Trusted Software Engineering Company
Information Technology is in our DNA. We have been in the industry for many years and have a proven track record of delivering high-quality software/hardware solutions to our clients. We are a team of highly skilled and experienced professionals who are passionate about what they do. Our goal is to provide you with the best possible service at an affordable price. Below are some of the services we offer we can help you with basically anything but these are our main services below so feel free to contact us for more information.
We can develop APIs to help you integrate your systems for any purpose. We specialize in REST APIs and GraphQL APIs.
Sofware Engineering Services
Building software solutions for your business needs. Cross platform mobile apps, web apps, desktop apps, and more.
We can help you with your technical needs for example choosing the right technology for your business or advice on how to improve your current systems.
Using DevOps we can help you host your website or web app on the cloud for an affordable price.
Domain Registration, CDN and Firewall Management
We can help you register your domain, manage your CDN and Firewall.
Microsoft 365 tenant setup and management
Have an organization and need help setting up your Microsoft 365 tenant? We can help you with that getting all your employees/users setup and ready to go.
Script Automation and Integration
We can help you automate your scripts and integrate them with your systems using the GitHub Actions platform.
GitHub Repository Setup and Management
Have source code stuck on your local machine? We can help you setup your GitHub repository and manage it for you.
Adsense and Google Analytics Setup and Management
Have a website with high traffic and want to monetize it? We can help you setup your Adsense and Google Analytics accounts and manage them for you.
AI , Data Science and Machine Learning
Have a lot of data and want to make sense of it? We can help you with that. We can take your existing data and help you make sense of it using machine learning and data science. With artificial intelligence we can help you automate your business processes.
Robotics and IoT
Basic robotics and IoT solutions for your business needs.
Restoring old computers and laptops
Have an old computer or laptop that you want to restore? Instead of buying new ones. We have methods of bypassing Windows 11 TPM 2.0 requirement and installing Windows 11 on old computers and laptops. Upgrading the RAM and SSD to make them faster and more reliable.
Tutions for Computer Science
Want to learn how we make all these things possible? We can teach you how to code and make your own software solutions if you need help for your school or college projects. We can help you with that too.
Thesis Paper / Article Writing
We can guide you in writing your thesis paper or article for your research. Using LaTeX we can help/prepare you write your thesis paper or article in a professional manner.
We can help you setup reverse proxies for your website or web app to make it more secure and reliable also to help you bypass the firewall restrictions in your country.
Publishing of Packages to platforms like NPM and PyPi
We can help you publish your packages to platforms like NPM and PyPi or any other platform that you want to publish your packages to.
Just let us consult you
We will get back to you as soon as possible. We will discuss your needs and compile a list of requirements and then we will start working on your project if you are happy with the requirements and the price.
- Quick and Easy
- Free Zoom/Teams Consultation
- International Company
Think about your problem carefully and write it down. What do you want to achieve? What is the problem you are facing? What is the solution you are looking for and budget you have in mind?
Contact Us & Discuss Your Problem
You can write an email to us @ email@example.com or you can fill the contact form on our website and we will get back to you as soon as possible. We may respond to you with a few questions to better understand your problem and requirements or host a free Zoom/Teams/Discord call with you. If you want priority support just message me on WhatsApp @ +27 60 522 4922.
We Will Send You a Quote
Once we have all the information we need, we will send you a quote. If you are happy with the quote, we will start working on your project.
Once accepted we will start working on your project
Once accepted we will start working on your project. You may be required to pay a deposit depending on the project.
We will work on your projects and send you updates regularly
We will work on your projects and send you updates regularly. You can also contact us anytime if you have any questions or concerns.
Completion of the project
We work on the Waterfall model. Meaning as we develop you can see the progress and give us feedback. Once the project is completed we will send you the final product and you can pay the remaining amount.
Why Choose us for your business.
- We complete projects on time and on budget.
- The customer is always right.
- Best support in the industry. We treat you like family.
- We are a small company so we can give you the attention you deserve.
- Our mission statement is to help you achieve your goals and passions. We care about your success.
Bandwidth Sent Out Monthly
Country & Regions
Monthly Active Users
Some of our proud projects in the public.
Ashlin Darius Govindasamy
University of South Africa 2022-2024
BSc Computer Science and Mathematics
Ashlin Darius Govindasamy is a multifaceted tech innovator, research scholar, and academic based in Somerset West, Western Cape, South Africa. With a profound passion for exploring the frontiers of technology and mathematics, he has established himself as a leading expert in AI, data science, machine learning, and full-stack development. Education and Academic Excellence: Having laid a strong academic foundation, Ashlin pursued studies in Mathematics and Computer Science at the esteemed University of South Africa (Universiteit van Suid-Afrika). His academic journey paved the way for a remarkable career where he consistently seeks to expand his knowledge and skills. Cutting-Edge Research and Contributions: As a prolific researcher, Ashlin has published numerous groundbreaking papers in esteemed journals and academic platforms. His works span a wide array of subjects, including machine learning-based name matching, sentiment analysis, engineering reverse proxies for streaming services, and dynamic sitemaps in API websites. Notably, he has explored the world of blockchain technology, delving into the realm of non-fungible tokens (NFTs) and their applications in the art and entertainment industry. Philanthropic Tech Initiatives: Beyond his academic pursuits, Ashlin's passion for technology extends to philanthropy. He is dedicated to making the benefits of the digital world accessible to all. Notably, he has created a revolutionary anime streaming website that brings Japanese culture and art to over 150 countries, promoting cultural exchange and appreciation on a global scale. Moreover, he remains committed to the ethical development of AI and responsible tech practices, ensuring the positive impact of his creations on society. Financial Acumen and Innovation: Ashlin's expertise also extends to the financial sector, where he has designed financial equations and tools that optimize operations and decision-making processes for various institutions. His contributions in this field have garnered recognition for their potential to revolutionize the financial industry. Academic Pursuits and Vision for the Future: Driven by an insatiable curiosity and an unwavering commitment to knowledge, Ashlin aspires to pursue a doctoral degree, furthering his exploration of complex challenges and cutting-edge technologies. He envisions a future where his research will contribute to the betterment of society, empower individuals, and bridge cultural divides through technology. Mentorship and Impact: As a mentor, Ashlin actively engages with aspiring technologists, nurturing their talents and guiding them on their academic and professional journeys. His dedication to mentorship reflects his belief in the transformative power of knowledge sharing and its potential to foster a vibrant and inclusive tech community. With a brilliant mind and a heart dedicated to making a positive impact, Ashlin Darius Govindasamy stands as a beacon of innovation, paving the way for a future where technology and humanity harmoniously intersect for the betterment of the world. His work continues to inspire and shape the landscape of technology, leaving an indelible mark on the global stage.
Upcoming Projects / Updates
Public Recruitment Application
System to allow public to upload their CV and match it accordingly to a Job Spec. This system will give you a score and judge you as an applicant.
Transaction Monitoring System
Component for Rahn Monitor that looks at generic Bank Statements and flags transactions that are suspicious/fails to reconcile.
Sales of API Keys for our APIs. This will be a marketplace where you can buy API Keys for our APIs. This will be a subscription based service.
Release of powerful GPT model by ADGSTUDIOS that uses internet and factual information. Contact us for more information. https://gpt.adgstudios.co.za
Adding Schedule of Shows
Risk Rating for Financial Products
Rahn Monitor component that looks at financial products and rates them based on their risk.
Perturbation Pure Mathematics Techniques in ETFs
The present paper delves into the application of Perturbation Pure Mathematics Techniques in the context of Exchange-Traded Funds (ETFs) to investigate sensitivity analysis and optimization strategies. ETFs have witnessed substantial growth in recent years, offering investors diversified exposure to various asset classes. However, as financial markets evolve and economic conditions fluctuate, it becomes imperative to gauge the impact of small changes in key parameters and develop robust optimization approaches. The research commences with a comprehensive examination of Perturbation Theory, an established mathematical tool utilized to analyze systems with small parameter variations. We explore its core principles and applicability in diverse scientific fields, aiming to adapt its concepts to the realm of ETFs. Subsequently, we focus on sensitivity analysis in ETFs, investigating how Perturbation Theory can shed light on the sensitivity of ETF returns to variations in factors such as interest rates, asset prices, and market volatilities. By conducting numerical simulations and real-world scenarios, we illustrate the effectiveness of Perturbation Techniques in quantifying risk and understanding ETF portfolio dynamics. Furthermore, this paper explores Perturbation Optimization Strategies in ETF portfolio management. We propose novel approaches to optimize ETF allocations in response to perturbations in market conditions, aiming to enhance portfolio performance and risk-adjusted returns. By combining Perturbation Theory with advanced mathematical optimization methods, we highlight the potential benefits of incorporating dynamic strategies in ETF management. Throughout the study, we address the challenges and limitations of Perturbation Pure Mathematics Techniques in ETFs, acknowledging the assumptions and data requirements. Additionally, we compare the performance of Perturbation-based approaches with traditional methods to provide a comprehensive evaluation. In conclusion, this paper demonstrates the significance of Perturbation Pure Mathematics Techniques in ETFs, offering insights into sensitivity analysis and innovative optimization strategies. By leveraging the power of Perturbation Theory, investors can make informed decisions, navigate uncertain financial landscapes, and optimize ETF portfolios in pursuit of higher returns and risk management. The research contributes to the evolving field of quantitative finance and provides valuable tools for practitioners seeking to maximize their ETF investment strategies.
Cauchy's Integral Formula for ETF Risk Management: A Comprehensive Analysis and Application
This paper explores the application of Cauchy's Integral Formula in the context of Exchange-Traded Funds (ETFs) risk management. ETFs have become popular investment vehicles, offering diversification and liquidity advantages to investors. However, with the increasing complexity of financial markets, efficient risk management strategies are crucial to safeguarding investors' portfolios. The research begins by introducing Cauchy's Integral Formula, a powerful tool in complex analysis that relates the values of a function within a region to its boundary. We examine its theoretical underpinnings and discuss its applications in various mathematical domains. We then delve into ETF risk management, focusing on Value at Risk (VaR), a widely used measure to quantify the downside risk of portfolios. By formulating ETF returns as a multivariate normal distribution, we adapt Cauchy's Integral Formula to calculate VaR for different confidence levels. Through Python implementations and numerical examples, we demonstrate the efficacy of this approach in real-world scenarios. Furthermore, this paper explores the impact of different risk factors on ETF portfolios and evaluates the effectiveness of Cauchy's Integral Formula in optimizing risk allocation. By considering factors such as market volatility, correlations, and asset liquidity, we analyze how the risk exposure of ETF portfolios can be tailored to investors' risk appetite. The research also addresses the limitations of using Cauchy's Integral Formula in ETF risk management, highlighting potential issues in modeling and the reliance on multivariate normality assumptions. Alternative methodologies are explored to offer a comprehensive evaluation of the method's practicality. In conclusion, this paper presents Cauchy's Integral Formula as a valuable tool in ETF risk management. By providing a novel perspective on risk calculations, this research contributes to the advancement of quantitative finance and provides valuable insights for investors seeking to optimize their ETF portfolios in a risk-aware manner.
GPT Analysis in Stock Trading
This paper explores the application of Generative Pre-trained Transformer (GPT) models in the domain of stock trading to investigate their potential in enhancing decision-making processes. GPT models, based on cutting-edge natural language processing techniques, have demonstrated remarkable capabilities in understanding and generating human-like text. In recent years, the financial industry has recognized the significance of leveraging artificial intelligence in investment strategies, and GPT models offer a promising avenue for extracting valuable insights from vast amounts of financial data. The research begins with an in-depth examination of GPT models, elucidating their architecture, pre-training process, and fine-tuning methodologies. By exploring the principles of transfer learning and attention mechanisms, we highlight the suitability of GPT models for analyzing unstructured financial data, including news articles, social media sentiment, and earnings reports. Subsequently, we delve into the application of GPT models in stock trading. Through empirical analysis, we showcase how GPT-generated sentiment analysis can be integrated into trading strategies, aiding investors in identifying potential market trends and sentiment-driven price movements. Moreover, we evaluate the performance of GPT-based models against traditional sentiment analysis approaches, providing insights into their effectiveness and robustness. Furthermore, this paper investigates GPT-based predictive models for forecasting stock prices and volatility. We demonstrate how GPT's language generation capabilities can be harnessed to generate time-series predictions, enabling traders to make informed decisions based on future price projections. Through backtesting and case studies, we evaluate the accuracy and reliability of GPT-generated predictions in comparison to conventional forecasting models. Throughout the study, we address the challenges and limitations of GPT Analysis in Stock Trading, including data biases, interpretability, and ethical considerations. Additionally, we explore potential strategies for mitigating risks and enhancing the transparency of GPT-driven trading systems. In conclusion, this paper showcases the potential of GPT Analysis in Stock Trading, offering new insights into sentiment analysis and predictive modeling for financial markets. By leveraging the power of natural language processing, investors can make more informed and data-driven decisions, potentially leading to improved trading performance and risk management. The research contributes to the burgeoning field of artificial intelligence in finance and offers valuable tools for market participants seeking to harness GPT's capabilities in the pursuit of profitable trading strategies.