about narrative
The normalization infrastructure enterprises have been missing
Narrative applies the power of AI normalization at query time for high-quality, enriched data that’s ready when you are.
Empowering marketers, data scientists, and everyone in between
How it works
The full data lifecycle. Finally.
Unlike most data tools that solve one problem and create three more, Narrative’s suite handles the full data lifecycle so every team, partner, and platform is always working from (and towards) the same source of truth.
Rosetta Stone Normalization Engine
Automatic fluency
You deserve more than endless ETL. Automatically map incompatible data into a universal catalog with no bottlenecks, schemas to wrestle, or disgruntled engineers.
Identity orchestrators
Data on your terms
One unified customer profile from multiple data sources? Not with a legacy vendor. Own, activate, and manage your output all within your own secure cloud.
Data marketplace
Buy, sell, profit
One hub with every building block. Every component a modern data and AI strategy needs — data, skills, connectors, providers, packages, and workflows — typed, versioned, and ready to install.
Connectors
Deliver without detours
Your audience is waiting. Close the loop between data acquisition and campaign activation by delivering straight to Meta, Google, and more simultaneously without custom APIs or pipeline maintenance.
Narrative’s Approach
Learn how we actually make data actionable
Rosetta Stone Attributes
Universal Data Catalog
Applies a common language to every dataset without needing unique mappings
Rosetta Stone Attributes give you a catalog of canonical, standardized definitions—email, age, product ID, country, etc—that sit as a semantic layer above raw supplier schemas. Query attributes as a first-class source, preserve lineage through transformations and materialized views, and join consistently across every supplier without rebuilding bespoke mappings for each new dataset or partner.
Rosetta AI, Rosetta Stone Normalization Engine
AI-assisted Mapping
Automatic field matching between datasets for data that arrives normalized and ready to use
AI generates field-level mappings at query time, eliminating the standard ingestion pipelines you typically travel before data becomes usable. When schema mapping hits the limit, row-level ML and LLM-powered classification handles the long tail automatically. You manage mappings through a full lifecycle, and in Snowflake-native deployments, inference runs close to the data plane, returning suggested mappings as metadata without touching underlying data.
Normalization is the hidden time-tax that kills collaboration. It’s slow, fickle, and repeats endlessly. AI-assisted mapping turns it into an ongoing, scalable capability so new data becomes usable faster and stays usable as schemas drift further apart.
Identity Orchestrator
Graph-agnostic Identity Orchestrator
A flexible system that connects fragmented customer data with no single-vendor lock-in
Graph-agnostic identity resolution supports configurable deterministic and probabilistic matching to fit your use case, with BYO logic to override for custom match logic when you need it. This architecture lets you swap identity partners without destabilizing the rest of your stack. Because Rosetta Stone normalizes identity-related attributes upstream, your resolution layer operates on cleaner, standardized inputs which improves match quality and consistency across every source.
Data Marketplace
Data Marketplace
A centralized place to buy, combine, and start using data immediately
Incoming data is normalized on arrival; then governed, tracked, and mapped to Rosetta Stone Attributes so it's immediately queryable alongside your own datasets.Access rules, licensing terms, rate cards, and row-level provenance travel with every transaction, giving you a governed collaboration surface instead of an unstructured file exchange. Source exactly what you need, join it immediately, and skip the normalization sprint.
It creates liquidity and speed. Source the exact raw data you need, avoid overbuying, and shorten time-to-value. Because datasets are interoperable as soon as you access them.
Governance
Governance
Control framework that determines who can access what data, under what conditions.
Data collaboration fails without trust. Governance ensures compliance, prevents accidental over-sharing, enables safe internal/external collaboration, and makes monetization viable because licensing/permissions are enforceable and auditable.
- Save query outputs directly as access rules, attach permissions, pricing, and tags, then reuse them safely across workflows
- Collaboration Policies define exactly what each party can view, map, and share
- Governance enforces at the row level while provenance and policy implications travel with every output for clean auditing and downstream enforcement
- Apply opt-out and privacy filters at query time in the data plane so excluded identifiers never surface in results
NQL, Data Studio
Narrative Query Language
A standard query language that lets you filter, join, and combine data across any source.
NQL is SQL-like by design. It's tailored to Narrative's abstraction model, querying Rosetta Stone Attributes as a source, referencing access rules by name, and joining across governed external datasets without custom pipelines. NQL supports interactive query previews—so you can validate logic before committing—and incremental view maintenance for efficient large-dataset refreshes.
Pair it with Query Builder or Data Studio for teams that need a UI layer. Or stay in the editor and work at full power. NQL makes cross-supplier data feel like it lives in one logical database and accelerates iteration for both technical and semi-technical users.
Narrative Anywhere
Narrative Anywhere
Applies a common language to every dataset without needing unique mappings.
Run normalization and collaboration workloads directly inside your cloud environment. Compute comes to the data, not the other way around. In Snowflake-native deployments, in-environment components pull sample data locally, run mapping and normalization inference, and return results and metadata without moving underlying data. Keep your governance consistent, simplify compliance, and eliminate ingestion pipelines. All without ceding control of your data plane.
Our products
Powerful data tools come together creating first-of-its-kind infrastructure
Security and compliance
Universal language
Ownership
Intuitiveness
Integration
Security and compliance
Don’t uproot your data
Narrative runs behind the scenes, adjacent to your existing infrastructure. Every query, every workflow, every output stays in the family.
Universal language
Let your data speak
Every data source has a dialect. And Narrative speaks them all. Stop wasting time and money on bespoke engineering solutions. Automatically translate incompatible formats into one common language so your data can finally communicate.
Ownership
Build what you need, own what you build
Gone are the days of vendor lock-in, blackbox methodology, and re-licensing costs. Your identity graph, your audience segments, your data products. Built inside your own system and owned outright.
Intuitiveness
Inclusive tech for the whole team
From plain-language prompts to point-and-click queries to full NQL, every team member works the way they already think. One platform, one governance layer, three ways to work.
Integration
Fits with the way you work
Narrative is made to be forgotten. It’s the connective tissue between your workflows, your systems, and your stack. The only adjustment your team will make is how to spend the extra time they’re not wasting switching between tools and reformatting data.
Resources
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