Sold by: phData
phData helps organizations design, build, and deploy production-grade generative AI applications on AWS using Amazon Bedrock. This offering provides a repeatable foundation for model orchestration, retrieval, prompt workflows, evaluation, guardrails, and enterprise integration so teams can move from experimentation to governed production faster.
Overview
phData’s Enterprise Generative AI on Amazon Bedrock offering is a generic foundation for building and scaling AI applications on AWS. The solution is designed for organizations that want to move beyond isolated pilots and establish a repeatable pattern for model inference, retrieval, orchestration, evaluation, and production observability using AWS-native GenAI services.
phData works with customer teams to define the target architecture, integrate enterprise data and APIs, implement prompt and model-routing patterns, and deploy the quality controls required for real-world production use. Typical implementations include Amazon Bedrock foundation models, Amazon Titan Embeddings, knowledge retrieval patterns, model evaluation workflows, guardrails, and supporting AWS infrastructure such as Lambda, IAM, and VPC networking.
This offering is intentionally use-case agnostic. It can support document intelligence, knowledge assistants, conversational search, workflow automation, recommendation experiences, and research or extraction pipelines. Internally, phData already maps Bedrock to patterns such as evaluations, knowledge bases, Bedrock Agents, and Bedrock-native extraction and research workflows, which makes the offering broadly applicable across customer-facing and internal use cases.
Highlights
- Establish a Production-Ready Bedrock Foundation — Deploy a repeatable AWS-native architecture for model inference, retrieval-augmented generation, and governed production deployment, so organizations can launch secure, scalable GenAI workloads with a clear path to measurable AWS consumption and business value.
- Accelerate Enterprise GenAI Delivery — Integrate enterprise data, APIs, and prompt workflows into a production-ready Bedrock architecture with model routing, fallback patterns, token reduction strategies, and prompt experimentation that reduce time-to-production and optimize cost and performance.
- Build Trust with Evaluation and Guardrails — Improve AI quality and reliability with guardrails, regression testing, scorecards, and evaluation pipelines that measure correctness, faithfulness, and business outcomes — enabling long-term adoption backed by architecture documentation and knowledge transfer for internal teams.
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Email: sales@phdata.io
Web: phdata.io/contact-us/