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Google Cloud Partner

Google Gemini

Google Gemini, built into the systems you already run

Google Gemini is Google's family of generative AI models, available to businesses on Google Cloud. HabileLabs, a Google Cloud Partner and Gemini partner, does the AI application engineering around it, focused on production use cases: your data, your systems, permissions and monitoring.

  • Google Cloud Partner
  • Engineering for production use cases
  • Also an OpenAI and Anthropic partner
The letters AI drawn in glowing blue dots over a dark digital wave
GeminiConnected to your own data, workflows and applications.

Partners

One delivery team across Google Cloud, OpenAI, Anthropic, AWS and Microsoft.

  • 200+clients
  • 15+countries
  • 100+engineers
  • Google Cloud Partner
  • OpenAI Select Partner
  • Claude Partner Network
  • AWS AI Services Competency
  • Microsoft Solutions Partner

Model and system

Google provides Gemini. HabileLabs builds the working system around it.

Google Cloud provides the platform. HabileLabs builds what your business needs on top of it.

What Google Cloud provides

  • Enterprise AI and the Gemini ecosystem
  • Modern data and analytics platforms
  • Cloud-native application environments
  • Scalable cloud infrastructure built for changing workloads
  • Security, observability and operational capabilities

Model + system

What HabileLabs builds

  • AI application engineering focused on production use cases
  • AI agents and assistants embedded in real workflows and products
  • Secure integrations with CRM, ERP, documents, applications and business data
  • Grounded company knowledge, permissions and business rules
  • Monitoring, governance, fallback logic and production reliability

For infrastructure, data and application work on Google Cloud, see our Google Cloud services.

What we build

Six AI services that can run on Google Cloud

Each of these services lists Google Cloud among the platforms we deploy on.

  • Agents

    AI agents

    Agents that plan and carry out multi-step tasks through your APIs, with human review where decisions matter, deployed on AWS, Azure or Google Cloud.

    AI agent development
  • LLM development

    Models grounded in your data

    Models fine-tuned for your domain or grounded in your documents with retrieval-augmented generation (RAG), and run with monitoring and governance on Azure, AWS or Google Cloud.

    LLM development
  • Conversational AI

    Chat and voice assistants

    Chatbots and voice assistants grounded in your own content, with speech services such as Google speech-to-text and IVR integration.

    Conversational AI
  • Data engineering

    Data ready for AI

    Data architecture, integration and ETL pipelines, and big data processing and streaming on AWS, Azure and Google Cloud.

    Data engineering
  • AI strategy

    Use cases ranked first

    Readiness, a roadmap with milestones and KPIs, the choice of stack and governance, settled before any model is built.

    AI strategy
  • GenAI consulting

    A proof of concept before the build

    A prioritized roadmap with KPIs, an architecture for the top use case and a validated proof of concept, with MLOps on platforms that include Google Cloud AI.

    GenAI consulting

Start with a free AI readiness assessment to see where Gemini fits.

How a project runs

From discovery to production in four stages

We test the critical use case before full-scale development, then stay with the platform once it is live.

  1. Discovery

    We assess your systems, data and business processes to find high-impact AI opportunities, identify technical gaps and define success metrics.

  2. Proof of concept

    We test the critical use case, such as a chatbot, an AI copilot or an automation workflow, before full-scale development.

  3. Minimum viable product

    We build a scalable MVP that validates the concept and lays the foundation for production.

  4. Platform support and scale

    We provide platform support, system integration and managed services, up to full-scale production.

Keep exploring

Other AI platforms and partner programmes

  • Google Cloud

    Modernize infrastructure, connect enterprise data and put AI to work on Google Cloud, in the systems you already run.

    Google Cloud services
  • OpenAI

    OpenAI capabilities turned into implementation paths built for production, from an OpenAI Select Partner.

    OpenAI services
  • Anthropic Claude

    Claude agents, enterprise knowledge and code modernization, from a Registered Partner in Anthropic's Claude Partner Network.

    Claude Partner Network
  • AWS AI services

    Amazon Bedrock, Amazon SageMaker and agents on AWS. HabileLabs holds the AWS AI Services Competency, awarded 12 September 2025.

    AWS AI services
  • Microsoft Azure AI

    Azure OpenAI, AI Search and Document Intelligence built into your Microsoft stack, and Microsoft 365 Copilot from a 30-day trial.

    Azure AI services
  • AI case studies

    Our published AI results in one place: agents, generative AI and document AI.

    AI case studies

Gemini FAQs

Google Gemini with HabileLabs: common questions

What Gemini is, what HabileLabs adds, how a project starts and what we can show.

Gemini is Google's family of generative AI models, available to businesses on Google Cloud. HabileLabs builds the applications, integrations and controls that put it to work in a business.

Yes. HabileLabs is a Google Cloud Partner and a Gemini partner. We bring enterprise AI and the Gemini ecosystem on Google Cloud together with AI application engineering focused on production use cases.

HabileLabs is an OpenAI Select Partner and a Registered Partner in Anthropic's Claude Partner Network, holds the AWS AI Services Competency, awarded on 12 September 2025, and is a Microsoft Solutions Partner: Data and AI, Infrastructure, Digital and App Innovation. Choosing the stack for each use case is part of our AI strategy work.

Yes. We build secure integrations with CRM, ERP, documents, applications and business data, and ground answers in your company knowledge, permissions and business rules.

With a free AI readiness assessment or a free first consultation: you share your business challenges and AI goals, and we identify high-impact use cases. We then test the critical use case with a proof of concept before full-scale development.

We have no published Gemini case study. Our published AI results, such as iSEEit's agents on Amazon Bedrock, ran on other platforms.

Next step

Find out where Gemini fits in your business

Tell us the work you want AI to take on. We start with one high-impact use case and test it before full-scale development.

  • Google Cloud Partner
  • Free AI readiness assessment
  • One team, fewer handoffs

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