ZHAIKMUNAI
KazakhstanZhaikmunai
Automated Government Reporting System
Industrial software & applied AI
Digital systems for high-stakes industrial operations
DeepsinAI turns complex reporting, operational, and workforce processes into reliable software products built for real-world use.
System architecture
Operational architecture for industrial AI
One integrated chain
01
Field Data
Operational telemetry, testing results, production signals, and engineering inputs.
02
Engineering Logic
Domain rules, workflows, production reasoning, and technical decision structures.
03
AI Models
Applied models for diagnostics, validation, prioritization, forecasting, and insight generation.
04
Operational Decisions
Production actions, workforce interventions, reporting outputs, and real-use deployment.
Selected client engagements
Built for enterprise operations in Kazakhstan and Serbia
DeepsinAI delivers systems for regulated reporting and technical workforce readiness in demanding industrial environments.
NIS
SerbiaNaftna industrija Srbije
Competency monitoring and testing system
O&G
Deep oil and gas expertise
Built around real production engineering, diagnostics, and operations context.
3
Proprietary software products
Three products designed for operations, reporting, and workforce intelligence.
AI
Production-grade applied systems
AI used inside operating workflows, not as detached experimentation.
ENG
Built by engineers
Software architecture shaped by engineering logic, industrial constraints, and deployment reality.
Products
Three proprietary products built for industrial intelligence
DeepsinAI products are structured around engineering workflows, technical validation, and operational decision environments.
Operations & Production
DEEP Platform
Industrial data and AI foundation
Industrial data and AI foundation for engineering and operations teams that need visibility, diagnostics, and decision support.
Structured for operators who require monitoring, engineering logic, and applied AI inside real production environments.
Production monitoringWell diagnosticsOperational prioritizationAI-enabled decision support
Compliance & Reporting
GRS
Government Reporting System
Automated reporting and submission control
Digital system for collecting, validating, processing, and submitting industrial reporting data with traceability and operational control.
Built for organizations that need reporting accuracy, auditability, and lower administrative burden across regulated workflows.
Data validationRegulatory calculationsSubmission workflowsAudit traceability
Workforce Systems
CompetencyIQ
Competency, learning, and workforce intelligence
Platform for competency mapping, structured assessment, learning visibility, and workforce intelligence across technical organizations.
Designed for industrial teams that require measurable capability development and technical readiness across roles.
Competency mappingAssessment intelligenceLearning oversightWorkforce visibility
Expertise
Focused expertise for industrial product delivery
The technical foundation is centered on production optimization, industrial software development, and AI-enabled engineering workflows.
01
Production optimization
Operational software and AI workflows focused on performance, bottlenecks, and field-level decision support.
02
Industrial software development
Product architecture for industrial systems where reliability, traceability, and long-term usability are mandatory.
03
AI-enabled engineering workflows
Applied AI embedded into diagnostics, validation, interpretation, and engineering support processes.
Methodology
A product methodology built around operational reality
We do not begin with interface decoration or generic AI tooling. We begin with operations, engineering structure, and deployment logic.
01
Understand Operations
We start from the operating environment, technical constraints, users, and engineering context.
02
Structure Engineering Logic
Operational rules, workflows, diagnostics, and decision paths are modeled before software scale-up.
03
Build the Digital Product
We translate that logic into resilient platforms, interfaces, data layers, and applied AI systems.
04
Deploy for Real Use
The final system is designed to work inside real teams, real reporting flows, and real operations.
Case Studies
Three product outcomes grounded in real industrial use
Representative outcomes show how DeepsinAI products improve operating speed, reporting discipline, workforce readiness, and cost control.
Case Studies 01
DEEP Platform
Product Impact
Data view
Centralized
Diagnostics
Structured
Priorities
Clearer
Outcome
Faster operational decisions, lower OPEX, and better production response discipline.
Using DEEP Platform, engineering and operations teams reduced decision-making time by centralizing field data, diagnostics, and operational signals in a single production view. Faster interpretation led to lower intervention delay, stronger production prioritization, and measurable OPEX reduction.
Case Studies 02
NIS | CompetencyIQ
Product Impact
Assessment
Structured
Readiness visibility
Centralized
Capability planning
Supported
Outcome
A consistent framework for competency assessment, readiness visibility, and technical development planning.
For Naftna industrija Srbije, DeepsinAI developed a system for monitoring and testing employee competencies. The solution gives technical teams a structured view of assessment results and competency development by role.
Case Studies 03
Zhaikmunai | GRS
Product Impact
Reporting flow
Controlled
Compliance
Traceable
Audit trail
Structured
Outcome
A controlled reporting workflow with stronger traceability and lower manual compliance burden.
For Zhaikmunai in Kazakhstan, DeepsinAI is developing an Automated Government Reporting System that structures the collection, validation, calculation, approval, and delivery of regulatory reports.
Closing statement
AI is valuable only when it works inside real operations.
DeepsinAI builds industrial AI systems where engineering structure, software architecture, and operational use have to align from day one.
Contact
Book a technical demo
Email
office@deepsinai.comFocus
Products, engineering systems, and industrial AI deployment
Engagement model
Best suited for organizations that need productized industrial software, technical validation systems, or AI-enabled workflows grounded in real engineering use.