AI awareness isn't the problem.Adoption is.

Pilot programs stall. Developers stay skeptical. Meanwhile, competitors ship faster. We've been through the adoption curve, and we can pull your team through it.

The problem isn't awareness. It's action.

Your engineers have heard about GitHub Copilot. They've seen the demos. Maybe they even tried it for a week. But "tried it once" isn't the same as "changed how we work." The tools sit unused. The productivity gains stay theoretical. Your internal messaging alone isn't cutting through.

We've spent the last two years rebuilding our own workflows around AI. We ship fully functional app prototypes, including React Native mobile apps, during discovery engagements that used to be just wireframes. That's not marketing. That's Tuesday.

Now we teach other teams to do the same.

Talk to Us About AI Adoption

Your developers need to hear from other developers

Internal mandates don't change habits. "Developer-to-developer" does.

Our AI Developer Fluency sessions put experienced practitioners in front of your team, not to demo features, but to share real workflows, answer the hard questions, and help engineers move past skepticism into daily adoption.

Half-day and full-day formats. Tailored to your tech stack and team size. Follow-up office hours available.

Explore Developer Fluency Sessions

What We Actually Do

We're not AI consultants who hand you a strategy deck. We're builders who ship software with AI baked in. Here's what that looks like:

Custom LLM Integration

Your product needs to summarize, classify, extract, or generate. We wire up the right model (OpenAI, Anthropic, local), build the prompts, and handle the edge cases your users will definitely find.

Custom LLM Integration

Intelligent Automation

Your team processes the same documents, answers the same questions, follows the same workflows. We build systems that handle the repetitive work so your people don't.

Intelligent Automation

Computer Vision & Document Processing

Quality control. Visual inspection. Extracting data from PDFs that should have been structured in the first place. We make machines see what your team shouldn't have to.

Computer Vision

Predictive Analytics

You have years of data. We turn it into forecasts: demand, churn, maintenance needs, whatever decisions you're currently making by gut.

Predictive Analytics

How We Work

No Methodology Theater: We don't have a six-step "AI Transformation Framework" with a trademarked name. Here's what we actually do:

1

Figure out where AI actually helps.

Most AI projects fail because they solve problems nobody has. We start by understanding your operations, not your aspirations.

2

Prototype fast, validate faster.

Working code in weeks, not months. If the approach doesn't pan out, we find out early.

3

Ship into your existing systems.

AI that lives in a silo dies in a silo. We integrate into your actual workflows, with your actual data, in your actual infrastructure.

4

Make it better over time.

AI systems learn. We set up the monitoring and feedback loops so your investment compounds.

The Honest Truth About AI

Discernment icon

Not every problem needs AI.

Sometimes a well-designed form beats a chatbot. Sometimes a simple rule beats a model. We'll tell you when AI is overkill.

Data foundation icon

AI is only as good as your data.

If your data is scattered across spreadsheets and someone's inbox, we need to fix that first.

Team adoption icon

Your team has to actually use it.

The fanciest AI system in the world is worthless if your people don't trust it. That's why we offer the Developer Fluency sessions. Adoption is half the battle.

Tell Us What You're Trying to Solve

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