AI Chat's Two Real Problems: the Blank Prompt and "I Don't Know"
What happens after launch? How to design a learning ecosystem that turns a static AI tool into a system that improves with use.
At this pivotal moment—where technology accelerates, markets evolve, climates change, and new generations emerge—we envision a future that redefines how things are designed and built, unlocking unprecedented value and creating a better world through continuous learning, creativity, AI-powered solutions, and pioneering innovation.
Drawing on 25 years of hands-on experience with startups, corporations, and our own entrepreneurial journey, Next Halo guides organizations through today's dynamic landscape. Recognizing this as a defining moment for the next decade and beyond, we empower clients to thrive by embracing change, learning continuously, and pivoting effectively.
Our team operates with a dynamic toolbox of experts across various disciplines, allowing us to quickly bring the right skills to any project. Through close collaboration, we leverage diverse perspectives, innovative tech with specialized knowledge to ensure the best outcomes.
Our natural flexibility allows us to seamlessly integrate into new teams and adapt to evolving customer needs, which are thoroughly incorporated into every solution we deliver—efficiently and effectively.
The Challenge Our client needed to launch a commercial AI platform, but faced a critical trust barrier. The requirement: a core AI engine that was "Secure by Design" and GDPR-compliant, ensuring sensitive enterprise data never leaves their control.
Our Solution: A Private Central Intelligence Unit We architected the Central Intelligence Unit (CIU), a 100% private, production-ready core engine. This modular AI co-pilot operates within a secure, sovereign environment. We built a sophisticated RAG pipeline using privately hosted LLMs and embedding models. This "Secure by Design" foundation, orchestrated with LangGraph, ensures all data processing is in-house. This guarantees zero data exposure, full data sovereignty, and complete GDPR compliance.
The Impact: A Secure, Market-Ready Product We delivered a powerful, secure, and commercially viable AI platform. The system enhances data security, ensures compliance, and provides a future-ready, modular foundation.
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The Challenge: How do you truly understand human movement in a complex physical space? Traditional methods—manual counts, sensors, or CCTV review—are slow, fragmented, and fail to provide a complete, actionable picture for optimizing layout, staffing, and flow in busy retail floors or transport hubs.
Our Solution: Multi-Camera Computer Vision POC. We architected a system that detects, tracks, and transforms human movement from multiple 2D camera feeds onto a single unified 2D floor plan. Using YOLOv4 for detection, DeepSort with OSNet for resilient tracking, and homography transformation for coordinate mapping, the system generates dynamic heatmaps that provide immediate, intuitive visual intelligence.
The Impact: The POC successfully validated the approach, turning raw data into actionable insights. Stakeholders gained unified views of foot traffic patterns, bottlenecks, and underused areas—forming a direct line from data to decisions on layout, staffing, and operational optimization.
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We are developing a project dedicated to enhancing therapeutic activities for children with autism spectrum disorder (ASD) and developmental delays. Outline drawings are approximately 60-70% essential for creating a comprehensive, engaging, and adaptable educational approach, making them a vital educational tool.
Children with ASD and developmental delays often face challenges in fine motor skills, sensory processing, communication, and social interaction. Traditional resources frequently fall short of addressing their unique needs. To bridge this gap, our AI-powered platform offers customizable outline drawings, providing personalized, engaging, and therapeutic activities that support their development. By tailoring content to each child’s interests and developmental level, this tool aims to foster creativity, improve motor skills, and promote meaningful social engagement.
The platform leverages AI to generate outline drawings based on user inputs, allowing for customizable complexity and themes. In Phase 1, the focus will be on creating personalized drawings for families, educators, and therapists. Phase 2 will introduce sequential storybook frames to support social stories and emotion recognition exercises. Designed for global accessibility and ease of use, the platform will ensure that children, regardless of location, can benefit from its resources.
We invite you to support this nonprofit initiative. Together, we can make a difference in the lives of children worldwide.
Traditional job fairs devour space, paper, and travel budgets while excluding candidates who live far away, have mobility challenges, or face tight finances. Virtual Fair Job replaces those resource-heavy gatherings with a Three.js-powered 3D fair that runs in any browser and complements on-site venues, letting remote and in-person attendees share the same event in real time. Candidates stroll through immersive booths, chat with recruiters, and review digital brochures—no flights, no print runs, far lower carbon.
An Elixir/Erlang back end auto-scales to national traffic, while dynamic scene generation tailors each hall to user interest. Live video, voice, and text keep human connection intact; built-in analytics track booth visits and engagement. The platform is future-ready, designed for quick expansion to VR headsets such as Apple Vision and Meta Quest, giving organizers a single toolset for fully virtual or hybrid formats.
The impact is clear: zero venue fees for remote participants, sharply reduced emissions, and broader reach on both sides of the hiring table. Companies showcase their brands in rich 3D without shipping banners, while job seekers join from any device or walk the physical hall with equal access to content. As hybrid events become the norm, Virtual Fair Job delivers scalable, inclusive, and genuinely green recruitment.
What happens after launch? How to design a learning ecosystem that turns a static AI tool into a system that improves with use.
How to get the intelligence and efficiency of modern AI without shipping your data to someone else's servers. A case study in building a secure, GDPR-compliant AI system.
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