Jinni AI

An AI orchestration platform that creates venture-specific digital twins for decision support.

ARCHITECTBUILDER

The Venture

Jinni AI builds multi-agent AI systems that serve as digital twins for portfolio ventures. Each deployment combines domain-specific knowledge, real-time data integration, and collaborative interfaces to augment human decision-making.

Why It Matters

AI agents can process information faster than human teams.
Domain-specific training creates more useful assistants.
Multi-agent systems handle complex, interconnected decisions.

Stage & Milestones

RESEARCH

ARCHITECTURE

BUILD

SCALE

REALIZATION

Core architecture

2024-Q3

First deployment

2024-Q4

Platform release

2025-Q2

Enterprise features

2025-Q4

Architecture Highlights

Multi-Agent Orchestration

Coordinated AI agents for complex workflows

Domain Specialization

Venture-specific knowledge and context

Human-in-the-Loop

AI augments rather than replaces human judgment

Heing's Role

Venture Architecture
Defined product vision and technical architecture
Operational Support
First customer and ongoing development partner

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Context & Disclosures

This is not an offer to sell or a solicitation of an offer to buy any securities.

Some information related to this venture is confidential and not publicly disclosed.

Access to additional context depends on qualification and relevance.

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