A scientific approach to scale.

We use AI to automate operations, harden security, and design systems that save you time and money.

Who We Are
Matt Ewing

Matt Ewing

Founder and President

Finds what's actually slowing you down.

Matt Ewing

Founder and President

Matt brings 15+ years scaling operations, teams, and systems. He grew a construction company from its first $1M year to $24M in quarterly revenue, building the CRM and ERP behind it. He's led nationwide rollouts for Sunrun and built systems behind organizations with nine-figure exits. At Grow Theory, he bridges operations and technology to help clients scale with confidence.

Dominic Trelford

Dominic Trelford

Chief Information Officer

Builds IT infrastructure that scales securely.

Dominic Trelford

Chief Information Officer

Dominic brings 17 years of technical expertise, spanning roles as a senior engineer, business owner, and enterprise technology leader for billion-dollar organizations. Having run his own firm, he understands the need for cost-efficient, high-ROI technology. He specializes in resilient infrastructure, enterprise tooling, IT security, and platform administration that hold up under load.

Daniel French

Daniel French

Head of Infrastructure

Makes the systems talk to each other.

Daniel French

Head of Infrastructure

Daniel is a veteran DevOps engineer who specializes in architecting high-performance, automated infrastructure and seamless system integrations. Throughout his career, he has focused on eliminating operational bottlenecks by designing robust automation workflows that keep complex systems synchronized, secure, and built to scale effortlessly under load.

Sam Hayek

Sam Hayek

Design Engineer

Creates the tools your team works in.

Sam Hayek

Design Engineer

Sam is a strategic design engineer who blends product design, branding, and growth marketing to build high-performance business tools. Scaling early-stage startups, he treats design as an engine for efficiency, not just aesthetics. He builds the dashboards, internal apps, and workflows that cut friction, so your team's tools drive growth instead of getting in the way.

A Note from the Team

Research-led, operator-built.

Most automation projects fail for the same reason. People buy a tool before they understand the problem. You get a demo that looks great, a model wrapped in a thin interface, and a slide deck. Then someone tries to use it on a normal busy day, and it breaks. The tool was never the hard part. The hard part is knowing your operation well enough to tell what to fix from what to leave alone — and operations keep changing as they grow, so that answer never sits still.

So we do that part first. We sit with the people doing the work, watch how it actually runs, and find where it slows down and what that costs. Then we build the fix — narrow, aimed only at what's actually slow, and nothing else. Small enough to understand. You can see what it does, and why. And we stay on to run it with you as you grow, because the test of a system isn't the demo. It's whether it still works six months in.

— The Team

What We Do
How We Work
  1. 01

    Understand where you are

    We start with a focused call on your challenges, goals, and priorities. Then we regroup internally to assess where we can help most and which opportunities have the highest impact.

  2. 02

    Find what to fix first

    Over a two-week sprint, we document your processes with Value Stream Mapping and surface the biggest bottlenecks and quick wins. You leave with an action plan, and we agree on scope together.

  3. 03

    Build it, test it, ship it

    We design and build prioritized solutions: automations, dashboards, workflows, and integrations. We test with your team and ship a working version in 30 to 90 days, with training and docs.

  4. 04

    Keep things growing

    We stay on with monthly support and steady improvements, expanding automations, deploying more agents, and applying what we learn to the rest of the business: HR, reporting, IT, and more.

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