How the platform works, end to end.
From a raw customer conversation to a governed, structured stream that your dashboards, your data warehouse, your AI and your tools all read the same way. Here is how the Affogata platform is built, step by step, and what each part does for you.
One solution for CX & conversational data via AI
Every use case you need, on one layer. We bring the foundation, you build the workflows on top. Compliance built in. Governance built in.
Reporting
Agents that write the weekly report for you.
Spam moderation
Filter spam and toxicity before your team sees it.
Release analysis
Sentiment and themes per version, the day it ships.
Compare to competitors
Benchmark the conversation against rival titles and products.
Impact score
Rank what's moving the needle, not just what's loud.
Top content
Surface the posts and threads shaping the narrative.
Org-wide activation
Push the same signal to every team, in their own tools.
Follow your data through the layer
Every place your customers talk, in. One governed engine in the middle. Out, in whichever shape your team consumes.
Communities & forums
Public discussion boards,
community platforms and forums
App stores & reviews
Mobile app stores and
public review sites
Social channels
Major social and
short-video platforms
Surveys & feedback
Survey tools and
direct feedback forms
Support & tickets
Helpdesk, ticketing
and inbound support
Unstructured chaos in. Structured insight out.
Cleaned, deduplicated, PII-redacted, sentiment-scored, clustered. One compliance model over everything.
Dashboard & inbox
Live sentiment, clusters and engagement in the Affogata UI. Zero setup.
SEE THE APPS →Data warehouse via DIL / 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 →MCP → your AI assistant
Claude, ChatGPT or Gemini answer from your live data. Ask in plain language.
TRY IT IN THE SANDBOX →Vertical apps are a feature. The platform is the product.
Every "social listening" or "player insights" tool is a frozen opinion about what you need. Affogata gives you the structured conversational data underneath, so your team builds the view that actually fits, and changes it the moment the question changes.
Ready for agents
Structured, governed, queryable over MCP. Point an LLM at it and ship an internal agent the same day, no pipeline to build.
Ready for analysts
Lands in your data warehouse in a stable schema. Model it in dbt, chart it in Looker, join it to revenue. It's just your data now.
Ready for builders
API and webhooks into the tools you already run, CRM, Slack, ticketing, internal apps. Your workflow, not ours.
The heavy lifting, already done.
Everything below the workflow is ours to run, so your team starts at the insight, not the plumbing.
To any API and source
One connection to every channel, social, communities, reviews, app stores, support, regional sources. We maintain the integrations so you never chase an API again.
Efficiency and spend, handled
We do the analysis already for you. Your agents read structured results instead of burning tokens on raw feedback, governed, GDPR and CCPA ready, and predictable on cost.
Ready out of the box
Sentiment, topics, clusters, impact scoring, alerts. The model stack is built, evaluated and maintained, point your workflow at it and go.
Same numbers, everywhere
One schema across every surface and every team. Every signal traceable back to its source, no drift between the dashboard, the data warehouse and the agent.
Four layers. One contract.
The data your VP sees in the dashboard is the same data your analyst queries in the data warehouse, the same data your agent reads through the LLM. Same source, same structure, same model versions.
Every channel
Community, social, reviews, in-game telemetry, support. 47 sources, schemas normalized at the edge.
Compliance-grade
PII redaction, data residency, retention, audit log. Designed for legal review, not retrofitted.
Model stack
Sentiment, topics, entities, intent, impact. Versioned, evaluated, swappable. BYO models supported.
However you consume
Dashboard for operators. LLM/MCP for agents. API for developers. Data warehouse sync for analysts. Streaming for live ops.
Every layer makes the next one possible.
Raw conversational data is a liability. Each layer Affogata adds turns it into something an enterprise can actually trust, query, and act on, and the value compounds upward.
Token efficiency
Pre-structured, deduped, summarized, so every downstream LLM call spends tokens on signal, not cleanup.
Consistency · Standardization · Provenance
One schema, one set of definitions, every record traceable to its source. The same number everywhere.
Structure & Insights
Sentiment, topics, entities, intent, impact, applied uniformly across every channel.
Compliance
PII redaction, residency, retention, audit, governance applied before the data is ever used. Your data is never used to train models.
Access
Every channel customers talk in, ingested and normalized into one place.
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.
The teams who own the customer, on one layer.
VP & C-level
The board-grade view of voice-of-customer. Same numbers in Snowflake as in the dashboard your CMO sees daily.
audit_trail full
cross_brand built-in
Support & community ops
Launch-day volume in one inbox. Triage, route, label, resolve, without your team flipping between community platforms, helpdesks and social at 2am.
autotriage ∞ rules
networks communities · reviews · social
Brand & social
The conversation shaping your brand, the moment it's shaping it. Languages, regions, networks, ranked by impact.
crisis_latency < 60s
languages 120+
What teams using Affogata say
Affogata gives us one place to read player sentiment across every brand and every channel. Instead of pulling reports out of five tools, the whole org works off the same data. It is the layer our teams trust on launch day.
Insights Lead, top-5 global games publisher
We follow community signal across regions and platforms without losing the detail. When something spikes we can see within the hour where it started and why. It changed how fast we react.
Community Manager, leading global game studio
Every release we watch sentiment by source and let it shape what we fix first. The data is structured the same way each time, so we compare across launches with confidence.
Player Experience Lead, AAA console franchise
Affogata keeps our finger on the pulse across titles, and lets us go deep on a single topic in minutes. It backs up what we feel with numbers we can actually share with the team.
Community & Insights Lead, top mobile games studio
In a regulated environment, having governed, compliant customer data we can act on really matters. Affogata gives us product and trust signals from real users in one stream.
Customer Experience Lead, global fintech trading platform
Recent blogs
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.