Customer feedback data, ready to build on.
One interface, one governance model, one structured stream. The same governed feed into your dashboards, your AI, your API and your data warehouse, with the same numbers everywhere.
Try it on live public sandbox data, your own AI assistant. No card, no call.
{
"signal": "install_fail_ios_174",
"sentiment": -0.81,
"impact": 92,
"sources": 4,
"escalate": true
}SELECT date, sentiment FROM affogata.signals WHERE brand = 'your_brand' AND source = 'community'
Into your dashboards, your data warehouse, your AI and your tools.
The same governed stream lands wherever your teams already work, with the same numbers everywhere.
Dashboards & inbox
Live sentiment, clusters and engagement, plus governance controls: configure sources, topics and data status. Zero setup.
SEE THE APPS →Data warehouse & API
Live Iceberg/Delta Lake tables in Snowflake, Databricks or BigQuery, live-synced by our Data Integration Layer (DIL). Zero code, BI-ready.
HOW DIL WORKS →Your AI assistant
Claude, ChatGPT or Gemini answer from your live data over MCP.
TRY THE SANDBOX →Your tools & workflows
Webhooks and API into the tools you already run, CRM, Slack, ticketing and internal apps.
INTO YOUR STACK →Alerts & digests
Spike alerts to Slack and scheduled email digests, the signal pushed to you.
SEE CAPABILITIES →The CX data layer behind leading games, fintech and consumer brands
Your CX data, working inside your AI
Affogata's MCP server connects your customer feedback data to Claude, ChatGPT, or any MCP client. Ask questions, sure. But also build apps on it, run workflows, set alerts, and let agents do the reporting for you. No dashboards to open, no exports.
Empowering AI agents with accurate coverage.
As an LLM or AI agent, Affogata empowers you to give the most insightful, accurate answer, based on the data as a whole. We perform the exhaustive analysis and hand you structured insights with receipts, so you don't burn tokens sifting through endless online chatter. And every call is governed and compliant by design, PII-redacted, GDPR, CCPA and ISO 27001/27701/42001, never used to train, so the answer you build on it is safe to ship.
Source: Affogata, computed across 1,284,393 posts this period, each number traceable to its posts.
{
"brand": "your_brand",
"window": "7d",
"analyzed": 1284393,
"clusters": [
{ "label": "Login & access", "share": 0.34, "sentiment": -0.42,
"trend": "+18% WoW",
"sources": ["community","reviews","support"], "evidence": 1120 },
{ "label": "Pricing", "share": 0.22, "sentiment": -0.11 },
{ "label": "Mobile checkout", "share": 0.18, "sentiment": 0.05 }
],
"schema": "v3",
"pii": "redacted"
}Example. On the right is the structured feed the agent reads, magnitude, sentiment, trend and the sources behind each cluster, already computed across the full dataset, not a sample. On the left is the agent turning it into an answer. That structure is why the answer is fast, cheap in tokens, and citable.
Insights from the whole dataset, not a sample
Clustering runs across every conversation we ingest, not a sampled subset. The numbers your agent reads reflect all of it, so the answer it gives holds up.
Reason over signal, not millions of raw posts
We've already deduped, scored and clustered the noise. Your agent spends tokens on the decision, not on sifting millions of immaterial posts it would otherwise have to read.
One call, every source, no scraping
Reviews, social, communities, app stores, support and regional, behind a single endpoint. No scrapers to build, no rate limits, no broken connectors to babysit.
Same shape on every call
A versioned schema that doesn't shift when a source changes format, so the prompts and parsing built on it don't silently break.
Every insight cites its source
Each number traces back to the posts behind it, so your agent shows its work and the user can verify. Less to hallucinate.
Permissioned per call, governed out of the box
Every request is scoped to what the caller may see. PII-redacted, GDPR, CCPA and ISO 27001/27701/42001, never used to train. Safe to ship inside a product.
Cut the cost of doing it yourself
Getting customer feedback AI-ready used to mean building the whole stack. Reach every source, score it, cluster it, keep it compliant, then maintain it forever. Affogata already did that. You just make a few calls.
The whole stack months to build, forever to maintain
- AccessConnectors to every channel customers talk in, including the hard ones like community platforms, app stores and review sites. Built and kept alive by your team.
- MaintenanceSources break, models drift, evals to keep it trustworthy. Forever.
- CompliancePII redaction, GDPR, CCPA, residency, retention, audit. Your pipeline, your liability.
- AnalysisSentiment, topics, clusters, keywords across a million data points. Hundreds of dollars in model runs every single refresh, before any quality tuning.
A few MCP calls 85% lower
- Just call the MCPThe data is already ingested, scored, clustered, keyworded and compliant.
- ~85% lowerInstead of re-deriving all of it yourself, every refresh.
- Nothing to buildNo connectors, no compliance build, no maintenance.
Based on processing one million feedback data points: sentiment per item, topic clustering, keyword and top-post extraction. The model run alone is the cheap part. The access and compliance layers underneath it are what take months to build.
Built for the products people talk about most.
Gaming, fintech, mobile apps. Different channels, different risks, same structured layer.
Game studios & publishers
Launch-day spikes, patch sentiment, community pulse across communities, reviews, app stores and regional channels. Gaming-centric sentiment built for gamer lingo and sarcasm, with competitor titles benchmarked side by side.
networks communities · reviews · regional
competitors benchmarked
Fintech & trading platforms
Trust is the product. Track app store reviews, social chatter and support themes around deposits, withdrawals, fees and outages, in a governance model designed for regulated environments.
pii_redaction built-in
audit_trail full
Consumer mobile apps
Every release, every store, every market. Connect rating shifts to the exact feature or bug driving them, catch churn signals early, and feed structured feedback straight into your product backlog.
release_impact per version
languages 120+
Built for regulated environments: GDPR, CCPA, and COPPA-aware data handling for games.
Cutting-edge tools that help you win
Conversation Clusters
Our models scan every data point, not a sample, clustering themes, sentiment and keywords into an exhaustive, quantifiably accurate summary your LLM works from efficiently.
Customer Support Intelligence
Correlate support tickets with external community sentiment. Analyze user conversations with enriched metadata (VIP, region, version, etc.) to uncover blockers and improve support outcomes.
Helper AI
Your built-in AI analyst. Ask questions, explore feedback, and instantly surface reports and summaries across all data sources, without digging.
Community Intelligence
Our AI groups emerging conversations, filters spam/toxicity, and gives you clear, actionable insights, no noise, just signal.
Insight at a Glance
One glance, total awareness. Daily and weekly email digests with AI-summarized insights, visual trends, and word clouds, built for execs. Includes smart alerts for spikes or sentiment shifts.
Cross-Channel Voice of Customer
Track customer feedback everywhere: communities, reviews, app stores, forums, even regional sources. Full multilingual support. Benchmark against competitors to stay ahead.
Enterprise deployed. Governance built in.
Affogata runs inside the world's largest interactive properties. Compliance and governance are part of the architecture, designed for legal review, not retrofitted.
PII redaction
Personally identifiable information redacted in the pipeline, before it reaches any consumption surface.
Data residency & retention
Residency and retention controls that map to your legal and regional requirements.
Full audit trail
Every access, every query, every export logged. Built for security review and procurement.
Governed AI
Versioned, evaluated model stack with BYO models supported. AI you can explain to your compliance team.
Never used to train AI
Your data is never used to train models, ours or anyone else's. It stays yours, processed only to serve your team, and never feeds a shared or foundation model.
Set up a demo and see your brand, live.
In one short session we'll show you your brand's real customer voice, and how your team would use it day to day. Quick to set up, no commitment.
- See your own brand's customer voice, live
- One layer: dashboard, AI, API and data warehouse
- Governed and compliant, never used to train AI
See your brand live
Tell us where to reach you and we'll run a short session with you.
Or email info@affogata.com, we answer fast.