Our AI and ML services seek to make sense of - and help our clients make sense of - where, when and how you can use the range of new tools that are everywhere. The combined experience among our experts leads us to excel in managing security, assessing data requirements, and tailoring models to specific client needs.
Because your models are only as good as the data they are built on, we seamlessly integrate with data pipelines and user interfaces, enabling effective communication and continued growth upon the existing foundation.
Ignite your business with the power of AI & ML
Your business doesn’t operate like anyone else’s, so your AI technology shouldn’t either. Combining our knowledge of technology with your knowledge of business needs, our experts develop optimal AI solutions for your business challenges.
The heart of our offering. As an AI software development company, our software experts can help integrate all manner of AI tools into new systems. Or even existing workflows and toolsets to allow them to take advantage of the power that they offer in a governed, accountable and incremental fashion.
We offer comprehensive workshops, training sessions, and analysis sessions that provide valuable insights regarding the latest advancements in AI. These sessions not only highlight the emerging risks you should be aware of, but also helping in finding practical and scalable solutions that align with your business objectives.
Comprehensive auditing, expert advice, and training to ensure the security and compliance of your data while seamlessly integrating with the latest AI tools.
Leveraging the power of AI is not a simple "plug and play". To be effective, all must be done while maintaining strict data protection measures and adhering to regulatory requirements. These additional complexities might be confusing and understandably harder to comprehend without expert help.
With our guidance, you can confidently embrace AI technologies, knowing that your data remains secure and compliant throughout the integration process.
In order to properly leverage an AI tool, you need to train it - and keep training it - as products develop and services change. We provide guidance, oversight and input into tool selection in order to do this, which creates a closed loop with our other services, allowing AI tools to serve your brand effectively.
Underpinning all the data and integrations, there is a real need for raw machine power to run self hosted models. The Virtual Forge team can provide expertise, guidance and advice on cost vs output in AWS , Azure, Google Cloud and more.
Artificial Intelligence and Machine Learning are a game-changer for businesses of all sizes and industries.
As an AI development company, our engineering mindset can help you provide clear and concise insights useful for everyone, from decision-makers seeking comprehensive business intelligence to individuals managing day-to-day operations.
By introducing machine learning and AI Workflows into your company, it is likely that the primary goal is to drive productivity improvements. We can help isolate where those productivity gains can most quickly be made and the steps that are needed to achieve them.
Automating a process at scale and augmenting it with a large language model allows an increase of transparency. You can look across multiple task completions in short order to see where processes are failing, as well as validating the success ratio of AI driven tasks. This can be in the form of basic metrics or sample based test beds.
Because AI and ML models are designed to scale and grow, each deployment and integration can be flexible. A tool can be rolled out to subsets of users, piloted, switched on and off and - by refining the model based on usage - tweaked to improve on an ongoing basis.
AI and ML algorithms can investigate historical data and patterns to enhance resource allocation within your business. Whether it's scheduling tasks, managing inventory, or allocating workforce, AI-powered systems can identify the most efficient ways to distribute resources, increasing productivity and reducing wastage.
The Virtual Forge is a trusted, global software development company with a solid history of delivering comprehensive solutions for global brands, equipping diverse organisations with the finest technology available.
Our team comprises seasoned professionals from diverse backgrounds, bringing a wealth of knowledge and expertise.
A team of creative and analytical minds leverage cutting-edge technologies and out-of-the-box thinking to deliver innovative software solutions. We’re always on the lookout for new technologies that can enhance our offer, helping our clients materialise their needs into new systems that streamline their business processes.
Embracing challenges is acknowledged by our experts as a common part of any custom software development and data journey. With unwavering persistence and confidence in our capabilities, we tackle every obstacle head-on. You can rely on us to persevere until we find effective solutions, ensuring successful outcomes for your project.
Quality is our core focus. Our team ensures high standards through rigorous quality assurance processes, thorough testing, code reviews, and continuous improvement.
Our track record is a testament to our reliability. Always by our client’s side, ensuring that nothing is left to chance. With our commitment to excellence, we pride ourselves on delivering dependable solutions that businesses can trust.
Similar to today’s world, a software development and data process is not an immutable force. It changes. It develops. It grows. At The Virtual Forge, we have an agile mindset that makes us capable of adapting to unforeseen circumstances.
We provide end-to-end coverage for every stage of your AI journey, beginning with validating ideas on the business front and developing a strategy based on those concepts.
Our approach ensures thorough preparation and optimisation of all data-related aspects, incorporating a data-driven mindset to address factors such as quality, quantity, engineering, and scalability.
Collaboratively learning of your business, pain points and what is your main driver to use Artificial Intelligence or Machine Learning. Speed up a tedious task? Get more accurate results? Facilitate research? Improve your internal search? Just find a use for the new technology? Through a series of facilitated workshops, task-based exercises, and meaningful conversations with key stakeholders, we gather valuable insights to produce a comprehensive set of recommendations.
Collaborating with your data owners, The Virtual Forge experts diligently pinpoint areas of concern, identified by missing, incomplete, or subpar data quality that impedes effective use. Our data engineering team formulates tailored recommendations and remedies, whether for implementation by your business or by our consultants. Concurrently, our dev ops team fine-tunes hardware and software requirements, ensuring seamless operation of your chosen tools, particularly if you are not leveraging a service-based AI solution.
Our data science team collaborates with your data, desired outcomes, and security considerations to meticulously design and construct a model tailored to your brand and products. While often not starting from scratch, we capitalise on existing models that underpin AI tools to expedite the process.
Our software development team creates and tests integrations between models, infrastructure, data, and AI tools. We can work independently or alongside your existing tools. Using an agile sprint-based approach, we deliver results quickly for client approval. Development efforts cover UI, business logic, workflow linking, and generating outputs. A rigorous internal validation process allows continuous model training and improvement based on user feedback and performance.
During the pilot or small roll-out stage of the project, manual intervention remains necessary for a certain time to collect user feedback. While the ideal system enables self-training and retraining of the model over time, we initially maintain manual oversight to incorporate any necessary adjustments based on feedback received.
Upon project handover to the client, we frequently receive requests for training, reporting, and periodic reviews. Additionally, we offer a comprehensive service level agreement (SLA)-driven Helpdesk to promptly address any questions or issues that may arise, ensuring ongoing support and assistance.
We have the capability to deliver the best visualization solution for your technology setting. With our proficiency in various visualization tools such as Tableau, Power BI, Qlik, or QuickSight, we can work within various technological ecosystems and provide the professional assurance you require from your data partner.
Our approach is pragmatic. Our goal is the delivery of accurate and effective data dashboards that will integrate seamlessly into your existing operations and help reduce the cost often associated with the effort behind the manual production of traditional BI solutions.
Our process is less about the underlying technology and more about finding the right fit for the project you want to do at the pace that you want to do it.
Staying quiet and static is not part of our core. All our professionals are constantly learning and staying up to date with current certifications, trends, and requirements within the industry - always reaching out to provide the highest quality services to our clients.
Our extensive knowledge in the manufacturing sector makes us a trustworthy partner for data-driven digital solutions.
The Virtual Forge team has more than 20 years experience developing custom solutions for Life Sciences clients.
We are experts in designing and developing data-driven custom software solutions for global brands in the automotive industry.
We can leverage our financial expertise to the most in-demand financial software. Our extensive range of customised financial solutions is specifically tailored to address the distinctive challenges faced by your business and sector.
The Virtual Forge is a trusted supplier of data-driven software solutions to Government and the Public Sector.
The Virtual Forge was responsible for creating a new technological solution for CleanCar, a smart analytics platform that can help fleet operators assess the costs and benefits of switching from ICE to EV fleets. The challenge was to rebuild the previous solution from the ground up to be capable of handling the large data influx.
The time required to execute an AI project can vary depending on several factors, including the complexity of the problem, the availability and quality of data, the scope of the project, and the specific requirements. Some AI projects can be completed in a matter of weeks, while others may take several months or longer. It is crucial to thoroughly analyse the project requirements, assess the data availability, and develop a comprehensive project plan to estimate the timeline accurately.
If you are facing challenges that involve processing large amounts of data, identifying complex patterns, making predictions, automating tasks, or improving decision-making based on data-driven insights, AI may be a suitable solution. Consulting with our experts can help assess your specific problem and determine if AI is the right approach to address it effectively.
Artificial Intelligence (AI) refers to the simulation of human intelligence in machines that can perform tasks, learn, and make decisions. Machine Learning (ML) is a subset of AI that focuses on enabling machines to learn and improve from data without being explicitly programmed.
This can admittedly be a tough sell, and a barrier to adoption - no matter how you try to meet the needs of your entire user base, there are some who prefer their own self-directed analysis, typically based on large Excel-like tables. The good news is that, to some degree, all modern BI platforms support the generation of CSV or Excel-based extracts, up to and including the entire data model. In that sense, BI platforms allow users to continue exploration beyond the page’s visuals so no one is, in effect, left out.
Choosing a BI platform can be difficult, since on the surface, they all achieve the same outcome.
That said, your technology stack and data ecosystem will play a significant role in your choice. If, for instance, you are a 100% Microsoft business, we’d likely recommend Power BI. If you have a large Salesforce.com user base, we’d suggest Tableau CRM.
Often enough though, enterprises cross multiple systems and methods for capturing and storing data, so the choice often comes down to which platform is the most appealing, both in terms of visual output and capabilities, and price. At The Virtual Forge, we tend to stay platform-agnostic when entering a new situation in order to find the best fit that meets the majority of your needs.
Typically, most BI platforms offer some sort of trial period to “test drive” the tool. Some, like Power BI, allow you to create and publish dashboards and reports without any additional licensing, though at some point, in order to be able to easily share and collaborate, licensing will definitely be required. Once you’ve reached that point, the level of licensing will vary depending on the size of your intended audience, as well as platform-specific considerations.
In general, the answer is almost always “yes”, though to what extent varies by situation.
There’s always some degree of cleansing and preparation, though the scope of that effort depends on the maturity of the data in question, and the means by which it is accessed.
If, for instance, you have an established data warehouse, consuming data from multiple sources in a central location, it’s very likely that little to no preparation is necessary.
By contrast, if the sources are Excel-based and touched by many hands in the chain of control, or derived from web-based sources, then it’s very likely to require anomaly detection and resolution, and a high-degree of shaping to fit the ideal reporting data model.
While a data warehouse should be considered an integral part of any enterprise-wide analytics solution, it’s not necessarily a pre-requisite to be up and running on most BI platforms.
Modern BI solutions, to varying degrees depending on the platform, have incorporated at least some level of data pipelines, transformations, and cleansing, functions typically carried out in the traditional warehouse.
While the data warehouse is the more complete solution, these platforms are designed to get you started exploring your data quickly, which is great news for smaller businesses or teams where a full-blown warehouse isn’t financially feasible.
A dashboard is a user-friendly interface that displays critical information and data in a visual format (bar graphs, pie charts, heat maps, scatter plots, etc.). The purpose of a dashboard is to provide quick and easy access to key metrics, data, and insights that help inform decision-making and drive business performance. Dashboards can be designed to display a wide range of data from multiple sources, including real-time updates, historical trends, and predictive analytics.
Data Dashboards become essential by providing real-time insights, improve communication, increase productivity, and enable data-driven decision-making. They can be customised to meet the specific needs of your business, providing a single source of truth for decision making.
By linking dashboards to particular metrics or KPIs, you gain critical business intelligence and the capability to delve into specific pieces of information, enabling you to continuously track your progress.
There's no one-size-fits-all answer to this question - it depends on the maturity of the data in question, and the means by which it is accessed. If, for instance, you have an established data warehouse, consuming data from multiple sources in a central location, it's very likely that little to no data preparation is necessary. By contrast, if the data sources used are Excel-based and touched by many hands in the chain of control, or derived from web-based sources, then it's very likely to require anomaly detection and resolution, and a high-degree of shaping to fit the ideal reporting data model.
Put simply, a Power BI consultant is an expert in the field with a situation-dependent, malleable role. Through years of experience on the data platform side, a Power BI consultant has acquired the knowledge to fulfill many roles: data modeler, visual designer, advisor, and trainer. Above all, a Power BI specialist has learned to listen to you, and to assume the role that best meets your needs.
Whether you're just starting out in Power BI, encountered a seemingly intractable problem, or simply need an expert to review your implementation, , and data models, Power BI experts and consulting services exist to help you meet your unique needs efficiently and with minimal investment in time and manpower.
Fabric is the latest innovation from Microsoft, with the aim of establishing an all-in-one, tightly integrated analytics platform. It encompasses ETL pipelines, data warehousing, AI capabilities, and visualisation via Power BI in a single scalable package.
Working with The Virtual Forge was a pleasure. The relationships that we build, quite quickly, led to a really lovely experience. The whole team was highly efficient, creative and tactical.
Working with The Virtual Forge made everyone enjoy being part of the project. It never felt like two separate teams, but just one big team. Everything felt natural, easy, even when there were challenges.
The Virtual Forge collaborates with several strategic partners to guarantee the delivery of cutting-edge services that meet and exceed clients' expectations. We are trusted by some of the most recognised technological brands in the world.
Snowflake positions itself as the optimal solution for organisations prioritising secure and scalable cloud data management. The security features of the Snowflake Cloud Data Platform, including encryption, access controls, and data masking, play a crucial role in safeguarding sensitive information during the digital revolution.
We begin a 3 part series where we’ll explore how to use low code development platforms together to create an image classifier that can determine if an image contains a man, a woman, or a monkey wearing a business suit, a Kung Fu uniform or casual wear (e.g., jeans & sneakers).
Companies have begun implementing low-code development and citizen development approaches to meet their demand for innovative software solutions. Low-code/no-code development platforms have gained a large adoption in recent years. But do you understand the reasons why?