Consulting & AI Assessment
We assess your current digital and AI capabilities, identify high-value opportunities, and build a clear roadmap for responsible and effective AI adoption.
Learning Platforms
From UX and architecture to scalable backend and QA, we deliver robust platforms that improve your business results
AI & Data Products
We design and build deep-tech AI products — including intelligent tutors, learning analytics engines, recommendation systems, content-generation pipelines, and many more.
Quick AI Automation
Projects run in weeks, not months, helping your company to reduce manual work and boost efficiency without large budgets or complex IT transformations.
E-commerce
We help e-commerce businesses scale sales and operations using AI, data, and custom digital platforms.
Education & Training
We help education institutions modernize learning and operations using AI, data, and digital platforms.
Industrial Manufacturing
We deliver digital tools that optimize production, and reduce operational waste. From MES enhancements to automation and real-time analytics
Consulting & AI Assessment
We assess your current digital and AI capabilities, identify high-value opportunities, and build a clear roadmap for responsible and effective AI adoption.
Learning Platforms
From UX and architecture to scalable backend and QA, we deliver robust platforms that improve your business results
AI & Data Products
We design and build deep-tech AI products — including intelligent tutors, learning analytics engines, recommendation systems, content-generation pipelines, and many more.
Quick AI Automation
Projects run in weeks, not months, helping your company to reduce manual work and boost efficiency without large budgets or complex IT transformations.
E-commerce
We help e-commerce businesses scale sales and operations using AI, data, and custom digital platforms.
EdTech projects development
Through in-depth research and analysis, we identify opportunities for growth, target audience insights, and the most effective channels to reach them.
Industrial Manufacturing
We deliver digital tools that optimize production, and reduce operational waste. From MES enhancements to automation and real-time analytics
Introduction
The KazEnergy Association, a key institution coordinating Kazakhstan’s energy sector, faced major challenges in monitoring, analyzing, and forecasting industry dynamics across oil, gas, and renewable energy segments. Existing data sources were fragmented — spread across government agencies, industry reports, media, and company filings — making decision-making slow and inconsistent. KazEnergy sought to create an Analytical Data Platform (ADP) that would automate data collection from multiple structured and unstructured sources, consolidate it into a unified Data Warehouse (DWH), and provide real-time analytics and interactive dashboards for energy industry monitoring, forecasting, and reporting.
Business Challenges
Fragmented and heterogeneous data ecosystem
Lack of automated analytics and visualization tools
Limited ability to process unstructured information
Approach
The solution implemented a modular analytical platform based on a multi-layer architecture:
• Data Collection Subsystem — automatic ingestion from APIs, file uploads, and direct DB connections; supports structured, semi-structured, and unstructured data.
• Data Warehouse (DWH) — unified storage combining relational, non-relational, and graph databases for efficient cross-domain analysis.
• Analytics & Visualization Layer — dynamic dashboards, reports, and visual widgets (built in Microsoft Power BI) showing KPIs such as production, exports, and prices.
• Unstructured Data Analysis Module (NLP) — uses AI to summarize documents, extract entities, detect topics, and build knowledge graphs.
• Administration Subsystem — full control over users, roles, access rights, and audit logs.
• Data Warehouse (DWH) — unified storage combining relational, non-relational, and graph databases for efficient cross-domain analysis.
• Analytics & Visualization Layer — dynamic dashboards, reports, and visual widgets (built in Microsoft Power BI) showing KPIs such as production, exports, and prices.
• Unstructured Data Analysis Module (NLP) — uses AI to summarize documents, extract entities, detect topics, and build knowledge graphs.
• Administration Subsystem — full control over users, roles, access rights, and audit logs.
Development Process
Phase 1 — Research & Design
o Collected data structure and requirements from KazEnergy departments and government partners.
o Designed system architecture, database schema, and UX mock-ups for dashboards.
o Delivered a Conceptual Project with role matrix, security model, and scalability plan.
Phase 2 — System Development
o Implemented DWH with hybrid storage (PostgreSQL + Neo4j + MongoDB).
o Developed ETL pipelines for ingestion from state and corporate data sources. o Created analytics dashboards and widgets visualizing key indicators: production, reserves, exports, investments, taxes, and pricing.
o Integrated NLP module (Python + TensorFlow/PyTorch) for automatic summarization, topic modeling, and trend detection.
Phase 3 — Deployment & Operation
o User training and system testing with real datasets.
o Launch into pilot mode followed by full production deployment.
o Established warranty support and 24/7 monitoring procedures.
o Collected data structure and requirements from KazEnergy departments and government partners.
o Designed system architecture, database schema, and UX mock-ups for dashboards.
o Delivered a Conceptual Project with role matrix, security model, and scalability plan.
Phase 2 — System Development
o Implemented DWH with hybrid storage (PostgreSQL + Neo4j + MongoDB).
o Developed ETL pipelines for ingestion from state and corporate data sources. o Created analytics dashboards and widgets visualizing key indicators: production, reserves, exports, investments, taxes, and pricing.
o Integrated NLP module (Python + TensorFlow/PyTorch) for automatic summarization, topic modeling, and trend detection.
Phase 3 — Deployment & Operation
o User training and system testing with real datasets.
o Launch into pilot mode followed by full production deployment.
o Established warranty support and 24/7 monitoring procedures.
Data and Visualization Examples
1) Dashboards: oil & gas production, refinery processing, foreign investment, national fund contributions, energy consumption, and fuel price dynamics.
2) Unstructured analytics: automatic generation of summaries and insights from industry news, reports, and scientific articles.
3) Knowledge Graph: linking entities such as companies, fields, and projects for contextual exploration.
2) Unstructured analytics: automatic generation of summaries and insights from industry news, reports, and scientific articles.
3) Knowledge Graph: linking entities such as companies, fields, and projects for contextual exploration.
Our tech stack
Results
End-to-end digitalization
Data aggregation and analytics for Kazakhstan’s energy sector.
>50 % reduction
In manual report preparation time.
Enhanced decision-making speed
With real-time KPIs and predictive modeling.
Improved transparency and communication
With government agencies and industry stakeholders.
Client Testimonial
Ruslan Hairutdinov
Founder and CEO
We reached out to Allgorithm because we needed a platform to connect all our brands, use the same technology for apps and websites, and gather all orders in one admin panel. Our team did not have experience with building such a platform, so we were looking for experts to help us. We are happy with the work and already plan new projects together. We hope to have a long-term partnership with Allgorithm to keep growing and improving.