Results that speak for themselves.

The challenge

A Pacific Northwest health system was operating with 14 disconnected data sources — EHR, billing, scheduling, lab, and pharmacy — making it impossible to get a unified view of patient outcomes or operational performance.

Our solution

We designed and built a cloud-native data warehouse on Snowflake, implementing a medallion architecture (bronze/silver/gold) with automated ELT pipelines via dbt. A unified patient 360 model was delivered alongside role-based Power BI dashboards for clinical and operational teams.

The challenge

A mid-market retailer with 200+ SKUs across online and physical channels was experiencing 23% stockout rates and $2.1M in annual overstock write-offs due to manual, spreadsheet-based forecasting.

Our solution

We built a gradient boosting demand forecasting model trained on 3 years of sales history, enriched with external signals (weather, local events, promotions). The model was deployed via a FastAPI microservice integrated directly into their inventory management system.

The challenge

A wealth management firm's leadership team was making portfolio and business decisions based on weekly PDF reports compiled manually by analysts — a process that took 12+ hours per week and was prone to errors.

Our solution

We replaced the manual reporting workflow with a real-time Tableau analytics suite connected directly to their portfolio management system and CRM. Custom calculated fields, parameter-driven views, and automated distribution replaced the entire manual process.

The challenge

A consulting firm's analysts were spending 3–4 hours per day searching internal documents, past proposals, and methodology libraries to answer client questions and build new deliverables — institutional knowledge was siloed and hard to access.

Our solution

We built a RAG-based internal knowledge agent using GPT-4 and a vector database (Pinecone) indexed over 8,000 internal documents. The agent was deployed as a Slack bot and web interface, with citation tracking so users could verify every answer against source documents.

The challenge

A B2B SaaS company with 1,200 customers had a 22% annual churn rate and no systematic way to identify at-risk accounts before they cancelled. Customer success teams were reactive, not proactive.

Our solution

We built a churn prediction model using logistic regression and gradient boosting, trained on product usage, support ticket history, billing data, and NPS scores. A real-time risk scoring dashboard was delivered to the CS team with automated Slack alerts for accounts crossing risk thresholds.

The challenge

A regional manufacturer was running critical business systems on aging on-premise infrastructure — 15-year-old servers, manual backup processes, and no disaster recovery plan. IT costs were rising while reliability was declining.

Our solution

We conducted a full infrastructure audit and delivered a phased cloud migration roadmap to AWS. We led the migration of their ERP, data warehouse, and file systems over 8 months, implementing automated backups, monitoring, and a documented DR plan.