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Your unfair analytics advantage

Your unfair analytics advantage

Your unfair analytics advantage

Leverage our gaming native stateful data plane and semantic layer to maximize value from your game’s first-party data

Leverage our gaming native stateful data plane and semantic layer to maximize value from your game’s first-party data

Leverage our gaming native stateful data plane and semantic layer to maximize value from your game’s first-party data

Get Started

Get Started

Get Started

Enable God Mode for Game Intelligence

Enable God Mode for Game Intelligence

Slash time to insight by

Slash time to insight by

90%

90%

Eliminate ad-hoc SQL requests by

Eliminate ad-hoc SQL requests by

90%

90%

Increase analyst productivity by

Increase analyst productivity by

10x

10x

Reduce data engineering effort by

Reduce data engineering effort by

100%

100%

Traditional analytics tools are meant for transactional apps but don’t work for games

Games are rich, complex, and immersive worlds

Games are rich, complex, and immersive worlds

Gaming native tools need to account for the virtual economy analysis


Gaming native tools need to account for the virtual economy analysis

Traditional analytics measure what the player did, GSL also tells you why the payer did it

Traditional analytics measure what the player did, GSL also tells you why the payer did it

Without a gaming native semantic layer, Data Analysis Agents are lost in translation 

Columns descriptions are not enough, Agents need to understand relationships between metrics and events

Semantic layer should communicate the intricacies of the game’s core loop and the economy

Stateful events >>> Events: Tracking events isn't enough. Enriching events with the Player's State makes the difference

Non-gaming apps have an action (place an order) inside the app but the intent (eat sushi) lies outside

For gaming both the action (upgrade weapon) and intent (defeat the boss) are in the gaming app

Enriching each event (action) with the state of the player unlocks deep insights on player behaviour

Why we built a gaming native data plane and semantic layer

Why we built a gaming native data plane and semantic layer

Traditional analytics tools are meant for transactional apps but don’t work for games

Games are rich, complex, and immersive worlds

Gaming native tools need to account for the virtual economy analysis

Traditional analytics measure what the player did, GSL also tells you why the payer did it

Stateful events >>> Events: Tracking events isn't enough. Enriching each event with the Player's State makes the difference

Non-gaming apps have an action (place an order) inside the app but the intent (eat sushi) lies outside

For gaming both the action (upgrade weapon) and intent (defeat the boss) are in the gaming app

Enriching each event (action) with the state of the player unlocks deep insights on player behaviour

Stateful events >>> Events: Tracking events isn't enough. Enriching each event with the Player's State makes the difference

Non-gaming apps have an action (place an order) inside the app but the intent (eat sushi) lies outside

For gaming both the action (upgrade weapon) and intent (defeat the boss) are in the gaming app

Enriching each event (action) with the state of the player unlocks deep insights on player behaviour

Without a gaming native semantic layer, Data Analysis Agents get lost in translation, hallucinate, and produce wrong results

Column descriptions are not enough, Agents need to understand relationships between metrics and events

Semantic layer should communicate the intricacies of the game’s core loop and the economy

INTRODUCING MANA AI

INTRODUCING MANA AI

Deep research for your player behaviour

Transform the way you diagnose game data and get correct insights instantly

Prompt

Why was their a sudden drop in the currency sink for gems?

Deep research for your player behaviour

Transform the way you diagnose game data and get correct insights instantly

Prompt

Why was their a sudden drop in the currency sink for gems?

Self-serve analysis with No-SQL conversational analytics

Get data instantly without spending hours on authoring complicated SQL

Prompt

What was the ad monetization trend for January 2026 and group by ad placement and ad network?

Self-serve analysis with No-SQL conversational analytics

Get data instantly without spending hours on authoring complicated SQL

Prompt

What was the ad monetization trend for January 2026 and group by ad placement and ad network?

Game State Dashboards

Game State Dashboards

Your game's

Your game's

Command center

Command center

for live performance.

for live performance.

Visualize KPIs, economy health, and custom stats in real-time with zero latency

Customizable widgets designed specifically for gaming metrics and live-ops

Align the entire studio on a single, interactive source of truth

Stop waiting for static reports and react to player trends as they happen

QUERY BUILDER

QUERY BUILDER

The definitive

The definitive

No-code exploration tool

No-code exploration tool

for complex player data

for complex player data

Build complex queries visually to understand player journeys instantly

Granular segmentation and cohort tracking aware of game state

Enable Game Designers to validate hypotheses without technical hurdles

Remove the friction between creative questions and analytical answers

Why GSL is the unfair advantage

FEATURES

Deep research and diagnostics

Conversational data analysis

Gaming native data plane

Gaming native semantic layer

Customer support

Pricing

Game state Labs

Multi-agent architecture to uncover insights in minutes

Self-serve analytics with high accuracy 

Stateful contextualization to power gaming telemetry

Rich context about the game’s design

Best-in-class customer support to ensure successful outcomes

Affordable and in line with huge volume demand for games

Others

Not available

Low accuracy tools with limited impact on time to insight

Not available

Not available

Not focused on client success

Expensive and incompatible with gaming requirements as linked with event volume 

Why GSL is the unfair advantage

Game state Labs

Others

FEATURES

Deep research and diagnostics

Multi-agent architecture to uncover insights in minutes

Conversational data analysis

Self-serve analytics with high accuracy 

Gaming native data plane

Stateful contextualization to power gaming telemetry

Gaming native semantic layer

Rich context about the game’s design

Customer support

Best-in-class customer support to ensure successful outcomes

Pricing

Affordable and in line with huge volume demand for games

Get in TOUCH

Get in TOUCH

Say hello and we will get back to you!

Say hello and we will get back to you!

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Ready for you unfair analytics advantage?

Schedule a Demo

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Back to Top

Get in touch

Ready for you unfair analytics advantage?

Schedule a Demo

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