Introducing the behavioural AI engine for video games.

Obtain unmatched visibility into player behaviours, spending profiles and engagement, and how they change over time. We improve attribution, in-game mechanics, in-app monetisation and many others, through proprietary behavioural graph neural networks. MetaMind sits between your game engine, analytical stack and complex communities of millions of players. Game developers can now understand, automate and optimise impossibly individualised in-game decisions, in minutes.

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The AI engine for your games

Players generate billions of data points and each game is different and changes over time. MetaMind makes sense of this complexity and turns your data science teams and developers into analytical superheroes.

Here are some of the areas we transform. Many are yet to come.

META CORE

Each action matters – each sequence of actions paints a unique story. Leveraging this can fundamentally transform your video game’s KPIs.

Deep Attribution

Use precise and timely estimations of player spending propensity, for targeted user acquisition. Our community graph considers every user action and its context. Predictions are generated in real time for maximum impact.

Personalised Monetisation

We use both deep and wide player spending and behavioural profiles that are updated with every user action. This enables us to predict the most adequate chain of events that empower individual engagement and lifetime value.

Continuous Variant Testing

Maximize the returns from A/B testing with no additional effort. Select a range of in-game variables and thresholds, as well as metrics to optimize for. Take immediate action or set-and-forget for iterative learning and tuning.

META LANGUAGE

Deeply understand how players communicate, and what that means, from text to speech, including slang, memes and emoticons.

Toxicity Analysis

We enable context-aware extraction and understanding of varied manifestations of in-game toxicity. You can easily take manual or automated action, based on constructs of interest, from in-game text, speech, behavioural profile and metadata.

Language Comprehesion

Source, analyze, model and take action on user-generated text and speech. We provide a powerful end-to-end language comprehension architecture that surfaces custom topics, sentiment and entities. Memes, emoticons and slang included.

Content Adaptation

Our game-specific langage model offers access to the impact your content has on players. Unstructured and complex language can be created and delivered with maximum impact by fusing data from various sources, including META CORE.

Stay up to date with our progress and be the first to get early access!

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Many disciplines – one common vision

We are expanding the boundaries of deep learning and human behaviour understanding in video games – and so can you.

Dragos Tudor

Dragos TUDOR

CO-FOUNDER – PRODUCT and Data Science

Benjamin Maurice

Benjamin MAURICE

Co-FOUNDER – Deep learning Research