01
AI Agents
We design scenarios in which a system analyses a request, uses permitted tools and helps complete business tasks under human control.
Explore the practice ↗01Task
02Context
03Plan
04Permission check
05Approval
06Result
ARTAS / AI ENGINEERING
We build artificial intelligence for real business needs.
We design AI agents, private intelligent systems and automation. We connect models, company data and workflows into controlled solutions.
Technology collaboration ↗AI AGENTSPRIVATE AIAI SYSTEMS
ARTAS CORE 01
SCROLL TO EXPLORECORE / ONLINE
01 / WHAT WE BUILD
AI should not remain a separate chat. It should solve tasks.
From company knowledge to controlled AI agents and workflow automation.
02
Private AI
We assess deployment of models within company infrastructure according to data, hardware and operating requirements.
Explore the practice ↗01Documents
02Data preparation
03Knowledge index
04Local model
05Answer with sources
03
AI Automation
We connect models, rules and APIs to reduce repeated operations and keep the outcome verifiable.
Explore the practice ↗01Event
02Data
03Model
04Rules
05Verification
06Result
04
AI Infrastructure
We design the compute foundation for AI systems: Linux, GPU, servers, storage, networks and operational tooling.
Explore the practice ↗01Compute
02Storage
03Network
04Model
05Application
02 / INTERACTIVE SYSTEM
See how an intelligent system can work.
Switch between scenarios and stages: the diagram shows the logic, controls and expected type of outcome.
ACTIVE STAGEDocument intake
Approved documents enter the preparation boundary.
DEMO / CONTROLLED
ACTIVE STAGERequest
The user states the task and expected outcome.
DEMO / CONTROLLED
ACTIVE STAGESource document
A document is accepted in an agreed format.
DEMO / CONTROLLED
Interactive demonstration of a working principle. Not connected to operational systems.
03 / SYSTEM ARCHITECTURE
From data to a controlled outcome.
An intelligent system is more than a model. Data, context, integrations, permissions, verification and operations all matter.
Documents, databases and approved sources
Information selected for the current task
Analysis and generation component
Only permitted APIs and functions
Permissions, approval and verification
A verifiable action or prepared answer
04 / HUMAN CONTROL
Intelligent systems must remain controllable.
Technology is useful when its permissions, data sources and result checks are understood.
Bounded permissions
AI receives access only to agreed functions and data sources.
Human confirmation
Critical actions require approval from a responsible user.
Logging
The architecture is designed so actions and decisions can be reviewed.
Controlled deployment
The deployment model reflects confidentiality, hardware and business requirements.
05 / DELIVERY
From a business need to a verifiable outcome.
01/ 05
Requirement
We define the process, users, data sources and expected outcome.
Architecture
We select models, components, infrastructure and access boundaries.
Pilot
We test a bounded scenario, quality, errors and resource requirements.
Integration
We connect the solution to operational systems after rules are agreed.
Control
We document limitations, verify outcomes and define support.
06 / AI INFRASTRUCTURE
Intelligent systems need an engineering foundation.
Models, data and applications require properly selected infrastructure. Performance, security and operating cost depend on architecture, not model size alone.
Explore the practice ↗ARTAS / COMPUTE STACK
APPLICATION
MODEL
NETWORK
STORAGE
COMPUTE
07 / TECHNOLOGY COLLABORATION
A space for technology collaboration.
We welcome discussions with manufacturers of compute hardware, GPU systems, storage and infrastructure software. We focus on technologies that can be evaluated against a practical requirement and integrated into projects in Kazakhstan.
Discuss collaboration↗KAZAKHSTAN
43.2380° N
76.8829° E
76.8829° E
- Server hardware
- GPU
- AI Workstations
- Storage systems
- Network equipment
- Infrastructure software
- Private AI solutions
- 01Technical introduction
- 02Compatibility assessment
- 03Pilot project
- 04Joint solution design
- 05Deployment discussion
- 06Post-deployment support
ARTAS / START
Have a task for artificial intelligence? Let us start there.
Tell us which process you want to improve, which systems you use and what outcome you expect. We will identify a possible first step.
ARTAS CORE 01