Multi-Modal mmWave Radar
Synchronizing mmWave radar for precise, privacy-compliant dwell-time tracking. Hardware-layer expertise critical for high-fidelity signal processing in dense enterprise environments.
// Overview
Teevo Labs provides the high-level expertise required to turn raw sensor data into actionable business intelligence. We manage the theoretical and practical application of mmWave radar, edge computing, computer vision, and generative AI for the world's most sophisticated audience measurement and personalization ecosystems.
01 / Capabilities
Core technical capabilities
Edge Computing & SoC
Optimizing edge data collection directly on System-on-Chip (SoC) platforms (Tizen, WebOS). Eliminates cloud latency by processing CNN models at the edge for instant personalization.
Computer Vision (CV)
Implementing advanced convolutional neural networks for real-time demographic triggers and audience measurement protocols.
Generative AI Integration
Orchestrating LLM integration into analytics ecosystems to deliver automated, natural-language business narratives based on sensor data.
03 / Platform
// Platform OverviewEdge-Fusion Architecture
Multi-modal sensor inputs are synchronized and fused at an intelligent edge gateway, then routed to enterprise analytics and local, real-time content execution.
Sensor Inputs
3D LiDAR4K CamerasmmWave RadarThermal SensorsIMU / GPSAcoustic Sensors
Intelligent Edge Gateway
- Sensor Synchronization
- Multi-Layer Data Fusion
- TinyML / AI Inference
Cloud & Enterprise Analytics
Selective data & insights streamed upstream for BI, attribution, and reporting.
Local Action Execution
Re-configuring digital signage content in real time from AI-fused edge insights.
05 / Platform
// Technical CapabilitiesAnalytics Platform & Edge AI Architecture
Teevo Labs manages the end-to-end design, deployment, and operational governance of a multi-tenant analytics platform that processes sensor data at the edge and delivers real-time business intelligence to enterprise clients.
Edge AI & SoC Optimization
Deployment and runtime optimization of CNNs directly on heterogeneous SoC platforms. Eliminates cloud latency by processing inference at the edge for instant personalization and trigger response.
TizenWebOSAndroidUbuntu 18.04Raspberry Pi
On-Edge Rules Engine
Real-time event orchestration that triggers messages, alerts, and digital content changes based on sensor-derived signals. Sub-second response governed by client-defined rule subscriptions.
Real-Time EventsRule EngineContent Triggers
Privacy-by-Design Architecture
Compliance framework engineered into the platform: no PII captured, no images stored, with anonymization performed at the sensor layer. Most operations processed on-edge to minimize data transit.
GDPRCCPAEdge Anonymization
Data Transformation & KPI Layer
Formula editor for custom KPI generation, time-boxed event correlation, and ingestion of third-party data including point-of-sale for unified attribution. RESTful API for downstream BI integration.
REST APIPower BITableauExcel
Generative AI & Anomaly Detection
AI engine learns baseline operational patterns and flags anomalies. LLM-orchestrated narrative layer translates raw analytics into plain-language commentary delivered to mobile or browser dashboards.
LLM OrchestrationAnomaly EngineAuto Insights
Multi-Tenant SaaS Operations
Centralized client and device management: role-based access, remote troubleshooting, and device monitoring across globally distributed sensor fleets, with single-pane-of-glass operational visibility.
RBACDevice MgmtRemote Ops
// Company
Global Reach
With deep roots in the Hong Kong technology research sector (formerly inReality Limited), Teevo Labs has evolved into a global leader in AI implementation, bridging Asian R&D excellence with North American enterprise scale.
Leadership
Led by a technical visionary with over 20 years of experience in systems architecture, global operations, and startup scaling — translating advanced research into deployable enterprise platforms.
06 / Hardware
// Contact