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How It Works,And Why It Compounds.

Not analytics. Not metrics. Decision intelligence.GameDataCore is a **Decision OS** — a single evidence layer that ingests player feedback, community signals, audience profiles, and market context, then surfaces calibrated, auditable, actionable decisions. Each Core is an entry point into the same underlying engine. The earlier you start, the more reliable every decision becomes.
  • One evidence engine

    We connect player behaviour, community signals, emotional intensity, and market context into a single, calibrated evidence layer, structured, attributable, and built for the decisions that actually matter.

  • Built for real decisions

    Give design, production, marketing, and leadership a shared evidence base. Align creative intent, delivery constraints, and market reality before decisions become irreversible.

  • Any game, not just yours

    Analyse your own titles, a close comparator, or any released game with sufficient data. Comparative context is not optional. It is foundational.

  • Confidence, not answers

    GameDataCore does not tell you what to do. It shows you what the evidence says, how strong it is, and where uncertainty remains. Creative judgment stays in the loop.

  • The system learns across teams

    Every Core is a different entry point into the same underlying system. As more studios use it, behavioural baselines sharpen, archetypes stabilise, and the model improves. Shared intelligence, not isolated analytics.

  • Designed to avoid the wrong things

    Every signal is interpreted through calibrated psychological, behavioural, and comparative baselines. Not raw metrics. Not black-box scores.

Source, not summary: the signal was always there.

Six surfaces.One evidence engine.

Live today — each Core connects into the same calibrated evidence layer.

CoreFeedback

Understand what your community is really saying, and know where to act first.

CoreFeedback brings every review, comment, and community signal into one place and ranks them by impact, with Steam Discussions and Discord on the way, so your team can focus the roadmap on the changes that will matter most to your audience.

CoreProfile

Know who's in your community, and who you share with the competition.

CoreProfile turns the people behind that signal into a clear picture of your audience: their experience, habits, and preferences, plus how much they overlap with the comps you care about. Product, marketing, and live ops can finally plan against the same shared view of who you are really building for.

CoreDatabase

The whole Steam catalogue, ready to explore inside your workspace.

CoreDatabase gives you the market context every project needs, competing titles, genre neighbours, and audience crossover, with Quick Analyze built in when you want to dig deeper into a specific game or gap. No tab-hopping, no one-off exports.

CoreBrain

Evidence-grounded answers from your own data — not generic AI.

CoreBrain is the natural-language interface to your evidence: cited answers from reviews, profiles, clusters, and insights — controllable from Slack, Teams, and Discord. Run pipelines, generate reports, and deliver results where your team already works.

CoreReports

Turn your analysis into something the wider team can actually read.

CoreReports is the notebook, template, and export layer that shapes your evidence into briefings, summaries, and share-outs, with citations back to the source. Stakeholders who weren't in the room get the story; nothing gets lost on the way out.

CoreDecisions

Keep the thinking behind every decision, right next to the evidence.

CoreDecisions captures the calls you make and links them to the signals that informed them, with a lightweight daily pulse to track how things are playing out. A month later, the team still knows why, not just what, was decided.

CoreCalendar

A multi-game release and ops timeline — Steam, festivals, your ICS, and team milestones in one place.

CoreCalendar layers Steam news, industry festivals, external calendar feeds, and private milestones for every title in your workspace catalogue. Plan in month, week, agenda, or timeline views with team overlays, templates, and reminders — then pull and classify post-ship reviews from the event itself, surface negative snippet issues for that window, and anchor CoreFeedback filters to real ship dates so Inbox, Snippets, and Decisions stay tied to when things actually landed.

Different surfaces. One evidence engine. Every decision more defensible than the last.

Frequently asked questions

What does GameDataCore do?

GameDataCore is the Decision OS for high-stakes decisions in games — a single evidence layer that turns player signals, reviews, community discussion, behaviour, and market context into structured, attributable evidence. Traceable to source. Defensible in the room. Useful long after the call has been made.

Who is GameDataCore for?

GameDataCore is built for the developers shipping games, and for the people who make high-stakes decisions alongside them. Studios at any scale, from solo and indie through AA and AAA, and the publishers, investors, producers, marketing leads, analysts, and consultants who work in the same rooms.

Whether you're greenlighting a project, sharpening creative direction before commitments become costly, reading what your players are actually experiencing rather than what reviews score, repositioning a title that landed differently than expected, deciding what the next patch or DLC should prioritise, allocating production resources, or making a funding or portfolio call, GameDataCore gives you evidence you can stand behind, defend, and revisit. It works for studios finding their audience before their first player, and for teams who want to genuinely understand the players they already have.

How is GameDataCore different from analytics platforms, AI insight tools, or social listening?

Most tools in this space were built for adjacent problems. Analytics platforms optimise metrics, useful for retention and engagement, less useful for greenlight, repositioning, or portfolio decisions. Social listening tools track generic sentiment without understanding game mechanics, audiences, or commercial context, which produces volume without judgment. And the new wave of AI insight tools wraps a language model around your data and gives you a confident-sounding answer with no way to interrogate the working. Confidence is loud. Evidence is quiet. Most of the category is selling the first thing.

GameDataCore is built differently. Every finding has a provenance. Every signal has a calibrated baseline. Every conclusion can be traced back to source and stood behind by the person who acts on it. We don't generate answers — we structure evidence and surface what it actually supports, how strongly, and where uncertainty remains. The creative call stays with the team. The proof of the work stays auditable.

How does GameDataCore handle player privacy and platform compliance?

GameDataCore is built on publicly available signal. Steam reviews and other public-facing player communication form the basis of every analysis, no private channels, no closed forums, no proprietary studio data unless a customer chooses to bring their own in. We comply with the terms of service of every platform we ingest from, and we do not store or share user-identifiable data. Every conclusion we surface can be traced back to the public material that supports it; auditability is the whole point, and it cuts both ways. Defensible decisions should not come at the cost of player or community trust.

How do we get started?

Sign up to start with your workspace — CoreFeedback, CoreProfile, CoreDatabase, and the rest of the Decision OS are live today. Book a demo if you'd rather walk through your titles, comparators, and decision context first.

For high-stakes one-off questions (greenlight, funding, repositioning, portfolio decisions), Commissioned Decision Assessments answer a defined strategic question with method, sampling, and confidence bounds attached.

Per-seat plans start at £50 a month and include monthly credits for analysis, CoreBrain, and reports.

The next call should rest on evidence, not optics.

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