What Et Ai Labs does

Et Ai Labs Pty Ltd is an Australian AI research infrastructure company headquartered in South Brisbane, Queensland, founded by neuroscientist Richard Ronayne (Queensland Brain Institute) and mathematician Jayce Rushton (University of Queensland). The company's core product is the Wisdom Layer — a continuously audited, conflict-aware knowledge system built from over 15 million ingested biomedical papers, in which every scientific claim carries a derived confidence score computed from replication count, effect sizes, methodology quality, and statistical integrity. Claims are linked through explicit dependency chains so that when a foundational finding is questioned, downstream findings are automatically surfaced and re-evaluated. An agentic pipeline continuously processes new literature, extracting claims, auditing conflicts, and updating confidence scores across the knowledge graph.

The platform is positioned to address the scientific replication crisis — a vendor-stated claim that only 11% of landmark cancer papers replicate, half of psychology papers contain statistical errors, and over 50% of preclinical research cannot be reproduced. Target customers are pharmaceutical R&D teams, clinical research organisations, and academic institutions, with secondary positioning as infrastructure for downstream AI research tools that need to query literature confidence before synthesis. Distribution is primarily through a closed beta via a private Discord community, with enterprise access offered via API and custom domain overlays that allow proprietary internal research to be cross-referenced against published literature within fully private tenants.

The business model combines subscription-based self-serve tiers (Free, Pro, Team billed monthly or annually via Stripe) with enterprise licensing. The company is privately held with no disclosed external funding, operates from a single registered office in Brisbane, is GDPR-compliant for EU enterprise sales, and is currently in closed beta (2025). Naming a closing year is not disclosed; the company website footer references 2026, consistent with an active pre-seed or seed-stage operation.

Name

Et Ai Labs

Legal name

Et Ai Labs Pty Ltd

Website

https://etai.app

Company type

Private

Founded year

2024

Operating status

Operating

Headcount range

1–10 employees

Short description

Et Ai Labs is an Australian AI company that built the Wisdom Layer, a knowledge system scoring biomedical literature claims on confidence. It serves pharmaceutical R&D teams, clinical research organisations, and academic institutions via enterprise API and subscription tiers.

Ownership category

akta.pro rank

Product category

Scientific Literature Intelligence Software

NAICS

Software Publishers (5132), Scientific Research and Development Services (5417)

SIC

Services-Commercial Physical & Biological Research (8731), Services-Prepackaged Software (7372)

akta.pro primary industry

AI/ML Platforms for Drug Discovery & Experiment Optimization (HLAGAJAO)

akta.pro secondary industries

Audit, Explainability & Accountability Tooling (traceability, reporting) (HDAAAKAL), Safety, Alignment & Content Moderation (Guardrails, Red Teaming) (HDAAACAI), Regulatory Readiness & Audit Automation (e.g., EU AI Act, NIST AI RMF, ISO/IEC 42001) (HDAAAMAE)

Keywords

• Scientific literature analysis
• AI research platform
• Biomedical knowledge graph
• Confidence scoring system
• Enterprise research API

Headquarters

HQ city

Brisbane

HQ country

Australia

HQ region

Oceania

Offices1 record

Markets served

GTM type

B2B

Offering type

Software

Cost components

Technology or R&D, Personnel, Infrastructure, Marketing or Sales, Operations

Revenue model

1. Enterprise API Access: Enterprise clients (pharmaceutical R&D teams, clinical research organisations, and academic institutions) access the Wisdom Layer via API with custom domain overlays allowing proprietary internal research to be cross-referenced against published literature within fully private tenants. Billed on a subscription basis with varying tiers.
2. Subscription Plans: The platform is provided on a subscription basis with different tiers (Free, Pro, Team) with varying features and usage limits. Paid subscriptions are billed in advance on a recurring basis (monthly or annually) via Stripe payment processor.

Pricing tiers

Go-to-market motion2 records

Distribution channels2 records

Marketing channels3 records

Core offering

Et Ai Labs builds and sells the Wisdom Layer, a continuously audited, conflict-aware knowledge system that assesses scientific claims on their epistemic merit using derived confidence scores derived from replication count, effect sizes, methodology quality, and statistical integrity. The platform is delivered through a conversational chat interface and an enterprise API that allows pharmaceutical R&D teams, clinical research organisations, and academic institutions to cross-reference proprietary internal research against published literature within fully private tenants. Customers pay via subscription tiers (Free, Pro, Team) and enterprise licences.

Product overview

ET AI is a single unified AI-powered research platform built around the proprietary Wisdom Layer - a continuously audited, conflict-aware knowledge system that assesses scientific claims on their epistemic merit. The platform offers a conversational chat interface for querying over 15 million biomedical papers, with confidence scores derived from replication data, effect sizes, and methodology quality. Enterprise clients access the Wisdom Layer via API, while consumer users can choose from Free, Pro, or Team subscription tiers.

Differentiator

Problem solved

Functional benefit

Products and services

• ET AI Platform
• Wisdom Layer
• Enterprise API Access
• Chat Interface

Quantifiable outcome

• Due diligence time reduced from 6 months to 30 seconds for drug target validation
• +3 more outcomes

Named customers3 records

Segments4 records

Ideal customer profiles4 records

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

AI capability4 records

Feature4 records

Scale indicators3 records

Recent moves6 records

Expansion highlights6 records

Broad incumbents

• OpenAI: OpenAI's ChatGPT and API ecosystem increasingly incorporate tool-use and citation grounding that overlap with AI research assistant use cases. As a general-purpose foundation model provider, OpenAI represents the largest commoditisation risk to ET AI's positioning.
• Anthropic: Anthropic's Claude model family is widely used by researchers and is referenced on ET AI's own website as a potential API consumer. Anthropic's continued capability gains in long-context document analysis represent a broad incumbent competitive threat.
• Semantic Scholar: Semantic Scholar (Allen Institute for AI) is a free AI-powered scientific literature search and discovery tool with massive scale. While not focused on confidence scoring, it serves as the default literature search infrastructure competing for academic user mind-share.
• BenevolentAI: BenevolentAI applies AI to drug discovery by mining scientific literature and biomedical data. It targets pharma R&D teams directly with broader end-to-end drug discovery capabilities, making it a broad incumbent competitor for ET AI's pharma segment.
• Insilico Medicine: Insilico Medicine operates an AI-driven drug discovery platform combining literature analysis with target identification and pipeline development. It is a broader incumbent competing for the same pharma R&D budgets as ET AI.

Direct peers

• Scite: Scite classifies scientific citations as supporting, contrasting, or mentioning and surfaces how studies have been cited. It is the most direct competitor to ET AI's literature-confidence assessment concept, addressing similar epistemic questions about scientific evidence.
• SciSpace (Typeset): SciSpace provides an AI copilot for reading, writing, and publishing scientific papers, including literature search and explanation. It serves researchers and academic users with overlapping workflow needs to ET AI's pharma R&D and academic customers.
• Elicit: Elicit is an AI research assistant that searches and summarises scientific papers to answer research questions. It targets researchers and competes for the same primary user base of pharma R&D and academic users seeking literature-grounded AI assistance.
• Consensus: Consensus is a search engine that pulls findings directly from peer-reviewed studies, with a confidence-oriented positioning around peer-reviewed evidence. It targets researchers and clinicians evaluating scientific claims, overlapping directly with ET AI's primary segments.

Emerging players

• ResearchRabbit: ResearchRabbit is an early-stage literature discovery and mapping tool for academics. It overlaps with ET AI's academic segment as an emerging alternative for literature navigation, though without confidence scoring capabilities.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks6 records

Key highlights6 records

Customer concentration

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Et Ai Labs