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Practical Enterprise AI
for Armenian Teams

Put AI to work across departments - from Gemini Enterprise to purpose-built Vertex AI models - all running on Google Cloud infrastructure and shaped around how your teams already operate.

client satisfaction

Gemini Enterprise · AI Agent
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<1s

Latency

99.9%

Uptime

30+

Projects

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What our team delivers

We stay with you from the first workshop to a running system, drawing on Google's current AI stack at every stage.

Chatbots and Virtual Assistants

Gemini Gemini

AI-Driven Business Intelligence

Gmail Gmail

Document Intelligence and Knowledge Management

Gemini Notebook Gemini Notebook

Autonomous AI Agents

Meet Meet

Conversational AI and Chatbots

Docs Docs

AI Business Intelligence

Sheets Sheets

Three steps from raw data to a decision you can act on

Chatbots and Virtual Assistants

Gemini-powered assistants that field customer questions, run internal helpdesks, and hold their own through long, multi-turn conversations.

AI-Driven Business Intelligence

Put questions to your data in plain language through BigQuery ML and Looker, and let insights surface without anyone writing SQL.

Document Intelligence and Knowledge Management

Pull the facts out of contracts, PDFs, and long documents automatically using Gemini Notebook and Document AI.

1M+

AI queries handled each month

<1s

typical AI response time

99.9%

platform availability

30+

enterprise AI rollouts delivered

How It Works

Three steps from raw data to a decision you can act on

Conversational AI and Chatbots

Roll out Gemini-based assistants that follow context, take on complicated requests, and plug straight into the tools you already run.

  • Natural language understanding in 40+ languages
  • Connects to your CRM, ticketing, and knowledge bases
  • Hands off to a human agent with the full conversation attached
  • Dashboard tracking conversation quality and resolution rates
Query resolution rate 80%
Build your chatbot

Questions about enterprise AI

Privacy

Often not. Chatbots, document summarization, and content generation work with Gemini out of the box, no training data required. Fine-tuning a custom model does need data, and we help you work out exactly how much.

Security

Vertex AI Agent Builder with tool-use and RAG

Compliance

Audit logs, access controls, and IAM integration

Use Cases

Where AI earns its keep

Concrete deployments that move real numbers for organizations across the region.

Retail and E-commerce

Sharper Customer Experience

Tailored product recommendations, AI support chat, and demand forecasting that trims inventory waste by as much as 30%.

Financial Services

Risk and Compliance, Handled

Automate document review, fraud detection, and regulatory reporting with AI that keeps a complete audit trail throughout.

Healthcare

Clinical and Administrative AI

Ease the paperwork load with AI-assisted documentation, scheduling, and clinical decision support - all HIPAA-compliant.

Legal and Professional Services

Contract Intelligence

Summarize contracts, surface key clauses, flag risks, and produce first-draft agreements in a fraction of the usual time.

FAQ

Questions about enterprise AI

The points companies raise most often before they commit to an AI rollout.

Speak with an AI specialist

It does not. With Vertex AI and the Enterprise AI features in Google Workspace, your content is never fed back into Google's base models. Everything runs inside your own private environment.

Gemini is Google's frontier model, reachable through an API and built directly into Workspace. Vertex AI is the enterprise MLOps platform where you run Gemini, fine-tune your own models, and ship production pipelines. Most projects use both, and we cover each.

Often not. Chatbots, document summarization, and content generation work with Gemini out of the box, no training data required. Fine-tuning a custom model does need data, and we help you work out exactly how much.

Straightforward integrations such as chatbots or Gemini inside Workspace can launch within days. Custom agents and full ML pipelines usually run 4–12 weeks. We open every engagement with a proof-of-concept so value shows up early.

Let's put enterprise AI into production

Request a no-cost AI readiness review and a roadmap built around your systems.