AUI

Company Overview

Snapshot

Founded in September 2017 by Ohad Elhelo and Ori Cohen, AUI operates with 51–200 employees. The company has raised a total of $41.2M across 6 funding rounds from 11 investors. In February 2026, AUI acquired Quack, significantly expanding its R&D capabilities.

Business overview

AUI develops AI agent technology, with its core product Apollo being a language model that merges the conversational capabilities of generative AI with the predictability of rule-based AI. This neuro-symbolic architecture enables companies to fine-tune AI agents for enhanced accuracy, safety, and performance. AUI primarily serves the business software sector, focusing on enterprise and professional services, including SMBs and larger enterprises, with applications in marketing and sales.

Strategic signal

In February 2026, AUI acquired Quack, a move that reportedly doubled AUI’s Israeli R&D presence. This acquisition signals a strategic focus on strengthening the company's capabilities in structured AI execution, indicating a commitment to advancing its hybrid symbolic-generative model for more precise and reliable AI applications.

Company Intelligence Q&A

What is AUI's primary product?

AUI's primary product is Apollo, a language model for AI agents that combines generative AI's conversational skills with rule-based AI's predictability and actionability. This neuro-symbolic architecture allows for fine-tuning agents with high levels of accuracy, safety, and performance.

When was AUI founded and by whom?

AUI was founded in September 2017 by Ohad Elhelo and Ori Cohen.

What was a significant strategic move by AUI in early 2026?

In February 2026, AUI acquired Quack. This acquisition was estimated at $15 million and doubled AUI’s Israeli R&D presence, reinforcing the company's focus on structured AI execution.

What is AUI's approach to AI agent development?

AUI's approach centers on a hybrid symbolic-generative model, which the company states can manage structured, task-based conversations more effectively than traditional ChatGPT-style systems. This allows for greater control and reliability in AI agent interactions.