Ideas we realize. Problems we solve.
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Prediction
Model training
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Segmentation
Model training
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Clusterization
Model training. Model learning.
AI and ML process and timeline
While the estimate depends on your project idea, we work in short, focused iterations — so you’ll see results asap. If you need help with project ideas, please read the section above.
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1
Start
Start of iteration 1
✔ Estimated time: 5 days.
✔ Start without the overhead of hiring in-house.
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2
AI and ML
Work execution
✔ Estimated time: 2 weeks
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3
Finish
Finish of iteration 1
✔ Estimated time: up to 1 week.
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4
Start
Start of iteration 2
✔ We provide support with AI and ML through ongoing maintenance and other options.
We are certified partners of
Whom we already helped with analytics consulting
We don’t just understand data, we understand your industry
Client testimonials
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“They did a lot of work studying real user data – they built hypotheses and ran experiments that led to a significant increase in our conversions.”
Analytics director at Plarium
Anton Polischuk
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“Working with Dot Analytics to develop the AI capability of our new DataRoot Labs platform has been transformative for us and our customers.”
CEO, co-founder of DataRoot Labs
Max Frolov
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“We had so-called raw business data and we wanted to centralize it for further analysis. The main thing for us is that we got high-quality and accurate data. We are convinced that they did a great job!
CEO, co-founder of Bookimed
Yevheniy Kozlov
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“We needed to combine, process and display a large amount of data. It was a complex job and I am 99% satisfied with the result.”
CEO, co-founder at Futurra Group
Vitaliy Shatalov
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“We were interested not only in working with user data and the site, but also in comprehensively improving marketing. We are very pleased with the result.”
CEO at Kismia
Vlad Amardi
“They did a lot of work studying real user data – they built hypotheses and ran experiments that led to a significant increase in our conversions.”
Analytics director at Plarium
Anton Polischuk
“Working with Dot Analytics to develop the AI capability of our new DataRoot Labs platform has been transformative for us and our customers.”
CEO, co-founder of DataRoot Labs
Max Frolov
“We had so-called raw business data and we wanted to centralize it for further analysis. The main thing for us is that we got high-quality and accurate data. We are convinced that they did a great job!
CEO, co-founder of Bookimed
Yevheniy Kozlov
“We needed to combine, process and display a large amount of data. It was a complex job and I am 99% satisfied with the result.”
CEO, co-founder at Futurra Group
Vitaliy Shatalov
“We were interested not only in working with user data and the site, but also in comprehensively improving marketing. We are very pleased with the result.”
CEO at Kismia
Vlad Amardi
why choose us as your data analytics agency
We don’t just deal with data, we understand your industry
Our expertise in a range of industries allows us to deliver solutions that align with industry standards and our clients’ expectations.
Explore our Industry-Specific Expertise
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E-commerce
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iGaming
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Web 3.0
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SaaS
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Crypto
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Social Discovery
FAQ
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What does the Data Analytics with AI service include?
Our service integrates Data Automation, Segmentation & Clustering, Time Series Analysis, Machine Learning and Model Training, AI Development (including Generative AI and NLP), and Real-Time Analysis. This transforms raw data into actionable business insights.
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How is AI-powered analytics different from traditional analytics?
Traditional analytics answers “what happened,” while AI-powered analytics answers “what will happen,” “why it happens,” and “what actions should be taken.” It provides not just reports but intelligent recommendations and automation.
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At which stage of the project is Machine Learning applied?
Machine Learning is applied after data preparation and segmentation. It involves training models, validating their accuracy, and fine-tuning them to solve specific business problems.
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What business outcomes can be expected from implementing Data Analytics with AI?
Faster trend detection, improved customer insights, automation of decisions, and reduced time from data to action — all driving operational efficiency and business growth.
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Can your solutions be integrated into our existing systems?
Yes. Our solutions easily integrate with modern CRM, ERP, marketing platforms, and BI systems via APIs, streaming services, or direct database connections.
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How is the effectiveness of the implemented models measured?
Through technical metrics (accuracy, precision, recall) and business KPIs such as higher conversion rates, reduced churn, increased LTV, and faster response times.
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How secure is working with our data?
We ensure full data security: encryption, access control, and compliance with GDPR and all applicable regulations. Data confidentiality is a top priority.
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What kind of ongoing support does Dot Analytics provide after data solution deployment?
We offer continuous support to keep your data infrastructure running smoothly. Our maintenance services include governance, data quality management, cataloging, and lineage tracking. We also provide updates, performance optimizations, and enhancements to align with your evolving business needs. With our proactive approach, we ensure your data solutions remain scalable, secure and future-proof.