Why We Chose Zero-Markup Pricing for AI Infrastructure

The prevailing business model in AI infrastructure is simple: buy compute wholesale, sell it retail. Platforms mark up model inference by 3x to 5x, bundling it with proprietary tooling that creates switching costs. It is a lucrative approach—and a fragile one.

We chose a different path. Orbit Shift charges a flat platform fee and passes through all inference costs at zero markup. The client pays OpenAI, Anthropic, or their self-hosted provider directly. We never touch the model bill.

The logic is straightforward. In a market where model costs are dropping 10x every 18 months, building margin on inference is building on sand. The value we deliver is in orchestration, reliability, and the intelligence layer—not in reselling tokens.

Building margin on inference is building on sand.

This approach also aligns incentives. When we do not profit from increased model usage, we are incentivized to optimize—to reduce unnecessary calls, to cache intelligently, to route to the most cost-effective model for each task. Our clients average costs drop over time, not rise.

The response from the market has validated the thesis. Enterprise prospects who previously required six-month procurement cycles now close in weeks. When the pricing is transparent, trust follows.

When the pricing is transparent, trust follows.

We believe this model will become the standard within two years. The platforms still charging 4x markup on GPT-4 inference will face the same reckoning that hit telecom resellers when bandwidth became a commodity.