Leverage data science to reduce costs, improve forecasting, and automate decisions. We build intelligent, scalable solutions that deliver impact.
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We deliver future-ready data science solutions designed to optimise operations, personalise experiences and unlock new growth opportunities. From data preparation to model deployment, our experts craft scalable, production-ready pipelines tailored to your objectives.
Using Python, R and cloud-native tools, we transform raw data into actionable insights, predictive models and automated systems that drive impact.
Reveal insights that drive more intelligent decisions, cost savings and strategic advantage.
From small datasets to petabyte-scale, our models scale with your business.
Built to your context using supervised, unsupervised and reinforcement learning.
Solutions crafted to directly support KPIs and business goals.
Throughout the software lifecycle, we use the Agile Development Process - a set of principles and practices that emphasise cooperation, flexibility, and continuous development, allowing teams to deliver high-quality software in a timely and efficient manner. Consider agile methodology your software development GPS, giving guidance, navigation, and the ability to react to changes along the road.
The process starts with a deep dive into the business vision, researching existing solutions and available data to allow for a clear problem definition.
It is followed by a comprehensive analysis of the gathered data and ideation of possible solutions, leading to a proof of concept and viability assessment.
After the prototyped solution is integrated into the product, a streamlined MLOps flow is set in place for our data scientist to run quick experiments and production increments.
Throughout the whole process, the High-Level Architecture of the AI solution and the project plan are designed and refined, accounting all requirements, dependencies, costs and risks.
The Research phase of the Data Science Process (DSP) lays the groundwork for the project. It begins with a briefing, where the team aligns on the business vision, objectives, and implementation strategies, ensuring a clear direction.
Next, benchmarking analyses industry solutions, design patterns, and existing technologies to position the project effectively and avoid redundant effort. The team then evaluates data sources, assessing client-owned, public, or newly acquired data to ensure sufficient, high-quality inputs.
Finally, the problem is formally defined, specifying inputs, outputs, validation metrics, constraints, deployment strategies, and deliverables. This ensures all stakeholders have a shared understanding, setting the stage for a well-structured and efficient development process.
This phase defines the technical and structural roadmap for development. It begins with the high-level architecture, designing a solution that balances complexity and scalability while ensuring seamless integration with the broader product. This includes identifying key dependencies such as data storage, computing power for model training, and auxiliary AI services like voice recognition or text processing. The outcome is a clear, detailed proposal that aligns both the development team and stakeholders.
Next, a project plan is established, outlining major milestones, phases, and dependencies. This provides a structured view of the development process, helping estimate the required effort, resources, and costs for each stage. By the end of this phase, the team has a well-defined path to guide implementation efficiently.
The Ideation phase focuses on exploring and validating potential solutions. It begins with exploratory and predictive analysis, where prototype algorithms and models are developed and iterated upon to test different AI architectures. This phase helps identify the most promising approach for a proof of concept while setting expectations for final performance.
Once a candidate model is selected, a proof of concept (PoC) is built, incorporating essential features such as data pipelines, model serving, and post-processing. The first version of the product is deployed to verify its functionality and ensure it meets business requirements.
Finally, a viability assessment reviews technical and business risks, using insights from the PoC to refine the execution plan. Stakeholder feedback is gathered to assess whether the solution is feasible and aligns with business goals before moving forward with full-scale development.
The Execution phase focuses on setting up robust infrastructure and iterating towards a production-ready solution. It begins with the MLOps bootstrap, where experiment tracking tools, CI/CD pipelines, and quality assurance protocols are established. This ensures smooth versioning, automated model training, validation, deployment, and monitoring, allowing for continuous experimentation and delivery in a controlled environment.
As development progresses, production increments refine the model through ongoing experimentation, such as training on larger datasets and updating architectures. Maintenance tasks, including adjustments to inputs, outputs, and processing steps, are handled iteratively using Git-Flow methodology. This structured approach ensures the final product meets performance requirements while remaining adaptable to future improvements.
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Our team of business developers and project managers can help you to clarify any questions you have related. Feel free to chat with us anytime and get a quote for your project.
Real-time insights and predictions help teams act quickly and confidently.
Automation and intelligent processes reduce costs and manual effort.
Custom data models give you a strategic edge in fast-moving markets.
Solutions built using scalable architecture, versioned models and automated retraining pipelines.
By leveraging data-driven insights, AI-powered automation, and predictive analytics, we create end-to-end solutions that not only meet but anticipate user needs.
Use AI and ML to cope with laborious tasks, removing human-error of the equation and increasing performance.
Using ML and predictive algorithms, you can gain unique insights into your business, making better decisions.
Find patterns in your data and forecast the future with accurate AI systems that help you plan ahead.
With a custom-based solution working through your data, you generate ownable and unique insights to stand out from the competition.
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top b2b company
UNITED KINGDOM
Clutch, 2023
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Top artificial intelligence company
Clutch, 2023
#4 Most reviewed Artificial Intelligence Company UK
Clutch
Top machine learning company
Clutch, 2023
Top artificial intelligence company
Clutch, 2023
#4 Most reviewed Artificial Intelligence Company UK
Clutch
Bridging borders, serving clients in over 80 countries worldwide.
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With a 99% client satisfaction rate, Imaginary Cloud brings together a handpicked team of EU-based data science experts trusted by global enterprises. From machine learning engineers to cloud-certified data architects, our specialists combine deep analytical skills with a business-first mindset.
We deliver intelligent systems that are robust, explainable, and ready for scale. Whether you need end-to-end product delivery or a seamless extension to your in-house team, we lead every stage with speed, rigour, and strategic clarity.
Data Scientists
Experts in statistical modelling, machine learning, deep learning and optimisation. We translate business challenges into model-driven strategies.
Data Engineers
We build reliable pipelines and scalable infrastructure to ensure clean, timely and structured data for modelling.
ML Ops Specialists
Our team ensures that your models are reproducible, traceable and production-ready, with full lifecycle monitoring.
Project Managers
Agile-certified PMs ensure that data projects are delivered on time, within scope and with measurable impact.
At Imaginary Cloud we provide a unique service tailored to the needs of companies that are focused on growth. Know more about why we are the right partner to fuel your growth.
At Imaginary Cloud we provide you with flexible working models to work with our team, depending on your business requirements.
Browse the Frequently Asked Questions and get your answers. Or better yet – get in touch with our team and let’s talk!
get a quoteStill have questions?
Our team of business developers and project managers can help you to clarify any questions you have related. Feel free to chat with us anytime.
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