The Thesis · The Infrastructure Shift

NOVO Decentralized Inference Infrastructure — the first building block of a global compute orchestrator

The Status Quo

A monopoly of hyperscalers and a single chip manufacturer controls the supply and price of AI compute.

The Promise

NOVO secures wholesale inference capacity in energy-efficient data centers and delivers it globally through an OpenAI-compatible API – standard inference at market price, sovereign EU inference at a fraction of the cost of the proprietary stack.

Phase 1 (today): wholesale inference arbitrage in energy-efficient regions. Phase 2 (from 2029): horizontal orchestration across GPU, training, and storage capacity.

01

The Problem · The Price Dictate

A Monopoly Dictates
the Price of Intelligence

01

The Structure

A monopoly of hyperscalers and a single chip manufacturer determines supply, access, and price for AI compute.

02

The Real Bottleneck

Ideas don't decide growth — power, capital, and Nvidia allocations do.

03

The Consequence

AI companies pay monopoly prices and accept waiting lists because no structural alternative exists.

02

The Solution · The Alternative

Infrastructure Without
Owning Data Centers

Airbnb owns no real estate
Uber owns no cars
NOVO owns no data centers

from $0.80

per 1M tokens (standard)

Consistent

streaming latency

0

artificial rate limits

Secured wholesale capacity in energy-efficient data centers — far below the cost base of classic hyperscalers.

The entry point is inference. The same sourcing and contracting logic carries the expansion into further compute categories — the structural core of the marketplace model: aggregating demand without owning the underlying asset.

03

The Product · The API

Integration Without
Migration Risk

The Integration

100% OpenAI-compatible REST API. Migration in a single line of code — no refactoring of existing applications.

The Architecture

Aggregated wholesale GPU capacity from data center partners — no owned hardware, no depreciation risk.

The Performance

No artificial throttling within booked capacity — contractually secured wholesale blocks are distributed dynamically across customer traffic, with transparently communicated burst allowances for load spikes.

04

The Market · Positioning

Three Categories of
Compute Providers

01

Hyperscalers

AWS, Azure, Google Cloud. Fully integrated stack, high prices, long waiting lists for current GPU generations, little price competition.

02

Inference Specialists

Together AI, Fireworks, Groq, DeepInfra. Efficient open-weight inference at competitive prices — without a structural cost advantage from energy location.

03

NOVO

Market comparison, Q2 2026 (Llama 3.3 70B class): Together AI $0.88/1M, Fireworks AI $0.90/1M, Groq $0.59 input / $0.79 output per 1M at industry-leading speed (250+ tokens/sec). NOVO stands at $0.80/1M tokens standard rate — on price parity with Together/Fireworks, without Groq's speed edge. The differentiator is therefore not raw price, but EU/GCC data residency, bundled enterprise SLAs, and dedicated capacity guarantees.

View Full Market Analysis →

05

The Moat · Enterprise Security

Security as
a Design Principle

0-LOG

Zero-Retention by Design

Every request is processed in an isolated process environment (process isolation). Prompts are never stored, logged, or used for training.

SLA

Data Residency & SLAs

Optional EU data residency and dedicated routing secure contractual enterprise SLAs for regulated industries. By aggregating across multiple capacity providers, bundling SLAs, and offering sovereign routing, NOVO remains the more reliable layer than going direct to any single provider.

06

Risk & Resilience · Regulatory Framework

Capacity That Holds Up
Under the Export Regime

The Framework

The US export control framework for advanced AI chips into the Gulf region was expanded in November 2025 for select licensed entities (including HUMAIN in Saudi Arabia and G42 in the UAE), but remains license-bound and volume-capped.

Our Safeguard

Capacity sourcing exclusively through licensed, export-control-compliant regional partners, with contractually fixed end-use and compliance checks. Additional locations with comparable energy cost structures are continuously evaluated to diversify beyond the Gulf region.

07

The Structure · Capital & Capacity

The Bridge Between
Delaware and Riyadh

US
NOVO Group Inc.
Delaware, USA

Capital access, intellectual property, and USD revenue base — prepared for a dual-track exit.

Capital Access IP Holding Dual-Track Exit
Global Structure
KSA
NOVO Arabia RHQ
Riyadh, KSA

Operational hub for capacity sourcing, energy arbitrage, and B2B access across the GCC.

Capacity Energy Arbitrage GCC Access
08

The Economics · Price & Margin

The Structural
Price Advantage

Proprietary Frontier APIs (GPT-4-class) $5–15 / 1M Tokens
NOVO $0.80 / 1M Tokens
Selling Price $0.80
Capacity & Energy $0.48
NOVO Gross Profit $0.32 · 40% Margin

Market-rate pricing with a realistic 40% gross margin — EBITDA-positive from 2028, cumulative break-even in Q3 2029, asset-light with no data centers of our own. Model assumptions (customer count, utilization, price development) in the appendix.

Note: this comparison sets NOVO's open-weight inference cost against proprietary frontier model APIs — comparable output quality for standard enterprise workloads, not an identical model. Direct competitive comparison against open-weight providers (as of Q2 2026): Together AI $0.88/1M, Fireworks AI $0.90/1M, Groq $0.59 input / $0.79 output per 1M at superior speed. NOVO's $0.80/1M sits between Groq and Together/Fireworks on price — the competitive edge lies in data residency and SLA bundling, not a dominant price gap.

09

Scaling & Vision

A Network Effect
That Reinforces Itself

The Mechanism

More purchased capacity unlocks more demand — a self-reinforcing effect, secured by the LOI price freeze.

The Price Anchor

Every LOI customer locks in the price permanently — a structural incentive for early demand commitment.

$0.80 locked permanently for LOI customers

2028

~$87M net revenue

2030

~$410M net revenue

~$2.3B

Modeled Series C valuation 2030

Assumptions (customer count, ARR/customer, multiple) in the appendix. Expansion stage: from Phase 2, the network effect also carries beyond inference into training and storage capacity — see roadmap.

10

The Roadmap · Milestones

4 Years to
Operational Maturity

Year 1
Foundation

Binding capacity allocation, API MVP, and first LOI customers.

Year 2
Certification

SOC 2 and ISO 27001 certification, EU data residency, launch of enterprise beta.

Year 3
Profitability

Turn to positive EBITDA in live operations.

Year 4
Capital Markets

Series B preparation and evaluation of concrete exit paths.

Phase 1 (Year 1–2): the inference wedge. Phase 2 (Year 3–4): platform expansion. The Series C valuation shown on the growth slide sits beyond this 4-year horizon (Year 5+) and depends on successfully closing Series B in Year 4.

11

The Ask & Use of Funds

$35M Seed Round to
Secure Capacity and Market Access

Use of Funds

Capacity BD & Data Center Deposits $9M
Platform Engineering & Core Software $8M
Ijara Financing (Leasing Collateral) $6M
Compliance, Riyadh RHQ & Legal $6M
Sales & Enterprise Marketing (S&M) $6M

Ijara: a Sharia-compliant leasing instrument used to secure hardware-adjacent assets without additional equity dilution.

The NOVO Principle

Secure We secure binding capacity allocations with data center partners.
Connect We connect this capacity to demand through a 100% OpenAI-compatible API.
Protect We protect it through zero-retention architecture and enterprise SLAs.
Scale We scale through LOI-bound demand toward Series B.

The structural undersupply of inference capacity is real.

NOVO secures access to it — on terms not available in the market today.

12