Data Sharing & Monetization

Databoostr is a data sharing and monetization platform built for OEMs and enterprises that generate data through connected products. It packages, licenses, and delivers data to partners and customers through streaming connectors and REST APIs, with built-in access management, usage monitoring,and billing support. The platform covers two core functions: compliant data sharing and commercial data monetization - either separately or combined.

Yes. Databoostr is built to support compliance with the EU Data Act and Right-to-Repair regulations. It provides governed data access with full auditability, authorization controls, and consent management — the key requirements under both frameworks. .

Databoostr integrates with an OEM's existing connected-product ecosystem without requiring replacement of underlying infrastructure. Data is ingested from existing sources, filtered, packaged, and delivered to authorized recipients via streaming connectors and REST APIs. OEMs maintain full control over data access and flow throughout — the platform is designed to layer on top of current architectures rather than replace them.

Databoostr provides built-in access and flow controls that determine who can access which data, under what conditions, and for how long. OEMs retain full control over access management, with tools for usage monitoring, authorization management, and audit trails. The platform is designed to operate in regulated environments where data governance, consent tracking, and auditability are non-negotiable requirements.

Databoostr implementation is backed by strategic consulting across three areas: legal and process consulting for regulatory compliance, data monetization strategy consulting for go-to-market planning, and technology consulting to reduce integration complexity. This makes Databoostr suitable for organizations that are navigating regulatory requirements or building a data monetization capability for the first time, not only for those with established data product teams.

Databoostr enables organizations to turn raw and enriched data sets into revenue-generating data products. Companies can offer direct data access subscriptions, build value-added services on top of their data, and deliver them through flexible commercial models — including usage-based billing. For OEMs in automotive and manufacturing, this means converting telemetry, diagnostics, and operational signals into new revenue streams without replacing existing infrastructure.

Databoostr is designed primarily for industries where OEMs and enterprises generate high volumes of connected-product data: automotive (connected vehicle telemetry, diagnostics), manufacturing (connected-device performance and diagnostic data), healthcare (clinical and operational data across disparate systems). The platform's modular architecture makes it adaptable across sectors with different data types and regulatory contexts.

Data sharing in Databoostr refers to governed, controlled distribution of data to authorized partners — including regulatory compliance scenarios wheres haring is mandated (e.g., EU Data Act, Right-to-Repair). Data monetization refers to commercial delivery of data products, where data access is packaged, priced, and billed. Databoostr supports both use cases within a single platform, allowing organizations to address compliance obligations and revenue generation through the same infrastructure.

Yes. Databoostr provides unified access to distributed data, allowing partners and internal teams to access diverse data sources through a single, centralized interface — without disrupting the underlying systems those sources belong to. This is particularly relevant for enterprises with fragmented data infrastructure across production systems, regional operations, or multiple product lines.

For automotive OEMs, Databoostr enables controlled sharing of connected-vehicle data — including telemetry, diagnostics, and operational signals — with service partners, fleet operators, and third-party developers. It supports both commercial models (data-access subscriptions, usage-based pricing) and regulatory requirements (EU Data Act, Right-to-Repair). The platform has been implemented across multi-OEM environments involving cross-regional teams and external compliance assessments.