How we build AI systems
AIMPLE is the infrastructure platform. EmotionAI is the human-centered architecture and experience philosophy. Together they connect dependable operations with meaningful interaction.
AI Orchestration
- Technical purpose
- Coordinate workloads and compute around operating priorities.
- Operating problem
- Competing jobs can interrupt interactive services.
- How we apply it
- Coordinate execution priorities and resource allocation around the application workload.
- Related platform
- AIMPLE ↗
AI Runtime
- Technical purpose
- Execute inference, generation and training with consistent resource controls.
- Operating problem
- Models need a dependable execution environment beyond a demonstration.
- How we apply it
- Connect model execution, memory and resource controls across deployment environments.
- Related platform
- AIMPLE Runtime ↗
AI Data
- Technical purpose
- Connect data pipelines and standardize inputs for repeatable AI operations.
- Operating problem
- Inconsistent inputs make production workflows difficult to repeat.
- How we apply it
- Prepare data flows and formats around media, enterprise and interactive applications.
- Related platform
- AI Infrastructure ↗
AI Agents
- Technical purpose
- Connect AI reasoning with enterprise tasks and accountable workflows.
- Operating problem
- Reasoning alone does not complete a business process.
- How we apply it
- Connect agent tasks to bounded workflows, permissions and human review.
- Related platform
- Enterprise AI ↗
Generative AI
- Technical purpose
- Turn models into media, creator tools and production applications.
- Operating problem
- Generation must fit a creative production process.
- How we apply it
- Connect model outputs to music, creator and digital human experiences.
- Related platform
- MUTA / AIMPLE Human ↗
Physical AI
- Technical purpose
- Connect intelligence with sensors, spaces and human activity.
- Operating problem
- Timing, sensing and human activity change outside the screen.
- How we apply it
- Connect interactive intelligence with devices, venues and spatial experiences.
- Related platform
- RIMA ↗
Edge AI
- Technical purpose
- Run interaction close to devices where response time matters.
- Operating problem
- Remote execution can add delay to a physical interaction.
- How we apply it
- Place time-sensitive processing near devices and define how local and remote systems cooperate.
- Related platform
- Physical AI ↗
Security
- Technical purpose
- Define access, data boundaries and deployment controls around the workload.
- Operating problem
- AI workloads cross data and access boundaries.
- How we apply it
- Define access, isolation and deployment controls as part of the operating design.
- Related platform
- AIMPLE Infra ↗
EmotionAI
EmotionAI Architecture describes the human interaction layer of Emotionwave technology. AIMPLE provides the infrastructure platform; see AI Infrastructure for runtime and deployment architecture.
Future Lab
Explore the research directions beyond today’s operating capabilities.