Pre-Launch · Sub-50ms P50 in internal testing · Reserve $2.00 / 1M Tokens
You're writing five-figure monthly checks to providers who rate-limit you at peak, lock you into proprietary APIs, and price inference like it's still scarce. We're building NOVO Inference to fix that — flat $2.00 per 1M tokens for early partners who sign our non-binding Letter of Intent now (regular rate at general availability: $4.00), sub-50ms P50 latency observed in early internal testing (independent benchmarks to follow at launch), and an OpenAI-compatible API designed for a true drop-in migration.
The Problem
OpenAI at $15/1M on GPT-4o means inference is eating 30%+ of your COGS before you've shipped a feature. As usage scales, the bill scales faster than revenue — and there's no committed rate protecting you.
Big providers throttle exactly when your traffic spikes. You built for scale. They built for average load. That gap turns into a P1 incident and a trust problem with customers who depend on your product.
Shared GPU pools, cold starts, cross-region routing — 200ms+ P99 is baked into every major provider's architecture. Every extra 100ms is a measurable drop in engagement and conversion.
Most hyperscalers retain inference data by default. Your proprietary prompts, business logic, and user interactions are potential training material for the same competitors you're trying to outmaneuver.
The Solution
Six things our architecture is designed to deliver once we launch.
From $15 to $2.00 per 1M tokens. Flat. Committed. No billing surprises, no per-request minimums. This $2.00 pre-launch rate is reserved when you sign a non-binding LOI today — the planned rate at general availability is $4.00.
We're building on a high-efficiency unified-memory architecture, with compute already procured and online. In early internal testing on our test environment, we're observing sub-50ms P50 — no shared GPU pool, no cold starts. We'll publish independently reproducible benchmarks ahead of launch.
Throughput capacity reserved at contract stage is core to how we're architecting the platform. The goal: your traffic spikes are our problem to absorb, not yours to engineer around.
We're building a 100% OpenAI-compatible REST API — change one env var, base_url, and you're live. Same SDK, same streaming, same tool-calling spec, no refactoring. This is in active development now; we'll open access as soon as it's ready.
Strong data isolation and zero-retention are core principles we're designing the platform around, not features bolted on later. Your prompts and outputs are meant to stay yours. We'll publish full architecture and security documentation as that part of the build ships.
Hyperscalers treat you like a ticket number; we treat you like a design partner. Enterprise tier includes direct Slack connect with our core engineering team and a targeted 99.99% uptime SLA. If you have a custom deployment need or architectural question, you speak directly to the engineers building the platform.
Who It's For
Cost Comparison
Our target pricing and architecture goals against today's public list prices.
| Provider | NOVO (target) | OpenAI GPT-4o | Anthropic Claude | AWS Bedrock |
|---|---|---|---|---|
| Price / 1M Tokens | $2.00* | $15.00 | $15.00 | $8+ |
| P50 Token Latency | <50ms** | 200ms+ | 200ms+ | 150ms+ |
| OpenAI-Compatible API | ✓ | ✓ | ✗ | ✗ |
| Flat Committed Rate | ✓ | ✗ | ✗ | ✗ |
| No Rate Limits (by SLA) | ✓ | ✗ | ✗ | ✗ |
| Confidential Computing (Zero-Retention) / Private In-Memory Inference | ✓ | ✗ | ✗ | ✗ |
* Target pre-launch rate reserved via non-binding LOI. Planned rate at general availability: $4.00.
** Observed in early internal testing; independent benchmarks to follow at launch.
Early Access
Reserve our $2.00 / 1M Token pre-launch rate now (planned rate at launch: $4.00). We use your non-binding LOI to prioritise onboarding and finalise capacity planning — so you're first in line when we go live.
Thank you. We have received your digital LOI and sent the signed PDF to your email address. Our team will contact you with a confirmation and keep you updated on our progress.