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Building the financial backbone for the global compute economy

AI RUNS ON COMPUTE, COMPUTE RUNS ON OUTDATED FINANCE

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AI innovation is fast, but buying compute is slow

AI compute demand is growing 5× per year, but financial operations still run on spreadsheets, PDFs, and manual reconciliation.

Compute spend already represents 74% + of IT costs for many AI-heavy companies, but most tenants still experience it as a fuzzy "black box" expense they can't plan, finance, or hedge. Banks and capital providers see exploding demand for AI infrastructure, but lack the data, benchmarks, and structures to confidently underwrite it.

We believe the next decade of AI requires

a neutral financial backbone for compute

that allows us to...

Feature 1
Standardize

Turn physical capacity into a tradeable commodity

Racks, regions, SKUs, and workloads must be modeled as consistent, interoperable units that can be priced, reserved, financed, insured, and reported on across providers.

Feature 2
Measure

Match billing with power usage

Metering, billing, contracts, risk, and financing should live on the same rails, so “what was used” and “what was paid” always match for providers, tenants, and capital.

Feature 3
Trade

Enable the compute market

With the right abstractions and privacy-preserving benchmarks, compute can be reserved in advance, insured, hedged against price swings, and financed like any other asset.

Introducing

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AI Agent for Data Centers Billing

Gnomos Demo

WHO WE BUILD FOR

01
Compute providers
02
Capital providers
03
AI Enterprises

01

Data centers, GPU clouds, managed AI infrastructure

Accurate quoting, transparent billing, clearer risk profiles, and the ability to offer more sophisticated commercial terms to your tenants.

Featured in

January 27, 2026

This Gen Z pair built a $34M startup in Canada, only to move to U.S.

December 15, 2025

GPU pricing, a bellwether for AI costs, could help IT leaders at budget time

December 8, 2025

Tech leaders invest in new startup building billing software for data centers

January 5, 2026

Thirty bold predictions for AI in 2026

January 27, 2026

This Gen Z pair built a $34M startup in Canada, only to move to U.S.

January 27, 2026

Ils bâtissent une «startup» de 35 M$ au Canada, avant de déménager aux États-Unis

December 30, 2025

Gabriel Ravacci: From Physics to Finance, the Unlikely Path to Democratizing AI Compute

December 25, 2025

CEO Mai Trinh and CTO Gabriel Ravacci Reframe AI Compute as an Economic System

December 19, 2025

Internet Backyard Raises $4.5 Million to Tackle Data Centers' $50 Billion Billing Challenge

December 17, 2025

Internet Backyard Raises $4.5M for Compute Finance

December 11, 2025

Internet Backyard Raises $4.5 Million After Moving Startup to the US

December 10, 2025

She tried to bring Silicon Valley's tech energy to Vancouver. Why did she leave to build a US startup instead?

November 7, 2025

Young founders are trying to revive Vancouver's dying startup scene

December 8, 2025

Tech leaders invest in new startup building billing software for data centers

The internet backyard is an infrastructure garden

where new rails can be designed carefully, tested with real operators, and grown into durable public goods. Calm on the surface, deeply technical underneath, and always oriented toward long-term resilience.

Running Gnome
Running Gnome
Running Gnome
From Vancouver to San FranciscoBacked by Jay Adelson, Ian Crosby, Geordie Rose and top tier VCs
Backed by Jay Adelson, Ian Crosby, Geordie Rose and top tier VCsFrom Vancouver to San Francisco