INVESTOR OVERVIEW

A platform business
with a hardware-validated moat.

Deployed hardware. Recurring software revenue. Data network effects. The interconnect layer of AI infrastructure is unowned — and we are claiming it.

Datafabrix growth trajectory chart
A CAPITAL-EFFICIENT PATH

From engineering-validated foundation today to platform scale by 2030.

Anchored in a proven engineering team with shipped production hardware. De-risked by the PCIe Gen6 thermal-aware smart backplane that the entire platform is co-designed around. Built to compound.

AT A GLANCE

The Datafabrix opportunity, in one page.

2026

Platform foundation sampling

PCIe Gen6 Thermal-Aware Smart Backplane — Layer 1 of the platform.

7

Platform modules

Unified data plane. Common APIs.

$200B+

AI infrastructure TAM

by 2030, growing >30% CAGR.

$100M

ARR target

by 2030, on a capital-efficient path.

WHY THIS COMPANY SCALES

Six reasons we will be a category-defining platform.

Hardware-enabled SaaS

Our backplane lands the account. Software compounds the value. Every deployed device extends the data plane — and the recurring revenue base.

Recurring subscription revenue

Platform modules are licensed per fleet, per site, or per device. Multi-year enterprise subscriptions with the gross-margin profile of vertical SaaS.

Data network effects

Every fleet that joins improves the underlying AI models. More telemetry → better prediction → better outcomes → more customers. A moat that strengthens with scale.

Platform expansion

Seven modules mapped today. Adjacent expansion (power, network, cooling intelligence) on the roadmap. Each module multiplies revenue per customer without multiplying go-to-market.

Massive TAM

AI infrastructure spend will exceed $200B by 2030. The intelligence layer captures a software multiple on top of a hardware market that is already running at hyper-growth.

Proven team & advisors

Founder with 22+ years and 24+ tape-outs across Broadcom, Google, Boeing. Advised by Bay Area semiconductor veterans. We have shipped before.

ROADMAP TO $100M ARR

A capital-efficient path, anchored in field-validated hardware.

Each phase de-risks the next. Hardware revenue funds platform development. Platform revenue compounds.

Phase 1 · Today

Foundation

PCIe Gen6 Thermal-Aware Smart Backplane in active development as the Layer-1 foundation of the platform. Engineering team has independently demonstrated shipping production hardware (see About).

Target: $5M+ Gen6 design-win commitments

Phase 2 · 2026–27

Hardware + Software

Thermal & StorageOS modules in beta. Guardian alpha. First hyperscaler design wins. Second customer signed.

Target: $15M ARR

Phase 3 · 2028

Platform scale

Full 7-module rollout. OEM partnerships. Multi-site fleet management. International expansion begins.

Target: $45M ARR

Phase 4 · 2030

Category leader

Data center OS integrations. International scale. Adjacent platform expansion. Path to strategic outcome.

Target: $100M+ ARR

COMPARABLE OUTCOMES

The market is paying premium prices for AI infrastructure companies.

Datafabrix is building the intelligence layer that sits on top of these markets — capturing software multiples on a hardware foundation that is already validated.

$540M

XConn Technologies

Acquired by Marvell · CXL/PCIe switches

$3.25B

Celestial AI

Acquired by Marvell · Photonic fabric

$3.8B

Ayar Labs

2026 valuation · Photonic interconnect

$4.4B

Lightmatter

2025 valuation · Photonic AI interconnect

USE OF FUNDS

Capital-efficient. Hardware-funded.

Datafabrix is uniquely positioned to compound capital because our hardware is already revenue-generating. Investor capital accelerates platform velocity — it does not fund first-principles silicon R&D.

  • 60% — Platform engineering: Layer-2 telemetry, Layer-3 AI/ML, Layer-4 control plane
  • 25% — Customer acquisition: hyperscaler, cloud, and storage OEM go-to-market
  • 15% — Team & operations: senior platform, security, and customer-engineering hires
Capital flow visualization
CURRENTLY RAISING

Let's talk.

We are talking with strategic investors who share the conviction that AI infrastructure needs an operating system — and who can help us scale beyond the bay.