Webcattus Labs builds cloud-native data platforms and analytics solutions for healthcare and enterprise — turning raw data into reliable, production-grade pipelines.
From raw ingestion to decision intelligence — we own every layer of your data platform.
End-to-end pipeline design — batch, streaming, and hybrid — built for reliability and scale using PySpark, Databricks, and BigQuery.
GCP architecture, Databricks implementation, BigQuery optimization, and cloud cost management from proof-of-concept to production.
Underwriting analytics, claims data modeling, and formulary intelligence for pharmacy benefit management and healthcare payers.
CI/CD for data pipelines, Apache Airflow orchestration, automated testing, and GitHub Actions workflows that eliminate toil.
Generative AI integration, LLM-powered data workflows, and ML pipeline development that turn your platform into a decision engine.
Tell us about your data challenge — we'll scope a solution together.
Start a Conversation →We take end-to-end accountability — from pipeline architecture to deployment monitoring. No handoff gaps.
Deep experience with PBM underwriting data, claims schema, and healthcare compliance — not a generalist learning on the job.
Peer-reviewed publications in data systems and decision intelligence inform how we design solutions — rigorously, not just practically.
We build for day 30, not just day 1 — with monitoring, alerting, documentation, and handover baked in from the start.
Tell us about your challenge and we'll respond within one business day.