Turn data into competitive advantage with Data Science

We build custom Artificial Intelligence and Machine Learning systems
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Unlock the power of your data

Identify the full potential of your datasets. Architect, build and scale custom Data Science solutions for your business.

Automate your business

Use AI and ML to cope with laborious tasks, removing human-error of the equation and increasing performance

Data Based Decisions

Using ML and predictive algorithms, you can gain unique insights into your business, making better decisions.

Predictive Analytics

Find patterns in your data and forecast the future with accurate AI systems that help you plan ahead.

Build Competitive Advantage

With a custom based solution working through your data, you generate ownable and unique insights to stand out from competition.

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 a Scrum based methodology.

how we do it

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 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.

Working Models

At Imaginary Cloud we provide you with flexible solutions to work with our team, depending on your business requirements:
Imaginary Cloud Staff Augmentation Service
TEAM EXTENSION
By choosing this opinion we provide you with the exact resources that you need and will integrate your technical team to expand your capabilities, being Data Scientists, ML Engineers, Data Engineers and others.
SPECIALIZED SQUADS
With this option we provide you with a complete set of resources to deliver an end to end solution, removing the need to have a technical team or a project management process from your end as we will take care of everything.
MIXED APPROACh
In this tailor made approach, you can define Team Extension resources to help you on one side of the business and a specialized squad to help you on another.

Our answers to your
Data Science questions

Here’s what you need to know to bring extra value to your business:
UX Audit questions: get to know all the answers with Imaginary Cloud
What is Data Science?
How can our Data Scientists help you?
UX Audit questions: get to know all the answers with Imaginary Cloud
How does our Data Science Process work?
UX Audit questions: get to know all the answers with Imaginary Cloud
How much does it cost to build a Data Science solution?
UX Audit questions: get to know all the answers with Imaginary Cloud

Our answers to your
Data Science questions

Here’s what you need to know to bring extra value to your business:
What is Data Science?
Data 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 behavior and identify new revenue opportunities.
How can our Data Scientists help you?
Data Science can be used for: Detection of anomalies (fraud, disease, crime), Automation and decision-making (background checks, credit worthiness), 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).
How does our Data Science Process work?
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.
How much does it cost to build a Data Science solution?
Depending on your project needs, consider the average hourly cost of a data scientist working on your product from 2 weeks to 6 months. 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.

Build and scale custom Data Science solutions for your business.

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We are an award-winning company.

WE already helped more than 300 industry leaders.

Imaginary Cloud is an award-winning company that already helped more than 300 industry leaders.Imaginary Cloud is an award-winning company that already helped more than 300 industry leaders.Imaginary Cloud is an award-winning company that already helped more than 300 industry leaders.Best Place to Work Logo
Unlock the power of your data by reading our "4 Strategies to Improve the Relevance of Your Business using Data Science” e-book.

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FROM OUR BLOG

Data Science: What is it and how can it help your business?

Living in the era of "Big Data" can be overwhelming. We might not think about it, but we continuously produce and release volumes of information about ourselves with each move we made (cameras, sensors, card movements, PC logins, internet navigation).
read it now
Living in the era of "Big Data" can be overwhelming. We might not think about it, but we continuously produce and release volumes of information about ourselves with each move we made (cameras, sensors, card movements, PC logins, internet navigation).
read it now