ELTOV-owned GPU infrastructure
Dedicated GPU resources support direct operation of AI models and inference workloads with performance and policies designed for each service.
elTOV AI INFRA · OWNED GPU · AGENTIC AI
Proprietary EAI infrastructure built for real-world AI services
EAI (elTOV AI Infra) connects models, knowledge, voice interfaces and executable actions on elTOV-owned GPU infrastructure. Rather than relying on a single external AI API, it configures models around service goals, security and response needs, then connects deployment and operations through AIR Platform.
Multi-model orchestration
An LLM Gateway connects commercial, open-source and domain-specific models, selecting the right intelligence for each request and environment.
Domain knowledge and RAG
Store, facility, operational and spatial data become searchable knowledge that grounds responses and actions in real field information.
Voice and multilingual interfaces
STT, TTS and multilingual processing enable natural conversational experiences across kiosks, mobile devices and consultation settings.
Agentic execution layer
AI moves beyond answers to control interfaces and complete wayfinding, lookup, ordering, booking, payment and connected-device actions.
Integrated operations through AIR
AIR Platform manages AI knowledge, service settings and device health in one flow for deployment, monitoring and incident response.
EAI TECHNOLOGY STACK
Connected from infrastructure to real-world execution
EAI operates as one technology system: GPU infrastructure runs intelligence, models and knowledge are orchestrated, requests become service actions, and AIR keeps the entire experience operational.
- 01 · INFRAOwned GPU Infrastructure
ELTOV-owned GPU resources and service-specific runtime environments
- 02 · INTELLIGENCELLM Gateway · Multi Model
Orchestration across commercial, open-source and domain models
- 03 · KNOWLEDGERAG · Spatial Data
Location-specific knowledge, spatial and operational data retrieval
- 04 · INTERFACESTT · TTS · Multilingual
Voice, multilingual and multimodal user interfaces
- 05 · ACTIONAgentic UI · IoT Control
Execution from guidance to transactions and device control
- 06 · OPERATIONSAIR Platform
Unified deployment, monitoring, permissions and logs
AI SERVICE FLOW
AI that understands, decides and acts in the field
EAI interprets each request, finds grounded knowledge, orchestrates the right model and completes the experience through interfaces and connected devices.
Understand the request and context
Combine voice or text input with the current screen, user language and spatial context to define intent.
Orchestrate models and knowledge
The LLM Gateway selects an appropriate model and combines current operational knowledge through RAG to generate a grounded response and action plan.
Execute and record operations
Control interfaces and devices to complete the request, then connect results and logs to AIR Platform for continuous operations.
TECHNOLOGY VALUE
Controlled, adaptable and continuously improving
Direct control over the infrastructure and AI service layers supports flexible model evolution while preserving the performance and data practices required in the field.
Data and operational control
Design data flows and model policies around the requirements of each project.
Field-ready performance
Optimize models and runtime environments for stable, responsive service.
Domain specialization
Continuously improve AI with workflows and knowledge from retail, public, transit and healthcare settings.
Sustainable AI operations
Manage model changes, knowledge updates, deployment and monitoring through one operational framework.