Category: Case Study

A compliance-first AI rollout in financial services

A regional bank with $12 billion in assets wanted to use machine learning to improve its commercial loan underwriting process. The existing process was manual, relying on credit analysts who spent fou

How we killed our ETL pipeline (and productivity went up)

A B2B SaaS company running a customer success platform had a data pipeline that consumed sixty percent of the data engineering team's time. Not feature work. Not analytics. Pipeline maintenance. The p

Building an AI operating system for a 10,000-person company

A diversified industrial company with 10,000 employees across manufacturing, logistics, and field services had accumulated forty-seven separate AI projects over three years. Each business unit had bui

The vector database that couldn't scale — and what we did instead

A media company with a library of twelve million articles, transcripts, and research documents had built a semantic search system on a managed vector database. The system was designed to let journalis

From 3-hour dashboards to 3-minute insights: a BI modernization story

A manufacturing company with facilities in twelve countries ran its operational reporting on a traditional BI stack: a data warehouse, an ETL pipeline, and a dashboard tool that had been deployed six

When RAG failed: a knowledge retrieval project post-mortem

A legal technology company had invested six months building a retrieval-augmented generation system to help contract attorneys find relevant precedent clauses across a corpus of 180,000 executed agree

Migrating from batch to streaming: a 6-month journey

A logistics company processing two million shipments per day ran their entire operational reporting stack on nightly batch ETL. Every morning at 6 AM, operations managers reviewed dashboards built on

The data pipeline that cost $50K/month — and the audit that found why

A financial services firm running analytics on trade settlement data came to us with a specific complaint: their cloud data platform cost had tripled in eighteen months, and nobody could explain why.

How a retailer reduced inference latency 90% with feature store caching

A mid-market e-commerce retailer with roughly $200M in annual revenue had invested eighteen months building a product recommendation engine. The models were accurate. Offline evaluation showed meaning

Case Study: Building a Production AI Knowledge Layer for Financial Services

A regional bank's investment research team spent 60% of their time gathering information and 40% doing analysis. Analysts had to search through regulatory filings, internal research memos, market data

Case Study: End-to-End RAG Platform for Customer Support

A SaaS company with 200 support agents and 10,000+ knowledge base articles had an 18-hour average response time and 23% first-contact resolution. Their largest enterprise client threatened to cancel a