Overview
BioCanvas is a multimodal intelligence accelerator built for healthcare and life sciences organizations that need to turn fragmented data into actionable decisions. It unifies structured data, clinical notes, PDFs, medical images, audio, and video into a single searchable canvas, enabling users to move from data to insight to action faster across clinical, medical, and commercial workflows. Powered by Vespa AI’s hybrid search, vector search, and reranking capabilities together with Reveal HealthTech’s proprietary multimodal AI framework, BioCanvas supports use cases such as clinical trial recruitment, trial performance monitoring, medical scientific engagement, and commercial intelligence.
BioCanvas helps organizations search and reason across multiple data modalities at once—for example, combining patient records, physician notes, and imaging data to identify eligible trial participants, or bringing together market reports, social signals, and commercial materials to understand brand performance. The solution is designed to surface explainable, high-value signals that are often missed when teams rely only on structured data or generic search tools. Because BioCanvas is deployed securely in the client’s own cloud environment, it supports enterprise needs for security, scalability, and workflow flexibility without requiring a rip-and-replace of existing systems.
This solution relates to and leverages the following AWS Services: Amazon EC2 (for Vespa AI deployment), Amazon Bedrock (for generative AI and conversational workflows), Amazon SageMaker (for model hosting and multimodal inference), and Amazon S3 (for storing raw medical images and other large data assets). Together, these services provide the scalable, secure, and enterprise-ready foundation that allows BioCanvas to operationalize multimodal AI in regulated healthcare and life sciences environments.
Highlights
- Image-to-image and text-to-image search Supports advanced search workflows across 3D clinical imaging and unstructured content, not just text and tables.
- Secure client-cloud deployment Deploys in the customer’s AWS environment, supporting enterprise security, control, and compliance requirements.
- Built on AWS-native AI and data services Leverages Amazon EC2, Amazon Bedrock, Amazon SageMaker, and Amazon S3 to deliver scalable, production-ready multimodal AI.
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Contact Gloria Gao: gloria.gao@revealhealthtech.com and Tyler Weathers: tyler.weathers@revealhealthtech.com for more