01
Cost Visibility
Establish the real cost of usage across models, providers, workloads, credits, and internal demand.
AI cost and procurement advisory
Mount Street
AI pricing does not behave like normal software pricing. mt.st sits between buyers and providers to make spend visible, remove inefficiency, and structure commitments with leverage.
The mandate
Most companies do not understand their true cost of AI. Usage is opaque, pricing moves, and commitments are often made before finance has a clear view of exposure.
The problem
Invoices show totals. They do not show whether model choice, routing, credits, context length, or contract terms are working in the buyer's interest.
AI pricing is difficult to compare across providers, models, and usage profiles.
Ownership sits awkwardly between finance, procurement, engineering, and data teams.
Forward commitments can create leverage, or quietly create avoidable obligation.
What we do
01
Establish the real cost of usage across models, providers, workloads, credits, and internal demand.
02
Benchmark pricing, source alternatives, and negotiate terms with a clear view of buyer power.
03
Shape forward agreements around demand, budget cycles, usage confidence, and provider risk.
How it works
We establish true cost from invoices, usage logs, workload patterns, contracts, and ownership.
We determine where usage should be optimised, where pricing can move, and where alternatives matter.
We support negotiations, commitments, sourcing, and governance so control survives implementation.
Why mt.st
mt.st is not a tool, marketplace, or reseller. It is an advisory and brokerage layer for companies that need clearer terms before they commit capital.
Cost review
Share your spend range and provider mix. We will show where cost is visible, where leverage exists, and what should be structured before renewal.
Request a Cost Review