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At Red Buffer, we pride ourselves on our extensive expertise in AI, spanning various sectors such as fintech, legal tech, insurtech, and health tech. Our dedicated work has not only garnered the trust of our clients but has also empowered our clients to secure over $60M in funding and achieve 3 successful exits. Dive into our case studies to witness the transformative impact of our solutions.
World leader in marine diamond exploration and mining technology, faced the challenge of ensuring the safety of their crew members and equipment on diamond mining ships. To address this challenge, the company embarked on a project to develop an AI-based safety system that could monitor the working environment and raise alarms if certain rules were violated.
Download PDFThe goal of this project was to develop a mobile app that could identify baseball cards from a database of cards using machine learning techniques. The app was designed to take a photograph of a baseball card and identify the card by matching it against a database of baseball cards. Once the matching was complete, all the metadata of the baseball card was returned to the user.
Download PDFA system that uses hourly footfall prediction models based on a customized version of the Facebook Prophet and LSTMs to accurately predict the footfall in trampoline parks. The system uses inputs from historic footfall for each location associated with the chain as well as third-party information such as weather, movie release dates, and local holiday schedules to optimize personnel costs and enhance profitability.
Download PDFThe COVID-19 pandemic has affected the entire world, and Pakistan has been no exception. To effectively manage the pandemic, The Organisation in Pakistan embarked on a project to develop a machine learning (ML) model that could forecast COVID-19 cases based on historic data and other relevant factors.
Download PDFIn the world of sports, analytics plays a crucial role in understanding player strengths and weaknesses, team strategies, and game outcomes. However, gathering and understanding player stats for college sports or domestic sports at a large scale is a difficult task.
Download PDFAI Photos is a groundbreaking mobile application that leverages a sophisticated AI model to generate personalized avatars in over 65 styles tailored for individuals, couples, and diverse gender representations. Recognizing the significance of profile pictures as the first impression in both social media and professional platforms, the app utilizes advanced AI technology to create 150+ unique avatars from 15 close-up shots featuring different clothes, expressions, and backgrounds.
Download PDFA startup that provides an AI-powered cloud management platform for enterprises. The platform automates the process of tagging cloud resources, such as virtual machines, databases, and storage, to help enterprises manage their cloud infrastructure efficiently.
Download PDFThis Company’s NOC Team in Pakistan was tasked with deploying a self-service BI/reporting solution for Telenor Pakistan's NOC. The goal was to provide up to 40 dashboards with drill-down functionality, representing different views of network KPIs, trends, and thresholds. The dashboards would aggregate data from various systems, including ITSM, IBM Netcool, WFM, and other systems in Company’s NOC IS/IT environment. The solution would also include some static data from Excel sheets and be viewable on a variety of devices.
Download PDFLeading technology consulting company that specializes in artificial intelligence, machine learning, and natural language processing. With the increasing demand for skilled professionals in the technology sector, They wanted to automate their recruitment process and leverage cutting-edge NLP techniques to identify and approach potential candidates from publicly available data sources.
Download PDFAn ecommerce platform that specializes in selling electronic and photonics components online. The company was seeking ways to streamline their operations and enhance the customer experience using artificial intelligence and machine learning.
Download PDFThe project aims to automate the property tax collection process by using computer vision and machine learning techniques. An instance segmentation model (Detectron 2) is used to identify different types of properties.
Download PDFIn the world of sports, fan engagement has become a crucial aspect of the industry. With the rise of social media, fans expect to be updated with the latest news and highlights of their favorite teams and athletes. However, traditional social media platforms lack context, resulting in lower engagement rates.
Download PDFThe goal of this project was to develop an anti-money laundering system that could flag suspicious transactions based on peer group analysis. The system monitored historical data and applied rules against peer groups to identify potential money laundering activities. The stack used for this project included Python, Scikit-Learn, and SQL.
Download PDFA Machine Learning system that could predict the flavour of any food item and make recommendations for food and beverage pairings. The goal was to digitize and predict flavour using the flavour profiles of ingredients, recipes, and titles.
Download PDFLeading technology consulting company that specializes in artificial intelligence, machine learning, and natural language processing. With the increasing demand for skilled professionals in the technology sector, They wanted to automate their recruitment process and leverage cutting-edge NLP techniques to identify and approach potential candidates from publicly available data sources.
Download PDFContract analysis involves the review and extraction of critical information from thousands of unique documents, a process that is prone to manual errors and is incredibly time-consuming. The analysis of contracts is an essential process for businesses and organizations, but it is often a time-consuming and error-prone task when performed manually. The process of manually analyzing contracts involves a significant amount of time and effort to extract relevant information accurately and efficiently.
Download PDFThe goal of this project was to develop a mobile app that could identify baseball cards from a database of cards using machine learning techniques. The app was designed to take a photograph of a baseball card and identify the card by matching it against a database of baseball cards. Once the matching was complete, all the metadata of the baseball card was returned to the user.
Download PDFThe goal of this project was to build an interactive dashboard for CO2 AI product, which helps companies measure, track, and reduce their environmental footprints at scale. The dashboard was designed to calculate Net Zero Pathways to achieve Net Zero Emissions (NZE) and provide real-time updates and results. The technology stack used in the project included Python, Pandas, Dash, Plotly, AWS S3, and AWS EC2.
Download PDFThis Company’s NOC Team in Pakistan was tasked with deploying a self-service BI/reporting solution for Telenor Pakistan's NOC. The goal was to provide up to 40 dashboards with drill-down functionality, representing different views of network KPIs, trends, and thresholds. The dashboards would aggregate data from various systems, including ITSM, IBM Netcool, WFM, and other systems in Company’s NOC IS/IT environment. The solution would also include some static data from Excel sheets and be viewable on a variety of devices.
Download PDFA Machine Learning system that could predict the flavour of any food item and make recommendations for food and beverage pairings. The goal was to digitize and predict flavour using the flavour profiles of ingredients, recipes, and titles.
Download PDFAn innovative market prediction system that leverages Thomson Reuters MarketPsych Indices (TRMI) to accurately predict daily movements of the S&P 500. The project involves a team of experts in finance, artificial intelligence, and machine learning who have used vast amounts of historical market data to develop a machine learning model capable of predicting future market movements
Download PDFAn ecommerce platform that specializes in selling electronic and photonics components online. The company was seeking ways to streamline their operations and enhance the customer experience using artificial intelligence and machine learning.
Download PDFA comprehensive system that leverages machine learning models to analyze medical records and provide necessary insights to assess insurance claims and malpractice lawsuits. The system includes a dashboard that displays all the relevant information and predictions. The system architecture is built using AWS, which takes input from flat files stored in S3 and runs Lambda functions to finally display the analysis on QuickSight.
Download PDFSurgical procedures require precise instruments and consumables that are essential for successful outcomes. However, matching preference cards with inventory data is a time-consuming process that can lead to wastage of instruments and consumables, as well as the occurrence of "never events" - surgical errors that are preventable.
Download PDFA system that leverages computer vision and deep learning to automate the creation of financeable proposals for residential solar installations. The system analyzes satellite imagery of residential rooftops, constructs 3D models of the rooftops and the trees and other obstacles around the rooftop, and uses energy usage information to create a solar installation design in an automated manner.
Download PDFThe goal of this project was to develop an anti-money laundering system that could flag suspicious transactions based on peer group analysis. The system monitored historical data and applied rules against peer groups to identify potential money laundering activities. The stack used for this project included Python, Scikit-Learn, and SQL.
Download PDFThe goal of this project was to build an interactive dashboard for CO2 AI product, which helps companies measure, track, and reduce their environmental footprints at scale. The dashboard was designed to calculate Net Zero Pathways to achieve Net Zero Emissions (NZE) and provide real-time updates and results. The technology stack used in the project included Python, Pandas, Dash, Plotly, AWS S3, and AWS EC2.
Download PDFThis Company’s NOC Team in Pakistan was tasked with deploying a self-service BI/reporting solution for Telenor Pakistan's NOC. The goal was to provide up to 40 dashboards with drill-down functionality, representing different views of network KPIs, trends, and thresholds. The dashboards would aggregate data from various systems, including ITSM, IBM Netcool, WFM, and other systems in Company’s NOC IS/IT environment. The solution would also include some static data from Excel sheets and be viewable on a variety of devices.
Download PDFA system that uses hourly footfall prediction models based on a customized version of the Facebook Prophet and LSTMs to accurately predict the footfall in trampoline parks. The system uses inputs from historic footfall for each location associated with the chain as well as third-party information such as weather, movie release dates, and local holiday schedules to optimize personnel costs and enhance profitability.
Download PDFThe COVID-19 pandemic has affected the entire world, and Pakistan has been no exception. To effectively manage the pandemic, The Organisation in Pakistan embarked on a project to develop a machine learning (ML) model that could forecast COVID-19 cases based on historic data and other relevant factors.
Download PDFAn innovative market prediction system that leverages Thomson Reuters MarketPsych Indices (TRMI) to accurately predict daily movements of the S&P 500. The project involves a team of experts in finance, artificial intelligence, and machine learning who have used vast amounts of historical market data to develop a machine learning model capable of predicting future market movements
Download PDFThe project aims to automate the property tax collection process by using computer vision and machine learning techniques. An instance segmentation model (Detectron 2) is used to identify different types of properties.
Download PDFIn the world of sports, analytics plays a crucial role in understanding player strengths and weaknesses, team strategies, and game outcomes. However, gathering and understanding player stats for college sports or domestic sports at a large scale is a difficult task.
Download PDFA leading company in the game development industry that specializes in creating high-quality textures for games and films. They wanted to find a solution to synthesize high-resolution textures from low-resolution textures to reduce the time and effort required to create textures manually.
Download PDFCompany’s Transport Automation is a desktop application designed to automate network transport data and provide an efficient way to manage topology, calculate planned network capacity, and offer suggestions based on data for microwave network sites in Pakistan. The goal of the project was to create an installable desktop application that would streamline data management and enable faster decision-making based on the data.
Download PDFContract analysis involves the review and extraction of critical information from thousands of unique documents, a process that is prone to manual errors and is incredibly time-consuming. The analysis of contracts is an essential process for businesses and organizations, but it is often a time-consuming and error-prone task when performed manually. The process of manually analyzing contracts involves a significant amount of time and effort to extract relevant information accurately and efficiently.
Download PDFCompany’s RPA was tasked with automating the process of software upgrades of radio link towers across Pakistan to boost network efficiency. The project involved multiple processes such as navigating the user interface, updating configurations, and accessing the servers.
Download PDFLeading technology consulting company that specializes in artificial intelligence, machine learning, and natural language processing. With the increasing demand for skilled professionals in the technology sector, They wanted to automate their recruitment process and leverage cutting-edge NLP techniques to identify and approach potential candidates from publicly available data sources.
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With over 7 years of experience in the field of Machine Learning and an impressive track record of completed projects, Syed Nauyan Rashid is a true powerhouse in the world of AI. Specializing in Computer Vision, Deep Learning, and MLOps tools, he has successfully built scalable AI pipelines for a diverse range of clients, including international corporations, government agencies, and startups.
Currently pursuing a Ph.D. focused on Giga-Pixel Biomedical Imaging and Cancer Diagnosis, Nauyan is pushing the boundaries of what is possible in the field of AI. As a Doctoral Researcher at NUST-SEECS, Nauyan has made significant contributions to the field of cellular community detection through the development of advanced segmentation pipelines. His strong background in deep learning, computer vision, and data science allows him to not only develop cutting-edge algorithms but also apply them to real-world problems.
In his role as the Head of AI at Red Buffer, Nauyan has been demonstrating his ability to orchestrate complex training pipelines, harnessing the power of multiple GPUs to achieve optimal performance. He has also developed innovative computer vision-based safety applications, ensuring the well-being of individuals using state-of-the-art technology. Whenever Nauyan is not fueling his passion for AI by putting hours behind a computer screen, he can be found enjoying long road trips across the country, camping, and watching IMDb’s top-rated movies.
Shahqaan Qasim is a Partner and VP – Engineering at Red Buffer. He has been associated with Red Buffer across two stints, the first beginning in 2013. Shahqaan was instrumental in working closely with our customer base globally and has helped setup multi-million dollar teams through successful project delivery coupled with resource augmentation. In 2015, Shahqaan helped TownSquared build their engineering team and launch their networking platform.
Shahqaan also was a CTO at OneByte where he worked closely with global customers including a premium healthtech provider in USA.
Shahqaan completed his graduation in Electrical Engineering and Computer Sciences from NUST. He is his best self when he is found ripping the chords on his guitar. He regularly follows Hamilton and Formula1 in his spare time.
Aisha Humayun is the HR Manager at Red Buffer Inc. Her expertise in multiple fields include HR, Finance, and Marketing. She is a seasoned professional with almost half a decade of experience and a knack for finding hidden gems to unleash onto the world. One of her key responsibilities at Red Buffer is to help build a team that takes challenges head-on and always remains true to our values. A team of world-class problem solvers that are not afraid to try new things and love what they do.
Aisha shares a passion for working with start-ups and new ventures in a variety of industries with Tech being a personal favorite. She is a passionate advocate of employee engagement and thrives on creating an inclusive environment where employees feel valued, heard, and supported. When it comes to workplace culture, she believes that positivity is contagious and tries everyday to exude the same energy onto the team, an everyday hero.
With a bachelor’s degree from Bahria University, she spends her spare time caring and loving animals helping them find their fur-ever homes. Her motto is “Saving the world one stray at a time!”.
With 9+ years of experience delivering successful projects with local and international software companies, Farhan is the key to putting our team at Red Buffer together as he leads cross-platform development teams and front-end developers.
Farhan keeps quality and innovation at prime as his team works on building enterprise-grade, robust and scalable architectures. Considered a mentor at RB, he is known for being able to get the best qualities from resources allowing them to shine and put in that bit extra that brings out the best at Red Buffer. He also leads technical client communication and coordination across multiple projects.
Amongst other organisations, most recently he led global teams at Aula – an EdTech platform used by thousands in the UK helping them build their scalable, multi-tenant, and fully automated software solutions.
He is a gaming freak, loves to read philosophy and ponder over his next innovation challenge in his spare time.
Raziah has a knack of being challenged having worked with startups and teams globally with a specialization in HR and Operations.
She has helped many startups scale helping them build their Operations and HR processes from inception as well as teaming to build their social media presence, and establishing best HR practices that hone talent – keeping “Talent Acquisition and Retention” a prime part of what she does.
Raaziah leads the Operations at Red Buffer and is a firm believer of setting up processes and maintaining single sources of truth across the entire organization – helping communication and agility.
She graduated from Punjab University with a specialized degree in Human Resources. She is passionate about nature, loves to spend time with her two fur babies and home/interior decor.
Tayyab Tariq co-founded RedBuffer Inc. in 2013. He is an angel investor and serial entrepreneur with over a decade of experience working at the intersection of technology and product development. During this period, he has helped several start-ups globally build their Products based on AI/ML and Data Science with a focus on legal tech, satellite imagery analysis and fintech.
In 2017, Tayyab also co-founded CreditPer – an AI-driven digital lending company that provides asset-backed loans to its customers with a quick turnaround time and fair prices.
Tayyab graduated with an MS (CS) from Stanford University focusing on Artificial Intelligence. He is a Fullbright Scholar (2011) and a Gold Medalist from FAST National University.
Miqdad Ali Nasser is currently engaged with Red Buffer Inc. as its General Manager/Chief Operating Officer where his responsibilities include business development, implementation of business strategy and managing operations for Global Markets.
Before joining Red Buffer, he was engaged in various executive roles globally with IBM, Convo and Softlogic amongst others. As an entrepreneur, he also worked on setting up Technology Services companies with the Pathfinder Group. During this period, he also held an honorary position at Pakistan’s 1st FinTech to hold a combined PSO/PSP and TPSP license to offer an interoperable USSD-based financial platform for branchless banking players.
Miqdad completed his MBA from Warwick Business School and has undergone training & certifications in Strategic Management, Finance, Operations and Communications from Boston University and London Business School. He is enthusiastically involved in activities such as football, hiking and swimming.