Latest News

The Second Hemisphere: Why Enterprise AI Needs a Right Brain

Sep 8, 2026

•

min read

By Fundamental

@Fundamental

Applied AI

The Second Hemisphere: Why Enterprise AI Needs a Right Brain

Sep 8, 2026

•

min read

By Fundamental

@Fundamental

Applied AI

The Second Hemisphere: Why Enterprise AI Needs a Right Brain

Sep 8, 2026

•

min read

By Fundamental

@Fundamental

Applied AI

"Stay away from the shiny objects": Léo Dreyfus-Schmidt on Ground Truth

Sep 3, 2026

•

min read

By Alexandre Gerbeaux

Head of Applied AI, Fundamental

Applied AI

"Stay away from the shiny objects": Léo Dreyfus-Schmidt on Ground Truth

Sep 3, 2026

•

min read

By Alexandre Gerbeaux

Head of Applied AI, Fundamental

Applied AI

"Stay away from the shiny objects": Léo Dreyfus-Schmidt on Ground Truth

Sep 3, 2026

•

min read

By Alexandre Gerbeaux

Head of Applied AI, Fundamental

Applied AI

Oil & Gas Has Always Been About Prediction. AI Is Changing What’s Possible.

Aug 21, 2026

•

min read

By Oleg Zarakhani

Lead Data Scientist, Fundamental

Applied AI

Oil & Gas Has Always Been About Prediction. AI Is Changing What’s Possible.

Aug 21, 2026

•

min read

By Oleg Zarakhani

Lead Data Scientist, Fundamental

Applied AI

Oil & Gas Has Always Been About Prediction. AI Is Changing What’s Possible.

Aug 21, 2026

•

min read

By Oleg Zarakhani

Lead Data Scientist, Fundamental

Applied AI

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Applied AI

The Second Hemisphere: Why Enterprise AI Needs a Right Brain

Sep 8, 2026

•

min read

Applied AI

The Second Hemisphere: Why Enterprise AI Needs a Right Brain

Sep 8, 2026

•

min read

Applied AI

"Stay away from the shiny objects": Léo Dreyfus-Schmidt on Ground Truth

Sep 3, 2026

•

min read

Applied AI

"Stay away from the shiny objects": Léo Dreyfus-Schmidt on Ground Truth

Sep 3, 2026

•

min read

Applied AI

Oil & Gas Has Always Been About Prediction. AI Is Changing What’s Possible.

Aug 21, 2026

•

min read

Applied AI

Oil & Gas Has Always Been About Prediction. AI Is Changing What’s Possible.

Aug 21, 2026

•

min read

Research

Understanding How AI Learns to Create: A Conversation with Sander Dieleman

Jul 27, 2026

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min read

Research

Understanding How AI Learns to Create: A Conversation with Sander Dieleman

Jul 27, 2026

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min read

Partnerships

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Applied AI

Why Japan's largest bank is betting on Fundamental

Jul 17, 2026

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min read

Partnerships

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Applied AI

Why Japan's largest bank is betting on Fundamental

Jul 17, 2026

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min read

Research

•

Applied AI

Why We Keep Expecting LLMs to Be Good at Prediction

Jul 8, 2026

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min read

Research

•

Applied AI

Why We Keep Expecting LLMs to Be Good at Prediction

Jul 8, 2026

•

min read

Our Event Schedule

SPEAKING

Dreamforce 2026

September 15–17, 2026

San Francisco, California, USA

What you’ll learn

How enterprises use AI and automation across customer operations workflows

ATTENDING

Amazon CEO Summit

September 23–24, 2026

New York, USA

What you’ll learn

How CEOs are approaching AI adoption and cloud transformation strategies

SPEAKING

Headline AGM

October 7, 2026

TBD

What you’ll learn

How investors evaluate emerging AI infrastructure and enterprise platforms

SPEAKING

World Summit AI Amsterdam 2026

October 7–8, 2026

Amsterdam, Netherlands

What you’ll learn

How enterprises deploy frontier AI and data infrastructure globally

SPEAKING

TechCrunch Disrupt 2026

October 13–15, 2026

San Francisco, California, USA

What you’ll learn

Which AI startups and infrastructure platforms are gaining momentum

SPEAKING

Money20/20 USA Mastercard Panel

October 19–21, 2026

Las Vegas, Nevada, USA

What you’ll learn

How AI is transforming fraud, underwriting, and financial operations

SPEAKING

Web Summit

November 9–12, 2026

Lisbon, Portugal

What you’ll learn

How AI infrastructure is shaping the future of business transformation

SPEAKING

AI Summit New York 2026

December 9–10, 2026

New York City, New York, USA

What you’ll learn

How enterprises deploy AI across analytics and operational systems

ATTENDING

World Economic Forum Annual Meeting

January 18–22, 2027

Davos, Switzerland

What you’ll learn

How institutions are shaping AI regulation and global infrastructure

Research & Whitepapers

Whitepaper

Developing Foundation Models for Real-World Tabular Data

Our research manifesto for a universal predictor that learns from billions of examples and adapts to new tasks.

Read the White Paper

Whitepaper

Why Large Language Models Fail at Tabular Prediction

An examination of why architectures designed for language struggle with tabular prediction — and what fundamentally different capabilities these problems demand.

Read the White Paper

Presentation

What LLMs learn (and don’t) from tables

An ICML presentation examining why a frontier LLM’s tabular predictions rely on memorization rather than genuine learning, and collapse as the number of columns grows.

Read the Presentation

Whitepaper

Developing Foundation Models for Real-World Tabular Data

Our research manifesto for a universal predictor that learns from billions of examples and adapts to new tasks.

Read the White Paper

Whitepaper

Why Large Language Models Fail at Tabular Prediction

An examination of why architectures designed for language struggle with tabular prediction — and what fundamentally different capabilities these problems demand.

Read the White Paper

Presentation

What LLMs learn (and don’t) from tables

An ICML presentation examining why a frontier LLM’s tabular predictions rely on memorization rather than genuine learning, and collapse as the number of columns grows.

Read the Presentation

Whitepaper

Developing Foundation Models for Real-World Tabular Data

Our research manifesto for a universal predictor that learns from billions of examples and adapts to new tasks.

Read the White Paper

Whitepaper

Why Large Language Models Fail at Tabular Prediction

An examination of why architectures designed for language struggle with tabular prediction — and what fundamentally different capabilities these problems demand.

Read the White Paper

Presentation

What LLMs learn (and don’t) from tables

An ICML presentation examining why a frontier LLM’s tabular predictions rely on memorization rather than genuine learning, and collapse as the number of columns grows.

Read the Presentation