Datavant and AWS launch cloud-based data discovery solution for life sciences

We’ve heard the market loud and clear - finding and understanding real-world data shouldn’t be so hard. Datavant Connect powered by AWS Clean Rooms is a major step toward making RWD more navigable, secure, and useful for evidence generation. Excited to see this launch make data discovery faster and more accessible across life sciences!

Excited to share that Datavant Connect powered by Amazon Web Services (AWS) Clean Rooms is now broadly available, which will accelerate data discovery and assessment, reducing time to insights for clinical research, HEOR, and commercial applications. Ontada is proud to be a Datavant and AWS Lighthouse Partner alongside McKesson Compile, helping to pave the way for life sciences organizations to access a rich, representative foundation of real-world data. #RWD #Datavant #AWS #HEOR #LighthousePartner

⭐ Exciting News: Transforming Real-World Data Access in Life Sciences! We're thrilled to announce that Datavant Connect, powered by AWS Clean Rooms, is now broadly available! Learn more here. 👉 https://go.aws/3LvVfyP Amazon Web Services (AWS) #AWS #AWSforLifeSciences #LifeSciences

Excited to share that Datavant Connect powered by Amazon Web Services (AWS) Clean Rooms is now broadly available, which will accelerate data discovery and assessment, reducing time to insights for clinical research, HEOR, and commercial applications. McKesson Compile is proud to be a Datavant and AWS Lighthouse Partner alongside Ontada, helping to pave the way for life sciences organizations to access a rich, representative foundation of real-world data. #RWD #Datavant #AWS #HEOR #LighthousePartner

The #NextflowSummit wouldn't be possible without the support from our incredible sponsors: Amazon Web Services (AWS), ZS, Quilt, BigOmics Analytics, Fulcrum Genomics LLC, and Databricks Your support is instrumental in driving innovation in science and technology. 💻 By championing the #Nextflow ecosystem, you're helping to accelerate global research and create real-world impact. Thank you for making this possible. 🚀 📽️ If you missed the Virtual #NextflowSummit, you can watch all the talks on-demand here: https://hubs.la/Q03QK8pt0

We launched Tensorlake's Document Ingestion API a couple of months ago, and it's already parsing millions of pages every month across Insurance, Healthcare, Financial Services, Research and Legal Tech. Most conversations with new customers starts with - Is Tensorlake better than Azure's Document Intelligence and AWS Textract or open source models. Tensorlake is the most accurate Document Ingestion API for reading and extracting structured extraction among the four models we tested. OCR models are rarely trained on enterprise documents because they are private and not available in publicly available datasets. We went to great lengths to acquire documents with complex tables, layouts and figures, so our models perform reliably in production use cases, not just benchmarks. The results reflect our focus on building a Document Ingestion API for real world business documents. If you are wondering why we didn't compare with Gemini, OpenAI, Anthropic or other VLMs - They don’t preserve layout information, which is essential for citations in RAG pipelines and structured data extraction, both core capabilities of our API. Read more - https://lnkd.in/gE-W8tRa Tensorlake Cloud - https://lnkd.in/gdDgiCwG

The future of real-world data just got a whole lot faster. We're proud to be one of 15 leading real-world data sources partnering with Datavant and Amazon Web Services (AWS) on a solution that's changing how life sciences companies discover and evaluate health data. Datavant Connect powered by AWS Clean Rooms is now broadly available—and it's solving a problem that's plagued our industry for years: the months-long process of finding fit-for-purpose data. What makes this different: ✓ Explore datasets without moving or exposing underlying data ✓ Run bespoke analyses based on specific research objectives ✓ Eliminate the manual back-and-forth that slows down evidence generation ✓ Privacy-preserving by design using AWS Clean Rooms technology Since January 2024, four top-20 pharma companies tested this solution alongside us and other data partners. The verdict? Game-changing for clinical and commercial insights. HealthWise Data is committed to making quality real-world data more accessible while maintaining the highest privacy standards. This partnership helps us deliver on that promise. The era of cloud-first insights generation is here.

🚀 K Pro - our agentic AI platform for biopharma - is now accessible through Amazon Web Services (AWS) Marketplace. You can find it in the SaaS category. Biopharma teams can now easily buy and deploy K Pro directly through AWS, accelerating their workflows and enabling smarter, data-driven decisions across discovery and development. “By offering K Pro in AWS Marketplace, we’re giving customers a faster, streamlined way to deploy agentic AI for biology,” says Adi Ravia, Head of Product at Owkin. 🔗 Explore K Pro on the AWS Marketplace here: https://lnkd.in/eMxBysQA 🔗 Learn more: Read the press release here: https://lnkd.in/eTfp-RT6

Incredible milestone for the research and biopharma community! Owkin’s K Pro is now available on AWS Marketplace, making advanced AI capabilities more accessible than ever. This is how we move faster together — bridging science and technology to unlock smarter, data-driven discoveries. Feel free to send me a message if you’re interested in discussing some use cases on how to best leverage K Pro to advance your research. Happy to have a disucssion!

FactSet's AI-ready data is in high demand by our clients. We are excited to launch our MCP server on Databricks Marketplace. Through collaborations across the broad array of AI capabilities available via Databricks, including Agentbricks, Databricks One, and now MCP in Databricks Marketplace, clients’ data entitlements from FactSet can be brought into their existing workflows to drive both insights and efficiencies. Tools like those available via Databricks, coupled with our open and flexible approach, empower rapid innovation as we unify and enrich data into our clients’ AI workloads. Thanks so much to Nick Browen Reegal Kalariya and the FactSet API Product & Eng teams for all of their efforts around MCP, and to Roman Ostrovski Jay Bhankharia Caitlin C. and the whole Databricks team for their partnership here.