Agentic & Generative AI PoC on AWS | LLM, RAG & Bedrock in 2–6 Weeks
Applify, Inc. · Customer Service
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
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.
Show the rest of the publisher’s description (17 more lines)
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](https://www.applify.co/artificial-intelligence-and-data)
Highlights
Highlighted by the publisher on AWS Marketplace.
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.
Agent build and provenance
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