioral science can inform the design of educational initiatives aimed at promoting safety awareness and positive behavior among students.
Engagement and Collaboration: Encourage collaboration among students, parents, and educators in the review and modification of safety plans. This collaborative approach ensures diverse perspectives are considered and fosters a sense of ownership and commitment to safety.
Metrics and Key Performance Indicators (KPIs): Define measurable KPIs to assess the effectiveness of safety plans. Data-driven metrics can help in evaluating the success of training initiatives and the implementation of safety protocols.
Regular Updates and Communication: Keep stakeholders informed about the changes made in the safety plans based on their feedback. Transparent communication about how their input has influenced the safety measures can enhance trust and participation.
Data Analysis for Plan Improvement: Use machine learning and data analytics to process the feedback collected. Analyze patterns, common concerns, and emerging issues to identify areas that need improvement or modification in the safety plans.
Adaptive Safety Plans: Develop safety plans that are adaptive and responsive to the changing dynamics within the school community. Machine learning algorithms can help in suggesting modifications or updates to the plans based on the analyzed feedback.
Site-Based Training: Conduct site-based training sessions that utilize real-time data and scenarios. These sessions can simulate various safety situations based on the feedback received, making the training more relevant and effective.
Behavioral Insights for Training: Utilize behavioral science insights derived from the data to tailor training programs. Understanding how individuals respond to safety protocols or training can help the school safety plan become a living document, updated with ongoing input and training utilizing data derived from our platform.

ED-TECH ENTERPRISES leverages AI, machine learning, and behavioral science with two-way communication via smartphones, which can have a profound impact on empowering families to support their children's readiness for college and workforce success from home. Here's how:
Tailored Guidance and Resources: AI and machine learning algorithms can analyze individual student data and behavioral patterns to provide personalized recommendations and resources for academic improvement, college preparation, and career readiness. This targeted approach ensures that families receive guidance tailored to their child's specific needs.
Accessible Support via Texts and Nudges: Utilizing texts and nudges, AI-powered systems can deliver timely reminders about deadlines, upcoming events, and actionable steps for college and career preparation. This accessible mode of communication keeps families informed and engaged, promoting continuous involvement in their child's educational journey.
Chatbot Assistance and Guidance: Chatbots equipped with AI can act as virtual assistants, providing immediate responses to queries related to college applications, financial aid, scholarship opportunities, career exploration, and more. This real-time assistance ensures that families have access to information whenever they need it.
Behavioral Insights Driving Engagement: Behavioral science integrated into these systems can identify motivational triggers and engagement patterns within families. Leveraging this insight, targeted nudges and messages can be crafted to encourage sustained involvement in supporting the student's academic and career goals.
Tracking Progress and Milestones: AI-powered systems can help track student progress, achievements, and milestones, providing families with real-time updates on their child's academic growth. This transparent view fosters a sense of involvement and allows families to celebrate achievements together.
Inclusive Multilingual Support: By offering communication and resources in multiple languages, AI-driven systems ensure inclusivity, making vital information accessible to families from diverse linguistic backgrounds.

Empowering Families with Information: Providing comprehensive resources and guidance through these platforms empowers families to understand the requirements and steps involved in the college application process, financial planning, skill development, and career pathways.
Continuous Learning and Adaptation: These systems can continuously learn from interactions, feedback, and user behavior, adapting their recommendations and resources better to serve the evolving needs of families and students.
By leveraging AI, machine learning, behavioral science, and interactive communication via smartphones, educators can create a supportive ecosystem that empowers families to play an active role in nurturing their children's readiness for college and success in the workforce, even from the comfort of their homes or wherever desired.

ED-TECH ENTERPRISES integrates 2-way communication with smartphones, utilizing Artificial Intelligence, Machine Learning, and Behavioral Science to create data-driven feedback mechanisms and site-based training. Our team provides data to facilitate school safety plans evolving into living documents that continuously adapt to the ever-changing needs and concerns of the school community, ultimately creating a safer environment for everyone.



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