ABAY-GERMES / Infrastructure AI

Engineering intelligence for national infrastructure.

ABAY-GERMES builds AJAU AI, an infrastructure intelligence platform, and the industry verticals on top of it.

Physical InfrastructureInfrastructure IntelligenceDecision IntelligenceNational Scale

Explore AJAU AI Explore HouseMaster Contact

01 · Company

An engineering company, not a software studio.

Who we are

ABAY-GERMES is a Kazakhstan-based technology company.

Mission

To give infrastructure a working memory.

Vision

A national infrastructure layer.

Engineering-first philosophy

We do not build isolated applications.

02 · Framework

Infrastructure Intelligence

The same pipeline runs underneath every ABAY-GERMES product.

Capture

A physical asset receives a digital identity.

Structure

Evidence is classified and written into a knowledge graph.

Decide

AJAU AI converts the graph into decisions.

03 · Ecosystem

One platform. Many verticals.

AJAU AI is the infrastructure intelligence layer shared by every ABAY-GERMES product.

CompanyPlatformVerticalsFuture ecosystem

VERTICAL · ROADMAP

AJAU Water

Water utilities & networks

VERTICAL · ROADMAP

AJAU Energy

Power & heating networks

VERTICAL · ROADMAP

AJAU Industry

Construction & production assets

VERTICAL · ROADMAP

AJAU Green

Energy-efficiency and emissions data.

VERTICAL · ROADMAP

AJAU Infrastructure

Roads, transport & public works

VERTICAL · ROADMAP

AJAU Capital

Financing & investment decisions

Further verticals under architectural design: ConstructionEnvironmentTransportAgricultureHealthcare

Solid outlines mark live products. Dashed outlines mark roadmap verticals under architectural design.

04 · Platform

AJAU AI — Infrastructure Intelligence Platform

AJAU AI is the shared architecture underneath every ABAY-GERMES product.

01

Knowledge Graph

Assets, inspections, documents and decisions are modeled as a connected graph.

02

Agentic AI

Task-specific agents classify evidence.

03

Digital Twin

Each physical asset is represented by a structured digital counterpart.

04

Predictive Analytics

Historical condition data is used to model degradation trends.

05

Observability

Every data point entering the platform is traceable to its source.

06

Risk Scoring

Assets are scored against defined engineering and safety criteria.

07

Decision Intelligence

Risk, cost and condition data are combined into structured recommendations.

Platform roadmap

05 · Product

First production implementation of AJAU AI

HouseMaster — housing intelligence, built on the platform

HouseMaster is not a standalone application.

Field to record

Inspectors capture building condition through a structured field application.

Evidence to structure

Photographs, notes and measurements are classified.

Structure to decision

AJAU AI converts the graph into a risk score.

05A · Modules

HouseMaster Editions

HouseMaster is not one application — it is a set of modules sharing one knowledge graph.

01

HouseMaster Field

Offline-capable inspection application.

02

HouseMaster OSI

Structured technical condition assessment module.

03

HouseMaster Service

Maintenance and repair request tracking.

04

HouseMaster Inspection

Scheduled and ad-hoc inspection management.

05

HouseMaster Registry

The building and asset registry.

06

HouseMaster Academy

Training and certification for inspectors.

05B · Field Evidence

What inspection data looks like

HouseMaster is built around real field evidence, not synthetic examples.

Roof inspectionImage slot — documentary photography pending
Basement / technical floorImage slot — documentary photography pending
Heating unitImage slot — documentary photography pending
Facade inspectionImage slot — documentary photography pending
Engineer with tabletImage slot — documentary photography pending
Technical act / field evidenceImage slot — documentary photography pending

06 · Relevance

Where infrastructure intelligence applies

Housing

Portfolio-wide visibility into the physical condition of housing stock.

Construction

Structured quality and defect data across a project lifecycle.

Green Economy

Condition and performance data that supports energy-efficiency retrofitting.

Infrastructure Finance

Auditable risk and cost data for development banks and investors.

Digital Government

A shared, verifiable data layer for public agencies.

National Asset Intelligence

A consistent structure for representing infrastructure condition across sectors.

07 · Vision

Infrastructure Vision 2035

Every infrastructure asset accumulates digital layers over time.

  1. 2026 · Digital Identity

    Every registered asset gets a record

    A physical asset receives a unique digital identity.

  2. 2028 · Digital History

    Events become a continuous record

    Inspection, maintenance and repair events are captured as a timestamped sequence.

  3. 2030 · Digital Evidence

    Observations become structured data

    Photographs, sensor readings and measurements are classified.

  4. 2032 · Digital Memory

    Assets become connected

    Knowledge graphs link assets, components, decisions and outcomes.

  5. 2035 · Digital Intelligence

    Portfolios become decision systems

    Risk scoring, predictive analytics and decision support operate at scale.

08 · Context

Why Kazakhstan

Infrastructure intelligence platforms are built where the underlying conditions justify a national data layer.

Housing modernization

Ongoing reform of housing maintenance and capital repair financing.

Digital transformation

An established e-government infrastructure.

Green economy

National commitments to emissions reduction and energy efficiency.

Infrastructure finance

Development banks and public financing programs.

AI ecosystem

Public and private investment in AI adoption.

Engineering education

A technical university base.

MIFC potential

Kazakhstan's regional financial center ambitions.

Regional observability

A geographically large country with a concentrated network of major cities.

08A · National Scale

A national data layer, deployed regionally

AJAU AI is designed to operate at the scale of a single building and at the scale of a region at the same time.

Regions shown are illustrative of the deployment model.

08B · Audience

Designed for

  • Government
  • Municipalities
  • Engineering companies
  • Universities
  • Development banks
  • Infrastructure operators
  • Research institutions

09 · Technology

Built on established, composable standards

  • LLMLarge language models
  • KGKnowledge graph
  • CVComputer vision
  • GISGeographic information systems
  • PWAProgressive web application
  • IoTSensor & device integration
  • STDOpen data standards
  • AGTAgentic AI
  • DTDigital twins

10 · Products

The platform, its verticals and its documentation

Vertical 01 · Live

HouseMaster

First production implementation of AJAU AI.

View section Live

AJAU AI

The infrastructure intelligence platform.

View section In development

Knowledge Portal

A public reference for data standards and taxonomies.

View section In development

Academy

Training for inspectors, engineers and analysts.

View section In development

Research

Applied research on infrastructure risk modeling.

View section

11 · Knowledge

Research ecosystem

ABAY-GERMES treats its research, standards and documentation as a connected body of intellectual capital.

Book

A forthcoming technical book documenting the AJAU AI architecture.

Ontology

A formal ontology defining asset types, components and defects.

Knowledge Graph

The structured data layer connecting assets, inspections and decisions.

Academy

Training curricula for inspectors, engineers and analysts.

Research

Technical notes on infrastructure risk modeling.

Patent Portfolio

Documentation of proprietary methods.

Portal

A public reference for data standards and taxonomies.

Standards

Defect taxonomies and inspection protocols.

12 · Contact

Talk to ABAY-GERMES

For partnerships, pilots, financing discussions or technical questions.

Location
Almaty, Kazakhstan