I'm trying to...
Securely Collaborate
Share insights, not data, with partners, customers, and providers across clouds. Narrative gives you a world-class clean room that runs on your data, in your cloud, in the data language your team already speaks.
trusted by global leaders
Today
Modern collaboration still runs on CSVs and crossed fingers.
Even data clean rooms make you replicate data, learn a new query language, or stand up a third-party environment to host the join. The work that should be a five-minute query becomes a six-week procurement project and your data still ends up somewhere else.
COLLABORATE IN PLACE
NORMALIZE BEFORE YOU COLLABORATE
RESOLVE WITHOUT SHARING PII
OWN ACCESS RULES
COLLABORATE IN PLACE
Your data, where it already lives.
Narrative runs inside your cloud so collaboration happens at the data, not in a third-party environment. The clean room comes to your data; your data doesn’t go to the clean room. Nothing leaves your perimeter, nothing gets duplicated, nothing waits on a delivery.
NORMALIZE BEFORE YOU COLLABORATE
Disparate data, instantly comparable.
Narrative harmonizes schemas, naming, and value variations across every partner, so two organizations bringing different data shapes can join, build audiences, and measure on common ground. Schema reconciliation becomes a precondition the platform handles.
RESOLVE WITHOUT SHARING PII
Match across organizations on a shared spine.
Narrative can resolve people across partner data without either side exposing raw identifiers. Reach is preserved, privacy is preserved, and the math works for both teams.
OWN ACCESS RULES
Permissions enforced at the query layer.
Define exactly who can use which fields, for which purposes, under which contracts, and enforce it where every query runs. Compliance stops being an audit; it becomes a default.
Why Narrative?
Share without ever shipping.
Move Beyond the Clean Room
Federated Multi-Cloud Architecture
Collaborate across Snowflake, Databricks, AWS, and GCP — without anyone leaving home.
Narrative runs natively in every major cloud, so two organizations on different stacks can join, audience, and measure on the same data without either side replicating into the other's environment. Data stays put; only the result of the query crosses the boundary. The collaboration happens between the data, not between the data centers.
“Partnering with Narrative.io has empowered us to seamlessly scale our offerings across diverse social platforms. Ultimately, this collaboration has been key to achieving our objective: engaging with our customers exactly where they are."
Dennis O'Donnell, Head of Ad Product
The Weather Company
“What I am looking for is a #RosettaStone. I don’t have the resources to pick through endless data sets and clean and harmonize them. I am calling it the great marketing emergency. We’ve got all this data, but we need #AI to stitch it together as a means to help our clients drive growth. We have the ability to have a fluid conversation with the consumer at the different points in their journey.”
Domenic Venuto, Chief Product & Data Officer
Horizon
“Traditional commerce media models often expose brands to unnecessary privacy risks by moving data into third-party environments. Our work with Narrative eliminates that risk while unlocking sophisticated audience-building capabilities that deliver real outcomes.”
Marni Schpario
Block
OTHER USE CASES
Collaboration is just the start.
NORMALIZE
Turn raw data into structured signal.
Normalize, label, and categorize data inside your warehouse — with ML, LLMs, and human feedback in one loop. Cleaner inputs make every downstream use case sharper.
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BUILD MY OWN IDENTITY GRAPH
Own the spine your business runs on.
Configure match logic, swap providers on demand, pay only for net-new identities resolved. Your graph, deployed inside your cloud, under your control.
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ENRICH
Add the attributes that make targeting precise.
Augment first-party data with a marketplace of normalized providers and hundreds of mapped attributes — joined to your customer file in your cloud, ready to drive segmentation, targeting, and measurement.
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ACTIVATE AUDIENCES
Get audiences from definition to delivery in hours.
Push resolved-person audiences to every DSP, ad platform, and CRM with pre-built Connectors. Compliance rides along; activation lag goes away.
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MONETIZE
Sell your data, keep your control.
Package, price, and license data on your terms. Buyers query it in place under your contracts and access rules with no bulk shipping, and no per-buyer custom prep.
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Resources
Insights, stories, & resources for the teams building modern data infrastructure.
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Ask Us Anything
Straight answers to real customer questions.
Most teams are normalizing live data within days of connecting their first sources — not months. There's no multi-quarter implementation, no professional services dependency, no bespoke build required. You connect your sources, define what coherence looks like for your use case, and Narrative does the translation work. The timeline question is usually less about setup and more about how quickly your team can act on data that's finally consistent.
Those tools move data and act on it. They don't normalize it. They're built on the assumption that the data arriving is already clean, consistent, and semantically coherent — and in most real-world data partnerships, it isn't. Narrative is the layer that makes your existing collaboration and activation infrastructure work the way it was designed to. The teams getting the most from their data stack are typically the ones who've solved normalization first.
Most teams do, at first. The problem isn't the initial build — it's everything after. Every partner schema change breaks it. Every new data source requires rebuilding it. Every team transition means relearning it. The engineering debt compounds faster than the business value accrues. Narrative replaces a perpetual maintenance burden with infrastructure that's designed to absorb that complexity so your team doesn't have to.
Data and analytics teams at companies where external data is a core business input — not a supplement. Typically organizations that are buying data at scale, monetizing their own data assets, or running structured data partnerships with other companies. If your team is spending meaningful engineering time just making external data usable, that's the problem Narrative is built to eliminate.
AI models don't tolerate inconsistency. When a "user" in one dataset isn't recognized as the same "user" in another — different schemas, different taxonomies, different identifiers — your models train on noise and your outputs reflect it. Narrative normalizes data at the source so the AI layer above it is working with signal. Garbage in, garbage out isn't an AI problem. It's a normalization problem.
Your warehouse stores data. Your CDP activates it. Narrative normalizes it — resolving the semantic inconsistencies that make data from different sources incompatible before it ever reaches those tools. We don't replace your stack. We fix the layer underneath it that your stack assumes is already solved.