Affogata
9 known investors
Affogata provides a unified platform for collecting, analyzing, and delivering customer feedback data from reviews, social media, communities, app stores, and support channels. The platform structures this feedback with sentiment analysis, topic clustering, and compliance controls, delivering it to dashboards, AI agents (via MCP), data warehouses, and business tools for product teams, support leaders, and executives.
Also known as Affogata
Founders & leadership
Investors Β· 9
Also in the syndicate Β· 6
Company profile
researched Aug 2026Affogata is an Israeli company that ingests customer feedback from public and internal channels β app store reviews, online communities and forums, social platforms, review sites, regional sources and support tickets β and turns it into a single governed, structured data stream. The platform applies sentiment scoring, topic taxonomies, spam and toxicity filtering, keyword extraction and AI-driven "Conversation Clusters" that the company says are computed over the full ingested dataset rather than a sample, with each number traceable back to the underlying posts.
The company describes its product as a "CX Data Enablement Layer" delivered through four access paths: a web UI with dashboards, an inbox for replying across channels, alerts and digests; an MCP server that exposes the data to Claude, ChatGPT, Gemini and other AI clients; a data integration layer (DIL) that syncs Iceberg/Delta Lake tables into Snowflake, Databricks or BigQuery; and a REST API with webhooks into CRM, Slack, ticketing and internal applications. Feature areas include a Helper AI analyst, live dashboards with a per-brand Impact Score, release-impact analysis per app version for iOS and Android, community and support intelligence, custom topic taxonomies, and competitor benchmarking published weekly on a public benchmarks site covering categories such as trading apps, payment apps, travel, streaming, gaming genres, dating, education and mental health apps.
Governance and compliance are positioned as part of the layer: read-only, permission-scoped access, PII masking in the pipeline, a statement that customer data is never used to train AI models, and GDPR, CCPA, ISO 27001, ISO 27701, ISO 42001 and Microsoft SSPA compliance claims.
Founding story
Affogata was founded by Sharel Omer and Itamar Rogel around the premise that customer feedback is an underused corporate asset and that the technology now exists to process it at scale. Sharel Omer is co-founder and CEO.
Business model
Affogata sells access to its feedback data layer to enterprise brands, with a free read-only MCP sandbox as an entry point and demos booked for use on a customer's own brand data. Delivery is via subscription-style platform access across UI, MCP, warehouse tables and API.
The site does not disclose pricing tiers; it positions the offering against the cost of in-house builds, citing roughly 85% lower total cost and an illustrative comparison of about $200 in model tokens per refresh to read 1M feedback items directly versus about $0.10 for the same answer over its MCP.
Traction
The company lists EA, Supercell, Scopely, Microsoft and eToro among brands using the platform, and states it works with large gaming, fintech and mobile app companies whose feedback arrives in millions of data points per month.
Latest developments
Recent product emphasis is on the MCP server and free sandbox for connecting customer feedback data to Claude, ChatGPT and Gemini, the warehouse-native DIL integration for Snowflake, Databricks and BigQuery, Conversation Clusters, and a weekly public benchmark site covering app and game categories.
βΈFull profile β market position, technology, go-to-market, geography, history
Market position
Affogata positions itself as replacing the social listening category rather than competing within it, arguing that dashboards are not the endpoint and that feedback data must flow into product tools, warehouses and AI agents. It frames its main alternative as companies building the capability in-house, citing access, repeatability, governance, maintenance, compliance, analysis cost and benchmarking as the gaps.
Stated differentiators include clustering computed across 100% of ingested data rather than a sample, repeatable structured outputs designed for LLM agents, a single governed definition set shared across all delivery surfaces, source-linked insights instead of raw data dumps, built-in compliance certifications, and MCP treated as a first-class access path alongside the UI, DIL and API. The company also cites access to sources that have become harder to reach as X, Reddit and Meta restricted their APIs and as app stores and Discord resist crawling at scale.
Technology
Connectors to 30+ sources and 20+ source types across communities, app stores, review sites, forums, social and support systems; multilingual coverage of 120+ languages; AI semantic clustering across the entire ingested dataset with noise and spam filtering; sentiment and topic models, including sentiment tuned for gaming vocabulary; per-version release impact scoring; a versioned schema served through an MCP endpoint; Iceberg/Delta Lake table sync into Snowflake, Databricks and BigQuery; PII redaction in the pipeline and per-call permission scoping.
Go-to-market
Self-serve entry via a free MCP sandbox requiring only Google sign-in and no credit card, alongside booked demos on a prospect's own data. The company also publishes weekly public competitor benchmarks and digests by app category as a content and lead channel, and markets explicitly to AI agents and LLMs reading its pages.
Game studios and publishers, mobile app companies, fintech and commerce brands, with buyers spanning CX teams, data teams, product managers, support leaders, developers building internal tooling, and operations and executive stakeholders.
Geography
Described in press coverage as an Israeli startup; source coverage spans multilingual and regional feedback sources with support for 120+ languages.
History
The company began in what it describes as the social listening model β collecting mentions and displaying them on a dashboard. It announced a $5.5 million Seed round in April 2021 and extended that round to $9.5 million in March 2022, led by Mindset Ventures and co-led by Mangrove Capital and PICO Venture Partners with angel participation from Israeli tech founders and executives. At that time the platform was positioned as an AI-driven customer voice analysis tool combining open web, community and internal data sources, increasingly serving product management teams. The company subsequently rebuilt the product around a single ingestion and governance model with multiple delivery surfaces β UI, MCP, warehouse integration and API β repositioning from social listening to a "CX Data Enablement Layer."
Compiled by commissioned research from 5 cited public sources β announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed β not independently audited.
Competitors Β· 9
by search overlap
Companies competing with Affogata for the same Google search keywords, organic and paid, via search-intersection analysis.
Timeline Β· 4
launches, deals, and filingsAffogata offers an MCP server endpoint (app.affogata.com/mcp) that exposes a customer's feedback data to Claude, ChatGPT, Gemini and other MCP clients, plus a read-only free sandbox accessible via Google sign-in.
Affogata launched DIL, which delivers customer feedback data as live Iceberg/Delta Lake tables in Snowflake, Databricks or BigQuery without code or PII.
Affogata announced the extension of its Seed round to a total of $9.5 million, led by Mindset Ventures and co-led by Mangrove Capital and PICO Venture Partners, with participation from individual investors including Avishai Avrahami (Wix.com), Micha Kaufman (Fiverr), Giora Yaron and Ronen Shilo (Conduit). Proceeds were earmarked for expanding the customer voice analysis platform.
$9.5M source β
Affogata announced a $5.5 million Seed round to expand its customer intelligence platform.
$5.5M source β
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
In the news
βΈResearch sources Β· 5
primary sources listed
- Affogataaffogata.com Β· web
5 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Affogata do?
- Affogata operates a CX data enablement layer that delivers governed customer-feedback data to dashboards, warehouses and AI agents.
- Who founded Affogata?
- Affogata was founded by Sharel Omer, Ran Margaliot, Itamar Rogel.
- Who are Affogata's investors?
- Affogata's investors include Mangrove Capital Partners, Mindset Venture, PICO Venture Partners.