Bora Technology HK Limited

Edge Intelligence Operations Desk

Bring edge AI from pilot to daily operations

Bora Technology HK Limited connects data capture, local inference, event rules and cloud orchestration into one production-ready platform. Keep low latency on site, observability in headquarters, and every action auditable.

<50msEdge response latency
40%+Lower cloud bandwidth
10k+Nodes per cluster

Trusted by operations teams across industries

Retail Chains Smart Factories Campus IoT Cold Chain Logistics Hubs Energy Sites
Edge operations monitoring screens
Unified observability · latency · accuracy drift

Why Bora Technology HK Limited

Detection alone is not enough — you need closed-loop operations

Most edge AI projects stall after PoC because inference, rules, and business systems stay disconnected. Bora Technology HK Limited closes the loop from signal to action.

  • Local inference keeps response under 50ms even when cloud is unreachable
  • Rule engine converts detections into tickets, alerts, and control commands
  • GitOps-style rollout manages thousands of nodes with rollback and audit
  • Full trace from data input → model output → business action

Core capabilities

One platform, three execution layers

Local autonomy first, centralized governance second — built for scale from day one.

Edge Runtime

Hybrid CPU/GPU/NPU scheduling, hot model updates, and offline-safe operation at store or factory side.

  • Canary rollout
  • Offline queue
  • Multi-backend

Cloud Orchestration

Massive node lifecycle management with grouped rollout, rollback, config audit, and remote diagnostics.

  • GitOps config
  • Group policy
  • Remote diag

Event Automation

Convert detection results into tickets, messages, broadcasts, and control commands with rule-driven workflows.

  • Visual rules
  • Escalation
  • Anti-jitter

Product modules

Seven modules, one operational outcome

Every module converts detection into action, and action into auditable operations.

01

Edge Inference Runtime

Millisecond response without cloud round-trip dependency.

  • Hybrid CPU / GPU / NPU with auto backend selection
  • Hot updates and canary rollout for zero-downtime replacement
  • Offline-safe with local cache and task queues
02

Model Hub & Optimization

One model runs reliably across different edge hardware.

  • Unified versioning for detection, OCR, speech, and more
  • Auto quantization and compilation (FP16/INT8)
  • A/B comparison and one-click rollback
03

Real-Time Data Ingestion

Clean complex field data locally before inference.

  • Camera, sensor, PLC, POS, RFID, microphone streams
  • RTSP, MQTT, OPC-UA, HTTP, Kafka protocols
  • Local preprocessing and cross-device time sync
04

Event & Rule Engine

Not only detect issues — resolve them automatically.

  • Business events: stockout, PPE missing, queue overflow
  • Visual rule orchestration with thresholds and escalation
  • Auto-trigger SMS, tickets, broadcast, and stop commands
05

Cloud-Edge Console

One console to manage nationwide stores and factory nodes.

  • Thousands of nodes: status, resources, temperature, load
  • Grouped policy rollout by store, line, or region
  • GitOps config-as-code with full audit trail
06

Observability & SLA

Locate failures in seconds, not by guesswork.

  • E2E latency, inference FPS, accuracy drift, frame drop
  • Node telemetry: CPU/GPU/NPU, memory, disk, network
  • SLA dashboards and threshold alerts
07

Security & Compliance

Real-time performance with enterprise compliance built in.

  • Device identity, certificate rotation, zero-trust access
  • End-to-end encryption with edge data residency
  • Role hierarchy and immutable audit logs
Zero-trust security lock

Operations console

See every node, event, and action in real time

edgepulse-console · live
Event Bus Node Map SLA Board Audit Log
128Online nodes
43msp95 latency
2.4kEvents / min
3Active alerts
17:39:01 NODE-021 Camera-Entrance fps=28 status=healthy
17:39:03 EVENT QueueLengthHigh value=12 window=45s
17:39:04 RULE QueueWarning action=SMS+Voice
17:39:05 ACTION BroadcastSent store=SZ-018
17:39:09 NODE-005 PLC-Vibration anomaly=0.82
17:39:10 RULE SafetyStop action=LineHalt
17:39:12 ACTION WorkOrderCreated ticket=WO-88421
17:39:18 NODE-117 Shelf-A3 stock=LOW
17:39:19 RULE RestockFlow action=POS+OMS
Latency trend chart

Latency trend · last 24h

Industry solutions

Ready-to-launch solution packs

From platform capability to business outcomes — templates tied to real field KPIs.

Retail store operations Retail

Retail Stores

Shelf recognition, queue alerts, and shrinkage prevention with measurable conversion impact.

+12% conversion -35% false alerts
Smart factory robotics Manufacturing

Smart Factory

Defect inspection, PPE compliance, and line safety actions integrated to MES workflows.

-28% defect rate +18% OEE
Industrial energy and IoT infrastructure Industrial IoT

Industrial IoT

Anomaly detection and predictive maintenance to cut downtime and improve equipment usage.

-40% downtime -22% inspection cost

Architecture

Device to action, fully traceable

Not a static diagram — an execution path for diagnosis, governance, and scale.

Layer 1 Device Layer

Cameras, sensors, PLC, POS, and microphones collect field signals.

Layer 2 Edge Layer

Preprocess, infer, and execute rules on local nodes even when network is unstable.

Layer 3 Cloud Layer

Manage models, node status, releases, and observability from one console.

Layer 4 Business Layer

Sync events into ticketing, ERP, MES and notification systems for closed-loop ops.

0%+

Lower end-to-end latency vs cloud-only

0+

Edge nodes managed per cluster

0.9%

Target node availability SLA

0 days

Typical PoC to production path

Trust & security

Enterprise-grade from edge to cloud

Zero-Trust Access

Device identity, certificate rotation, and role-based access for HQ, region, and site.

Data Residency

End-to-end encryption with sensitive data processed and stored at the edge when required.

Full Audit Trail

Track who changed policies, released models, and triggered actions — immutable logs.

Offline Resilience

Core inference and rule execution continue when cloud connectivity is lost.

Canary Rollout

Gradual model and config deployment with instant rollback on anomaly detection.

Multi-Region Governance

Consistent operations across regions with localized policy and compliance controls.

Deployment

From PoC to production in four phases

Week 1–2

Discovery & PoC Scope

Define KPI targets, node inventory, data sources, and integration endpoints.

Week 3–4

Pilot Deployment

Deploy edge runtime, ingest streams, and validate inference latency on site.

Week 5–6

Rule & Integration

Configure business rules, connect MES/ERP/ticketing, and tune alert thresholds.

Week 7+

Scale & Operate

Grouped rollout to more sites, SLA dashboards, and ongoing model optimization.

Make your first edge AI rollout production-ready in 30 days

Share your scenario and KPI target. We will return a PoC blueprint with rollout phases, SLA design, and governance checklist.

Email: service@ourbora.com Tel: +44 7564288965 Address: UNIT 1022A, Beverley Commercial Centre, 87-105 Chatham Road South, Tsim Sha Tsui, Kowloon, Hong Kong
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