Studios are expected to de-risk projects earlier than ever — without the tools to understand who they’re building for, why players respond the way they do, or which decisions actually matter.
GameDataCore is the decision intelligence layer for the games industry.
We connect player behaviour, emotion, community signals, market context, and studio intent into explainable, causal evidence — so creative and commercial decisions are made with confidence, not guesswork.
Teams typically start by analysing a single title — their own or a close comparator — to establish where confidence is strong, where risk is emerging, and which decisions actually matter next.
Games can get love — but love alone doesn’t predict commercial outcomes. GameDataCore links behaviour, sentiment, emotion and expectation to explain why trajectories diverge.
Retention decay looks like noise until you understand its causes.
We isolate where engagement drops, which segments left, and what actions might change that trajectory.
Not all community reactions are equal.
We map discussion, sentiment, emotional and motivational velocity and behavioural impact across segments to distinguish noise from material risk.
Not all investments yield equal confidence gains.
We compare counterfactual scenarios across features, segments, and benchmarks to show where evidence says it matters.
All of these questions are answered using the same evidence pipeline:
Every signal is interpreted through calibrated psychological, behavioural, and comparative baselines — not raw metrics or black-box scores. Analyse your own games, competitor titles, or any released game with sufficient public and community data.
Uncover why players engage, disengage, or churn — not just what they do.
Translate behaviour into motivation, expectation, and decision-relevant evidence that creative and production teams can act on
Track more than just sentiment, backlash, and expectation shifts across platforms — with context. Separate vocal minorities from material risk and understand who is reacting, why, and what it affects.
Combine feedback, behavioural signals, and commercial outcomes into a single evidence layer. Move beyond disconnected metrics to understand causal impact across the player journey.
Give design, production, marketing, ops and leadership a shared evidence base. Align creative intent, delivery constraints, and market reality — before decisions become irreversible.
This platform wasn’t built to optimise dashboards — it was built to protect teams from irreversible mistakes.
GameDataCore wasn’t created by analysts or consultants. It was built by game developers who’ve shipped games, pitched publishers, raised funding, missed targets, and watched promising projects stall — after real commitments were already made.
We built the platform we wish we’d had when the cost of being wrong was measured in years, not metrics.
After decades of building and shipping games across AAA, AA, indie and mobile, we saw the same pattern repeat. Strong creative vision, positive early signals, supportive feedback — followed by hesitation, funding friction, or underperformance once real commitments were made.
Not because the games were bad — but because there was no shared, defensible evidence to support high-stakes decisions early enough.
GameDataCore exists to close that gap.
All modules are powered by a shared evidence engine. As more teams use the platform, the system continuously improves — calibrating behavioural baselines, refining archetypes, and strengthening causal confidence across games, genres, and decisions. Every analysis contributes to a deeper, more reliable understanding for all users.
Understand what players are telling you — and what they’re actually reacting to.
Transforms reviews, community discussion, and qualitative feedback into structured, explainable evidence — separating signal from noise and revealing where sentiment materially affects player behaviour and outcomes.
Typical decisions:
Roadmap Prioritisation · Live-ops Responses · Post-Launch Assessment
See who your audience really is — across games, genres, and time.
Maps players to motivational and behavioural archetypes using cross-game history, psychological signals, and engagement patterns — enabling teams to reason about who they are building for, not just how many.
Typical decisions:
Target Audience Definition · Sequel Positioning · Portfolio Fit · Marketing Direction
Align ambition, scope, and execution with evidence — not optimism.
Connects audience evidence, organisational capability, and production constraints to support planning decisions that balance creative intent with delivery risk.
Typical decisions:
Scope confidence · Roadmap sequencing · Milestone realism · Production trade-offs
Test creative intent against audience reality — before committing.
Evaluates how proposed themes, mechanics, or experiential goals align with existing audience expectations and comparable titles, surfacing confidence gaps early.
Typical decisions:
Greenlight Confidence · Creative & Team Alignment · Concept Validation
Understand how communities form, influence outcomes, and convert attention into impact. Analyses community structure, sentiment flow, participation dynamics, and creator-led engagement across platforms — identifying when discourse reflects genuine audience risk, where influence is concentrated, and which creators demonstrate measurable alignment with a game’s audience and performance outcomes.
Typical decisions:
Community Strategy · Moderation Policy · Communication Timing · Creator and Partnership Selection · Event Risk Assessment
Support high-stakes investment and publishing decisions with evidence.
Brings together audience health, behavioural risk, comparables, a full causal chain powered due diligence risk framework and counterfactual scenarios to inform funding, partnership, and acquisition decisions — without replacing human judgment.
Typical decisions:
Funding Decisions · Milestone Confidence · Acquisition diligence
GameDataCore is designed to be accessible to small teams, while scaling naturally as projects grow in complexity, audience size, and commercial impact.
As your community grows, your sales increase, or your team expands, the amount of data required to produce accurate, defensible outputs increases as well. Processing more evidence is not an arbitrary cost — it is what allows decisions to remain grounded as stakes rise.
We don’t charge teams for ambition.
We charge for the evidence required to support it.
As decisions lead to success, GameDataCore scales alongside you — supporting larger audiences, higher expectations, and more complex trade-offs without forcing teams into a different class of tooling.
Cloud Decision engine
Full access to all evidence modules.
Self-serve decision intelligence — no feature gating, no sales calls.
£50/mo
Per Seat
100 Processing Credits Per Month
Buy additional Credits as you scale
access to new evidence modules
Enterprise
Same evidence engine, deployed on premises. Typically makes sense for teams spending ~£25K–50K+/month on cloud credits.
From £5000/mo
Per Module + Deployment, setup, and hardware costs
Local inference, unlimited processing
Unlimited Seats
Full Data Soverinty
Quarterly benchmark Injections
How pricing works
Your seat includes full access to the platform and continuous data ingestion.
Processing credits are used only when the system performs compute-intensive reasoning to generate new evidence — such as inference, analysis, causal chain generation, or counterfactual simulation.
As more teams use the platform, shared baselines improve — making the system smarter for everyone without increasing your seat cost.
You’re never charged for browsing insights, revisiting analyses, or collaborating with your team.
You pay for evidence generation — not dashboards, access, or curiosity.
WHEN ENTERPRISE MAKES SENSE
Typically makes sense once monthly cloud credit usage consistently exceeds ~£25K–£50K
The evidence engine, modules, and decision surfaces remain the same.
You’re choosing where the system runs, not what it can do.
One evidence engine. Multiple decisions. Increasing confidence over time. Built & designed for every member of your team.
GameDataCore runs a single, shared evidence pipeline that connects player behaviour, psychology, community signals, market context and internal data into explainable causal chains. Every module is just a different entry point into the same underlying system.
Used by developers, publishers, and investors when decisions are expensive, irreversible, or financially risky — not for reporting or vanity metrics. If the question matters, it runs through the same evidence engine.
Analyse your own titles, competitor games, or any released game with sufficient public and community data. Comparative context is not optional — it’s foundational.
GameDataCore does not tell teams what to do. It shows:
- What evidence exists,
- How strong it is,
- Where uncertainty remains,
- And how confidence changes under different choices.
Creative judgment stays in the loop.
As more studios use the platform, behavioural baselines sharpen, archetypes stabilise, and causal models improve.
Your analysis benefits from:
- More data,
- More calibration,
- More decisions tested against reality.
This is shared intelligence, not isolated analytics.
No black-box scoring
No dashboard-only BI
No single-source dependency
No usage inflation
Only explainable evidence that improves with use.
