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    Create intelligent AI agents with Vertex AI Agent Builder and Google Cloud-native orchestration.

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    GCP Vertex Agent Builder services for enterprise AI automation

    Build and deploy robust AI agents with Vertex AI ADK and Agent Engine to automate operations, improve decision-making, and scale securely on Google Cloud.

    • Modular multi-agent architecture with Vertex ADK
    • Cloud-native deployment and performance monitoring
    • Governance-first design for enterprise reliability
    Vertex AI
    LangChain
    Kubernetes

    Trusted by global innovators

    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve
    Benchmark
    Chibasco
    Fundency
    Lantimer
    Lauren
    Lera
    One Minute
    Pento Pix
    TAP
    Xtrium
    Healthevolve

    Building AI Agents with Vertex AI Agent Builder

    We create intelligent, enterprise-ready agents with Google Vertex AI ADK and Agent Engine to automate complex operations.

    Agent development with ADK

    Build modular single- and multi-agent systems using Vertex ADK, reusable tools, and Agent Garden assets for faster delivery.

    Deployment with Agent Engine

    Deploy agents on Google Cloud infrastructure for reliable execution, horizontal scalability, and resilient production performance.

    Observability and security framework

    Track behavior, evaluate output quality, and govern access with full visibility into agent operations and risk controls.

    Features of Models Built with Vertex AI Agent Builder

    Vertex AI-powered agents combine enterprise integrations, advanced reasoning, and production-grade safeguards.

    Data access and search

    Connect to enterprise knowledge through Vertex AI Search for context-rich responses.

    Workflow automation

    Blend structured workflows with LLM reasoning to orchestrate cross-system business processes.

    Multimodal intelligence

    Process text, images, and data together for more complete analysis and automation.

    Google integration

    Integrate natively with BigQuery and broader GCP services for secure data operations.

    Built-in evaluation

    Test quality, task completion, and execution reliability against business scenarios.

    Building secure agents

    Apply policy controls, safety layers, and governance patterns for trusted AI operations.

    AI Agents Use Cases Across Industries

    Implement agentic systems that streamline operations, support teams, and improve outcomes across key verticals.

    Healthcare

    • Autonomous medical coding and billing
    • Personalized treatment recommendations
    • Clinical workflow automation
    • Medical data triage and routing

    FinTech

    • Automated fraud detection and response
    • Personalized financial advisory
    • Loan underwriting optimization
    • Regulatory compliance checks automation

    Education

    • AI tutors for personalized learning
    • Assignment grading automation
    • Real-time engagement tracking
    • Curriculum planning support

    E-commerce

    • Conversational AI for product discovery
    • Inventory and demand forecasting
    • Automated pricing strategy
    • Post-purchase experience management

    Travel & Hospitality

    • AI agents for itinerary planning
    • Dynamic pricing and yield optimization
    • Guest service automation
    • Operational task management

    How We Create AI Agents with Vertex AI

    We follow a structured, result-driven process to design, implement, and optimize Vertex AI agents for business value.

    Discovery & planning

    Define automation goals, business priorities, and target use cases where Vertex AI agents can deliver the highest impact.

    Book a consultation

    Key outcomes:

    Agent role definition

    Agent integration map

    Core feasibility metrics

    AI delivery roadmap

    Use Vertex AI Agent Builder to deploy secure, scalable multi-agent systems that automate workflows and speed up high-value decisions.

    Boost your AI agent development with Google Cloud

    Start now

    We Are Technology-Agnostic

    With a diverse technology stack, we deliver solutions using a technology-Agnostic approach to meet your unique needs.

    Wireframe & Ideation

    User Experience

    Real-Time Projects

    PentoPix
    Lauren
    TAP
    SEAD
    Chibasco
    Lera Health
    OneMinuteAI
    Clever Frankie
    PentoPix
    Lauren
    TAP
    SEAD
    Chibasco
    Lera Health
    OneMinuteAI
    Clever Frankie

    Traditional Development vs. AI-Assisted Engineering

    By adopting AI-assisted development, you can significantly reduce team size and development costs while maintaining the same speed, quality, and reliability of delivery.

    Traditional development team

    FTE

    Business AnalystSolution ArchitectUI/UX DesignerProject ManagerBack-end EngineerFront-end EngineerQuality Assurance
    • Manual coding and rule-based logic for each feature
    • Full-time development team including all key roles
    • Predefined workflows and human decision-making
    Request full team

    AI-assisted engineering team

    FTE

    Solution ArchitectBack-end EngineerFront-end EngineerBusiness Analyst

    Part time

    UI/UX DesignerProject ManagerQuality Assurance

    AI Agents

    PlanningDesignCodeCI/CDTesting
    • Orchestrating AI agents to automate coding and optimization
    • Lean team using AI agents to expand development capacity
    • Faster delivery with adaptive, data-driven improvement
    Request AI-assisted team

    AI Tools We Use for Software Engineering

    We leverage advanced AI-powered tools and automation frameworks to accelerate the entire software development lifecycle.

    Coding copilots

    AI tools that assist engineers with code generation, refactoring, and documentation through contextual suggestions and inline reasoning.

    GitHub Copilot
    Claude Code
    Cursor
    Codex
    Bolt AI
    Replit

    AI agent frameworks

    Multi-agent frameworks that enable coding assistants and context-aware workflow orchestration across CI/CD pipelines.

    LangChain
    LangGraph
    Lovable

    Data analysis and big data processing

    Tools and systems for processing, analyzing, and transforming large unstructured datasets.

    Jenkins
    Harness
    CircleCI

    Infrastructure and orchestration platforms

    Cloud and containerized environments that host, secure, and monitor Artificial Intelligence-assisted workflows.

    Amazon Bedrock
    Azure ML Studio
    Google Vertex AI
    Docker
    Kubernetes

    Voices of Success

    We don't just build products; we forge lasting partnerships. See how we've helped industry leaders transform their vision into technical reality.

    Benchmark

    "I can clearly see how Agnotic has a unique way of handling end-to-end development. They are always active on quick chat and provide support quickly."

    Aaron Phelan

    Aaron Phelan

    Founder, Benchmark

    My Lauren

    "Agnotic is the best technical team we evaluated. Their engineering excellence made our work dramatically easier and allowed us to stay focused on what matters most for maternal care outcomes. They took full ownership of the technical execution, and we are always happy to continue working together."

    Kim Smith

    Kim Smith

    Founder, My Lauren

    Latimer

    "Agnotic combines deep technical expertise with strong domain knowledge. They understand the business context, anticipate challenges, and make collaboration smooth and effective."

    John Pasmore

    John Pasmore

    Founder, Latimer