Clinical Genomics Flow by Provectus

Clinical Genomics Flow is an AI-powered genomics data operations platform built on AWS that helps pharma and clinical-genomics organizations unify fragmented multi-vendor genomics data and accelerate downstream analytics through automated normalization, analyst-grade query workflows, and AI-assisted cohort investigation. Leveraging Amazon Bedrock, retrieval-augmented generation (RAG), AWS HealthOmics, and MCP-enabled integrations, the solution connects assay outputs, instrument data, genomics pipelines, and downstream reporting systems to deliver explainable, scalable genomics intelligence across the clinical research lifecycle.

The platform automates the labor-intensive tasks traditionally associated with genomics data operations, including ingesting heterogeneous assay outputs, normalizing vendor-specific schemas into a unified data foundation, enabling cohort and assay-level analytics, and supporting natural-language interaction with genomics datasets. By replacing fragmented vendor-specific stacks and brittle query layers with a portable AWS-native architecture, Clinical Genomics Flow enables analysts, translational research teams, and AI agents to move faster from raw genomics output to actionable insight while reducing dependence on proprietary third-party platforms.