Merciv

Merciv is a B2B consumer intelligence and market research platform purpose-built for CPG brands, retailers, and their research and insights teams. The platform connects a company's internal data assets — including reports, strategy decks, spreadsheets, presentations, and customer feedback — with syndicated research feeds and live external signals from across the open web, delivering a unified knowledge graph that enables defensible, cited consumer insights at scale and speed.

The platform addresses a core challenge facing modern CPG organizations: consumer knowledge is scattered across internal files, disconnected tools, and the open web, forcing teams to spend hours on manual retrieval, rely on stale data, and make high-stakes decisions without full context. Merciv resolves this by ingesting and structuring data from more than 1,300 connectors — including enterprise systems such as Looker, Snowflake, Databricks, SAP, Google Drive, and SharePoint — alongside social platforms like Reddit, TikTok, Instagram, and X, as well as Amazon reviews, Google Trends, and the broader open web.

Merciv's core capabilities span several functional areas. Its Research module allows users to ask plain-language questions and receive structured answers with source citations and confidence scores, covering deep brand and category comparisons, web and social search aggregation, internal document search, and interactive consumer personas built from real segmentation data. The Track module enables brands to monitor specific SKUs, competitors, and categories on a defined cadence, surfacing sentiment shifts, competitor launches, and emerging behaviors with contextual briefings. The Deliver module generates finished outputs — PowerPoint presentations, Word reports, and structured Excel exports — directly from validated research runs, preserving citations and confidence scoring throughout.

The platform is engineered to operate at a scale that general-purpose AI tools cannot match, reasoning across more than 20 million files in a single context window and analyzing 40 times more sources at runtime than a single-model build. Attribution and provenance are built into the processing pipeline by design, ensuring every finding traces back to its source. Intelligence compounds over time as new signals are interpreted against previously processed data, improving pattern recognition with each query.

Merciv serves leading global CPG brands, national beverage manufacturers, and large retailers. Documented outcomes include preventing approximately $12 million in overstock for a national home improvement retailer and reducing research costs by 87% for a leading national beverage manufacturer. The platform is positioned as a decision-support layer for consumer insights directors, brand strategists, and analytics teams who need to answer complex market questions quickly without sacrificing rigor or traceability.