SciBells Technologies

01 / Who we are

We ship AI products.

SciBells Technologies builds AI products that run in the wild — on factory floors, hospital PACS systems, railway trolleys, and emergency drones. We work where precision matters and where downtime is not an option.

Our proprietary MLOps architecture is how we do it — a modular spine that handles data, training, serving, and monitoring so our teams can focus on the model where it matters, and hand it off where it ships.

$1M+

Korean MSIT co-funded R&D on driver assistance + BCI

160FPS

Rail defect detection on Karachi–Lahore pilot deployment

11◉

Live AI systems across healthcare, safety, and automation

02 / What we build

Three pillars. One proprietary spine.

Every system we ship plugs into the same modular MLOps architecture — so an edge model for rail tracks and a 3D CNN for CT scans share the same deployment discipline.

PILLAR 01

AI Vision Suite

Computer-vision systems for inspection, safety, and monitoring — deployed on factory floors, construction sites, and railway infrastructure.

YOLOv7/v8 + ONNX edge inference
Real-time streaming via FastAPI + Redis
Multi-site orchestration + telemetry

PILLAR 02

Intelligent Robotics

Autonomous platforms — drone swarms, area-mapping rovers, and panoramic disaster-response systems — running ROS + SLAM at the edge.

ROS-based SLAM + swarm coordination
NVIDIA Jetson + LiDAR edge stacks
Distributed PostgreSQL/Redis telemetry

PILLAR 03

Medical AI Platform

Clinical-grade diagnostics — CT radiology, EEG epilepsy prediction, and BCI rehabilitation — integrated with hospital PACS via DICOM.

3D CNNs in PyTorch/MONAI + ONNX serving
DICOM-compliant FastAPI microservices
MongoDB time-series for neural data

03 / Field record

Eleven systems. Each shipped to the field.

Korean MSIT · $1M

Driver Assistance System

Behavioral monitoring combining facial expression, posture detection, and traffic-pattern recognition. Real-time drowsiness alerts with 95% accuracy, edge-cloud architecture using Docker + Redis streaming.

PyTorch · OpenCV · ONNX · Redis $1M MSIT R&D

MSIT Korea

Brain–Computer Interface

EEG-driven neural interfaces for stroke rehabilitation, fatigue detection, and mind-controlled drones. MongoDB time-series + MQTT streaming.

OpenBCI · MQTT · MongoDB Multi-phase R&D

HEC Pakistan

Food Shelf-Life Prediction

Visual spoilage detection via smartphone camera. Retail inventory tracking and supply-chain spoilage forecasting. Streamlit + FastAPI + PostgreSQL.

PyTorch · Streamlit · FastAPI 0.4M PKR seed

Pakistan Railways · 2.5M

Safe Rail Inspection

Trolley-mounted cameras performing real-time defect detection at 160 FPS. Predictive maintenance via defect trend analysis. Deployed on Karachi–Lahore.

YOLOv7 · Jetson · PostgreSQL 2.5M PKR pilot

Swarm R&D

Autonomous Area Mapping

Swarm robotics platform using SLAM for real-time 3D mapping of unstructured environments. Disaster-zone rescue, industrial hazard inspection, agricultural surveying.

ROS · LiDAR · Jetson HEC + Industry

HEC · PAF Hospital

AI Medical Diagnostics

Ground-glass opacity detection in CT scans and EEG-based seizure prediction. Hospital PACS integration via DICOM — unified clinician dashboard.

MONAI · 3D CNN · DICOM Clinical validation

Precision Agri

Camouflage Pest Detection

Identifies hidden agricultural pests via edge imaging. Real-time hotspot mapping for precision-pesticide deployment. Geospatial PostgreSQL backend.

GCP · Geospatial · ONNX HEC research

Industry partner

Construction Safety AI

Real-time PPE compliance monitoring and geofence enforcement. Helmet/vest detection, intrusion alerts, audit logs for regulatory compliance.

YOLOv8 · GPS/GIS · Redis Industry pilot

EdTech · HEC

Engagement Detection

Real-time attention tracking and participation analysis for virtual classrooms. Serverless auto-scaling for live video — HEC funded.

Docker · PyTorch · ONNX 0.5M PKR

Disaster Response

Panorama camera ball: 360-degree multi-lens device for disaster zone imaging

Panorama Disaster Ball

360° spherical imaging for crisis zones. Structural damage assessment, survivor detection via thermal/visual fusion, dynamic evacuation heatmaps.

PostGIS · WAN · Embedded Linux HEC + industry

Manufacturing

Automated Quality Control

Conveyor-line inspection with real-time defect detection. High-speed product sorting, surface classification, batch compliance certification.

YOLOv8 · Vertex AI · Redis Factory integration

04 / Industries we serve

Where our systems run.

We build where precision matters — and we keep building because AI isn't a deliverable, it's a lifecycle.

Healthcare AI

Automated radiology reports, symptom checkers, auto treatment plans.

AgriTech

Pest lifecycle forecasts, real-time dashboards, LLM farmer advisories.

Safety

Risk simulations, safety protocol generation, compliance heatmaps.

Smart Cities

Preemptive evacuation planning, public alerts, IoT dashboards.

RetailTech

Automated maintenance reports, leakage alerts, consumption trends.

EnergyTech

Maintenance reports, automated recommendations, consumption trends.

05 / How we work

A small team. A big stack. Real production deadlines.

Every project moves through the same proprietary delivery pipeline — from problem framing to production telemetry. Hover any stage to see what happens inside.

Discover

Problem framing

Workshops with domain experts to map the real bottleneck — not the AI buzzword version of it.

Model

Research baseline

PyTorch architectures benchmarked against published baselines. Every choice traceable to a defensible reason.

Validate

Field trials

Real-world data, real-world edge cases, real-world humans signing off before any pipeline goes live.

Deploy

MLOps spine

ONNX-optimized inference, Docker containerized, FastAPI served. Edge or cloud — same deployment discipline.

Monitor

Telemetry + drift

Continuous monitoring, drift detection, retraining pipelines. Models age — we keep them sharp.

AI that lands
in the real world.

We ship AI products.