Marin.

AI capacity behind the meter.

The Problem

• Demand for AI inference is exploding
• Datacenter construction is gated by power, politics, and siting, not by chips
• Gigawatt campuses take years and land where the grid allows
• 97% occupancy, 77% pre-leased - new supply is spoken for
• Buyers are increasingly latency-sensitive about where inference runs

The next unit of AI supply must be distributed in nature.

What is Marin?

• Modular data centers deployed behind the meter in commercial buildings
• An orchestration fabric makes many small sites one schedulable network
• We buy the GPUs, fund the install, pay the power, run the site
• Reserved capacity contracted to labs, clouds, and enterprises
• Idle capacity sold into burst markets

We turn underused commercial power into AI infrastructure.

The Hardware

• Quiet and water-cooled, built for commercial buildings
• Dual PDU feeds, metered, conditioned, remotely managed
• Sized to the electrical headroom a building already has
• Whole-model serving first, distributed execution later

How it works

1. Racks install at host sites that already have power headroom
2. The fabric abstracts every site into one addressable pool of capacity
3. Orchestration places models and schedules work by SLA, price, latency, and region
4. Localized routing and redundancy create a CDN-like inference experience

Racks are capex. The fabric is the compounding asset.

The Host Offer

• The host provides space and access to power it already holds
• Marin funds hardware, install, electricity, and operations
• A guaranteed $50/kW per month, or 5% of post-power revenue if greater
• About $125K a year per rack, from roughly 200 square feet
• Recurring AI revenue, no GPU exposure, no datacenter staff

A new NOI line. No capex, no utilization risk.

Cell towers proved the property-owner playbook; Helium proved the operating model. Marin places, finances and operates the asset - the owner shares revenue without running a datacenter.

GTM

1. Launch at 5 pilot sites in Los Angeles (already committed, est. 1.25MW)
2. Negotiate anchor LOIs before hardware ships, finalize once we prove performance
3. Install 6 NVL72 racks; prove latency, uptime, thermals, ops
4. Earn aggregator revenue from day one, not just on idle hours
5. Repeat city by city

Revenue on day one. Contracts once the record exists.

how we fill the racks

Demand

• Routers. Listed on OpenRouter from day one. Traffic arrives based on price and latency at zero acquisition cost
• Platforms. Fireworks, Together and Baseten buy regional capacity wholesale - one contract, large volume
• Marketplaces. SF Compute and Vast.ai set the floor beneath backfill
• Anchors. Two or three per metro, founder-led: latency-bound and regulated workloads
• Proof. A head-to-head latency benchmark from inside their metro, not a deck

Supply is scarce. Utilization is a credibility problem, not a demand problem.

per gb300 nvl72 rack · annual

Illustrative Economics

Sell capacity like a utility. Finance it like real estate.

Illustrative. 72 GPUs at a blended $5/GPU-hour, 85% utilization; mid-2026 street rates ranged $3–18. 130kW IT, PUE 1.2, $0.16/kWh. Host takes the greater of $50/kW-month or 5% of post-power revenue. Rack $3.9M (estimate) plus $300K install. Rates compress when Rubin ships.

Why now?

• Power, not silicon, is the binding constraint on AI capacity
• Roughly 97 GW of new data-center capacity forecast by 2030
• Data-center electricity use nearly doubles by 2030, to ~950 TWh
• Half of 2025 projects slipped; lead times average 33 weeks
• Modular and micro data centers: roughly $48B a year by 2030

Not replacing hyperscale. Adding a faster layer beside it.

Competitive Landscape

The wedge is speed to power, locality, and the fabric that ties it together.

Managed inference platforms - Fireworks, Together, Baseten - are channel, not competition. They own the developer relationships and are capacity-constrained; Marin is regional supply underneath them.

Founding Team

• Amir Haleemceo

  Founded Helium and built the world’s largest decentralized wireless network, with more than a million distributed nodes, and millions of daily cellphone users.

• Frank Mongcro

  Founding member and COO of Helium, running sales and business development. Before that, 25 years in security leadership at Palo Alto Networks, Hortonworks, and HP.

• Charles Kimcfo

  Founding partner of Orion Capital. Previously 20 years as EVP at Wells Fargo Commercial Capital as Head of Strategy, Head of Capital Markets, Head of Syndication. Sourced, syndicated, and purchased nearly $50 billion of senior bank debt.

• Mark Phillipscdo

  EVP of business development at Helium, where he drove the AT&T, T-Mobile, and Telefónica carrier partnerships and built the off-grid disaster-relief hotspot program.

Our team built the largest decentralized physical network in the world. Marin solves the same problem, except supply constrained.

Ask

• Raise $20M seed to certify the first commercial unit
• Secure three anchor LOIs and three to five host partners
• Deploy 6 NVL72 racks across the Los Angeles cluster, equity plus equipment finance
• Live aggregator revenue first, reserved scheduling layered on top
• Prove uptime, cross-metro routing, margin, and refinanceability

A repeatable, financeable metro playbook in 12–18 months.

• Amir Haleem · founder & ceo
• amir.haleem@gmail.com