It is critical to provide a single point of truth to our users. The Intelligenthive Data-as-a-Service platform allows us to connect and combine information from multiple sources without worrying about technology.
Most organizations spend more time building their data platform than using it. The Intelligenthive® turns that around.
Within two weeks, you’ll have a fully managed, AI-powered data foundation built on Microsoft Fabric.
Live within two weeks
Get the most out of Microsoft Fabric
AI in every step of your data journey
Building less. Achieve more. We take all the complexity out of your hands, so you can focus on what data really delivers.
Organizations that choose the Intelligenthive® deliberately do not opt for a traditional implementation process. They choose a platform that is already ready: built on best practices, managed by specialists, and continuously kept up to date. While you deploy your data team on the things that really matter.
Built as a Fabric-native platform, Intelligenthive® complements Microsoft Fabric. Features that others leave on, we turn on and deploy optimally. Think of the Intelligenthive® as a thoughtful blueprint for your Microsoft Fabric setup built not on opinion, but on practical experience and manageability at scale.
This means you don’t pay for a Fabric license that is only half used, but for a platform that gets the most out of your investment. Now and in the future, because we process updates for you. This is very important in the cloud where new features are launched every week.
Traditional data implementations take months and deliver results late. Intelligenthive® is different: with our standardized approach and reusable platform, you’ll be live on Microsoft Fabric within two weeks, with a data foundation ready for AI, BI and everything in between.
Speed is not a promise. It is our standard operating procedure.
At the heart of the Intelligenthive® is Intelligentmodel: your business data model as the living foundation of the platform. We translate your business definitions, entities, relationships and business logic into a structured model that the entire organization understands.
The Intelligenthive® AI Agent uses all of this context, from source links and transformations to data products and conversations, to automatically build your data foundation and keep it current. Not a generic data model, but your organization in data.
No data team, a small data team or an advanced team: we offer the level of support appropriate to your data maturity.
Your data team works faster thanks to AI-generated mappings, notebooks and pipelines. With Intelligenthive®, we bring your data foundation to life so everyone understands it.
New Fabric version available? We implement the update, test the impact and make sure everything keeps working. Our DataOps Managed Services team monitors your platform 24/7 and catches anomalies before you notice them.
No internal team keeping track of Fabric releases. No technical debt accumulating. Just a platform that continues to perform while you focus on value creation.
Data governance is in every layer of the platform: from metadata and classifications to data lineage and Purview integration. Quality rules are automatically applied at every processing step. Data that does not comply goes into quarantine; your team receives a notification and can take targeted action.
This makes compliance not an after-the-fact project, but a standard part of how the platform works. Your privacy officer will thank you.
It is critical to provide a single point of truth to our users. The Intelligenthive Data-as-a-Service platform allows us to connect and combine information from multiple sources without worrying about technology.
Five Steps to Your AI Data Foundation
A proven approach that we repeat over and over again, with every client, in every industry.
Intelligenthive® is deployed in your Azure environment according to the Microsoft reference architecture. DTAP environments, workspaces, lakehouses and name conventions: everything is automatically created and configured.
We tune standards once and we need four hours from your IT department to get access. After two weeks, you’re live. Do you already have Microsoft Fabric? Then you can often skip this step or trade it in for a health check to make sure everything is set up properly.
We start with an intake to understand your organization, data sources and ambitions. Based on that, Intelligentmodel generates a first version of your business data model, as a starting point and not an end point.
You validate, we refine.
Through our 750+ connectors, we connect your source systems. From Exact, AFAS, SAP, Salesforce, or an internal system? No problem. The AI assistant generates the mappings; you review and publish.
Of course, we also set up data quality rules and ensure that privacy-sensitive data is anonymized.
We conduct joint quality and acceptance testing, so you can start with confidence. All pipelines are running, monitoring is on, and the first data products are available.
Depending on the complexity of your data landscape, this can often be done in as little as one to two months.
After go-live, our DataOps team takes over management. We monitor, update and expand based on your roadmap.
Whether you have your own data team that we support, or want to be completely unburdened: both are possible. You don’t even need more data engineers if you don’t want to.
In asset management, decisions on performance, risk, sustainability, and compliance all rely on one critical foundation: trusted data. With Beeminds’ Intelligenthive® on Microsoft Fabric, we are building an AI-driven data model with governance embedded from the start. The result is an AI-ready data foundation designed for our organization, our clients, and the long term.
Built to be trusted. No black box. An open, proven architecture.
Intelligenthive® is built on open standards and Microsoft reference architecture. Transparent, scalable and secure by design.
The Intelligenthive® processes data via the Medallion architecture: a proven standard for lakehouse environments. Raw source data enters via an ingest pipeline in the Bronze layer, unmodified and always traceable. In Silver, data is validated, standardized, enriched and transformed into your data foundation. The Gold layer delivers optimized data, ready for dashboards, models and AI agents.
This layered approach ensures that you can always go back to the source, while end users work with data that is validated and reliable.
Intelligenthive® processing power is built on Microsoft Fabric’s highly scalable Spark clusters. Notebooks are the primary processing unit: standardized, repeatable and designed to grow with your organization.
The more data you process, the clearer the benefit: Spark scales horizontally with you, so performance doesn’t become a bottleneck as your data volumes increase. We fully manage, optimize and maintain those notebooks. You reap the benefits without having to master the complexity.
Intelligenthive® continuously collects a rich layer of metadata about your data warehouse: business definitions, transformation logic, business rules, source links, data products: everything is documented and structurally available in Intelligenthive. This context is the fuel for intelligent automation.
To make the most of that context, we provide an AI Agent built into the platform. But we also understand that you don’t want to use that rich business context only inside Intelligenthive. That’s why all relevant context is available via an MCP Server, standard part of your Intelligenthive® service. That way, every AI tool or agent in your organization can draw from the same reliable data source, without creating another data silo.
Microsoft Fabric brings batch processing and real-time data together on a single platform for the first time. Intelligenthive® takes full advantage of techniques such as Fabric Mirroring, Open Mirroring and Microsoft Fabric Real-time Intelligence, making data available in your platform within seconds, sometimes hundreds of milliseconds.
With that, your data platform is increasingly becoming an integration platform as well. The line between data analytics and operational systems is blurring. Linking OT environments with ERP data from SAP? Merge sensor data from the production floor with real-time commercial CRM data? With the combination of Microsoft Fabric and the Intelligenthive®, it’s no longer an architectural challenge, but a configuration issue.
Based on your data model and domains, Intelligenthive® automatically creates the appropriate Fabric workspaces and lakehouses. Name conventions, permissions and links are managed centrally, keeping the platform uncluttered even as it grows.
DTAP environments (Develop, Test, Acceptance, Production) are included by default. So you’re always working on the right environment, with the right permissions.
Security is not an optional addition in the Intelligenthive®. It is a design principle. We apply the zero-trust access principle and deploy Entra ID as an IAM platform. Furthermore, there are five key pillars by which we further ensure data security:
The authorization matrix defines per user group who is allowed to see and use which data. Making you compliant with AVG requirements, ISO 27001 standards and internal governance, built in by default and no after work.
Words convince. So do images. A demo does the rest. View our interactive tour directly or schedule a live demo.
In a 45-minute demo, we’ll show you how Intelligenthive® works for an organization like yours. We show the portal, the AI assistants and how data products are compiled and published.
No generic product walkthrough. We tailor the demo to your industry, your data sources and your use cases. Given by experts who will answer your questions directly.
One version of the truth. Endless applications. A data foundation is not valuable until it is used. Intelligenthive® makes your data available for any type of application, from dashboards to AI agents.
Intelligenthive® supports all common types of data products. With the lakehouse architecture as the engine, your data is instantly usable in any environment: from Power BI to Python, from a REST API to an autonomous AI agent. One source of truth. Always consistent. Always up to date.
But technology alone is not enough. See how we help you get value from this in practice.
Power BI dashboards and operational reports on reliable, validated data. Self-service analytics for the business, with appropriate access rights automatically built in.
Train ML models on structured, well-documented datasets. Data scientists work directly at the Gold layer via Python notebooks or Azure ML, without having to clean up data first.
Build autonomous AI assistants that operate on your organizational data. From an internal knowledge assistant to an agent that generates reports or spots trends, the Intelligenthive® delivers the reliable foundation AI agents need.
The Intelligenthive® is not a starting point. It is a complete platform. Everything you need. Nothing you have to build yourself.
The Intelligent Model is the core of the platform and our approach. It translates your business definitions, entities, relationships and business logic into a living data model that the entire organization understands. You click or prompt it yourself, and because it is instantly visually insightful, your data housekeeping remains not something technical and abstract, but something that you can really showcase within your organization.
All AI within the Intelligenthive® platform uses this context continuously: for mappings, transformations, data products and governance. Context is not a nice-to-have; it is the engine.
From SAP, Salesforce and Dynamics 365 to Exact, AFAS, Numbers and dozens of other local Dutch applications: Intelligenthive® has more than 750 connectors at its disposal. To that end, we bring together connectors from Microsoft and strategic partners, supplemented by more than 100 proprietary connectors built by Beeminds itself, specifically for the systems our customers use every day.
Is your system not listed? Then we will add a custom connector. So far there has not been a data source that we have not been able to unlock. Feel free to challenge us!
The AI assistant in the Intelligenthive® analyzes your sources, your data model and the relationships between them. Based on that, it generates transformation code, notebooks and mappings that you can immediately review and publish. You validate; the platform does the heavy lifting. Data mapping goes up to 70% faster as a result.
Microsoft Fabric can handle massive data volumes, but only if the platform is set up the right way. Intelligenthive® has built a “Datamovement” layer designed for enterprise-scale: billions of rows per processing, compatible with virtually any data source.
The details that other platforms complicate, we take care of by default:
You configure this easily through the Intelligenthive® interface. The complexity is under the hood, not on your plate.
A good star schema is the foundation of any reliable Power BI report. But building them manually takes data engineers hours, sometimes days. Intelligenthive® generates star schemas automatically, based on your Intelligenthive model and its business context.
The AI uses all available context: data products, business definitions, relationships and business logic, to not only generate the structure, but also translate the measures and calculations into the appropriate semantic layer.
The result: Power BI reports that are right, perform and consistent. No more “multiple versions of the truth. No discussions about which definition is correct. One model, understood by all.
Metadata, classifications, naming conventions, data lineage and access management are not a loose shell over the platform; they are woven into every layer, fully integrated with Microsoft Purview. Governance at the Intelligenthive® is not a loose path after the fact, but part of the platform from the beginning.
Every data source you connect starts with registration in Purview. That’s not an extra step; it’s standard operating procedure. Which puts you in control from day one about what happens to your data, who has access to it and how it moves through the platform.
Bad data quality is annoying. Bad data quality that is only discovered in a report from the CFO is worse. Intelligenthive® prevents the second scenario.
Define quality rules yourself, or let AI generate suggestions based on data profiles. At each processing step, the data is automatically reviewed. Does it not comply? Then it goes into quarantine and is notified before it reaches end users.
The platform uses an open-source data quality framework with more than 250 built-in checks. Need a check specific to your data or business rules? Add that as a custom data quality check directly from the Intelligenthive. The DataOps dashboard lets you track quality trends by domain in real time, so you can see signals coming before they become problems.
Intelligenthive® automatically scans your data sources for sensitive information: from BSN numbers and e-mail addresses to financial data. Based on those AI-driven classifications, supplemented by the classifications from Microsoft Purview, you determine what to do for each category: anonymize, pseudonymize or shield.
Once you have determined how sensitive data should be handled? Then the pipelines apply that automatically, at every processing, at every layer, no matter where the data flows. Your privacy officer knows exactly what happens to which data. And you don’t have to get involved manually anymore.
Security is in every part of the platform, not as an afterthought but as a design principle. Access to Microsoft Fabric workspaces is managed based on the least-privilege principle: each user or service has access only to what is strictly necessary, no more. At the same time, as a platform owner, you always remain in control of who has access to what data.
Separate sensitive domains? Think of HR data that is processed completely separately from commercial data. We arrange row-level security and column-level security as standard, tailored to your authorization matrix.
Beeminds’ Intelligenthive® service is ISO 27001-certified. This means that information security is not a one-time project, but a continuous controlled process, for our own organization as well as for the environments we manage at customers.
Each pipeline in the Intelligenthive® fires event-driven signals that are processed in real time. Via a Power BI dashboard, available directly in the Intelligenthive portal. There you can see the status of all processing at a glance. Something goes wrong? You automatically receive a notification, optionally linked to your own ticketing system via Azure Monitor. But monitoring with the Intelligenthive® doesn’t stop at ‘is it still working’.
Our managed services team continuously monitors three layers:
So that your platform not only runs, but keeps running efficiently and securely.
Our DataOps Managed Services team is your backbone. When a pipeline fails or data no longer meets quality requirements, we get to work. And we don’t stop until the data is current and reliable again. If the situation calls for it, we do this 24/7.
In doing so, you rely on a platform used by dozens of organizations simultaneously. That means that every incident, edge case and scenario that others have already encountered has already been solved with us. You benefit from a foundation that is constantly strengthened, not only by what you use, but by what the entire community contributes.
In larger organizations, a release to production is rarely a simple step. Feature branches, shared datasets, multiple teams working in parallel: the potential for conflicts, errors or uncontrolled changes is real.
Intelligenthive® has a standardized deployment approach that makes this complexity manageable. From the platform you control advanced deployment pipelines based on proven best practices: branches, versioning, controlled releases to DTAP environments. Allowing teams to move faster, without compromising the production environment.
Innovation requires room to experiment. But uncontrolled experimentation in a data platform quickly leads to high cloud costs, data contamination or security risks.
Intelligenthive® makes the distinction between sandbox and production explicit and manageable. You can specify for each data entity or data product whether it is an experimental object or a certified master data object. Personal workspaces are created for individual experiments, isolated, with controlled access to production data and a clear cost framework.
This is how you encourage a data-driven culture of trial and error and learning, without sacrificing stability, governance or budget.
The Intelligenthive® is not for one type of organization. We work with medium and large organizations in a variety of sectors: from food production and retail to healthcare, non-profit and financial services. What they have in common? They want to get more out of their data and have ambitions greater than what their own data team can handle. And they want it now, not a year and a half from now.
Your data engineers and analysts want to be more productive. Intelligenthive® gives them powerful tools, AI support and a standardized platform so they can focus on impact, not infrastructure.
Read the stories of our customers accelerating their data journey with the Intelligenthive®.
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 Netherlands is taking the next step in digital transformation and data maturity.
With the Intelligenthive, we modernized the data platform, professionalized data management and made SportCity move to data-driven work.
No long lead time. No complex pre-sales process. Just a conversation and then get to work
We get to know your organization and showcase the platform.
What is the use case, what does the data model look like and what are the initial data sources? And what is your goal? Do you want to get started right away or a Proof of Value first? We tailor the offer to your needs and how fast you want to go.
Intelligenthive® is set up in your own Azure environment. This way we avoid lock-in and give you maximum control.
Depending on the use case, you can often go live with the first use cases within a few months after that.
Our DataOps team monitors your environment and pipelines. Or you do it yourself using the Intelligenthive. What will be the next use case the business wants to work with?
The most frequently asked questions from organizations looking to get started with the Intelligenthive®.
Intelligenthive® is a service you purchase from Beeminds. You get access to a fully configured platform running in your own Azure environment, purchased as a SaaS service. We onboard you in two weeks, after which our team takes care of management. It’s not a traditional deployment project; it’s a reusable platform with managed services around it, giving you lower up-front investments.
No. We roll out Fabric as part of the onboarding process. Do you already have a Fabric environment? Then we connect to what’s there and optimize it further.
Yes, absolutely. We guide you through a proven migration approach where smart AI assistants take over the heavy lifting. From analyzing existing data models to automatically translating legacy SQL. The focus is not on technology for technology’s sake, but on what it delivers: faster insights, lower management burdens and an AI foundation that is ready for the future. Whether you’re coming from an on-premise warehouse, Synapse or another platform, together we’ll make sure you transition to Microsoft Fabric without major risks and while maintaining business continuity.
The Intelligenthive® has more than 750 connectors. Chances are that we already support your source systems, including local Dutch applications such as Exact, AFAS and Numbers. If a connector is missing, we will build it. Your existing data remains intact; we copy and transform, we do not replace.
Yes, always. Intelligenthive® runs entirely in your own Azure tenant, within the EU. Data never leaves your environment. That guarantees data sovereignty and meets AVG requirements.
All configurations, pipelines and transformations run in your own Azure environment. There is no vendor lock-in on your data or your code. You can always move forward, even without us.
Not necessarily. If you have an in-house data team, Intelligenthive® supports them with AI tooling and a standardized platform. Don’t have data engineers? Then our DataOps Managed Services team will take care of everything for you. Completely unburdened, without your own technical staff.
A standard Fabric implementation gives you a blank canvas. The Intelligenthive® gives you a complete platform: IntelligentModel as your business foundation, AI-driven automation, built-in governance, data quality, 750+ connectors and 24/7 management. You don’t start from scratch; you start ready.
We work with organizations in diverse industries: food industry, retail, healthcare, non-profit, business services and sports. The platform is sector-independent; IntelligentModel adapts to your business context. Get in touch and we’ll discuss what’s possible for your organization.
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