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    Agentic & Generative AI PoC on AWS | LLM, RAG & Bedrock in 2–6 Weeks

     Info
    Quickly validate and deploy high-impact Agentic AI and Generative AI use cases with a production-ready PoC built on AWS. Rapid LLM, Bedrock & ML Prototype Development with Scalable Production-Ready Architecture & Production Roadmap

    Overview

    Applify’s AI PoC (Proof of Concept) Service enables organizations to rapidly design, build, and validate AI and Generative AI use cases using AWS-native services. This offering is designed to help enterprises move beyond ideation and experimentation by delivering a working prototype within weeks, backed by scalable architecture and a clear path to production. Leveraging services like Amazon Web Services AI/ML ecosystem-including Bedrock, SageMaker, and serverless data pipelines-Applify builds PoCs that are not just demos, but production-aligned solutions.

    What You Get:

    • End-to-End AI/GenAI PoC Development (2–6 weeks)
    • LLM Integration & Prompt Engineering (chatbots, summarization, search, automation)
    • Custom Model Development or Fine-tuning (if required)
    • Data Pipeline Setup (ingestion, transformation, storage)
    • Scalable AWS Architecture following best practices
    • PoC Demo + Performance Evaluation Metrics
    • Production Rollout Roadmap & Cost Estimation

    Example Use Cases:

    • Enterprise Chatbots & Virtual Assistants
    • Intelligent Document Processing & Summarization
    • Semantic Search & Knowledge Retrieval (RAG)
    • AI-powered Recommendations & Personalization
    • Predictive Analytics & Forecasting
    • Image & Video Analysis (multimodal AI)

    Know More 

    Highlights

    • Expertise in LLMs, RAG, and Generative AI solutions with fully AWS-native architecture (Bedrock, SageMaker, Lambda). Build and validate AI use cases in 2–6 weeks
    • Seamless transition from PoC to production deployment with Measurable outcomes with KPIs and success metrics
    • Secure, compliant, and enterprise-ready implementations. Ideal for rapid innovation and stakeholder buy-in.

    Details

    Delivery method

    Deployed on AWS
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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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