Artificial Intelligence
AI-first strategy, intelligent assistants, workflow automation, predictive insights, and generative applications.
● Pillar 02 · Build, test, scale
HBI’s applied product-development and commercialization engine—connecting global innovation capabilities with locally relevant challenges and opportunities.
The mission
The Foundry brings together technical experts, students, industry partners, researchers, and communities.
Together, they explore concepts, prototype solutions, validate value, and advance commercialization around challenges that matter.
● Core capabilities
Every capability is applied through a human-centered lens, with clear users, measurable outcomes, and a path beyond the prototype.
AI-first strategy, intelligent assistants, workflow automation, predictive insights, and generative applications.
Purpose-built AI agents, copilots, knowledge retrieval, tool integration, workflow orchestration, and responsible deployment.
Responsive, accessible web applications that connect intuitive user experiences with secure, scalable technology.
Cloud, data, integration, security, and application architectures designed around business goals and long-term scale.
Product discovery, user experience, rapid prototyping, MVP delivery, testing, and launch readiness.
Sensors, edge devices, connected environments, cloud integration, and real-time monitoring.
Secure architectures, privacy, threat awareness, data governance, and resilient connected systems.
Mobility, public services, infrastructure intelligence, and data-enabled decision support.
Connected-car concepts, transportation ecosystems, vehicle data, digital experiences, and safety innovation.
Market discovery, prototyping, validation, partnerships, business models, and scale strategy.
Engagement model
The HBI Innovation Foundry structures MVP projects as focused three-month development sprints, aligning discovery, solutions architecture, product development, testing, and launch readiness around a defined outcome.
Define users, needs, constraints, and desired outcomes.
Develop concepts, experiences, architectures, and business assumptions.
Build testable products, workflows, demonstrations, and pilots.
Measure performance, refine the model, and prepare for deployment or commercialization.
● Bring us a challenge