ShunyAI
Designed for intelligence environments where signals are incomplete, fragmented, or noisy.
Development stage: Architecture validation and domain framing
The pilot portfolio is where Cognivanta validates architecture choices against actual domain requirements, operator needs, and deployment constraints.
Designed for intelligence environments where signals are incomplete, fragmented, or noisy.
Development stage: Architecture validation and domain framing
Domain: wellbeing intelligenceExplores longitudinal context, self-reflection, and adaptive personal insight across evolving user states.
Development stage: Concept and interaction system design
Domain: legal intelligenceSupports legal reasoning with evidence context, procedural memory, and structured synthesis.
Development stage: Knowledge architecture and pilot scoping
Provides topic-based knowledge exploration with contextual insights and guided technical inquiry.
Development stage: Experience design and structured content integration
Investigates shared task understanding, collaboration safety, and adaptive physical assistance.
Development stage: Systems design and use-case modeling
Combines navigation, human override, and environmental perception for assistive autonomous mobility.
Development stage: Control architecture and safety workflow definition
Domain: aerial autonomyBuilds mission-aware drone intelligence for sensing, planning, and controlled autonomous response in dynamic outdoor settings.
Development stage: Mission architecture and autonomy stack prototyping
Each pilot is used to test specific assumptions about memory, reasoning, deployment, and human interaction. The goal is to produce platform knowledge, not isolated proofs of concept.
Identify the cognitive primitives required by the domain and define operational boundaries.
Map how humans, agents, devices, and safety policies intersect through the platform.
Validate reasoning quality, latency, autonomy bounds, and auditability in a constrained setting.