If you self-host AI models, you're likely overpaying 30 to 60% for the same output. We're a boutique studio that finds the waste in your serving layer, proves it in dollars, and cuts it. Before you spend a cent with us.
Read-only, fixed-price, and backed by a 3x-or-free guarantee.
Inference performance is nobody's full-time job. The open-source defaults were tuned for the average workload, not yours. So GPUs sit at 30% utilization, batching leaves throughput on the table, and the bill climbs every quarter while everyone assumes it's just the cost of doing AI.
It isn't. It's a configuration problem wearing a budget problem's clothes. And the only people who can fix it properly are the ones who build inference engines for a living. There aren't many of them, and they're all employed inside Big Tech. That's the gap we exist to fill.
A voice agent serving 2 billion tokens a month. Identical model, identical quality. The only variable is who tuned the serving layer.
| Hosted API | Self-host · default | Self-host · Maralabs-tuned | |
|---|---|---|---|
| Cost per 1M tokens | $4.00 | $1.60 | $0.70 |
| GPU utilization | n/a | ~30% | ~70% |
| Monthly cost | $8,000 | $3,200 | $1,400 |
| You own the stack | No | Yes | Yes |
// Illustrative figures. Even after you self-host, tuning the serving layer cuts the bill another ~56%. That delta is the whole business.
Most teams recover 30 to 60% once the serving layer is tuned. Drag your monthly spend to see the range.
Most "optimization" consultants stop at swapping config flags. That captures the easy wins and leaves the rest. The hard savings live one layer down, in work most teams have never had access to:
18 years of performance-critical C++, working on the op libraries, JIT compilers and GPU kernels that AI models actually run on. This is his day job on an AI accelerator stack, not a weekend skill.
You hand us read-only access. We hand back a map of exactly where your GPU spend is leaking, what each fix is worth in dollars, and how hard it is. No changes to your product. No six-month project.
We measure your real cost per token, GPU utilization and traffic shape. We touch nothing.
Every leak located and sized in dollars, a prioritized roadmap, and a 60-minute readout with your team.
Implement with us, hand the map to your own engineers, or walk away with it. No lock-in either way.
| Do nothing | Hire in-house | Managed platform | Maralabs audit | |
|---|---|---|---|---|
| Time to value | — | 3–6 months | Weeks to migrate | 2 weeks |
| Keeps your current stack | Yes | Yes | No, you migrate | Yes |
| Vendor lock-in | None | None | High | None |
| Cost model | Rising bill | $200k+/yr salary | Margin on every token | Fixed · 3x-or-free |
| Best when | Spend is tiny | You need it full-time, forever | You want someone else to run it | You want the wins without the headcount or lock-in |
If you're under $25k a month or purely on hosted APIs, you probably don't need us yet, and we'll say so. We qualify hard because the guarantee only works when the savings are real.
Most teams capture the obvious wins, and if yours has, the audit confirms it in writing and costs you nothing under the guarantee. The real question is your measured GPU utilization. When teams can't answer that at once, there's almost always double-digit spend hiding in the serving layer.
Cost per token has fallen sharply for years while total bills keep rising, because usage outgrows the discount. And faster hardware running the same misconfigured stack wastes just as much, at a higher hourly rate. The waste is in how the stack is run, not the price of the chip.
Done properly it's imperceptible, and we never ask you to take our word for it. We measure quality with evals before and after every change. If a change moves your quality bar, it doesn't ship. We optimize cost, not your product's behavior.
The audit is read-only. We need to see your serving configuration and a representative traffic profile. We don't touch production, we don't change your product, and nothing is implemented without your sign-off.
We're vendor-neutral. We optimize the stack you already run, wherever you run it. We're not renting you a cloud or moving you onto our platform, so our only incentive is finding you savings on your own infrastructure.
The fit check is free. The audit is a fixed price we agree up front, sized to your setup, and backed by the 3x-or-free guarantee. We qualify first because below a certain GPU spend the numbers don't work in your favor yet, and we'll tell you that honestly.
Tell us what you run and what you spend. We reply within two business days with a straight read. Worst case, you learn your stack is already tight.
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