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XD Generative AI Implementation with Amazon Bedrock & SageMaker

Xal Digital USA · Cybersecurity & IT

No attestation published

Certification per AWS Marketplace.

Provenance reach3 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownProfessional service
ProvenanceUnknown33% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

The XD Generative AI Solution Implementation delivers a structured, end-to-end engagement for designing and deploying production-ready Generative AI applications on AWS. Purpose-built for product, operations, and customer-facing teams, this professional services offering enables organizations to move from GenAI experimentation to measurable business outcomes by implementing scalable, secure, and well-architected solutions using Amazon Bedrock and Amazon SageMaker.

XalDigital designs modular GenAI architectures leveraging retrieval-augmented generation (RAG) patterns with Amazon OpenSearch Service and Amazon Bedrock Knowledge Bases, enabling context-aware AI responses grounded in enterprise data. AWS Lambda powers serverless inference and API integration, while Amazon S3 provides the document storage foundation for intelligent processing pipelines. All solutions apply prompt engineering best practices, guardrail configuration, and enterprise security controls via AWS IAM and Amazon Cognito.

Show the rest of the publisher’s description (1 more line)

Supported use cases include intelligent document analysis and summarization, RAG-based enterprise Q&A assistants, automated content generation for marketing and operations, semantic search over internal knowledge bases, and multimodal processing workflows. Each engagement follows a structured delivery approach covering use case definition, model selection, architecture design, integration, performance tuning, and user enablement. This product relates to the following AWS Services: Amazon Bedrock, Amazon SageMaker, AWS Lambda, Amazon OpenSearch Service, Amazon S3, Amazon Cognito, AWS IAM, Amazon CloudWatch, and AWS X-Ray.

Highlights

Highlighted by the publisher on AWS Marketplace.

XalDigital delivers fully architected, secure Generative AI applications—not MVPs. Solutions implement retrieval-augmented generation (RAG) using Amazon Bedrock and Amazon OpenSearch Service, grounding AI responses in your enterprise data. All deployments include guardrails, AWS IAM controls, and Amazon Cognito authentication for enterprise-grade governance.

Supports diverse GenAI use cases including intelligent document processing and summarization, conversational Q&A assistants, automated content generation, semantic search over knowledge bases, and multimodal workflows. Modular architecture enables rapid iteration and seamless integration with existing enterprise systems via REST APIs and AWS Lambda.

As an AWS Premier Tier Partner with GenAI Competency, XalDigital provides a structured implementation lifecycle—use case definition, model selection, architecture, integration, tuning, and go-live. Certified AWS solutions architects and AI specialists accompany every engagement, ensuring solutions are aligned to AWS Well-Architected principles and ready for enterprise scale.

Agent build and provenance

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Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource

Linked repositories

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Pricing
Unknown
Not stated
Delivery
Professional service
Support Contact dispatch@xaldigital.com XalDigital provides the following support levels for this solution: • Use Case Workshop: Collaborative discovery to define GenAI use cases, data sources, and success criteria. • Implementation Support: AWS-certified GenAI specialists for architecture design, Bedrock configuration, RAG pipeline setup, and integration. • Post Go-Live Hypercare: 15 business days of stabilization including model tuning, prompt optimization, and performance monitoring. • Extended Support (separate contract): Ongoing model updates, new use case onboarding, SLA-based incident response, and feature enhancements. • Documentation: Architecture documentation, prompt engineering guides, and user enablement materials included.
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