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TEQ World

TEQ — digital systems for government and business

We design digital systems for government and business

We combine domain expertise, software engineering, integration, data and artificial intelligence — from the idea to a working solution.

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GovernmentBusinessCitizensDataSoftware productsInfrastructureAIAI agents
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Confirmed figures

We publish only figures confirmed by TEQ.

In operation
since 2018
Delivered projects
50+
Regions
all regions of Kazakhstan
Systems in production
20+
System users
50,000+
Industries
8
Support SLA
24/7

Three core directions

Government, business and software engineering

Every direction rests on the same engineering base: architecture, integration, data and the intelligence layer.

  • Public sector

    GovTech, digital services, citizen requests, contact centres, budgeting, Smart City, public safety and video analytics.

    • Digital public services and a service-first approach
    • Citizen requests and a unified contact centre
    • Budget processes and public participation
    • Public safety and video analytics
    • Smart City and situational centres
    • Inter-agency integration and data exchange
    Learn more

  • Private sector

    Process automation, CRM, enterprise platforms, analytics, information system integration and IT outsourcing.

    • End-to-end process automation
    • CRM and a single customer profile
    • Enterprise platforms and portals
    • Analytics and management reporting
    • IT landscape and API integration
    • IT outsourcing and support
    Learn more

  • Software engineering

    Custom web and mobile systems, product development, architecture, APIs, integrations, Data & AI, DevOps and support.

    • Architecture and design
    • API-first and microservices
    • Automated and load testing
    • CI/CD, DevSecOps and observability
    • Data, analytics and AI
    • Support and evolution
    Learn more

TEQ Intelligent Solutions

TEQ solutions

Not a list of separate products, but a connected technology ecosystem with a shared AI layer and shared integration principles.

The full ecosystem
  • In productionAI module available

    Project management system

    A single perimeter for planning, assignments and portfolio reporting.

    Challenge
    Project data lives in spreadsheets, emails and slide decks. Statuses are updated manually, risks surface late and assignments get lost.
    Digital core
    Unified registry of projects and portfoliosHierarchy of goals, phases, tasks and assignmentsSchedules and deadline control
    Industry
    Public administration · Quasi-public sector · Enterprise
    Learn more
  • In productionAI module available

    Unified contact centre

    A single intake point for citizen and customer requests across all channels with SLA control.

    Challenge
    Requests arrive through disconnected channels and are tracked separately. Topics are set manually, routing takes time and answer quality varies.
    Digital core
    Omnichannel request intakeUnified request cardClassification and routing
    Industry
    Public administration · City services · Service companies
    Learn more
  • In productionAI module available

    Digital budgeting

    Budget planning, approval and execution control in one process.

    Challenge
    Requests come in different formats, justifications are scattered, deviations surface after the fact and scenario analysis is manual.
    Digital core
    Budget request registryApproval routesLink between request, justification and document
    Industry
    Public administration · Quasi-public sector
    Learn more
  • In productionAI module available

    Digital checkpoint

    Digital document and request processing at control points with completeness checks.

    Challenge
    Document checks are manual, criteria are interpreted differently and the applicant learns about a missing document too late.
    Digital core
    Request intake and registrationDocument recognition and parsingCompleteness checklists
    Industry
    Public administration · Transport and logistics · Public safety
    Learn more
  • In productionAI module available

    Ashyq Ukimet service akimat

    A service akimat platform: services, requests and feedback in a single window.

    Challenge
    Service information is scattered across sources, the required documents are unclear and service quality is measured irregularly.
    Digital core
    Service catalogue with descriptions and requirementsSingle window for requestsSmart queue
    Industry
    Regional administration · City services · Public services
    Learn more
  • In productionAI module available

    Customer relationship management system

    A single customer profile, communication history and a managed deal cycle.

    Challenge
    Communication history sits in mailboxes and messengers, tasks get lost and deal probability is judged subjectively.
    Digital core
    Single customer profile (Customer 360)Cross-channel communication historyDeal funnel and stages
    Industry
    Enterprise · Services · Retail
    Learn more

TEQ Intelligence Layer

An intelligence layer for digital systems

We connect secured AI agents to documents, data, APIs and information systems. Agents help employees analyse information, perform permitted operations and keep processes under control.

The path from data to the employee

  1. 1DataDocuments, registries, databases, event streams, video and source APIs.
  2. 2Knowledge baseA secured knowledge base with access control and versioning.
  3. 3ModelModel Gateway: the right model per task, quotas, private perimeter.
  4. 4AI agentAn agent with a role, instructions, constraints and audited actions.
  5. 5ToolsPermitted tools: search, calculation, API calls, MCP servers.
  6. 6Information systemWriting the result back through controlled interfaces.
  7. 7EmployeeAn authorised employee reviews and confirms the decision.

What the platform layer includes

  • Agent OrchestratorManages agent roles, step sequencing and task handover between agents.
  • Enterprise RAGRetrieval and answer generation over corporate documents, respecting the user's access rights.
  • Защищённая база знанийA store of approved materials with versioning, sources and validity periods.
  • Model GatewayA single entry point to models: task routing, quotas, cost control and private perimeter.
  • API GatewayControlled access for agents and external systems with authentication and rate limits.
  • MCP-серверыConnecting tools and data sources to agents over a standardised protocol.
  • A2A-интеграцииAgent-to-agent interaction with fixed contracts and audit logging.
  • Инструменты и API агентовThe list of permitted operations: search, calculations, reads and writes to information systems.
  • Identity and Access ManagementA single rights model: an agent acts only within the user's or role's authority.
  • ЖурналированиеAn immutable trail of requests, answers, sources used and operations performed.
  • Human-in-the-loopMandatory human confirmation points for accountable operations.
  • AI ObservabilityObservability of quality, latency, cost and tool usage frequency.
  • AgentOpsAgent operations: versions, releases, regressions, incidents and on-call.
  • GuardrailsConstraints on topics, actions and data, including prompt injection protection.
  • Evaluation pipelinesTest sets and metrics that gate the release of an agent version.
  • Защита персональных данныхMasking, minimisation and control over personal data passed to models.
  • Казахский и русский языкиTwo-language support in voice and text scenarios, including domain terminology.
  • On-premise и private cloudDeployment inside the client's perimeter, including closed network segments.
How we deploy AI

Services

Nine full-cycle service groups

From a digital maturity audit to system operations and AgentOps as a Service.

Service catalogue

Projects and case studies

Selected projects

Every case follows the same structure: context, challenge, solution, team role, architecture, technology, deployment and a confirmed result.

Project catalogue

Full delivery cycle

From research to long-term support

One process with fixed artefacts at every stage.

  1. 1ResearchWe study processes, constraints, regulations and data.
  2. 2RequirementsWe fix functional and non-functional requirements.
  3. 3ArchitectureWe design the target architecture, integrations and data model.
  4. 4UX/UIWe design scenarios, interfaces and accessibility.
  5. 5DevelopmentWe build in iterations with working demos.
  6. 6IntegrationWe connect adjacent systems, APIs and data sources.
  7. 7TestingFunctional, load, integration and security testing.
  8. 8LaunchDeployment, data migration and user training.
  9. 9SupportSupport, evolution, SLA and cost of ownership.

Technology architecture

How TEQ systems are built

Architecture layers: interaction channels, business logic, AI and agents, integration and APIs, data, infrastructure and end-to-end security.

Select a layer to see what it contains

Interaction channels

Web portals, personal accounts, mobile apps, contact centre, chat channels, kiosks and operator workplaces.

Education

Certification on the AIKEY platform

Grow professional skills with the AIKEY platform. Training is built around practice and real project work.

Go to certificationVerify a certificate
  • Training built around practical assignments
  • Experienced instructors at every stage
  • Work on real projects and applied tasks
  • A certificate confirming the competencies gained

Solution and AI capability statuses

We separate what already works from what is proposed. A status is assigned only after TEQ confirms it.

Values in square brackets are placeholders. They are filled in once TEQ confirms the actual figures.

  • ImplementedThe capability is implemented in the product.
  • In productionThe system is running at a customer site.
  • AI-readyThe architecture is ready for the AI layer.
  • AI module availableThe AI module is built and connected separately.
  • Available for pilotA limited pilot deployment is possible.
  • In developmentThe capability is under development.
  • Development conceptA development direction that requires further work.

Have a challenge that needs to become a working system?

Tell us about the project — the TEQ team will propose a possible format for research, development or deployment.

Discuss a projectContact us