Tell us a little about the feeds you receive and we will walk you through the platform against a scenario that looks like yours.
We model the feeds and layouts your team actually handles, not a generic sample.
Enough to see the full lifecycle run end to end, scoped to fit a busy calendar.
A working look at the platform. No pressure, no commitment required to attend.
Hours, not months. There is no months-long data implementation before you deliver value, the first file received can be enriched, validated, and producing insight the same day, and new clients come online in days.
Medical claims, eligibility, pharmacy, and lab feeds, as CSV, Parquet, fixed-width, or delimited files. One-time prospect data or ongoing monthly feeds, from any number of vendors on any schedule, with no rigid naming rules required.
Inside your own cloud tenant, under your security posture, intake, processing, AI inference, and warehousing all run there. Foundation models run on your cloud’s managed AI service (Bedrock, Vertex AI, or Azure AI Foundry), so no data leaves your environment for inference. Feeds are encrypted and handling is HIPAA-compliant.
No, you get the data back, not someone else’s report. Clean, enriched tables flow to Snowflake, Redshift, BigQuery, Synapse, Databricks, or flat files, and plug into the ROI models and reporting you already use. Your analytics, your IP, your brand.
MARÉ knows which files are expected and when. The moment one is overdue it is flagged, and an AI agent reaches the vendor automatically by email and automated voice call, then tracks the alert through a clear lifecycle until the file lands.
You set the autonomy, per client Group, from fully autonomous to human review. Self-healing quality control catches issues and layout changes before data goes live, with clear severity, and a live ops view shows what’s processing, waiting, overdue, and delivered.