If your copilots run only on public data, you’re making high‑stakes decisions on incomplete,
hallucinated, and non‑traceable answers. The brands that win will hook their agents into real
consumer signal, not vibes.
Strong at generating language. Weak on fragmented, fast-moving market reality.
The signal layer that gives AI real market context to work from.
Some teams want workflows out of the box. Others want to power copilots, assistants,
and internal AI with better market data. Revuze supports both.
Revuze Agents handle the tracking work teams already do manually across launches, issues, competitors, trends, returns, and PDP performance.
Best for brand, insights, product, and eCommerce teams that need faster decisions from trusted consumer signals.
If your team is building copilots or agentic workflows, Revuze supplies the context public LLMs do not have: what buyers are saying, what changed in the category, where friction sits, and which brand, SKU, retailer, or claim is affected.
Best for AI, data, IT, and innovation teams building internal AI environments on trusted market context.
Revuze is not a general model wrapped in a UI. It is a market intelligence system
built for CPG and retail, designed to collect, clean, connect, and act on consumer
signals that generic AI cannot reliably interpret on its own.
Signals from reviews, PDPs, search, social, returns, and care are collected and processed continuously, so insights refresh without manual projects or spreadsheets.
Signals are cleaned, de‑duplicated, and structured before any AI workflow runs, so agents act on verified VoC instead of hallucinated or inconsistent inputs.
Every signal is mapped into one shared taxonomy of categories, brands, products, claims, and SKUs, giving teams and agents a single, consistent view of the market.
Insights are calculated from structured category data and exposed through agents and MCP connectors, so you can both act and independently validate what AI recommends.
A live agent watching the category, so your team can act while there’s still time.
Choose the workflow the agent will run: launch monitoring, issue detection, competitor tracking, trend analysis, sentiment monitoring, or shopper friction.
Define the category, brands, SKUs, competitors, retailers, channels, and thresholds the agent should continuously watch.
Start receiving live alerts, benchmarked reports, and recommended actions tied to the exact products and signals that changed.
Choose which Revuze MCP tools you want to expose: launch health checks, PDP diagnostics, sentiment drivers, competitor moves, returns analysis, or shopper friction.
Define the Revuze MCP endpoint in your orchestrator, authenticate with your keys, and configure scopes by category, brand, SKU, retailer, channel, and environment (dev, staging, prod).
Start letting your assistants call Revuze tools directly from prompts and workflows, and receive structured responses, benchmarks, and recommendations tied to the exact products and signals that changed.
Revuze is the consumer signal foundation behind the agents, copilots,
and decisions leading brands rely on.