Can I trace every number back to the source document and page?

Yes. Every claim links to the source material behind it, down to the file and page, so you can open the source itself the moment someone challenges you. Confidence opens to agreement, recency, and coverage, and surfaces where sources disagreed — a defensible range, not a tidy verdict that gets you caught.

When the evidence is thin, will it tell me — or will it guess?

It tells you. Merciv flags thin evidence and says when it doesn’t know, instead of filling the gap with something plausible — an answer that quietly guesses is the one that fails under scrutiny.

If I load ten years of our proprietary research, who inside our company can see it?

Only the people you scope it to. Retrieval is permission-aware and inherits the access model you already run — scope by team, category, or project holds server-side, not by convention.

Legal will ask about PII handling and SOC 2 Type II. What can you send before the first call?

Merciv is SOC 2 Type II with independently audited controls, documented for review. It works at category and segment level — no PII, no individual-level decisions — and your data is never used to train models, so Legal can review the posture before the call.

What happens to the institutional knowledge if I leave — does my team keep it?

They keep it. The corpus and everything learned against it live with the organization, not in one person’s files or head, so a departure doesn’t reset what the team already knows.

Merciv for Consumer Insights

Make insights more valuable

Answer the questions your stakeholders are asking — across everything you’ve ever learned and everything consumers are doing now, with page-level citations and a confidence score that holds up under tough scrutiny.

Request a demo

Chat

Answer your team’s questions in an afternoon

Ask across prior studies, licensed data, and current consumer signals. The answer includes the sources behind it, so you can check the evidence before sharing it.

Deliverables

Create, edit, and collaborate on research deliverables

Build a category review or stakeholder brief with narrative, charts, and citations already assembled. Edit it with your teammates and keep the source material attached.

Auditability

Ground every recommendation in evidence you can defend

Trace each finding to its file, page, or post. When sources disagree or evidence is thin, the answer shows the gap so you can decide what needs more research.

Knowledge

Put decades of research back to work

Before you commission the next study, ask what the last three concluded and whether it still holds today. Merciv keeps every study you’ve run in one governed, queryable place, checked against current movement — so you spend on the gap, not the rerun.

Personas

Close the gap between what consumers say and what they do

What people say in a survey and what they buy often disagree. Merciv puts the stated preference next to the observed behavior in the same cited answer, so you can brief on the gap instead of picking a side.

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How insights teams use Merciv

Answer while the decision is still open
Turn a stakeholder request into a cited answer in days, against a research cycle that runs about nine weeks.
Check what you already know before fielding
Search every prior study, tracker wave, and deck first, so you don’t spend again on a question you’ve already answered.
Defend the recommendation line by line
Every claim traced to its study, method, sample, and date — so it holds when the CFO pushes back.
Revalidate an aging segmentation
Test whether the segments you built three years ago still describe the market, before the next planning cycle assumes they do.
Give stakeholders governed self-serve
Let brand teams ask their own questions inside your standards, instead of going around them.
Triangulate what they say with what they do
Survey intent, panel behavior, and review language in one cited read, with the gaps named.
Show what the function changed
Log which studies moved which decisions, for the impact conversation you now have every year.
Pressure-test an AI-assisted finding
Validate model output against human evidence, with disclosure, before it reaches the CMO.

You’re being asked more questions, by more people, on shorter timelines. Prior work is scattered across studies, research, and data that the business cannot easily reach.Merciv puts your team’s memory next to what consumers are doing now — cited, and ready when someone asks how you know.

Common questions

How Merciv works with your data

How is this different from a research repository?
A repository stores files and waits for you to find them. Merciv answers across them, joins them to live signal and syndicated context, and sends every claim back to the exact source, so retrieval stops being a manual scan.
How is this different from ChatGPT or Claude on our files?
Those tools are strong at ad-hoc work. They don’t keep a persistent, permissioned corpus of your research next to licensed consumer data, and they don’t give you page-level citations you can open the moment a claim is challenged. Merciv does.
Does this replace our NielsenIQ and Kantar subscriptions?
Nothing needs to change. Merciv sits beside the panels and trackers you already license, so those numbers can answer next to reviews, live signal, and your own research instead of staying isolated in a portal.

Your stack

Make the most of the research you already have

Merciv doesn’t replace your trackers, panels, survey platform, or syndicated contracts — it’s the layer where they finally work together.

Research files
Decks, reports, transcripts, spreadsheets, and more
Syndicated feeds and BI
NielsenIQ, Circana, Snowflake, Databricks, and more
Survey platforms
Questionnaires, results, and raw exports

Built for how insights teams defend an answer

Visit the Trust Center

Every claim cited
Each answer links back to source material the reader is authorized to open
Confidence on every answer
Open the score — agreement, recency, coverage — and see where sources disagreed
Says so when it doesn’t know
Thin evidence is flagged, not filled in with something plausible
Zero training on your data
Your data is never used to train models, yours or anyone’s
Grounded in real data
Synthetic personas are evidence-grounded segments from your licensed data — not invented consumers
SOC 2 Type II
Independently audited controls, cleared for procurement

Request a demo

Redefine the role of insights

Bring a question your team already has to answer. We’ll show Merciv answering it, cited, on your own category.

FAQ

Questions insights teams ask

Resources

Make insights more valuable

Answer your team’s questions in an afternoon

Create, edit, and collaborate on research deliverables

Ground every recommendation in evidence you can defend

Put decades of research back to work

Close the gap between what consumers say and what they do

How insights teams use Merciv

Answer while the decision is still open

Check what you already know before fielding

Defend the recommendation line by line

Revalidate an aging segmentation

Give stakeholders governed self-serve

Triangulate what they say with what they do

Show what the function changed

Pressure-test an AI-assisted finding

You’re being asked more questions, by more people, on shorter timelines. Prior work is scattered across studies, research, and data that the business cannot easily reach.Merciv puts your team’s memory next to what consumers are doing now — cited, and ready when someone asks how you know.

How Merciv works with your data

Make the most of the research you already have

Research files

Syndicated feeds and BI

Survey platforms

Built for how insights teams defend an answer

Every claim cited

Confidence on every answer

Says so when it doesn’t know

Zero training on your data

Grounded in real data

SOC 2 Type II

Redefine the role of insights

Questions insights teams ask

Further reading for insights teams

Triage research requests smarter

When your data sources conflict

Build AI findings leaders can click through