Mentis8 / Ownership
Replace metered inference with capacity you own. Put AI to work across your firm without a provider charging for every local token.
The cost of dependence
Stop paying more every time AI does more. Invest in dedicated capacity, then put it to work across your teams and workflows without a per-token API bill.
With usage-priced APIs, more agent activity means more billable inference. A productive workflow becomes recurring consumption.
Hosted inference sends the context you provide to external infrastructure. A no-training commitment is not the same as keeping inference on your premises.
Your workflows depend on models, access rules and service terms set by another company. You are buying access to its operating model.
An infrastructure supplier can also launch applications that overlap with its partners. An integration does not align your long-term interests.
Recurring API spend purchases a service. It does not give you ownership of the compute delivering it.
Your people supply the knowledge. Your business creates the context. The intelligence built around them should become a durable enterprise asset—not just a larger recurring bill.
OpenAI and Anthropic state that they do not train on commercial customer data by default. That does not make hosted inference local, eliminate usage charges, or give customers ownership of the serving infrastructure. This comparison concerns hosted, usage-priced APIs; consumer subscriptions and negotiated enterprise terms differ.
Ownership is not a promise of lower cost for every workload. Compare useful throughput, utilization, energy, service and licensing over the system’s life.
Why independence matters
A platform can integrate with your tools and expand into their market. Those roles can coexist. Your architecture should account for that conflict.
Figma announces a workflow that turns Claude Code output into editable Figma designs.
Figma announcement ↗Adobe announces plans to bring its creative capabilities to third-party models, including Claude.
Adobe announcement ↗Anthropic introduces its own product for designs, prototypes, slides and other visual work.
Anthropic announcement ↗These are public announcement dates, not contract-signing dates. Product overlap supports a concern about platform dependence; it does not establish misuse of partner data or an intent to eliminate partners.
The Mentis8 position
We stand for enterprises that want to own their infrastructure, retain authority over their context and develop intelligence on their own terms. The goal is capability that strengthens your business—not permanent dependence on someone else’s platform.
The knowledge accumulated by your people should strengthen your organization. A dedicated intelligence system creates a place to develop that capability under your own operating authority.
Mentis8 shifts inference spending from a charge on every token to an investment in dedicated capacity. Within that capacity, more useful agent work can create more value without a matching API bill. Power varies with load; hardware, cooling, software, maintenance and support still cost money. Growth beyond installed capacity requires expansion.
| Cost dimension | Dedicated system | External service |
|---|---|---|
| Capacity | Purchase and operate a defined capacity envelope. | Purchase service under the provider’s pricing and limits. |
| Utilization | Economics depend on sustained useful demand. | Usage-based access may suit variable or occasional work. |
| Operations | Define power, cooling, support and staff responsibilities. | Evaluate service terms, integration and provider dependencies. |
| Model choice | Qualify models and runtimes that can operate locally. | Evaluate models available through the chosen service. |
Identify the equipment and commercial ownership terms.
Define custody, access, retention and export arrangements.
Distinguish operating rights, model licences, updates and support.
A hardware purchase is not a promise of unlimited future software updates or unrestricted rights to third-party models. Those terms should be explicit.
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