Turn data into competitive advantage with custom DS and AI systems.
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Using the ideal processes to fit your needs. We follow a technology-agnostic process, designing AI systems through incremental development and continuous value delivery using the scrum methodology.
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.
Our AI process starts with a deep dive into 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 is set in place 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 for all requirements, dependencies, costs and risks.
NEED A QUOTE FOR YOUR PROJECT?
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.
We design your product from top to bottom and make sure it will skyrocket your product’s usability, efficiency, and success and, most importantly, addresses your users’ 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.
Top machine learning company
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Top artificial intelligence company
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#4 Most reviewed Artificial Intelligence Company UK
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Bridging borders, serving clients in over 80 countries worldwide.
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Since 2010, we’ve accerelated more than 300 web, software and mobile application services.
Whether it’s developing SaaS platforms or optimizing customer satisfaction, create tech solutions that not only set you apart but are also pivotal for your digital transformation journey.
TECHNOLOGY
Craft tailored financial applications for digital transformation with us, including web and mobile trading platforms, retail banking, investment solutions, and stock exchange apps.
FINTECH
Transform your innovative ideas into market-ready, scalable offerings. From conceptualization to streamlined production, we guide you through every step of the productization journey.
PRODUCTIZATION
By following a technology-agnostic process, our team of Data Scientists designs Artificial Intelligence systems through incremental development using a scrum-based methodology.
The aim is to help companies like yours automate business, make better decisions, forecast future patterns or trends, and build competitive advantage.
data scientists
By following a technology-agnostic process, our Data Scientists design Artificial Intelligence systems through incremental development, using a scrum-based methodology. The aim is to help companies like yours automate business, make better decisions, forecast future patterns or trends, and build competitive advantage.
Imaginary Cloud focuses on crafting scalable technology. With our proprietary development processes, we ensure dependable, user-centric solutions that propel smooth digital transformation for both Enterprise and Scale-up companies.
We provide you with flexible solutions throughout the software development lifecycle, from expanding your delivery team to full project management, depending on your 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 quoteData Science is an interdisciplinary area that uses scientific methods, processes, algorithms, systems, and machine learning principles to discover hidden patterns, trends, and correlations from the extracted raw data. Data Science emerges to provide a holistic business vision by gathering and filtering valuable/actionable insights that help predict customer behaviour and identify new revenue opportunities.
Data Science can be used for:
• Detection of anomalies (fraud, disease, crime)
• Automation and decision-making (background checks, creditworthiness)
• Classifications (like classifying emails as “important” or “junk”)
• Forecasting (sales, revenue and customer retention)
• Pattern detection (weather patterns, financial market patterns)
• Recognition (facial, object, voice, text, fingerprint)
• Recommendations (products, services, books)
We follow a technology-agnostic process, designing AI systems through incremental development and continuous value delivery using a Scrum-based methodology. Our process has 4 main stages: Research, Ideation, Execution and Technical Assessment.
The cost of a Data Science solution starts at $33 000*.
If you need more detailed information, you can reach out to us, and we will help you with estimations. Our data scientists will support you on your journey to success by helping you achieve your business goals.
*Note: Rates may vary based on currency.
For early-stage products, it takes 1,5 to 3 months to build a complete Data Science solution.
Data science requires tremendous work with machine learning models, which is only possible through programming and coding languages. Finding alternatives for such powerful machine learning packages might be challenging without at least some familiarity with languages. Hence, data scientists need to code to use their machine-learning libraries.
In the computer science field, there is a correlation between artificial intelligence and machine learning. These two technologies are the most popular ones used to build intelligent systems today.
Even though AI and ML are connected and occasionally used interchangeably, they are nonetheless two distinct concepts in various contexts. Broadly speaking, we can distinguish between AI and ML by saying:
"AI is a bigger concept to create intelligent machines that can simulate human thinking capability and behaviour, whereas, machine learning is an application or subset of AI that allows machines to learn from data without being programmed explicitly."
Still 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.
Many individuals still believe that artificial intelligence is connected to science-fiction dystopias, but that opinion is declining as AI becomes more prevalent in our daily lives.