Analytics and Artificial Intelligence

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Elevate Your Business with Cutting-Edge Analytics and Artificial Intelligence (AI) Solutions from Gislen Software

At Gislen Software, we understand that advanced analytics and Artificial Intelligence are no longer “nice-to-have” – they’re essential drivers of business growth and transformation. Used strategically, they can give you a decisive edge in a fast-changing digital world.

Whether you’re looking to refine your current data strategy or build an intelligent framework from the ground up, our team of experienced data scientists and AI specialists can help. From planning and customising to deploying and managing your solutions, we ensure every step is aligned with your business goals.

Tailored Solutions for Optimal Results

We don’t believe in one-size-fits-all. Our focus is on adapting proven technologies to solve your specific business challenges. By helping you use data more effectively and automate the right processes, we empower you to make better decisions and work more efficiently.

Whether you need a custom-built AI model, predictive analytics, or advanced features integrated into existing systems, our solutions are designed to meet your needs today – and scale easily as your business evolves.

Comprehensive Analytics and Artificial Intelligence Customised for Your Needs

Selecting the right tools is only the start. Implementing advanced analytics and AI requires careful management to ensure everything works seamlessly. We provide full end-to-end support, including:

  • On-time delivery of Big Data projects – avoiding costly delays and ensuring your plans stay on track.
  • Effective budget management – so you get the best insights without overspending.
  • Strategic alignment – making sure your AI and analytics initiatives directly support your wider business objectives.
  • Smooth integration – connecting new Big Data solutions with your existing systems for improved decision-making and operational efficiency.

Leading Innovation

If your goal is to uncover new opportunities or sharpen your operational intelligence, Gislen Software is ready to be your innovation partner. We might not be building self-driving cars (yet!), but we can certainly help you navigate your digital transformation journey.

Our process begins with a deep dive into your needs, followed by the careful design and implementation of tailored solutions. The aim is always the same – to ensure your journey is both successful and sustainable.

Whether you’re just starting out with Big Data or looking to take your analytics and AI capabilities to the next level, we can provide the tools, strategies, and expertise to make it happen. We’re passionate about creating systems that don’t just generate insights, but actively drive efficiency, control, and competitive advantage.

Let us work with you to turn your ideas into practical, high-performing solutions built on AI-ready frameworks and technologies.

Different Technologies and Platforms for Analytics and Artificial Intelligence

There’s no shortage of tools to enhance your analytics and AI capabilities – the challenge is knowing which to choose and how to use them effectively. The right platform depends on your business goals, the maturity of your data operations, and the level of in-house expertise available.

Below are some of the key categories and platforms businesses often consider:

Commercial General AI platforms

Key Technologies and Platforms for Businesses wanting to use Artificial Intelligence and Analytics:

  • IBM Watson:  IBM Watson is a platform including loads of AI tools. It is known for its natural language processing and machine learning capabilities. It is a good option for businesses that want to add advanced AI features to their operations.
  • Google Cloud AI and Analytics: Google Cloud includes a range of tools for Artificial Intelligence and Analytics. These include data storage, data processing, machine learning, and predictive analytics. The platform is designed to be scalable and easy to use, making it a good choice for businesses at any stage of their AI journey.
  • Microsoft Azure AI: Azure offers various Artificial Intelligence services, including machine learning, cognitive services, computer vision, and knowledge mining. An added advantage is its excellent integrations with existing Microsoft products and services, making it an easy choice for businesses already using the Microsoft ecosystem.
  • Amazon Web Services (AWS) Analytics and AI: AWS provides a number of Artificial Intelligence services, from data lakes and real-time analytics to machine learning and AI services. Its scalability and flexibility suit businesses looking to leverage cloud-based solutions.
  • Tableau: For businesses focused on data visualisation and business intelligence, Tableau offers powerful tools to transform data into actionable insights through interactive dashboards and reports.
  • Microsoft Power BI is a business analytics tool that helps you turn data into clear, interactive visuals. It connects to a wide range of data sources, allowing you to build dashboards and reports that support informed decision-making. With its easy-to-use interface, Power BI is well-suited for individuals without a technical background, while still providing the depth required for advanced analysis.
Open Source Libraries and Frameworks

Many open source tools, frameworks and languages are comprehensive and continuously evolving.

  • TensorFlow: Developed by Google, TensorFlow is a comprehensive, open-source machine learning framework that helps in the development of complex neural networks, supporting both research and production.
  • Apache Hadoop is a framework for processing large data sets across clusters of computers using simple programming models. It’s built to scale from a single server to thousands of machines, each contributing its own storage and computing power.
  • Scikit-learn: Built on NumPy, SciPy, and matplotlib, this Python module is known for its simplicity and accessibility. It offers a range of supervised and unsupervised learning algorithms via a consistent interface.
  • Apache Spark is an open-source, distributed computing system that lets you program entire clusters with built-in data parallelism and fault tolerance. It’s widely recognised for its speed and its ability to manage large-scale data processing with ease..
  • Theano: Montreal Institute for Learning Algorithms (MILA) at the Université de Montréal. Theano has been widely used in deep learning for its ability to leverage the power of GPUs, significantly speeding up computations. Theano is an open-source Python library for efficient mathematical computations, particularly multi-dimensional arrays. It excels in deep learning applications by leveraging GPU acceleration for faster processing.
  • Keras: An open-source neural network library in Python developed to give a fast experimentation environment using deep neural networks. It is configurable and extends TensorFlow and Theano.
  • PyTorch: Developed by Facebook’s AI Research lab, PyTorch is an open-source machine learning library built on the Torch framework. It’s widely used for tasks like natural language processing and other AI applications.
  • R: R is a programming language and free software environment for statistical computing and graphics, developed and supported by the R Foundation for Statistical Computing. Statisticians and data analysts widely use it for data modelling, visualisation, and research.
  • Elasticsearch is a distributed, RESTful search and analytics engine that addresses a wide range of use cases. It’s known for its powerful full-text search, scalability, and real-time analytics.
Generative Pre-trained Transformers (GPT)

The newest and most talked-about type of AI is now readily available. OpenAI’s innovative GPT technology is also now available over an API. Advanced support bots can be built by training a database with material about your company and products.

  • OpenaiAI’s GPT: Perhaps the most well-known in this category, OpenAI offers API access to GPT, helping developers use its advanced text generation and understanding capabilities for various applications, including chatbots, content generation, and complex data analysis tasks. The versatility of the different GPT and large-scale models offers nuanced and contextually relevant text generation, making it a popular choice for businesses seeking to enhance their offerings with cutting-edge AI.
  • AI21 Labs’ Jurassic-1: AI21 Labs offers Jurassic-1, a large language model that rivals GPT regarding capabilities and scale. Their API allows developers to integrate sophisticated natural language processing features into various applications to improve user engagement and automate content-related tasks.
  • Hugging Face’s Inference API: Hugging Face provides an Inference API that gives developers access to many pre-trained models, including variants of GPT and other transformer-based models. This API facilitates easy integration of natural language understanding and generation into applications, enabling several use cases from sentiment analysis to text completion and translation.
  • Cohere’s Platform: Cohere offers a platform that allows businesses to harness the power of large language models for text generation, classification, and summarisation. TWith Cohere’s API, developers can get access to their capabilities and use them in their own applications, in order to enhance user experiences with natural language capabilities.
  • IBM Watson: IBM Watson provides a suite of services, including natural language processing capabilities that can be integrated via API. While not exclusively based on GPT, Watson’s services include features like language understanding, conversation, and text generation, which leverage similar underlying technologies.
Open Source technologies for Generative Pre-trained Transformers (GPT)

Open-source Artificial Intelligence technologies related to GPT and natural language processing have become increasingly important in the AI community.

  • GPT-Neo and GPT-NeoX: Developed by EleutherAI, GPT-Neo and GPT-NeoX are open-source alternatives to OpenAI’s GPT models. GPT-Neo aims to replicate the capabilities of GPT-3 through distributed volunteer computing, while GPT-NeoX is a further development that focuses on scaling up the architecture and training process.
  • Hugging Face’s Transformers: This library offers several pre-trained models for natural language understanding (NLU) and natural language generation (NLG), including GPT and its variants. It offers a great interface for working with these models, and it is well known for clear documentation and very strong community support.
  • OpenNMT: An open-source ecosystem for neural machine translation and neural sequence learning. Started as a collaborative project between Harvard NLP and SYSTRAN, it provides implementations in TensorFlow and PyTorch, supporting GPT-like models for translation and language tasks.
  • Fairseq: Developed by Facebook AI Research (FAIR), Fairseq is a sequence-to-sequence learning toolkit that allows researchers and developers to train custom models for translation, summarisation, language modelling, and other text generation tasks. It supports various models, including transformer models similar to GPT.
  • PaddleNLP: Developed by Baidu, PaddleNLP is part of the PaddlePaddle deep learning platform. It provides a wide range of pre-trained models, including Generative Pre-trained Transformer language models, for various Natural Language Processing tasks. PaddleNLP aims to make it easier for developers to apply these models in different applications.
  • Tensor2Tensor: Created by Google Brain, Tensor2Tensor provides a library of deep learning models and datasets designed to make it easier to train and deploy machine learning models. While initially focused on translation, it now includes a variety of models, including those related to GPT, for different tasks.
  • Marian NMT: An efficient and self-contained Neural Machine Translation framework emphasising speed and efficiency. While mostly focused on translation, its architecture supports custom models and training approaches, including transformer-based models like GPT.
  • Whisper: Developed by OpenAI, Whisper is an open-source deep learning model for automatic speech recognition (ASR). It excels at transcribing spoken language into text. It can handle various languages and audio conditions. This makes it a flexible tool for applications requiring speech-to-text capabilities. It can run on relatively modest hardware, including regular laptops.

These open-source tools give a strong starting point for building and experimenting with advanced Natural Language Processing (NLP) models, systems that work directly with human languages, such as those built on the GPT architecture. They enable researchers, developers, and organisations to explore new ideas and apply the latest NLP methods in real-world applications and services.

Strategic Framework for Analytics and Artificial Intelligence Solutions

Our approach to developing AI solutions is built on collaboration and consultation. We begin by thoroughly understanding your business – its unique characteristics, the challenges you face, and your goals for leveraging data and Artificial Intelligence.

For clients with existing systems, we conduct a careful review of how those setups integrate into your day-to-day operations. This helps us spot opportunities for improvement and uncover any technical or strategic obstacles that might limit performance. With these insights, we design tailored strategies that align closely with your business objectives, in particular with data-driven decision-making. The goal is always the same – to ensure that the AI and analytics solutions we create are a perfect fit for your needs.

Whether it’s creating something new or improving what you already have, we work together with you throughout the process. From the first idea to full rollout, we focus on keeping things clear, practical, and collaborative – so that your move towards becoming a data-driven organisation is both straightforward and effective.

Analytics and AI Strategy

  • Personalised Data Analysis: We examine your business’s unique environment and develop bespoke solutions tailored to meet your strategic objectives.
  • Interactive Prototyping: Together with your team, we develop prototypes that reduce risks and help to showcase the potential of your data-driven decision-making processes.
  • Scalable Infrastructure: We architect adaptable, high-performance platforms that scale with your business. Whether you’re coping with sudden traffic surges or steadily increasing data volumes, our cloud-native solutions spin up additional capacity in seconds. Automated scaling rules, real-time monitoring and resilient fail-over mechanisms mean you’ll never be caught out by unexpected demand, your systems keep pace with you.
  • Detailed Technical Design: We immerse ourselves in your objectives, drawing up tailored blueprints that bridge the gap between ambition and execution. From interactive prototypes to fully fleshed-out architecture diagrams, every element is chosen to maximise usability, maintainability and insight. By blending best-practice engineering with iterative feedback sessions, we deliver solutions that seamlessly integrate into your existing environment, providing precise and actionable data exactly when you need it.
  • Quality Assurance: Our testers employ both manual and automated testing to ensure that implementations meet and exceed objectives and quality standards, providing accurate and actionable insights.

Analytics and AI Integration

  • Business and Analytics in Harmony: We tailor our solutions to your objectives, empowering you to make smarter decisions and streamline operations..
  • Custom Technical Solutions: Our solutions are specifically designed to address the unique challenges of your organisation, ensure optimal performance, and seamlessly integrate with existing systems.
  • Reliable Support: Our support strategies are designed to ensure the continuous and effective operation of your systems.
  • Stakeholder Collaboration: We communicate clearly with all stakeholders to ensure that the solutions are fully integrated with business objectives.
  • Comprehensive Data Integration: We bring together data from every corner of your organisation including CRM, ERP, IoT feeds, social channels and beyond, into a single, coherent platform. Our staff develop robust pipelines and custom connectors, ensuring that information flows securely and accurately through your systems. By harmonising different sources in real-time, we provide you with a 360° view of your operations and customers. That unified perspective drives better analysis, uncovers hidden correlations and empowers your teams to act on trusted insights.

Management of Analytics and Artificial Intelligence

  • Adaptive Development: We utilise agile methodologies to ensure that we remain responsive to your evolving needs, ensuring that as your business grows, our systems grow in tandem with your company.
  • Compliance with Data Standards: We build every solution with privacy and security at its core, fully aligning with GDPR, NIS2, DORA and ISO 27000 requirements. From encrypted data stores and rigorous access controls to comprehensive audit trails and regular third-party assessments, you can trust our platforms to meet, and often exceed, the strictest international regulations.
  • Proactive Maintenance: Even after your system goes live, we can help you. We can monitor everything with routine checks and regular updates, ensuring your platform remains stable and secure.

Our Data Scientists and AI Specialists understand how to strike the right balance between extracting valuable insights from analytics and unlocking new opportunities with artificial intelligence. Based in Chennai, India, with subsidiaries in Europe, we focus on serving our UK and Swedish clients with the same passion for excellence that has guided us for years. Over time, we’ve helped organisations navigate complex digital and AI-driven transformations – from early strategy discussions to successful, real-world implementation.

We’re not just here to help you choose tools and models. We’re here to guide you through the entire process of setting up and running complex systems, ensuring they deliver genuine value to your business. Our support includes:

  • Custom Model Development and Integration – Building AI models tailored to your specific needs and integrating them seamlessly with your existing systems to improve insights and automate processes.
  • Smart Budget Management – Keeping projects on track financially, so you get the insights you need without unexpected costs.
  • Strategic Alignment – Making sure every AI and analytics initiative supports your wider business goals and delivers measurable impact.
  • Seamless Big Data Integration – Connecting new solutions with your current infrastructure for smooth adoption and better decision-making across the board.

At Gislen Software, we treat our clients as true partners in innovation. By working closely together, we create custom solutions that not only support digital transformation but also drive long-term business success.

Contact us to discuss how we can help you