AI doesn't fail at the model layer.
It fails at the data layer.
Every AI project we've taken over that failed had the same root cause: the data wasn't ready. Inconsistent schemas. No lineage tracking. Pipelines that silently dropped records.
Book a Free Scoping CallProven at scale: our production financial data pipelines process 10 TB+ per week. Orchestrated on AWS Airflow. Full observability. Terraform-managed S3 lifecycle saving $20K/year. This isn't architecture we've drawn on whiteboards — it's infrastructure we run every week.
Apache Airflow + AWS orchestration. Fault-tolerant DAGs, retry logic, alerting on failure. Designed to be monitored and modified by your ops team without calling us.
Automated lifecycle management via Terraform. Multi-tier storage, intelligent tiering, retention policies. $20K+/year cost reduction demonstrated on live systems.
Lineage tracking, schema validation, anomaly detection. You know when records are dropped or schemas drift — before it surfaces as a bad AI response.
Every resource defined in Terraform. Reproducible, auditable, versionable deployments. Your compliance team can read it. Your ops team can modify it.
Automated tiering, retention policies, right-sizing. We've reduced infrastructure costs by $20K+ annually on a single production system through Terraform lifecycle policies.
Structured logging with trace IDs, dashboards, alerting integration. You find out about failures from monitors, not from users filing support tickets.
Start with the AI Readiness Audit — $3,500
A 2-week audit of your data, infrastructure, and AI readiness. Full written roadmap with realistic effort and cost estimates — no retainer required. Take the deliverable to any team.
We'll tell you which — and what it takes to get there. 30 minutes, no pitch deck.
Book a Free Data Audit