Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
phData helps organizations turn working AI agent prototypes into secure, production-grade workloads on AWS using Amazon Bedrock AgentCore. This phased AgentCore Production Journey professional service establishes a repeatable agentic control plane that includes runtime, gateway, identity, memory, observability, and evaluation components, enabling teams to deploy and scale production AI agents faster on AWS while strengthening governance and reducing risk.
The phData AWS Platform Engineering Agent is an AI-powered data engineering copilot that automates the journey from a raw, unknown PostgreSQL database to a production-ready data product on AWS. Built on Strands, Amazon Bedrock AgentCore, Kiro, Claude Code, and the phData Toolkit, it discovers schemas at runtime, proposes Kimball star schemas, generates complete dbt projects, and builds a semantic layer without any manual mapping.
phData helps organizations design, build, and operationalize enterprise-grade applications powered by Anthropic Claude on Amazon Bedrock. We work with your teams to identify high-impact use cases, integrate Claude with your AWS environment, and implement the guardrails, evaluation, and governance needed to move from experimentation to production with confidence.
phData’s Clinical Intelligence Platform helps biopharmaceutical and biomedical device teams accelerate clinical trial development with eight AI-driven accelerators spanning protocol design, electronic data capture (EDC), statistical validation, regulatory intelligence, and enrollment risk. Deployed in the customer’s existing AWS environment through phData Forge™ sprints, the platform automates high-friction workflows such as converting protocol documents into EDC-ready drafts, validating statistical outputs against CDISC standards, and evaluating eligibility criteria against real-world population data.
phData’s Commercial Intelligence Platform helps biopharmaceutical and life sciences organizations operationalize AI across commercial, medical affairs, field excellence, and pharmacovigilance workflows. Eight purpose-built agents address documented bottlenecks in rep readiness, HCP and KOL engagement, scientific exchange, medical-affairs insight synthesis, and adverse-event signal detection.
Designed to deploy in the customer’s existing AWS environment and connect to existing Veeva, Snowflake, or cloud infrastructure, the platform adds production-oriented intelligence without requiring a CRM or core data-system replacement. phData delivers each agent through phData Forge™ sprints, with scope and timing tailored to the customer’s environment and priority workflow.
Our Open Intelligence Architecture for the financial services industry is an AI-native, consulting-led solution from phData that helps banks modernize fragmented data estates into a unified, AI-ready cloud platform across AWS, Snowflake, and/or Databricks. By combining open table formats on Amazon S3 (Apache Iceberg) with a governed intelligence layer and FinOps-first design, it enables real-time risk, fraud, and customer intelligence while reducing total cost of ownership.
phData’s Sales Next Best Action AI Agent captures the expertise of your top sales performers and delivers context-aware recommendations for every deal, directly within Slack or Microsoft Teams. Built on Amazon Bedrock (Strands Agents) and AWS SageMaker, the solution ingests CRM and engagement data, applies agentic reasoning, and provides actionable guidance, including call plans, agendas, and email drafts. This continuous intelligence loop enables sales teams to close performance gaps, accelerate deal cycles, and shift from reactive analysis to proactive execution.
The first-to-market, enterprise-grade GenAI procurement automation solution built entirely on AWS enables end-to-end vendor ordering with no human intervention. It eliminates repetitive, error-prone tasks such as logging into vendor portals, adding items to carts, entering shipping/payment details, and submitting orders, streamlining the entire procurement process.
