Redefining AI Safety

Redefining AI Safety

Redefining AI Safety

Building a new AI architecture to ensure the controllable,

safe development of advanced AI technology.

Building a new AI architecture to ensure the controllable,
safe development of advanced AI technology.

Building a new AI architecture to ensure
the controllable,
safe development
of advanced AI technology.

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Navigating Complexities

The challenge of AI Safety

The challenge of AI Safety

The challenge of AI Safety

Unpredictable

AI systems generate hallucinations and inadvertently leak sensitive information, compromising their reliability.

Incoherent

AI responses are inconsistent in their outputs and reasoning, creating challenges to effective interaction.

Inept

Systems fail on basic tasks, raising significant obstacles to building reliable automation.

Uninterpretable

AI's inner workings remain uninterpretable, making it difficult to trust the accuracy of its outputs and debug when it’s incorrect.

Revolutionizing AI Deployment
Revolutionizing AI Deployment

Introducing
Cognitive Emulation

Introducing
Cognitive Emulation

Introducing
Cognitive Emulation

Building and deploying AI systems that are both powerful and safe faces great challenges in the current AI paradigm. And so, we are building Cognitive Emulation: A different vision for powerful AI systems that are designed to follow the same, trusted reasoning processes we do.

Trained for specific tasks

Trained for specific tasks

Build AI by component

Build AI by component

Automate real workflows

Automate real workflows

Solve more complex problems

Solve more complex problems

Capability vs. Safety

Scaling and the Control Problem
Scaling and the Control Problem

The AI industry is racing to scale ever-larger models without considering the risks. While capabilities advance at a rapid pace, safety lags far behind. The current imbalance underscores the urgency for innovative solutions like Cognitive Emulation as an alternative to the grave risks associated with scaling.

The AI industry is racing to scale ever-larger models without considering the risks

Amplified Risks

Amplified Risks

Scaling Exacerbates the Dangers
Scaling Exacerbates the Dangers
Scaling Exacerbates the Dangers

Amplifying these models through scaling only makes it harder to notice if they are wrong, and impossible to debug when they are.

Amplifying these models through scaling only makes it harder to notice if they are wrong, and impossible to debug when they are.

Amplifying these models through scaling only makes it harder to notice if they are wrong, and impossible to debug when they are.

Trained for specific tasks

Build AI by component

Automate real workflows

Solve more complex problems

Emulating Human Expertise

Emulating Human Expertise

Unlocking Human-Like Problem Solving

Unlocking Human-Like Problem Solving

Unlocking Human-Like
Problem Solving

Unlocking Human-Like Problem Solving

Cognitive Emulation pioneers a paradigm where AI systems solve problems akin to human experts. By translating expert workflows into reusable AI pipelines, Cognitive Emulation facilitates human-like problem solving, driving efficiency, accuracy, and trust in AI deployment.

Streamlined Workflows

Enhanced Reliability

Reduced Unintended Consequences

Let's Talk
Let's Talk
Let's Talk

Join Us In Building Safer AI

Join Us In Building Safer AI

Join Us In Building
Safer AI

Join Us In Building Safer AI

Join The Team

Contact Us

Unusual Talent [Accepting Expressions of Interest]

London

Product

Full-Time

Unusual Talent [Accepting Expressions of Interest]

London

Product

Full-Time

Unusual Talent [Accepting Expressions of Interest]

London

Product

Full-Time

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