Intelligence that works before you ask
Merciv monitors continuously, surfacing patterns, shifts, and opportunities before they become obvious.
Merciv helps CPG and retail brands turn scattered consumer signals into clear, real-time recommendations — so your team can understand what’s changing, why it matters, and what to do next.
Consumer signals live across reviews, social, research, syndicated data, sales, and internal knowledge. Merciv connects them in one place so patterns are visible before they show up in a quarterly readout.

Ask questions across social, reviews, syndicated data, internal knowledge, and the open web — and get sourced answers in seconds.
Run sentiment analysis, trend detection, competitive comparisons, and opportunity mapping in natural language.


Monitor your portfolio, competitors, categories, and consumers continuously, so your team can act before shifts become surprises.
Every output is traceable from source data to recommendation, with citations, reasoning, and context built in.


Merciv monitors continuously, surfacing patterns, shifts, and opportunities before they become obvious.
Social signals, syndicated research, internal documents, sales data, and external data — synthesized without manual stitching.
See which sources were used, how they were interpreted, and why each recommendation was made.
One governed intelligence layer across your social, syndicated, and internal data. Already running inside some of the world’s largest consumer brands.
Everything your teams know in one place, auditable and scoped by role.
Every insight shows its source and a confidence score.
SOC 2 Type II, a zero-training policy, isolated and encrypted by default.
Merciv is a consumer intelligence platform. It pulls from social, the open web, syndicated reports, retail and review data, and your own internal documents, then synthesizes across all of it into a single intelligence layer and hands back executive-ready decks, reports, and dashboards with every finding traced to its source.
Social listening tools treat social data as the whole picture. Merciv treats it as one input among many, synthesized alongside internal data, syndicated reports, reviews, and the open web. The other difference is the output: Merciv delivers decisions you can defend to leadership, with full source attribution and confidence scoring rather than a dashboard of mentions.
General AI tools have no connection to your syndicated data or internal reports, no source attribution, no confidence scoring, no audit trail, and no guarantee that your data stays out of model training. Merciv is built on top of those same LLM capabilities, but wraps them in the data access, auditability, and workflow layer that an enterprise research team actually needs to use the output.
Work in the format your team already uses: PowerPoint decks, Word reports and briefs, Excel analyses, and shareable in-platform reports. Everything comes executive-ready, with the underlying sources attached so the findings hold up under scrutiny.
No. Merciv operates a strict zero-training policy. Your tenant is fully isolated, with no data commingling between customers and no third-party model training on anything you upload.