Custom Built AI Systems
That Create
Competitive Moats

Scott Sullivan is a data engineer & AI strategist forging data solutions for small businesses

Scott founded Digital Blacksmiths to bring enterprise-grade data intelligence to businesses that were told they were too small for AI. Specifically, Scott helps growth-stage companies (10-100 employees) build competitive moats using custom AI systems that can't be replicated with off-the-shelf tools.

He designs and builds custom machine learning models, data systems, and AI strategies that help clients forecast demand, eliminate inefficiencies, and make faster, smarter decisions. With a Master’s in Data Analytics and a background in computer science, he brings enterprise-level rigor to every engagement.

Services

Data & Analytics

Focus in on reliable analytics foundations that turn raw data into clear insight.

Forecasting

Anticipate demand, reduce risk, and support smarter decisions.

Automation

Design and deploy AI systems that automate work and save time.

How We Work

We build AI systems in 3 phases—no endless discovery, no vendor lock-in

1. Assessment & Roadmap (2-3 weeks)

We audit your data infrastructure, identify the highest ROI opportunities, and deliver a prioritized implementation plan. You get clarity on what's actually possible vs. what's hype. Deliverable: Technical assessment and 90-day roadmap with cost estimates

2. Build & Validate (2-4 months)

We build the custom system—the forecasting model, the automation pipeline, the intelligence layer. Every two weeks you see working increments. No surprises at the end. Deliverable: Production-ready system with documented handoff

3. Transfer & Scale (ongoing)

We train your team, monitor performance, and make you independent. Our best clients eventually don't need us. Deliverable: Knowledge transfer and support runway

Insights