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Marengo

AI-Native Engineering Firm designing Data Centers

Marengo is an AI-native engineering firm designing data centers in half the time and half the cost. We have $4M in design partnerships with two of the world's largest developers ($XB). Marengo is backed by YC, Exor, Future Planet Capital, undisclosed $2B AUM family office, and other top-tier investors. Our team includes the former President & CEO of Saipem America ($3B+ P&L), former President of Exyte's Advanced Technology Facilities GBU ($6B+ P&L) and more.
Active Founders
Emil Ares
Emil Ares
Founder/CEO
Founded my first company at 16, making six figures. Ex-Cambridge Physicist working on world's most powerful magnets (56MW) at the 1.4GW MagLab facility. Ex-UK Space Agency.
Gad Marconi
Gad Marconi
Founder/CTO
Ex-AI software engineer at Nuclear and Energy EPC. Built and deployed on-site data center infrastructure at the 25MW Swiss Flumenthal hydroelectric plant. Ex-TU Delft.
Company Launches
Marengo: Accelerated Data Center Design
See original launch post

Hey everyone 👋! We're Emil Ares and Gad Marconi, co-founders of Marengo.

TL;DR $6.7T is going towards data center capex up to 2030. It still takes 10-12 months to design data centers. Marengo is the engineering firm for accelerated data center development. Site Due Diligence through FEED and permitting design in half the traditional time and half the cost. We’ve developed internal AI design tools that our professional engineers use to accelerate their engineering design work. Customers receive validated outputs they can trust. Already working with some of the largest developers in the world.


Our Launch Video: https://youtu.be/57EbJ0Buz-U

Ask: Are you a data center developer? Give us a site. Let Marengo show you what accelerated engineering looks like on one of your projects. Click here.

The problem[s]:

Huge expenditure on design: $6.7T of data center capex by 2030 - engineering design fees are a massive 12% of construction cost, meaning $800B in design spend alone.

Huge time waste: engineering design takes 12-36 months (feasibility, due diligence, FEED/permitting design, detailed design); it’s done manually, meaning a design firm can only handle 3-4 different concepts per site, leading to suboptimal designs, worse decisions and higher risk.

The Solution:

AI alone doesn’t have the engineering, know-how or trust to be effective here. A step change is needed. Marengo is needed.

To customers, we’re the engineering firm for accelerated data center development. Internally, we have developed AI-native tooling designed for in-house use by professionals. These tools are:

  • Physics-informed - grounded in reality
  • Deterministic - the same specs will produce the same designs)
  • Validated - validated by our professional in-house engineers
  • Data-driven - we parallelise concept design generation, producing a virtually unlimited number of variations; we then run simulations to determine the best fit
  • AI-native - AI agents act as junior engineers accelerating manual processes so our professional engineers can focus on validation

How it works:

A customer gives us their plot of land; we leverage their heritage and requirements to deliver validated designs in half the time and half the cost.

Who We Are:

Emil Ares - Founded first company at 16, making six figures. Ex-Cambridge Physicist working on world's most powerful magnets (56MW) at the 1.4GW MagLab facility. Ex-UK Space Agency. Published researcher on AI for complex systems engineering design.

Gad Marconi - Built and deployed on-site data center infrastructure at the 25MW Swiss Flumenthal hydroelectric plant. Ex-AI software engineer at Nuclear and Energy EPC. Ex-TU Delft.

Ask:

If any of these describe you or your organization, we'd love to talk:

  • A neocloud, hyperscaler, developer or similar
  • A professional engineer working in data centers - architects, civil, mechanical, electrical; we’re hiring!

Visit https://marengox.com/ to learn more! Contact us at contact@marengox.com

Marengo
Founded:2026
Batch:Summer 2026
Team Size:5
Status:
Active
Location:San Francisco
Primary Partner:Diana Hu