Data Exchange

Exchange data across your entire ecosystem

Harbr's secure infrastructure allows you to deploy your own Data Exchange platform, on top of your existing data stack.

See how it works
Overview

Deploy your own Data Exchange

Harbr is the white-label technology that allows you to deploy and operate your own data exchange, without a bespoke build project. 
Layer it on top of your existing data stack to connect entities across your ecosystem, govern who can see and access what, and enable secure sharing between every party, including AI.

Features

Why use Harbr for your Data Exchange?

Standing up an exchange for an entire ecosystem is hard to engineer from scratch, and harder to manage and govern as participants multiply. 

Harbr gives you the ready-to-deploy infrastructure to roll out and onboard across your entities with ease, so your team can focus on the value of shared data, not the stress of a build project.

Your brand, your stack

The exchange runs under your name, on the systems you already use. Harbr's infrastructure layers on top of your existing ecosystem to facilitate secure sharing. No bespoke build, no rip-and-replace.

Built to scale with your ambitions

Onboard new entities, data products, and consumers, without re-engineering the platform or hitting a ceiling. Enterprise-grade infrastructure that keeps pace with your ambitions, from first pilot to full ecosystem.

Governed across every party


In a Harbr-powered exchange, governance isn't just yours. Every provider across your ecosystem sets the terms for their own products, while you keep control of how the ecosystem operates.

AI-ready, by default

Harbr's publishing process ensures all products in your exchange are ready for AI consumption, and that agents can access data with the same governance as human users. No separate AI pipeline to build, and no loss of control over who (or what) gets access.

How it works

The infrastructure to manage every exchange

Shape the ecosystem

Control who participates and what each party can see. Configure operating patterns (one-to-one, one-to-many, many-to-many, with or without visibility between participants), so your exchange matches the shape of the relationships within it.

Package and productize data

Every participant can turn datasets, files, models, and insights into governed data products that others, human or AI, can find, understand, and use.

Control access and entitlements

Access sits with whoever owns the data. Each provider defines who can use their products and on what terms. Subscription-based entitlements, approval flows, and permissions, applied consistently across every participant and product.

Deliver data however it's consumed

Consumers access data the way that suits them: direct access, secure collaboration, delivery into their own systems, or programmatically via Model Context Protocol. Every method runs under the same entitlements and governance, whether the consumer is human or AI.


Maintain a complete audit trail

Every access request, approval, and consumption event is logged, traceable, and defensible. Whether the consumer is human or AI, you have the record to demonstrate compliance across the whole ecosystem.

Users

One data sharing platform.
Every data stakeholder.

Harbr’s technology is designed for the whole ecosystem — the people running the programme, the people producing and publishing data, and the people coming to use it.

Platform operators


As the operator, you launch a governed data platform, not a data project. You stay in control of the environment, and every interaction lands in one audit trail. Governance that scales, without you becoming the bottleneck.

Data providers

Harbr gives you a single place to manage it all: from your platform branding and integrations to your governance model and access controls. Define the operating model once, then apply it consistently across every product, every producer, and every consumer on the platform.

Data consumers

Harbr gives you a single place to manage it all: from your platform branding and integrations to your governance model and access controls. Define the operating model once, then apply it consistently across every product, every producer, and every consumer on the platform.

Share valuable data across your entire ecosystem

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