About Et Ai

The Future of Research is Built on Trust

In the world of science, accuracy is the currency of progress. Careers are built on it, and discoveries depend on it. The rise of Large Language Models (LLMs) promised to accelerate this progress, but a critical flaw holds them back: they "hallucinate," generating plausible-sounding information that is often incorrect, unsupported, or simply fabricated.

For a scientist, the risk of hallucinations is a critical shortcoming. This is the problem we were built to solve.

Et Ai is creating a new foundation for scientific inquiry – one where researchers can harness the power of AI without compromising on intellectual rigor. Our platform is designed from the ground up to deliver accurate, verifiable, and comprehensive insights from the entire body of scientific literature, completely free of hallucinations.

Our Approach: A Living Map of Science

Many AI tools simply retrieve and summarize existing papers. We go deeper. Our proprietary technology deeply analyses and interconnects the content of peer-reviewed articles, creating a rich database that reflects the true structure of scientific understanding.

Think of it less as a library and more as a dynamic, ever-growing map of science itself.

This unique architecture allows us to:

• Synthesize Knowledge: We connect concepts across the entire corpus of literature, identifying the true scientific consensus and highlighting areas of debate.
• Ensure Accuracy: Every factual claim is traced back to its original source and compared against the latest findings, eliminating errors and misinterpretations.
• Break Down Barriers: Our system is language-agnostic, meaning we can draw insights from research published in any language and deliver them to you in yours.

Built by Scientists, for Scientists

Et Ai was founded in Brisbane, Australia, by two researchers who experienced the challenges of modern scientific work firsthand. Our greatest advantage isn't just our code; it's our deep understanding of the scientific process.

Richard Ronayne

Co-Founder

Richard is a neuroscientist at the Queensland Brain Institute with a background in computational neuroscience, electrical engineering, psychology, and machine learning.

Frustrated by the limitations of existing research tools, he built the foundational technology that would become Et Ai.

Jayce Rushton

Co-Founder

Jayce is a science and mathematics graduate from the University of Queensland with a background in machine learning, LLM development, and mathematical modelling.

His expertise in building robust, scalable AI systems has been critical in transforming a powerful concept into a world-class platform.

Our Vision

We believe that by solving the problem of trust in AI, we can unlock a new era of discovery. Our goal is to empower researchers, students, and enterprise R&D teams to move faster, work smarter, and focus on what they do best: pushing the boundaries of human knowledge.

Ready to change the way you do research? Join our Discord to access the closed beta today.

Experience Et Ai