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

2026’s AI K-Shaped Divide: Adopt Now or Stagnate Forever

Saturday, February 28

Two knowledge workers starting at $75k in 2015 now face dramatically different futures: by 2030, the AI-skilled one reaches nearly $150k while the non-AI user stagnates around $80,000, backed by PwC’s 2025 data showing a 56% wage premium for AI proficiency and wages growing twice as fast in AI-exposed roles. AI acts as a powerful skill multiplier, its exponential leaps compress years of progress into months, and together they’re driving a stark K-shaped economy where early adopters soar while others see their labor commoditized in a shift from human effort to capital-owned intelligence. The divide is real and widening—your future income may hinge on which side of the K you choose to stand on.

When Machines Become our Coworkers

Saturday, February 4

The thought of machines as our coworkers brings to mind futuristic images of robots sitting in the cubical next to us and standing next to us on the bus going to work. But in reality, we are working alongside robots already, in the computer, as apps. What does this have to to with us as … Continue reading