Welcome to ML Platform
We build and operate the shared infrastructure that powers machine learning and AI across Datavant. Whether you're training models, running inference, or processing documents at scale, we're here to help you move faster.
Our Mission
Make it easy, fast, and cost-effective for any team at Datavant to build, deploy, and operate ML and AI workloads in production. We provide shared services so teams don't have to reinvent infrastructure — they can focus on solving business problems.
What We Offer
LLM Serving
Access Claude, GPT, Gemini, and open-source models through Databricks or AWS Bedrock. Built-in cost tracking, rate limiting, and endpoint isolation.
Choosing a serving path →OCR-as-a-Service
Centralized document processing with Tesseract, Textract, and VLM engines. Pick the right engine for your accuracy, throughput, and cost needs.
OCR decision tree →Model Deployment
Infrastructure for training, versioning, and deploying ML models to production. Databricks-native workflows with CI/CD integration.
AI Strategy Consulting
Not sure where to start with AI? We help teams evaluate use cases, choose the right models and infrastructure, and build a path from prototype to production.
Databricks Platform
Managed Databricks environment for ML workflows, experiment tracking, feature engineering, and data pipelines. Includes cost attribution and governance.
Model availability & pricing →Data Science Enablement
Helping data science teams across the organization adopt ML best practices, provision infrastructure, and accelerate time-to-production.
Who Is This For?
Engineers
Need to integrate an LLM into your application? Want to add OCR to your pipeline? Start with our documentation to find the right service, or reach out and we'll help you get set up.
Data Scientists
Looking to train, evaluate, or deploy a model? We provide the Databricks infrastructure, deployment pipelines, and production serving layer so you can focus on the science.
Product Managers
Exploring how ML or AI could solve a business problem? We can help you understand what's feasible, what infrastructure already exists, and how to get from prototype to production.
Leadership & Compliance
Need visibility into ML costs, model governance, or AI usage across the org? Our KPI dashboard tracks production deployments, costs, and platform health in real time.
Quick Links
The Team
Need Help?
Reach out to us in #clinical-data-ml-platform on Slack or file a request on our JIRA board (PLT). We're happy to help you evaluate options, set up infrastructure, or troubleshoot production issues.