BUILD
Data Engineering & AI Readiness — The Unglamorous 40% of Every Successful AI Project.
AI is only as good as the data underneath it. We build the pipelines, warehouses, and document-processing foundations that make AI projects succeed — compliant by design.
What We Build
- Data pipelines and ETL/ELT (batch and streaming)
- Warehouse and lakehouse on AWS (Redshift, S3/Glue, Athena)
- Document processing at scale: OCR, extraction, classification — the feedstock for RAG
- Data quality and master-data cleanup
- Compliance-aware design: PHI/CJI segregation, encryption, retention, audit trails
Who It's For
Organizations with an AI initiative blocked by messy data, siloed systems, or document archives that aren't machine-readable yet — especially in healthcare, insurance, legal, and public safety.
Why LTK Soft
- Most failed AI projects didn't fail at the model — they failed at the data. We fix that first, or tell you honestly that you're not ready yet.
- Compliance-aware data architecture — PHI/CJI segregation, encryption, retention, and audit trails designed in from day one.
- AWS data stack practice since 2013 — Redshift, Glue, S3, and Athena in production.
Pricing
Scoped engagements from
$15,000
Commonly bundled with an AI build or readiness assessment.
Talk Through Your Data Foundation
We'll assess whether your data is AI-ready — or what needs to happen first.
Book a Free 30-Minute Assessment