How do you handle provenance and lineage?

Every answer links each claim back to the file, page, and version it came from, so lineage is inspectable end to end rather than reconstructed after the fact.

How are permissions enforced?

Permission-aware retrieval runs at query time. Scope access by team, category, or project, and the same question returns only what each user is entitled to see — enforced server-side, not by convention.

Do you train on our data?

No. Your data is never used to train models, yours or anyone else’s, and Merciv is SOC 2 Type II with sourcing methodology documented for review.

How does it fit our existing stack?

Merciv reads from the warehouse, BI, and research tools you already govern — in place. It inherits your access model, so it extends the governed stack instead of becoming another silo to administer.

Can we evaluate accuracy the way we would a model?

Yes. Confidence scores, page-level citations, and code-run lineage make accuracy, coverage, and drift testable, so you can hold Merciv to the same evaluation bar as any system you own.

Data & analytics

Govern your knowledge system without slowing it down

Access provisions and expires automatically, stale research gets flagged before anyone cites it, and every claim traces to its source. Your company’s memory and your ability to use it should scale safely with your org.

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How Data & Analytics teams use Merciv

Provision a team in minutes
Grant exactly the categories a brand or agency needs — nothing else.
Retire stale knowledge
Flag research untouched or unrevalidated past a set window.
Enforce permission boundaries
Two users, two answer sets — held automatically, not by policy on paper.
Trace lineage on demand
Produce the audit trail the moment compliance asks for it.
Find duplicate or conflicting research
See where two tools hold two different answers to the same question.
Consolidate a fragmented stack
Know what your trackers, panels, and surveys hold — and where they overlap.
Track adoption and spend
See who’s using the system, and where cost concentrates.

Knowledge systems don’t stay governed on their own. Access outlasts the project it was granted for, research goes stale, and different tools and sources contradict each other. Nobody notices until it’s a problem, and data & analytics teams waste time worrying about it.Merciv keeps your knowledge system unified, current, and governed automatically.

Knowledge

One governed home for all of your company’s data

Research files, syndicated feeds, and warehouse tables live in one structured corpus with a single set of rules. You can see what’s in it, what’s current, and where two sources hold conflicting answers on the same question.

Permissions

Access enforced automatically, every time

Scope access by team, category, or project, and Merciv holds the boundary every time someone asks a question. Two users asking the same thing get two different answer sets — enforced server-side, not by convention.

Citations & lineage

The audit trail already exists

Every claim traces to its file, page, and version by default. When someone asks how a finding got in front of leadership, it takes a click, not an entire project, to produce the full audit trail.

Connectors

Reason over the systems you already run

Snowflake, Databricks, Looker, and SAP connect directly, so analysis runs against live data instead of a manual export. Nothing has to move somewhere new to be queried.

Retrieval & code execution

Accuracy that holds past 10,000 files

Hybrid retrieval paths keep answers precise at corpus sizes where standard RAG degrades. Quantitative questions are computed in code and shown with their lineage — not estimated by the model.

Add the layer, not another system to manage

Merciv reads from the warehouse, BI, and research tools you already govern — in place, without copying your data somewhere new. It inherits the access controls you’ve already defined, so adopting it doesn’t mean standing up a parallel system to administer.

Reads where your data lives
Connects to Snowflake, Databricks, Looker, and SAP directly. No new pipeline, no duplicate copy to keep in sync
Inherits your access model
Permissions follow your existing identity provider and team structure — not a second set of rules to maintain by hand
Nothing new to operate
No infrastructure to provision, no migration project, no ongoing admin burden landing on your team

Merciv vs. building it in-house

In-house takes quarters. Merciv is query-ready on day one.

A data team can license the feeds, build the pipelines, and govern the PII itself — but that’s quarters of work before the first defensible answer. Merciv is built to be checked: every claim tied to where it came from, every confidence scored, and an honest flag when the evidence isn’t there.

See how Merciv fits your data stack

In-house takes quarters. Merciv is query-ready on day one.
What you get	Building it in-house	Merciv
Time to stand up	Quarters of pipeline, licensing, and QA.	Query-ready on day one.
Data & licensing	You source, license, and govern every feed.	Licensed syndicated, panel, and social — governed for you.
Lineage & citations	Metrics land without traceable lineage.	Every claim links to the file and page it came from.
When the evidence is thin	Silent nulls or a best-guess backfill.	Flags it, scores confidence, and says when it doesn’t know.
Privacy & governance	You own PII isolation and the SOC review.	Zero training on your data, tenant isolation, SOC 2 Type II.
Real vs. synthetic data	Gaps get backfilled with modeled estimates.	Licensed, never synthetic — no fabricated panelists.

Request a demo

See Merciv on your stack

Bring a question your analysts already field. We’ll run a working session on your own sources and show the provenance behind every claim.

Read case studies

FAQ

Govern your knowledge system without slowing it down

How Data & Analytics teams use Merciv

Provision a team in minutes

Retire stale knowledge

Enforce permission boundaries

Trace lineage on demand

Find duplicate or conflicting research

Consolidate a fragmented stack

Track adoption and spend

One governed home for all of your company’s data

Access enforced automatically, every time

The audit trail already exists

Reason over the systems you already run

Accuracy that holds past 10,000 files

Add the layer, not another system to manage

Reads where your data lives

Inherits your access model

Nothing new to operate

In-house takes quarters. Merciv is query-ready on day one.

See Merciv on your stack

Questions data teams ask