Research Fund Projects

The National Centre of Artificial Intelligence (NCAI) in Pakistan aims to foster AI R&D and commercialization nationwide. One key goal is to develop local AI expertise by tackling challenging problems. To support this, NCAI has set aside 200 M PKR to incentivize AI research in academia and industry, prioritizing merit-based initiatives that address local issues.

Point-of-Care Electronic Test Kit for Rapid Detection of Pathogens using Graphene-Transistors as Biosensors

Startup Name: EBioSensors4Life

Developed a portable, AI-supported rapid test detecting various pathogens via tunable carbon sensors; utilizes backend AI for accurate pattern matching, enhancing early disease detection and reducing false-flags in point-of-care diagnostics.

Funding Amount

PKR 14.467 Millions

Principal Investigator

Dr. Arsalan Jawed

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Industrial Partner

1. EmergTech

AID Path: AI Based Digital Pathology for Precision Cancer Diagnostics

Startup Name: Amal

AID Path introduces AI-driven digital pathology for cancer diagnosis, reducing costs and turnaround time significantly. Its deep learning method enhances diagnostic accuracy, aiming to serve mainstream hospitals and remote areas in Pakistan without qualified pathologists, potentially saving millions for patients annually. With an affordable positioning, it seeks to cut patient expenses by offering reliable second opinions and potentially redirecting treatments, contributing to substantial economic impact in cancer care.

Funding Amount

PKR 12.969 Millions

Principal Investigator​

Dr. Hammad Naveed

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Industrial Partner

Internet Of Things (IoT) and AI Enabled System for Crop Disease Monitoring and Prediction

Startup Name: Agri-DMap

An AI-infused IoT system uses high-resolution imaging to swiftly detect and classify wheat rust severity. This tech aids prompt agricultural interventions, safeguarding crop yield and ensuring food security against this devastating fungal disease.

Funding Amount

PKR 9.447 Millions

Principal Investigator​

Dr. Rafia Mumtaz

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Industrial Partner

On-Chip Epilepsy Predictor using AI for Chronic Neurological Disorders

Startup Name: 

The project aims to develop an ultra-low-power AI seizure prediction processor integrated with an in-house EEG sensor, empowering proactive neurofeedback to mitigate epilepsy’s impact. By closing the loop between detection and real-time personalized feedback, it aims to reduce seizure occurrences and associated mental health issues. Its novelty lies in on-sensor AI integration, overcoming drawbacks of commercial EEG headsets, and a miniaturized, long-lasting design, offering a promising solution for epilepsy management.

Funding Amount

PKR 14.421 Millions

Principal Investigator​

Dr. Awais Bin Altaf

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Industrial Partner

Re-Designing E-recruitment using AI for Temporal Analysis

Startup Name: Mulazmat

An AI-driven E-recruitment overhaul harnesses temporal data for an advanced recommender system, benefiting global HR processes and candidate shortlisting. Using NLP, temporal analysis, and feedback learning, it refines candidate-employer matches, promoting skill growth and job retention. Employing semantic analysis and query optimization, it enhances precision, reducing search time for employers seeking specific skill sets.

Funding Amount

PKR 13.007 Millions

Principal Investigator​

Dr. Shujaat Hussain

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Industrial Partner

An AI based Adaptive Framework for Personalized E-Learning

Startup Name: iParhai

An AI-driven learning initiative targets Pakistan’s high illiteracy by offering adaptive and adaptable content to both in-school and out-of-school children, leveraging personalized frameworks for self-paced learning. Using AI-based classifiers and deep learning, this project aims to create an ICT-enabled distance learning platform, ultimately reducing the country’s illiteracy rates significantly.

Funding Amount

PKR 12.915 Millions

Principal Investigator​

Dr. Jawwad Shamsi

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Industrial Partner

A Deep Learning based Automated Defect Detection System for Manufacturing Industry

Startup Name: 

An industrial defect detection project utilizing computer vision and deep learning targets Lead Acid Battery plate manufacturing, enhancing productivity and quality. Integrating hardware like conveyer belts and IoT modules for data tracking, it offers adaptable solutions for multiple industries beyond batteries. This adaptable model garnered industry interest, leading to an industrial orientation program, aligning with the “Made in Pakistan” initiative to boost local production and economic growth.

Funding Amount

PKR 10.287 Millions

Principal Investigator​

Dr. Khalid Khan

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Industrial Partner

Social Solidarity via Physical Distancing

Startup Name: Pixonomy

An AI-powered solution utilizing computer vision monitors public spaces, identifying social distancing violations to aid law enforcement in timely interventions. This system aims to stabilize the economy by enabling responsible reopening of businesses while ensuring safety measures in workplaces. Studies confirm the effectiveness of social distancing, motivating the development of hardware and software to enforce SOPs in various public areas, contributing to curbing COVID-19 spread.

Funding Amount

PKR 12.389 Millions

Principal Investigator​

Dr. Hassan Sajid

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Industrial Partner

Application of Artificial Intelligence in Vascular Disease Management

Startup Name: VASP

This project employs AI to enhance PAD diagnosis via CTA scans, enabling rapid prediction of disease and surgical planning, aiding clinicians within minutes for effective patient management. Utilizing cloud-based systems, it swiftly transfers and analyzes data from PIMS hospital, providing crucial parameters for detecting stenosis and aiding surgeons in decision-making. The AI PAD algorithm, trained via Deep Learning, identifies risks and complications, supporting accurate interpretations of CT scans for peripheral artery diseases.

Funding Amount

PKR 13.484 Millions

Principal Investigator​

Dr. Tanwir Khaliq

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Industrial Partner

Artificial Intelligence Based Cardiac Monitoring System with Biotelemetry

Startup Name: Digital Mualij Health Pod & D.HEALTHEZ

This project delivers a portable cardiac monitoring system, D-Health EZ, integrating biotelemetry and AI for swift diagnoses, adaptable to varied settings from home to disaster-stricken areas. It includes an acquisition device, mobile app, and cloud-based server for data logging and diagnosis, offering patient guidance and appointment scheduling. As a locally developed solution, it not only fills a market gap at an affordable price but also fosters local manufacturing, creating job opportunities and reducing reliance on imported devices.

Funding Amount

PKR 8.926 Millions

Principal Investigator​

Dr. Zia Mohy ud Din

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Industrial Partner

Autonomous Indoor Environment Management System

Startup Name: AIEMS

The AIEMS project targets environmental sustainability by integrating AI in buildings, focusing on HVAC systems to optimize energy use and enhance comfort. Employing machine learning and vast datasets, it develops predictive models, with the Transformer model showing superior performance in temperature forecasting. Results indicate a 47.5% energy reduction while maintaining satisfactory comfort levels, varying based on different forecasting horizons, showcasing the balance between energy efficiency and occupant comfort.

Funding Amount

PKR 14.493 Millions

Principal Investigator​

Dr. Muhammad Sajid

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Industrial Partner

Artificial Intelligence as a Pathway to Reduce Industrial Downtime Cost through Hybrid Predictive Maintenance

Startup Name: ADVICE

ADVICE harnesses AI for predictive maintenance in industries, aiming to reduce downtime and equipment failures by predicting maintenance needs. Its output, a predictive maintenance model, enhances efficiency and productivity, aligning with the burgeoning global market for such systems. Successfully implemented in Pakistan, it promises technological advancements, economic growth, and reduced engineering costs for local industries.

Funding Amount

PKR 13.156 Millions

Principal Investigator​

Dr. Majida Kazmi

Link to More Details

Industrial Partner