SERVICES

CASE STUDIES

TEAM

INSIGHTS

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AI tools that mid-sized industrials & services businesses actually use.

Operators focus on running their business. Frontier labs focus on building their models. We focus on connecting the two.

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Demos completed with industry operators

Average annual hours saved per workflow we build

Sectors & functions across client projects

Years of AI and business strategy experience

SERVICES

What we do

01 Intro & Demo

You describe one thing your team does by hand. We show you how to automate it.

We spend 30 minutes on a call with you and your team. You describe the workflow, we go build against it, and we show you the result on a real screen.

01 Intro & Demo

You describe one thing your team does by hand. We show you how to automate it.

We spend 30 minutes on a call with you and your team. You describe the workflow, we go build against it, and we show you the result on a real screen.

01 Intro & Demo

You describe one thing your team does by hand. We show you how to automate it.

We spend 30 minutes on a call with you and your team. You describe the workflow, we go build against it, and we show you the result on a real screen.

02 Diligence

After 3 weeks of discovery interviews, you get a list of everything worth building.

We listen for where your team says the data breaks and where the manual work piles up. You get a roadmap with 10-12 AI projects, scoped and ranked by impact and difficulty.

02 Diligence

After 3 weeks of discovery interviews, you get a list of everything worth building.

We listen for where your team says the data breaks and where the manual work piles up. You get a roadmap with 10-12 AI projects, scoped and ranked by impact and difficulty.

02 Diligence

After 3 weeks of discovery interviews, you get a list of everything worth building.

We listen for where your team says the data breaks and where the manual work piles up. You get a roadmap with 10-12 AI projects, scoped and ranked by impact and difficulty.

03 Implement

We build alongside your team so that you own the product and the learnings.

We follow a proven 4-6 week sequence that plans, builds, tests, and handsoff the finished product for your team to put into action instantly.

03 Implement

We build alongside your team so that you own the product and the learnings.

We follow a proven 4-6 week sequence that plans, builds, tests, and handsoff the finished product for your team to put into action instantly.

03 Implement

We build alongside your team so that you own the product and the learnings.

We follow a proven 4-6 week sequence that plans, builds, tests, and handsoff the finished product for your team to put into action instantly.

04 Management

We manage your AI tools so that nobody else on your team has to take the time.

We stay on in a fractional capacity to manage the past, present, and future AI projects that your team is building so that you don't have to hire someone full-time.

04 Management

We manage your AI tools so that nobody else on your team has to take the time.

We stay on in a fractional capacity to manage the past, present, and future AI projects that your team is building so that you don't have to hire someone full-time.

04 Management

We manage your AI tools so that nobody else on your team has to take the time.

We stay on in a fractional capacity to manage the past, present, and future AI projects that your team is building so that you don't have to hire someone full-time.

SELECTED WORK

How we provide value

Manufacturing

0+ hours

Saved annually across ops managers

Catching order errors before they cost money

A PE-backed manufacturer was validating hundreds of work orders manually each week. We built the check into their ERP so it runs on every order before installation, saving time and reducing errors.

Read the case study

Manufacturing

Of team queries run through the connector

Finding internal customer records in one click

A manufacturer's leadership team needed to go through 11 steps in their ERP to find basic customer account data. We built a custom connector so our client now gets live ERP data in seconds.

Read the case study

TEAM

Who you'll work with

JP Mancini, Co-founder

Forward Deployed Engineer at C3 AI.
BS in Computer Science from Georgetown.
MCS in Data Science from Illinois.

Taylor Walshe, Co-founder

Industrials Investor at Berkshire Partners.
Engagement Manager at McKinsey.
BS in Economics from Georgetown.
MBA from Stanford.

Get in touch with us

Book a 30-minute call and we’ll talk through where your team is losing time.

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