Game-Native
Agentic AI Analytics

That Answers
Questions in Minutes

ClarityQ's gaming-fluent agent understands players, events, and the way your team does -  serving as a force multiplier for data, growth and production teams.  

Ask plain-language questions. Get gaming-specific answers, dashboards, automations, and growth action plans - linking behavioral analysis to revenue metrics.
6⨯
Data team
productivity gain
3.6h
Saved per single ClarityQ session
1B+
Data rows covered by ClarityQ analyses
<7d
from connection to first trusted answer
Built for Gaming.
Made for Imperfect Data.
No ‘clean it first’. ClarityQ is built to work with your messy reality- automatically building & maintaining the semantic and contextual layers your data needs, while identifying, handling and cleaning data issues on the fly
No cleanup, no modeling required
Point ClarityQ at your raw warehouse. It infers schemas, resolves duplicates, handles nulls and conflicting field names - and learns your business naming on the fly.
One question. Every source.
Combine sales + finance, revenue + marketing spend, product + CRM in a single ask. ClarityQ joins across systems automatically.
Asks back when it matters
When there's ambiguity — duplicate metrics, overlapping definitions, missing periods — ClarityQ surfaces choices instead of guessing silently.
Watch a live demo now

ClarityQ has been a real game-changer for us! It lets our entire gaming team work with data at scale. We’re querying billions of events and dozens of tables, with in-depth analysis delivered in seconds. It empowers both analysts and game owners with 5× greater efficiency and real data superpowers - saving countless hours of analysis and enabling faster, better decisions.

Guy Tomer

Co-founder & COO, CrazyLabs


ClarityQ became a critical decision layer for us, turning complex behavioral data into clear actions. We identified friction points in our onboarding and loyalty mechanics, which led us to remove low-impact features and focus on real revenue growth.

Avner Azulay

Director of Product, Zaffic

ClarityQ lets our Marketing and Product teams get answers in minutes instead of hours. We used to juggle Firebase, GA, AdMob, Adjust - now everything lives in one place. Our analysis is easily 10x faster, saving us hours every time. But the real game-changer is the insights we wouldn't have found on our own - things we didn't even know to look for.

Eduardo Carqueja

CEO, Appgeneration


ClarityQ (or "Clara" as we refer to it) functions as a co-pilot analyst providing me and other stakeholders (including users who are resistant to use the standard reporting tools available in the company) with business insights via very friendly and convenient interface and visual outputs.

Mark Shohat

Head of Business Analysis, Spiral Interactive


Thanks to the ClarityQ Agent and strong team support, we found the perfect analysis wingman. It has significantly sped up our deep-dive analyses, is expected to cut analysis time by at least half and has freed up time to focus more on strategic work.

Marcos del Molino

Data Analyst, Softonic

The Game Analytics Agent
From Player Behavior to Growth Metrics
Built for Your Data, Product and Business Teams
AI Agent.
Beyond Manual Barriers.
How it works
Transparent reasoning, SQL and sources behind every answer
Built-in validation engine
Cross-dimensional analysis
Data, visualizations, insights and action plans in one response
NL-created dashboards and automated reports 
Governed, collaborative and role-aware
Multistep gaming workflows and skills
How it works
Maps and understands tables, events, metrics, segments and entities across data sources
Dynamic, editable and version-controlled
Learns and adapts through Skills, Memory and Rules
Human-in-the-loop validation when necessary
Syncs with existing context layers
Open API
Context catalog
Instant Dashboards and Automations
How it works
Generate full dashboards from a single prompt
Edit and query in natural language
Interactive, filterable and always up to date
Share across teams with governed access
Automated reports to your mailbox or Slack 
Ask Me Anything

The questions your studio asks

- answered without a data team.

Retention, UA, economy, ads, soft-launch. Pick a real question. See why generic agents break — and how ClarityQ resolves it.
You ask:
“Why did D7 retention drop for our Tier-1 August cohort?”
How it works
Why other agents break
Other agents mis-join cohorts, confuse session vs. install country, and double-count reinstalls.
How ClarityQ resolves it
Filters rollout-day anomalies, aligns cohorts by weekday-of-week, and isolates exactly which segment dropped.
You ask:
“Did the new FTUE lift D1 retention and initial payer conversion?”
How it works
Why other agents break
They can't bridge live gameplay behavior with isolated experiment assignment logs.
How ClarityQ resolves it
Joins variant tags to early retention and IAP events. Flags thin sample sizes so you don't ship on noise.
You ask:
“Which UA channels deviate from our player LTV forecast — creative or quality?”
How it works
Why other agents break
They fail to cross-reference MMP attribution, ad spend, and downstream IAP tables.,
How ClarityQ resolves it
Reconciles messy channel aliases and splits variance into CPI shifts vs. post-install drop-off.
You ask:
“Did the Level 10 difficulty tweak impact currency sinks and whale ARPPU?”
How it works
Why other agents break
They can't connect gameplay telemetry to spending data - critical when 2% of players drive 60% of revenue.
How ClarityQ resolves it
Tracks virtual economy health by player tier - showing if friction drove purchases or pushed players out.
You ask:
“How did capping rewarded-video ads affect ARPDAU and churn for non-payers?”
How it works
Why other agents break
They fail to stitch mediation data (AppLovin, Unity) with session-level player profiles.
How ClarityQ resolves it
Unifies ad impression revenue with retention states to find the exact tipping point where monetization starts hurting engagement.
You ask:
“Are our soft-launch cohorts on track for the D30 needed for global rollout?”
How it works
Why other agents break
They only report historical data and can't project immature, 14-day-old cohort curves.
How ClarityQ resolves it
Applies native curve projection to model D30/D60 outcomes and flags readiness against genre benchmarks.

All-in Dynamic and Autonomous Semantics

Raw Event Semantics
Parses every gameplay event into semantic meaning, rather than just raw data.
Install-Day Cohorts
Joins players by install day, geo, and build version - then projects D7/D30 retention curves natively.
Level Funnel Intelligence
Understands progression drop-off, difficulty tuning, and pacing.
Player Segmentation
Splits whales, dolphins, and minnows by behavior - not just spend.
Crash & Quality Signals
Correlates stability data with player exits and session quality.
Virtual Economy Balancing
Tracks currency sinks, sources, and inflation in real time.
Ad + IAP Dual Revenue
Stitches mediation data with purchase events for true ARPDAU.
Soft Launch Readiness
Benchmarks KPIs against global launch thresholds and flags gaps before scale.
Live in DAYS,
not quarters.

Connect your stack

Warehouse, product analytics & BI tooling, read-only, in minutes.

Build the context layer

ClarityQ understand your business context and catalogs metrics, segments  and definitions..

Ask, decide, act

Every team gets trusted answers, insights, and recommended actions.

Plugs into your warehouse and your BI 

Native connectors to every major cloud DWH and BI tool. Read-only by default.
Your data never leaves your perimeter.

Read-only
SOC 2 Type II
VPC / private link
Row-level security honored

Data Wherhouses

Snowflake logo
Snowflake
BigQuery logo
BigQuery
Redshift logo
Redshift
Databricks logo
Databricks
Postgres logo
Postgres
Amazon Athena logo
Amazon Athena
Azure Synapse Analytics logo
Azure Synapse
ClickHouse logo
ClickHouse

BI and Visualisation

Looker logo
Looker
Tableau logo
Tableau
Power BI logo
Power BI
Metabase

Frequently Asked Questions

What data challenges does ClarityQ help solve?

Can ClarityQ generate charts, funnels, or retention curves?

Can ClarityQ be used for product, user, growth, and revenue analysis?

Is ClarityQ secure and compliant with data protection standards?

How is ClarityQ priced?

What data sources does ClarityQ support and how does it integrate?

View all

Ready to transform how you work with data?

Try ClarityQ on your data