A business data catalog built for financial industry users

DataHex Data Library

The institutional data context layer that connects data products, context and control, so your teams and AI agents can discover, trust and use financial data under the same set of governed, self-service workflows.

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The market problem

Why financial firms need to modernize data infrastructure
to stay compliant and competitive

Data discovery takes too long

Analysts spend days tracking down data products they know should exist.

Trust in data is hard to establish

Lineage, quality and licensing are unclear, incomplete, or buried in someone’s inbox.

Institutional data knowledge is fragmented

Expertise stays locked in individuals and walks out the door when people leave.

Compliance is hard to manage

Licensing goes untracked and usage unmonitored, adding cost and regulatory exposure.

Data isn’t available or ready for AI

Data is siloed in legacy systems, and without common taxonomy AI cannot make sense of it.

The platform

DataHex Data Library, a business data catalog purpose-built for the financial industry, with data discovery, lineage, quality, licensing and usage in one interface.

DataHex Data Library catalog: search, filters by provider, venue, asset class and geography, and DataProduct cards with quality scores and access status

Platform outcomes

DataHex Data Library is a financial services data catalog built for the way business users and their AI agents actually work. It is the institutional data context layer that connects data products, context and control across the firm.

Six things change when your data has a single context layer behind it.

Faster access to relevant data

Discover and evaluate data products across vendors, internal, and alternative sources. Results arrive in minutes, not days.

Trusted data at the point of decision

Surface lineage, quality, and licensing context at the dataset level, before any extraction occurs.

Data your AI can find and use

Agents reach governed data across the estate and inherit the same controls as your people.

Knowledge that stays with the firm

Capture usage patterns, analyst notes, and context so tribal knowledge becomes institutional intelligence.

Built-in compliance and governance

Enforce entitlements, licensing, access, and governance policies within workflows, consistently across human users and AI agents, without slowing teams down.

Data spend you can defend

See what is used, by whom and how often, so every renewal is evaluated on evidence.

Key capabilities

How DataHex Data Library works

Surface the data you need, with the context to act.

Purpose-built search across reference, time-series, and alternative sources
Filter by asset class, vendor, coverage, or dataset relationships
Metadata, data quality, and licensing status surface before extraction
Preview, then launch directly into your analytics environment
A knowledge graph connects every asset, column, owner, glossary term, classification, quality signal, lineage edge, policy and contract into one model of your data estate

Data Library catalog with filters and data product cards

Search and filter data products across venues, asset classes and geographies

Data product overview with feed characteristics and access panel

Data product overview, with metadata, licensing and access before extraction

AI assistant analyzing a data product with a generated chart, before licensing

Ask questions and chart the data with the AI assistant, before you request access

When people leave, institutional knowledge doesn’t.

Engineer notes, usage patterns, and code captured alongside the data
Searchable, reusable, persistent across teams and time
Accessible to both analysts and AI agents at the point of use

Discussion thread on a data product with resolved questions

Questions and fixes captured against the data product record

Quality score, trend and automated checks for a data product

Quality score and trend, scored from usage and automated checks

Enterprise-wide visibility into which datasets are used, by whom, how often, and at what cost.

See who accesses what, how often, and via which tools
Identify underused products and surface duplicate vendor contracts
Every licensing decision grounded in evidence, not assumption

Reports overview with searches, views, AI interactions and access requests

Usage, search and AI activity across the catalog

Top data products by views and unique users

Usage reports by data product, search, AI usage, access requests and entitlements

Licensing, access and governance controls are built into the workflow, not added around it.

Licensing conditions and access policies enforced within the workflow
Role-based access control applied consistently across users, teams, and AI agents
Full audit trails on every access event
A built-in Compliance Agent reads license agreements and data contracts, extracting entitlement, redistribution and retention terms and tracking obligations, renewals and breach conditions
Federated by design, so business domains publish and own their data products while definitions, ownership, lineage and policy stay governed in one central layer

Access request queue with approve, reject and revoke actions

Access request queue with approval controls

Access requests by user with request logs

Access request activity by user, with a full audit log

Data is reachable across the estate, with context.

One governed layer spanning legacy systems, business units and geographies, so agents reach your data without a migration project
Every data product carries its meaning, ownership, lineage, quality and licensing, so agents reason over governed institutional knowledge rather than generic assumptions
Three agents ship with the platform: Analyst for plain-language questions and dashboards, Governance for onboarding and enrichment, Compliance for licenses and contracts
MCP-native, and every agent inherits the same entitlements, lineage, classification, policy and audit as a human user, so adopting AI does not widen your control surface

Data product Analyze tab: sample tick data beside the AI assistant answering a question about key use cases, citing catalog metadata, schema and sample data as sources

The AI assistant answers from the data product’s own metadata, schema and sample data, and shows its sources

Compliance & governance

Governance built in, from lineage to entitlements and access control

A market-data feed carries vendor entitlements, redistribution limits and an audit obligation. DataHex governs each one, from lineage and quality through to configurable authorization workflows that work alongside the data ecosystem you already use.

The complete governance stack

Lineage, quality, access control, classification, data contracts, policy, audit and ownership, as first-class surfaces on every data product.

Purpose-fit for market-data licensing

Vendor licensing, redistribution rights and per-user entitlements are modeled and enforced at the point of delivery, not reconciled afterwards.

Broad regulatory coverage

Traceability, licensing compliance, audit-ready reporting, data residency, contract intelligence and a defensible record of AI access.

Entitlements & access control Authorization workflows that fit how your firm approves access Configure single or multi-step approvals by data product, vendor or team. Stewards approve requests for the data they own, down to the individual user, and every request carries its justification and data range. Permissions sync with your source of truth, so the catalog and your data stores stay consistent.

DataHex access requests: pending, approved and declined requests with the justification and data range for each — Access requests carry their justification and data range through approval.

Deployment & integration

RoZetta-managed or self-hosted, deployed to suit your organization

DataHex connects to where your data already lives and deploys on your terms, as a managed SaaS service or inside your own infrastructure. No migration, no forced copy, no new silo. Your data stays where it lives and the knowledge your teams capture remains yours.

Choose your deployment model.

Run DataHex as a fully managed SaaS service and be up and running fast, or deploy it into your own cloud or on-premises environment for full control.

130+ connectors.

Databases, warehouses and lakes, BI, pipelines including dbt, Airflow and Spark, ML platforms, messaging and object storage.

Market-data native.

Tick feeds, security master, reference data, corporate actions, and protocol-aware order-book decoding.

No forced copy.

Your data stays where it is, whether that’s a data warehouse or data lake, in the cloud or on-premises.

Who it's for

Who benefits from DataHex Data Library

Turn fragmented data knowledge into institutional advantage

DataHex captures usage patterns, contextual knowledge and dataset intelligence across the organization, transforming tribal expertise into institutional data intelligence.