Build your data space PoC with Think-it

Data spaces are secure, federated data ecosystems that enable organizations to share and exchange data while maintaining control and sovereignty over their information. Easily build a Proof of Concept based on proven and certified components.

Summary

Fully functioning, IDS compliant data space:

  1. Connector provisioning and configuration
  2. Discovery service provisioning and configuration
  3. Identity Service provisioning and configuration
  4. Easy technical documentation

Deploy your data space in weeks

Custom tailored to your use-case and data needs, your data space will typically be deployed within 8-12 weeks. We'll make it easy and seamless for your concept to become reality, for technical and non-technical users.

What you'll get

Connector provisioning and configuration

Based on the Tractus-x EDC; an IDSA compliant connector which uses the Dataspace protocol to negotiate and transfer data from and to other connectors from different participants.

Discovery service provisioning and configuration

Identity Service provisioning and configuration

Technical documentation

What will we need from you?

In order to ensure success, we'll ask from you:

Dedicated Technical Point

Dedicated Technical Point

Each participant should have a technical lead for the data space.

Data to be shared

Data to be shared

An understanding of the types of data to be shared, and where to find it.

Test environment

Test environment

Based in Amazon EKS clusters

Why Think-it?

Data space pioneers
Pioneered the implementation of data spaces across industries, including Mobility Data Space, Catena-X, logistics, automotive, and scholarly publishing. Our experience ensures interoperability and adherence to industry standards.
Industry validated
We're the data space partner of choice for AWS and BMW. We're qualified consultants for Catena-X, as well as members of Architecture Committee for Catena-X.
Highest level of maturity
We write the source code for the EDC (most prolific open-source committers), so we’re always ahead of breaking changes. We also have a suite of low, mid, and high level open source components. Additional Kubernetes operator to orchestrate all open source components at scale.
Nothing hidden
No connector restrictions, no need to upgrade to a "premium" version. That means you get the same technology as enterprise innovators, but with a transparent usage model scaled for your needs.

Our experience building data spaces

Testominials

What our partners say

Bringing data spaces such as Catena-X or the Mobility Data Space to life is a highly innovative endeavour that brings a unique set of challenges with it. Partnering with Think-it allowed us to navigate complexity and set up the required technology in a very short time with great results, making BMW a technical frontrunner in data spaces. This has been truly pioneering work and we're looking forward to continue innovating together.
StefanProduct Owner, Catena-X Connector & GAIA X Lead Working
The partnership with Think-it has exceeded our expectations. Since the beginning, Think-it has been a critical implementation partner for Smart Freight Centre in the co-creation of the SFC Exchange Network. It was great to see our aspirations, to revolutionize decentralized data exchange for logistics decarbonization, come to a reality. Think-it has shown us genuine collaboration and leadership directly contributing to the success of our project.
RikDirector Sustainable Freight Buyers Alliance
We achieved everything we wanted to achieve with this initiative. The Think-it team has a real sense of ownership — their proactive communication and suggestions for improvement helped evolve our system to a production-state quickly. From both a technical and collaboration perspective, they showed they were really invested in bringing a superior system to life. Working with our Think-it team was a refreshing experience compared to other traditional service providers.
MartinProduct Owner, My BMW App

I'm ready to learn more

Reach out for a consultation. For more information on data spaces and their implementation, you can also check out our comprehensive guide on data space standards, best practices, and use cases across various industries.

Contact us

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