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Solution Brief

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GoodBed Turns a Static Mattress Quiz Into a Conversation with Amazon Bedrock

At a Glance

Cloudelligent built a conversational AI layer for GoodBed using Amazon Bedrock and retrieval-augmented generation. This gave shoppers a way to
ask questions and explore their mattress match instead of reading a one-time result.

The conversational AI layer was established to:

  • Add conversational depth to a quiz experience that previously ended with a single, static result.
  • Unify scattered product, review, and quiz data spread across Postgres, APIs, CMS content, and S3.
  • Keep every chatbot response grounded in GoodBed’s existing recommendation logic and vetted content.

Ovis Technologies Establishes Full-Stack Observability with AWS & Honeycomb

At a Glance

Cloudelligent implemented full-stack observability for Ovis Technologies using Honeycomb and OpenTelemetry. This gave real-time visibility into application performance and third-party dependencies.

The full-stack observability foundation was established to:

  • Detect third-party API failures before they affect production stability.
  • Reduce incident resolution time through instrumented, automated diagnostics.
  • Enable self-service troubleshooting with Honeycomb and OpenTelemetry.

WestCare Explores Patient Onboarding with a HIPAA-Aligned, Decoupled Digital Intake Proof of Concept

At a Glance

Cloudelligent developed a secure AWS POC demonstrating how WestCare could modernize patient onboarding through a decoupled digital intake framework while maintaining strict healthcare compliance.The proof of concept established a foundation to:

  • Support future remote patient onboarding and reduce manual intake efforts.
  • Protect the core EHR through a secure, decoupled digital intake architecture.
  • Enable scalable, HIPAA-aligned deployment with future EHR integration.

Healthcare Technology Company Optimizes Clinical Decision-Making with Generative AI

At a Glance

Cloudelligent built a secure Generative AI framework to transform fragmented patient data into actionable clinical insights for the healthcare technology company.

We helped them:

  • Implement serverless ranking to deliver 7 to 10 instant provider recommendations, eliminating manual lookups.
  • Leverage Generative AI reasoning to achieve a 4.4/5 clinical evaluation score and 100% clinical safety.
  • Deliver a scalable, production-ready MVP framework to support rapid market launch and future integrations.

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