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Your data. Your AI. Beeminds will help you get to the Intelligenthive®, the AI data platform on Microsoft Fabric, within weeks.

Do you recognize this?

Many organizations run into the same things when it comes to data and AI. There are plans and ambitions, but in practice it remains difficult to really take steps. Data is scattered, insights come too late and AI remains stuck in pilots. Do you recognize this?

No one knows which numbers to trust

Your CRM says A, your ERP says B, and Excel says C. Without one source of truth, you keep comparing instead of deciding, and every meeting takes a discussion about which report or dashboard is correct now.

Your data warehouse is slowing you down instead of helping you

Monthly closings take days of copy-paste and checking. The data warehouse underneath? Expensive, rigid and not future-ready.

Your data ambition is growing faster than your team can keep up

The requirements pile up, the backlog grows, and your team is constantly putting out fires. Everything custom, everything yourself, everything again. Inventing the wheel yourself is no longer an option. You need a platform that takes over the heavy lifting and supports you toward intelligence.

Governance is on paper, not in practice

You know you have to do something with data quality and ownership. But it sticks to good intentions and a dusty policy document.

AI gets stuck in pilots that land nowhere

Everyone wants “something with AI.” But without a solid AI data foundation, no initiative gets past the prototype stage.

What convinced me was that Beeminds not only builds a platform, but also helps have the right conversations, tactically, strategically and operationally. That aligns with what our organization needs.

profielfoto man

Pascal Blom

Director Tech & Data at UNICEF Netherlands

What we do

We support and accelerate you with Data & AI services and solutions throughout the data journey.

AI Data Platform

Intelligenthive® is the Microsoft Fabric-based solution that removes complexity so you make more impact faster with data & AI.

Solutions

Not looking for technology, but for a solution? We provide instantly deployable data & AI solutions such as dashboards and AI Agents.

Consultancy

From data strategy to delivery of data products. Direct support for all your data & AI challenges, by our consultants, architects and engineers.

A data & AI foundation as the foundation

With Intelligenthive®, our data platform, you work from one modern data platform and your own AI Data Assistant. This brings together data for your organization from multiple sources into one truth. So you can get straight to work with reports, dashboards and AI applications. Just as it should be.

70

less effort for your data team

24/7

monitoring and surveillance by our DataOps team

1,9 bln.

data rows in 1 table processed without problem

100

runs entirely in your own cloud environment, with sovereign data encryption

750

connectors, such as Exact, AFAS and SAP

1sec

latency for landing data from your OT environment

Where we make impact in practice

Proud of the impact we make with our clients. Discover how we solve data & AI challenges on the ground along with leading organizations.

See all cases
lachend jongetje en andere kinderen achter hem op kinderdagveblijf

From separate reports to one reliable data platform for 16 child care organizations

In five years, Samenwerkende Kinderopvang has grown into a bundle of 16 childcare organizations throughout the Netherlands. Each of these organizations had its own reporting system. A solid foundation for all data became a must-have.

UNICEF is building safe deployment of AI with the Intelligenthive®.

UNICEF Netherlands is taking the next step in digital transformation and data maturity.

SportCity transforms to a data-driven organization

With the Intelligenthive, we modernized the data platform, professionalized data management and made SportCity move to data-driven work.

Municipality of Delft and Beeminds achieve successful GMM implementation on Microsoft Azure

The Municipal Data Model (GMM) is a model that provides a solid foundation for information-driven operations.

GenAI helps manufacturing industry combine CSRD and Cradle to Cradle framework

How do you ensure that existing sustainability standards, such as Cradle to Cradle®, align with the expanded ESRS requirements?

How we work

At Beeminds, we work in clear steps to start small and scale up in a focused way. This way, we make data and AI initiatives concrete quickly, validate what works early, and only build on solutions that deliver real value. Where possible, we use existing data products to get results faster.

With this approach, you avoid long trajectories with lots of promises and few tangible results. We start small, validate quickly and scale up only what works from your data foundation, so you get value from data and AI faster, with less risk and more control.

 

Onboarding & Design Sprint

In the Onboarding & Design Sprint we bring business goals, processes, data sources and user needs into sharp focus and roll out the Intelligenthive service within your Microsoft cloud. Together we determine which use case has the most impact, what is needed to get started quickly and how the solution fits within your organization, architecture and governance.

Activities

  • Intake with business and IT
  • Rollout of the Intelligenthive based on Microsoft Fabric
  • Analysis of processes, bottlenecks and information needs
  • Selection and delineation of the most promising use case
  • Inventory of data sources, dependencies and boundary conditions
  • Establishing success criteria, scope and roadmap

 

Result

  • Operational AI data platform based on Microsoft Fabric, including permissions
  • A validated use case with clear business value
  • Clear scope and priorities
  • A solution direction that is technically and organizationally feasible
  • A concrete plan for the prototype phase

 

Watch the demo

Prototyping

In the prototyping phase, we make the solution tangible. We build a working data product or minimum viable product with which users can directly see, test and experience how the solution works in practice. In this way, we quickly gather feedback and test whether the chosen approach really adds value.

Activities

  • Linking key data sources
  • Setting up initial data model and logic
  • Building a prototype, dashboard, agent or workflow
  • Testing with end users and stakeholders
  • Processing feedback and honing functionality

 

Result

  • A working data product that makes the use case visible
  • Understanding technical feasibility and user value
  • Rapid validation of assumptions
  • A clear go/no-go basis for further rollout

Launching and scaling

When the prototype works and proves value, we scale up to a robust solution ready for daily use. We set up the solution for performance, management, governance and adoption so that it not only works smart, but is also sustainably deployable within the organization.

Activities

  • Further development to production-ready solution
  • Setting up scalable data pipelines and architecture
  • Securing security, authorizations and governance
  • Setting up monitoring, management and quality controls
  • User guidance, transfer and adoption support

 

Result

  • A scalable and manageable AI data foundation to support the business
  • Reliable dashboards, data products or AI agents
  • More speed, less manual work and better decision making
  • A solid foundation to build on
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Discuss opportunities with Laurens, Founder of Beeminds

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