AI Orchestration

Investor One-Pager · 2026

aiorchestration.ai

"Intelligent coordination and management of AI models and systems-from deployment to maintenance-into a single, highly effective workflow."

The Problem - The Enterprise Integration Bottleneck

While AI models are powerful in isolation, integrating them into active, complex enterprise environments is chaotic. Businesses struggle with a tangle of siloed data structures, legacy systems, and unpredictable human workflows. Deploying AI across these fragmented organizational layers causes operational friction, high latency, and deployment bottlenecks - preventing companies from realizing the true value of AI-driven automation.

The Solution - AI Orchestration

AI orchestration is the coordination and management of artificial intelligence (AI) models, systems and integrations. It covers the effective deployment, implementation, integration and maintenance of the components in a greater AI system, workflow or app. — IBM

Our Approach: Applied AI for B2B Enterprises
We take IBM's foundational concept and transform it into an actionable growth engine for B2B companies. Rather than deploying isolated AI models, we deliver AI Orchestration as a bespoke, end-to-end service designed for complex organizational environments. By bridging the gap between core systems, SaaS platforms, and enterprise data, we convert cumbersome manual workflows into intelligent, secure, and continuous enterprise-grade automation.

Market Size

$250B+

TAM · Global Enterprise AI

$35B

SAM · Orchestration / MLOps

$50M

SOM · 50 clients × $1M ACV · 36 mo

Business Model

A hybrid model combining scalable infrastructure with high-value customized solutions:

Proprietary Products (SaaS / Licensing) - core, scalable AI products embedded directly into organizational infrastructure.
Custom Enterprise Solutions - bespoke, end-to-end AI architectures tailored to specific company workflows.

Competitive Advantage

Battle-Tested Execution - not theoretical AI wrappers. Hands-on, real-world experience building our own products and deploying tailored ones to clients.
Enterprise-Grade Readiness - architecture built for high-performance pipelines, ensuring absolute trust through strict compliance with every certification.

Traction & Status

We have secured a significant foothold with strategic Enterprise clients, and established active, revenue-generating projects. Our activity includes deploying smart conversational bots (Omnichannel) tailored to various verticals – through WhatsApp, email and any required communication channel; operating advanced AI agents for lead discovery under a B2B Exporters as a Service model; and proven implementation of On-Premise services directly within the client's infrastructure. These execution capabilities provide full validation for our business model and the technological flexibility we offer to organizations.

The Team

Itzhak HirschmanCEO & Chief AI Officer

Lior LevineChief Scientist

Shahar FouchesAI Engineer

Avihu HababoMLOps & AI Full-Stack Developer

Adir MzouzLegal & Strategic Advisor

Meidan LeibovitzBusiness Development

DE NOVOBusiness Development (Ltd.)

Legal Counsel: Ardinest & Co. Law Firm

Investment Opportunity - Series A

Exact funding requirements and round details to be discussed in the meeting.

A) Talent Acquisition & R&D (40%)

Rapidly expanding our elite engineering, MLOps, and Full-Stack development teams to accelerate product roadmaps.

B) Global Expansion & GTM (30%)

Scaling international B2B sales motions and targeted marketing to capture the 50-client SOM target.

C) AI Information Security Division (15%)

Establishing a dedicated division to confront the new AI security challenges that can arise from within the organization.

D) Infrastructure (15%)

Robust, independent cloud computing and low-latency deployment infrastructure to support scaling enterprise operations.

AI Orchestration LLC - Comprehensive Business Plan

Confidential · Internal Document

1. Market Size & Competitive Advantage

TAM (Global Enterprise AI): $250B+
SAM (Orchestration / MLOps): $35B
SOM (Initial Target): $50M - 50 clients × $1M Average Contract Value over 12 months

Competitive Advantage:

Battle-Tested Execution: We do not build theoretical AI wrappers. We rely on hands-on, real-world experience building our own proprietary products and deploying tailored solutions to clients. Operations are powered by high-performance computing hardware (including NVIDIA H100 and RTX 4090 architectures) to ensure rapid inference and execution.
Enterprise-Grade Readiness: Our architecture is built for high-performance pipelines. We ensure complete trust and security through strict compliance with every certification, specifically aligned with ISO 27001, SOC 2 Type II, and ISO 42001 (Artificial Intelligence Management System) standards.

2. Executive Summary

AI Orchestration LLC bridges the definitive gap between raw AI capabilities and daily business operations. We provide a comprehensive platform to coordinate and manage AI models, turning isolated systems and fragmented data into streamlined, autonomous enterprise workflows.

In this round, the company is allocating between 15% and 25% of its shares, at a valuation to be agreed upon in the meeting, to scale infrastructure, expand the elite engineering team, and drive international market penetration.

3. The Problem & The Solution

The Problem - The Enterprise Integration Bottleneck:
While AI models are powerful in isolation, integrating them into active, complex enterprise environments is chaotic. Businesses struggle with a tangle of siloed data structures, legacy systems, and unpredictable human workflows. Deploying AI across these fragmented layers causes operational friction, high latency, and deployment bottlenecks, preventing companies from realizing the true value of AI-driven automation.

The Solution - AI Orchestration:
We deliver seamless coordination and management of AI models, systems, and integrations. By covering the deployment, implementation, integration, and maintenance of diverse AI components within a greater system or app, we cut through the data tangle and turn scattered processes into highly effective, autonomous enterprise solutions.

4. Business Model & Product Portfolio

We utilize a hybrid business model combining scalable infrastructure with high-value customized solutions:

Proprietary Products (SaaS / Licensing): Core AI products embedded directly into organizational infrastructure.
Custom Enterprise Solutions: Bespoke, end-to-end AI architectures tailored to specific company workflows.

Core Products:

AIO-CLAW: A cloud operating system that brings human teams and AI agents into one shared workspace. It allows users to manage tasks, build agents, and design end-to-end systems through a simple chat interface, with no infrastructure setup required.
AIO-CALL-CENTER: AI-powered telephony services leveraging stable, independent infrastructure (Asterisk) to minimize latency and deliver real-time, natural conversational agents.
AIO-DETECTOR: An agentic connection to the client's business data across all security levels, creating full automation processes for data testing, insights, and statistics.
AIO-ALL-IN-ONE: A B2C "Second Brain" app functioning as a personal agent across phone, WhatsApp, and email, performing actions on the user's behalf with full approval and oversight.

5. Traction & Status (Client Products)

The company has already secured strategic clients and is currently executing active, revenue-generating engagements. This seamlessly combines our core proprietary technology with custom product development tailored to the client's operations:

SAMS2SAMS (Vista Systems): A B2B lead-discovery and ranking platform for exporters.
Tadiran Campus: An AI management bot supporting a community of over 10,000 residents.
Eli Signs: A strategic enterprise client actively utilizing our AIO-CLAW and AIO-CALL-CENTER solutions to orchestrate operational workflows and automate customer communications.
Hebrew AI: Included in our client product portfolio as an internal sample startup, developed specifically to showcase our capabilities in localized NLP and transcription.

6. The Team

Itzhak Hirschman - CEO & Chief AI Officer
Lior Levine - Chief Scientist
Shahar Fouches - AI Engineer
Avihu Hababo - MLOps & AI Full-Stack Developer
Adir Mzouz - Legal & Strategic Advisor
Meidan Leibovitz (DE NOVO) - Business Development
Legal Counsel: Ardinest & Co. Law Firm

7. Use of Funds (Allocation as % of Investment)

40% - Talent Acquisition & R&D: Rapidly expanding our elite engineering, MLOps, and Full-Stack development teams to accelerate the roadmap for AIO-CLAW and proprietary autonomous agents.
30% - Global Expansion (GTM) / Sales & Marketing: Scaling go-to-market efforts, establishing a high-performing international B2B sales motion, and deploying targeted campaigns to build a robust pipeline aimed at capturing the 50-client SOM target.
15% - AI Information Security Division: Establishing a dedicated division for enterprise-grade trust, protection, and uncompromising compliance with every certification across every organizational layer.
15% - Infrastructure: Securing robust cloud computing, deploying independent high-performance server clusters, and ensuring highly available, low-latency infrastructure to support scaling enterprise operations.

8. Revenue Projections & Milestones (3-Year Plan)

Year 1 (Foundation & Market Entry): Finalizing all security framework audits to ensure compliance with every certification. Establishing the global B2B sales motion and onboarding 5 to 8 major enterprise clients. Target ARR: $5,000,000.
Year 2 (Growth & Expansion): Deepening the integration of AIO-CALL-CENTER and AIO-CLAW within existing accounts (upselling) while aggressively acquiring new market share. Scaling to 20–25 active enterprise accounts. Target ARR: $25,000,000.
Year 3 (Market Capture): Achieving the SOM target. Positioning AI Orchestration LLC as the definitive industry standard for enterprise integration, reaching 50 strategic clients worldwide with an average ACV of $1M. Target ARR: $50,000,000.