Real Projects We've Built

Not case studies or hypotheticals—these are actual systems we've designed, built, and deployed. Each one solved a real problem for a real team.

Production AI Document Analysis System

The Problem

A team needed to analyze large volumes of technical documents quickly and accurately, but manual review was taking too long and missing important details.

What We Built

Built a RAG (Retrieval-Augmented Generation) system that processes technical documents with dual-LLM validation for accuracy. The system uses one model to generate answers and another to validate them, ensuring trustworthy outputs.

Real Impact

Deployed on AWS with OpenSearch, serving multiple users with approximately $300/month infrastructure costs. Real AI solving real problems, not demos.

Tech Stack

AWS (OpenSearch, Lambda, S3)
Python
OpenAI API
Anthropic API
Monitoring & Cost Controls

Enterprise Data Integration Platform

The Problem

Data was siloed across Salesforce, Forecasa, and Databricks. The analytics team spent hours manually exporting and reconciling data, and data quality issues were common.

What We Built

Connected all systems with automated data pipelines using medallion architecture (bronze, silver, gold layers). Built reliable sync processes that handle errors gracefully and maintain data quality.

Real Impact

Eliminated manual data exports, improved data quality, and enabled the analytics team to work with fresh, reliable data. The team now focuses on analysis instead of data wrangling.

Tech Stack

Python
Databricks
Salesforce
ETL Pipelines
REST APIs

Intelligent Workflow Automation

The Problem

A team was spending 10+ hours per week on repetitive tasks: generating reports, validating data, and sending notifications. The manual process was error-prone and frustrating.

What We Built

Built an n8n-based automation system that orchestrates workflows across multiple tools. Automated report generation, data validation, and notification systems with proper error handling and monitoring.

Real Impact

Saved the team 10+ hours per week on repetitive tasks. The automation runs reliably with minimal maintenance, and errors are caught and reported automatically.

Tech Stack

n8n
Python
REST APIs
Scheduling Systems
Error Handling

We Actually Build Things

Every project above represents real code we wrote, real systems we deployed, and real problems we solved. We don't just make recommendations—we build working solutions.

Want to see how we can help with your project? Let's talk about what you're trying to accomplish.

Have a Project in Mind?

Whether it's automation, AI integration, data pipelines, or custom development—let's discuss how we can help.