to transform how commercial facilities are inspected, cleaned, and managed. Our vision is to make cleaning measurable, autonomous, and continuously improving through data.
The Challenge
Commercial cleaning remains one of the world's most labour-intensive industries. Hotels, hospitals, offices, airports, and public facilities still depend on manual inspections, paper checklists, and inconsistent reporting.
Spot checks miss issues; guest complaints and rework follow inconsistent room verification.
Liquid spills and chemical handling put cleaners at slip, fall, and exposure risk every shift.
Without optimized room order and task sequencing, teams walk more and clean less per hour.
Limited telemetry means managers cannot forecast staffing, audit compliance, or improve continuously.
A next-generation platform integrating AI vision, mobile assistance, intelligent task orchestration, cloud analytics, and robotic automation to redefine cleaning operations through data, intelligence, and autonomy.
Industries
Problem
Slow turnovers and guest complaints from missed room details.
Sokina
Faster verified inspections, fewer rework incidents, audit logs per shift.
Expected ROI
Payback in 6–18 months via reduced rework and faster room readiness.
Problem
Strict cleanliness standards and compliance documentation burden.
Sokina
Timestamped detections, incident escalation, and supervisor dashboards for audits.
Expected ROI
Measurable compliance trail and reduced hazard response time.
Problem
Large repetitive floor plans with centralized ops and fleet-scale needs.
Sokina
Route optimization, Edge Vision for corridors, and fleet SaaS for multi-building ops.
Expected ROI
≥25% inspection time reduction target in pilot deployments.
Our Vision
We believe every facility should understand its own cleanliness in real time. Instead of relying on manual inspections, Sokina combines AI vision, digital workflows, and robotics to create a continuous operational intelligence layer.
Intelligent Inspection of Sokina
01
AI-powered cameras continuously scan rooms and workspaces to identify cleaning issues, safety hazards, and missed areas in real time.
02
Computer vision automatically detects trash, spills, misplaced items, overflowing bins, and other cleanliness issues while assigning priority levels.
03
The system creates a digital cleaning checklist with prioritized tasks, assigns them to staff or robots, and tracks completion automatically.
04
Real-time dashboards provide cleaning analytics, staff performance, compliance scores, and operational insights to improve efficiency over time.
AI Intelligence
Sokina combines multiple AI technologies into one connected platform.
Cameras, LiDAR, and edge AI modules for room understanding and obstacle detection.
1080p + depth, IP65, ROS2 driver
VLA vision input for trash, spill & linen detection
270° FOV, 12m range, indoor SLAM
Real-time map building & obstacle avoidance
Jetson-class SBC, 20–30 TOPS INT8
On-device inference under 300ms latency
9-axis IMU, 4× ultrasonic bumpers
Motion fusion & proximity safety cues
Platform Capabilities
Start with Mobile Assist, add Edge Vision for corridors, and integrate retrofit floor-cleaners when ready.
Camera scan, detection overlay, checklist, and incident alerts on any cloud platform.
Compact camera + edge compute for continuous monitoring in corridors and large rooms.
ROS2 autonomy layer for existing scrubbers — supervised passes with human override.
Fleet management, model registry, analytics, billing, and secure OTA model delivery.
Development Roadmap
Year 1
Market research, AI model development, computer vision research, robotics feasibility, product architecture, technology validation.
Year 1–2
AI inspection platform, mobile application, computer vision, guided checklists, cloud dashboard, data collection.
Year 2-3
Real-world pilot deployments, edge AI, IoT integration, route optimization, operational analytics, customer feedback.
Year 3-4
Robotic assistance, autonomous navigation, task orchestration, human-robot collaboration, remote supervision.
Year 4-5
Multi-site management, predictive analytics, digital twins, multi-robot coordination, enterprise integrations, AI optimization.
Year 5
Full commercial release, enterprise deployment, partner ecosystem, continuous AI learning, global expansion, ongoing innovation.
AI & Privacy
≥88%
Detection precision target
<300ms
On-device inference
12 mo
Default image retention
0
Unsupervised robot ops at launch
Prefer local processing on phone and edge hardware; minimize cloud image upload.
Bengali and English consent flows; workers can opt out; clear retention policies.
Automatic face blur on any uploaded images; room IDs instead of GPS where possible.
Cleaners confirm every detection; supervisors review overrides; no silent automation.
Robotics
Rather than replacing human workers, Sokina is designed to enhance productivity through intelligent collaboration.
Sokina Mobile Assist
Room 204 — Deluxe King

Room camera preview — issues visible on carpet
Pilot Program
Whether you're a commercial facility operator, technology partner, or investor, we'd love to explore how Sokina can help redefine the future of facility operations.