A workshop, not a consultancy.
An atelier is a workshop: craftsmen at different tables, each on a different stage of the same piece. We took the name because that's the model here. Chris builds the financial models. Glenn ships them as tools the rest of the team can actually open and use. Rammy and Lane build the platforms and cloud infrastructure when the work needs more than a spreadsheet. Matt untangles the operations and roadmaps that connect it all. The whole team is on every engagement.
The Team
The whole team, on every project from kickoff to handoff. No juniors staffed behind the scenes.
Chris Stenseth
Finance & Modeling
Ex-JP Morgan · Ex-Chevron · MBA Finance
Builds the financial models and budget systems executives use to make real decisions.
Former JP Morgan and Chevron. Spent years building the scenario models and forecasting tools that moved real capital. Now builds budget systems, financial close processes, and whatever workbook the team has been afraid to touch.
Glenn Harless
Data Engineering & Science
MS Computational Analytics · Lead Data Engineer · 10+ Years
Builds the data infrastructure and predictive models behind real business decisions.
A decade of pipelines, warehouses, and the analysis layer on top. Works across marketing mix modeling, experimentation, fraud detection, and operational forecasting. The kind of analysis where being off by a quarter changes what the company does next.
Rammy Issa
Software Engineering & Platforms
Full-Stack Engineer · 10+ Years · SaaS · Defense · E-commerce
Ships production applications from the frontend UX down to the infrastructure underneath.
Over a decade building for real estate, ecommerce, and defense contractors. React SaaS platforms, distributed backends, and the Airflow pipelines holding the data side together. Works where the system has to stay up under load and stay private at the same time.
Lane Terry
Software & Cloud Engineering
Full-Stack Engineer · AWS · Azure · GCP · Agentic AI · Kafka
Ships full-stack systems end-to-end across AWS, Azure, and GCP with a focus on agentic AI.
React frontends, Java and Python services, and the cloud infrastructure underneath. Background spans high-throughput, message-driven data platforms on Kafka and RabbitMQ, plus agentic AI work delivered for prominent names in financial services.
Matthew VanDerhoof
Product & Operations Strategy
Ex-Apple · Ex-AWS · Lean Six Sigma Green Belt · MBA
Turns manual, tangled operations into clean, scalable systems that actually run.
Works at the intersection of technology and business to automate complex processes, untangle roadmaps, and scale operations. From designing business process reengineering frameworks at Apple to scaling product initiatives at AWS, he specializes in taking manual work and replacing it with high-efficiency systems. A strong technical foundation paired with deep business experience means he translates technical constraints into clean, high-impact execution.
How We Work
We start with diagnosis. Before we build anything, we sit down with you and map out the real cost: how much time is actually going into manual work, and which spreadsheets are quietly running the business. You walk away with an honest look at the scale of the problem and the exact scope of what we'll fix.
Every project gets a fixed price and timeline upfront. No hourly billing, no scope creep. You know what you're paying and what you're getting, and we know what we're building.
Confidentiality is the default. Your data, files, and business specifics stay that way whether anything's signed or not. If you want a formal NDA, send yours over before the first call or use ours.
The work is built to last. We document everything so you or your team can maintain it without us. The point isn't to create a dependency, it's to leave you with tools that work.
Questions about any of this live on the FAQ page.
What this actually looks like on a project.
Afternoon-long year-end timesheet tally became a five-minute sanity check.
Two hours of morning email triage became fifteen minutes. Every reply still goes through her.
Four linked workbooks collapsed into one the next PM can pick up on day one.
Curious where your Tuesday actually goes?
Thirty minutes on video, enough to find where the time is going. If we don't think we can help, we'll say so on the call.
Book a call
