Rebootix AI, Inc.
Overview

Company

01 / 10

REBOOTIX AI, INC.

Controlled intelligence infrastructure for high-stakes institutions.

Building OMEGA-1 and OMEGATRON for private deployment, governed reasoning, institutional memory, traceable decisions, and human-controlled execution.

Delaware, USA · Pre-revenue · Preparing for first controlled pilot

Rebootix AI, Inc. · Investor overview01

The problem

02 / 10

Powerful models do not give institutions control.

Institutional question

Where is sensitive information processed?

Institutional question

Which policies govern a recommendation?

Institutional question

Who has authority to approve an action?

Institutional question

Can the institution trace the evidence and assumptions?

Institutional question

What does the institution remember after the decision?

Institutional question

Can the capability operate without depending on an external provider?

The missing layer is controlled intelligence infrastructure around the model.

Rebootix AI, Inc. · Investor overview02

Company thesis

03 / 10

The next durable layer sits around the model.

Models are increasingly available and replaceable. Institutional control is not.

Governed layer

Reasoning

Governed layer

Memory

Governed layer

Authority

Governed layer

Workflow

Governed layer

Audit

Governed layer

Deployment

Governed layer

Human execution control
Rebootix AI, Inc. · Investor overview03

Products

04 / 10

Two systems. One architecture.

Governed intelligence infrastructure

OMEGA-1

The broader governed intelligence environment for institutional reasoning, memory, policy, workflow, audit, and controlled deployment.

Defense and command intelligence

OMEGATRON

The environment within OMEGA-1 for strategic operating pictures, response analysis, coordination, decision evidence, and doctrine memory.

Rebootix AI, Inc. · Investor overview04

First wedge

05 / 10

Start with one controlled workflow.

  1. 01

    One institution

  2. 02

    One workflow

  3. 03

    Approved data

  4. 04

    Named human authority

  5. 05

    Defined policy rules

  6. 06

    Measurable acceptance criteria

  7. 07

    Production decision at the end

The goal is not to prove the entire vision. The goal is to prove that one institution receives enough operational value to expand.

Rebootix AI, Inc. · Investor overview05

What exists today

06 / 10

Research and architecture already developed.

Built

Live research and evidence footprint

Built

15 published research articles in this repository

Built

Two linked Zenodo DOI records and one linked SSRN record

Documented

OMEGA-1 and OMEGATRON architecture and product direction

In development

Controlled workflow interface, governance, evidence, and memory components

Planned for pilot

Private deployment, operational usefulness, and acceptance testing

This website repository does not establish a completed production OMEGA deployment.

Rebootix AI, Inc. · Investor overview06

Early signal

07 / 10

Early strategic signal, not yet revenue.

  1. 01

    Delaware-incorporated US company

  2. 02

    approximately USD 572,000 founder and family capital invested, based on management-provided records

  3. 03

    published research and doctrine

  4. 04

    signed non-binding Saudi strategic MOU

  5. 05

    ongoing discussions regarding a possible partnership and Kingdom deployment path

  6. 06

    no paying customers yet

  7. 07

    first controlled pilot is the next milestone

The company has strategic interest. It now needs independent operational validation.

Rebootix AI, Inc. · Investor overview07

Go to market

08 / 10

Design partner to controlled pilot to production.

  1. 01

    Operator or strategic introduction

  2. 02

    Workflow qualification

  3. 03

    Readiness assessment

  4. 04

    Controlled pilot

  5. 05

    Evaluation and security review

  6. 06

    Production deployment

  7. 07

    Expansion

Initial target

US operator angels

Initial target

Design partners

Initial target

Strategic family offices

Initial target

Government and critical-infrastructure innovation teams

Initial target

Deep-tech or government-access accelerators

Initial target

Institutional partners able to sponsor a controlled pilot
Rebootix AI, Inc. · Investor overview08

Business model

09 / 10

Software economics built on controlled deployment.

Potential revenue layer

Paid readiness and pilot engagement

Potential revenue layer

Platform licensing

Potential revenue layer

Deployment and integration

Potential revenue layer

Annual support

Potential revenue layer

Security and policy updates

Potential revenue layer

Mission modules

Potential revenue layer

Institutional expansion

Final pricing, gross margin, hardware ownership, and delivery model will be validated through the first deployments.

Rebootix AI, Inc. · Investor overview09

Team and round

10 / 10

Capital to reach the first independent proof point.

Co-Founder and CEO

Muhammad Laraib Khan

Founder-led product vision, company strategy, institutional positioning, and sovereign intelligence architecture.

Round

[ROUND TARGET — FOUNDER TO CONFIRM]

Use of funds is focused on the first independent proof point.

Use of funds

Controlled pilot

Use of funds

Product hardening

Use of funds

Security and compliance readiness

Use of funds

Senior US institutional operator

Use of funds

Engineering and integration

Use of funds

Repeatable deployment package

The financing objective is simple: convert founder-funded architecture into independently validated institutional capability.

Request an Investor Discussion · briefings@rebootix-research.com