Data Science & AI Consulting

Dinis Akulov

Transforming data into business solutions.
AI systems that drive growth, cut costs, and unlock new opportunities.

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About

🏛️

History

Founded in 2020 as a solo data science practice. What began with machine learning consulting has grown into a full-spectrum AI development firm. Over the years, we have delivered solutions spanning computer vision, natural language processing, recommendation systems, and LLM-powered applications — working with startups and established companies across healthcare, education, and enterprise analytics.

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Mission

To make cutting-edge AI accessible and practical for businesses of every size. We bridge the gap between academic research and production systems — delivering solutions that are not just technically excellent, but also reliable, maintainable, and aligned with real business goals.

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Vision

A world where every company — from a two-person startup to a large enterprise — can leverage artificial intelligence as naturally as they use databases or cloud infrastructure today. We are building toward that future one production system at a time, prioritizing measurable impact over hype.

Services

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LLM Applications

Custom chatbots, intelligent document processing, RAG systems, and AI agents. We build LLM-powered solutions that automate knowledge work — from customer support to internal analytics.

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Computer Vision

Image classification, object detection, medical imaging analysis, and visual quality inspection. PyTorch-based models optimized for production deployment with Docker and scalable infrastructure.

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Data & Analytics

End-to-end data pipelines (PySpark, Airflow, ClickHouse), interactive dashboards, and natural-language query interfaces that let non-technical stakeholders ask questions directly from the data.

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AI Consulting

Technology strategy, architecture review, model selection, and feasibility assessment. We help companies navigate the AI landscape and avoid costly mistakes before a single line of code is written.

How We Work

A proven four-stage methodology that takes projects from idea to production — transparently, on time, and on budget.

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Discovery

We dig into your data, goals, and constraints. You get a clear feasibility report, scope definition, and a fixed-price proposal — no surprises later.

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Prototype

We build a lightweight working prototype within 1–2 weeks. You see real results early, validate the approach, and course-correct before full development begins.

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Build & Integrate

We engineer the production system — containerized, tested, documented. Regular demos keep you in the loop. We integrate with your existing stack, not replace it.

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Deliver & Support

We deploy, train your team, and hand over full ownership. Post-launch support ensures everything runs smoothly. You get the code, the docs, and the confidence to run it yourself.

Client Projects

Selected solutions developed for clients across industries — from AI infrastructure tools to healthcare diagnostics and educational platforms.

FinTech

Real-Time Fraud Detection System

XGBoostKafkaRedisDockerPython

Manufacturing

Predictive Maintenance Platform

PyTorchIoTInfluxDBGrafanaDocker

Telecommunications

Customer Churn Prediction Engine

LightGBMSQLAirflowTableauPython

Retail

Demand Forecasting & Inventory Optimization

ProphetPythonPostgreSQLAirflowStreamlit

Legal Tech

AI-Powered Contract Analysis System

LLMspaCyOCRFastAPIDocker

Logistics

Supply Chain Route Optimization Engine

OR-ToolsPythonPostGISRedisDocker

Healthcare

Radiology AI Assistant for Abnormality Detection

PyTorchDICOMFastAPIDockerMONAI

Achievements & Numbers

Years in AI Development

10+

Delivered Projects

Industries Served

FinTech, Manufacturing, Telecom, Retail, Legal, Logistics, Healthcare

OSS

Open Source Contributor

Published tools used by developers worldwide