The world's most powerful customer content platform powered by AI is here! It's quick and easy to get started - with Brainfish you can help customers get instant, personalised answers to any question. Say goodbye to outdated and reactive customer knowledgebases, and hello to Brainfish.

Brainfish is a venture backed Australian startup that was created to build the world's smartest content engine - to make content central to customer service. 

We're building the virtual product expert of every business, and creating unique, innovative tooling that is different to what exists, and actually solves end customer problems 10X better than today. 

Today, Brainfish helps customer support teams reduce inbound ticket volumes, and deflect hundreds of thousands of online queries - enabling the CS team to spend more time resolving issues that can't be solved without them.

AI/ML

Consumer Services

Enterprise Software

Brainfish

Brainfish's headquarters in Sydney, Australia

Daniel Kimber

Jess Ovalle Fisher

Ajain Vivek

This department is responsible for designing, developing, and maintaining software applications.

Software Engineering

This department drives demand generation, product strategy, and customer success initiatives.

Demand and Product Development

This department provides strategic direction and oversight for the organization.

Executive Leadership

This department focuses on developing and implementing machine learning models and algorithms to enhance data-driven decision making.

Machine Learning

This department is responsible for promoting the organization and managing its interactions with investors.

Marketing and Investor Relations

This department focuses on creating and enhancing product visuals and user interfaces to improve user experience.

Brainfish

Org chart

Teams

Software Engineering

Demand and Product Development

Executive Leadership

Machine Learning

Marketing and Investor Relations

Product Design

Offices

Brainfish

Org chart

Teams

Software Engineering

Demand and Product Development

Executive Leadership

Machine Learning

Marketing and Investor Relations

Product Design

Offices

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