Google AI and Vertex AI are powerful platforms from Google Cloud for implementing artificial intelligence. They transform business operations by automating complex workflows, increasing efficiency, and unlocking new opportunities for digital transformation.

Google AI and Vertex AI offer comprehensive solutions for integrating artificial intelligence (AI) into daily business processes, ranging from ready-to-use SaaS applications to a powerful platform for developing ML models of any complexity.

🌐 Vertex AI: Your Core Platform for AI Innovation

Vertex AI is your unified stack for the entire AI and ML journey, from data to deployment, meeting all needs in predictive, generative, and agentic AI. We provide tools for every skill level: from no-code to low-code and full-code.

You no longer need to piece together a puzzle of different tools or use disparate services. Vertex AI integrates everything you need: from data preparation and model training to production deployment and continuous monitoring.

With Vertex AI, the process of creating and using AI models at an enterprise scale is maximally simple, efficient, and fast, which lowers the barriers for AI and MLOps adoption.

One of the most powerful and time-saving advantages of Vertex AI is the Model Garden—a centralized, constantly updated catalog of ready-to-use machine learning models. Here you’ll find a wide range of models: from our own cutting-edge foundation models, like Gemini, to models from other leading developers and the extensive open-source community.

Use best-in-class AI search tools (RAG – Retrieval Augmented Generation) to enrich models with your own corporate data, ensuring the accuracy and relevance of responses.

Benefits of the Vertex AI Platform from Google Cloud

  • Increased Productivity for Data Specialists: “We aim to simplify and automate routine processes like data preparation, model development, and deployment. This frees up your data scientists to focus on more complex and valuable tasks.”

  • Faster Time-to-Insight: “Reduce the time from data acquisition to extracting valuable insights and deploying AI solutions that directly help solve business challenges.”

  • Optimized Model Performance and Cost: “Efficiently build and deploy models, maximizing their accuracy while minimizing infrastructure costs. This includes capabilities for training our own foundation models and fine-tuning open-source models.”

  • Improved Collaboration: “The platform enhances communication and collaboration between data science teams and other stakeholders, ensuring a seamless workflow.”

  • Ensured Model Reliability and Governance: “We give you the confidence to deploy models by guaranteeing their accuracy, reproducibility, and alignment with responsible AI principles.”

🤖 Ready-to-Use AI-Powered SaaS Solutions from Google: Instant access to advanced AI capabilities without deep technical expertise.

Gemini Assistant: Your Intelligent AI Brain Behind the Scenes.

Gemini is not just a model: it is the heart of our AI agents, capable of understanding and analyzing speech, video, commands, and documents just like a human. From contextual dialogue to interpreting multimedia data, Gemini provides advanced reasoning abilities, enabling agents to make decisions and act in real-time.

Google Agentspace: The Control Center for Your AI Agents.

This is an employee portal where AI agents become your colleagues. Agentspace combines the capabilities of Gemini, high-quality Google Search, and your corporate data (CRM, Salesforce, SAP, SharePoint, Jira, etc.), allowing employees to easily create, find, and manage agents.

You will be able to:

  • Use expert AI agents from Google: For example, for Deep Research or Idea Generation.

  • Create your own agents: From complex ones written by developers on Vertex AI to simple ones created by employees with no-code tools.

  • Integrate partner solutions: Through the Google Cloud Marketplace.

NotebookLM (Notebook): Your Smart Researcher.

An innovation from Google AI, available through Agentspace or Google Workspace. Instantly analyze, summarize, and generate content from your documents, accelerating research and data analysis.

Examples of Google AI in Real-World Scenarios

1. Build Next-Generation Intelligent Agents

Create AI agents that perceive and analyze speech, video, commands, and documents—just like a human. Thanks to powerful capabilities and multimodality, these agents can engage in dialogue, understand context, interpret visual and textual data, make decisions, and execute actions, all within a single system.

2. Engage with Live Scenarios in Real Time

Process audio and video in a streaming fashion: participate in online meetings, analyze calls, and execute voice commands. AI agents understand, react, and adapt as events unfold. Use this to automate customer support, internal communications, and process monitoring.

3. Integrate with Your Business Systems via Live API

The Live API provides access to streaming audio, video, and text processing with minimal latency.

This means your AI can:

  • Connect to a CRM or ERP in real time.

  • Synchronize with external services and APIs.

  • Trigger actions during a conversation or as an event is analyzed.

  • Scenarios include: smart assistants for sales teams, content moderation, quality control, automatic meeting transcription, and much more.

4. Recognition, Analysis, and Generation—Without Context Switching

Gemini 1.5 can process long sessions (30+ minutes), maintain context, and “remember” the user: their questions, preferences, and goals. This allows for the creation of a continuous, “live” AI experience where the agent becomes a full participant in the workflow and helps automate business processes.

5. Full Multimodality in Action

Utilize the power of a model that understands not only text but also charts, diagrams, maps, photos, document scans, and video. This opens the door to new levels of automation in legal, medical, manufacturing, and educational scenarios.

🔐 Google Cloud-Level AI Security: Protecting Your Data and Innovations

✅ Access and Role Control: Granular control over user permissions and roles.

✅ Data Privacy: Customer data is not used for training models.

✅ SynthID: A digital watermark is applied to all generated content.

✅ Compliance: Meets international security standards: ISO, SOC 2, GDPR, HIPAA.

✅ IP Indemnity: Google assumes responsibility for legal protection against copyright claims.

🌍 Why Choose Vertex AI + Gemini from Google

  • A unified platform for models, agents, and data.

  • Security, scalability, and flexibility for your business.

  • $300 in credits + free access to over 20 products.

  • Integration with Agent Engine, Model Garden, and Live API.

🤝 What You Get with Elcore

💳 Convenient Payment

Transactions in your local currency—under a standard contract and without foreign exchange risks.

⏳ Flexible Terms

Deferred payment for up to 25 days.

💼 Project Support

Assistance for pilot projects and access to Google funds.

📞 Expert Consultations

10 hours of free consultations every month.

🔧 Personalized Assistance

Solution design and launch support.

We provide complete turnkey solutions!

Our team of experts will handle the full implementation cycle of modern cloud and AI technologies for your business. From analysis and design to launch and support—we guarantee fast results and maximum return on investment.