Concrete Engine

AI Infrastructure. Anywhere. Instantly.

About Concrete Engine

Concrete Engine builds modular, containerized “AI factories” — distributed, GPU-dense compute units that can be deployed anywhere.

We solve the cost, latency, and data-sovereignty challenges of today’s hyperscaler clouds by bringing high-performance computing closer to where data is generated.

Our solution combines:

Distributed, Containerized Compute Units – Modular datacenters that scale on-demand and can be deployed globally.

GPU-Direct Storage – Data stays close to compute with bus-speed interconnects, eliminating costly and insecure data movement.

Transparent Orchestration – Your workloads are automatically scheduled and run on exactly the resources you need, when you need them.

Deploy Anywhere – Edge, on-premises, or cloud-connected — no hyperscaler dependency required.

We focus on verticals that demand massive compute with strict data control — defense, pharma, agriculture, and AI/ML research — enabling them to run secure, low-latency workloads at a fraction of hyperscaler cost.

Our vision is to create the “Mac of data centers” — a simple, powerful, and sustainable way to deploy compute anywhere in the world.

Tagged with

Team

Problem statement

High-performance computing (HPC) is becoming a critical bottleneck for AI, scientific research, defense, pharma, and agriculture. Hyperscaler clouds are expensive, slow to provision, and often fail to meet strict data sovereignty, latency, and cost requirements.

Cost: GPU prices on major clouds can be 5–10× higher than optimized infrastructure.

Latency & Bandwidth: Moving massive datasets (genomics, drone imagery, sensor data) to centralized clouds wastes time and money.

Sovereignty & Security: Enterprises and governments often need compute physically located on-site or in-country, outside public cloud control.

The Market
The global AI infrastructure market is projected to exceed $100B by 2030, with edge AI and on-premise compute being the fastest-growing segments. We target industries that cannot rely solely on hyperscalers:

Defense & Aerospace: Sovereign AI and secure, air-gapped compute.

Pharma & Healthcare: On-premises compute for patient data and drug discovery.

Agriculture: Real-time drone and sensor analytics at the edge.

Industrial AI: Factories and utilities requiring low-latency inference.

Concrete Engine meets this need with distributed, containerized, GPU-dense micro-datacenters that can be deployed anywhere — reducing cost, improving speed, and keeping data where it belongs.

Traction information

We built our POC micro AI centers in OK and IN with $600K that we raised up to date.
We have over 5 contracts that will bring us $250K MRR within 12 months.

Product video

Milestones

March 2025

Signed first contract

We signed a large contract with AgRPA and seeking investments to fullfill the contracts.

February 2025

First Modular Data Center Deployed

We built our first modular center in Madill OK.

October 2024

We joined Rally in Indianapolis

We designed and architected our first orchestration software demo

September 2024

First POC Mobile Data Center Deployed

We have built our first micro/mobile data center in West Lafayette

Updates

Laura has visited this profile using a private link.
Added about 6 hours ago
Kevin Landtroop has visited this profile using a private link.
Added about 23 hours ago
Kyle Hendrick has visited this profile using a private link.
Added 2 days ago
Profile created.
Added 18 days ago

Funding

Currently raising capital

$200,000
committed
$1,000,000
round goal
Total raised to date:$600,000
Pitch is a Capital Factory product. © Capital Factory 2024. Privacy policy.