# Data Platforms [Data Platforms](https://iits-consulting.de/en/services/ai-machine-learning/data-platforms) ## Data Platforms The data foundation your AI stands on, built from our digital-twin reference architecture and proven in production. One principle runs through all of it: no service ever touches another's database. That is what keeps a platform clean enough to build on for years. [Get in touch](https://iits-consulting.de/en/contact/index.md) [Free AI Discovery Workshop](https://iits-consulting.de/en/ai-discovery-workshop/index.md) Our Technology Partners ## TRUSTED BY TEAMS AT: Deutsche Telekom Uniper GOLDBECK PwC Vattenfall Schwarz Gruppe Cornelsen Meridiam ## What exactly is a Data Platform? Most AI projects fail on the data long before the model. A data platform is the foundation that stops that happening: it moves, stores, and serves your data cleanly enough that AI can actually be built on top. Here's how the pieces fit together: an event broker distributes events by intent, an archiver writes the stream into data-lake storage that data scientists and model training read from, and AI services for anomaly, theft, and predictive-maintenance detection run alongside the business services. One principle holds throughout: services never share databases, and the frontends talk over GraphQL, WebSockets, and REST. ### Lakehouse architecture We design and build a lakehouse as a single, open data foundation, scalable for both analytics and AI, and free of data silos. ### Event broker & archiving An event broker distributes events by intent, and anything that doesn't get through lands in a dead-letter queue. An archiver writes the stream into data-lake storage, ready for data scientists and model training to read from. ### AI services on the event stream Detection services for anomalies, theft, and upcoming maintenance run on the same platform, hanging off the same event stream as the business services, with no second data store to keep in sync. ## Benefits of an iits AI Team AI is only worth it once it's doing real work, safely, inside the systems you already run. Here's what you get when you build it with us. ### Insights from academia and industry Joint research with TU Dortmund and Fraunhofer IML, with delivered work behind it. ### Understanding, not voodoo We take you to the right solution step by step, with nothing left to magic. ### Fits your cloud Robust, lasting solutions that slot into the cloud infrastructure you already run. ### You stay in control Modern interfaces give you a clear view of what the AI is doing, and the controls to steer it. ### Transparent metrics Honest numbers on how our models perform, so nothing is taken on faith. [Send Inquiry](https://iits-consulting.de/en/contact/index.md) ## How the data foundation is built ### Surveying the data We map what data you have, where it comes from, and where the silos and breaks sit today. Step 01 ### Setting the architecture We design the lakehouse, the event stream, and the interfaces, around one principle: no service touches another's database. Step 02 ### Building the pipelines Collection, cleansing, and versioning run repeatably, with tests and monitoring, so silent data errors never first surface in the model. Step 03 ### Operating and extending The platform goes live, and new AI services hang off the same event stream, with no second data store to maintain. Step 04 ## Our Work [Fibre Rollout Contract Management for Broadband Services](https://iits-consulting.de/en/portfolio/fibre-rollout-contract-management-for-broadband-services/index.md) The development of a central, audit-proof contract management system for fibre rollout, including transparent document storage, deadline tracking and a KPI dashboard. [Web-Based Order Management for Construction Sites](https://iits-consulting.de/en/portfolio/web-based-order-management-for-construction-sites/index.md) The transformation of an old desktop application into a web-based construction order management system, including functional enhancements. [View all](https://iits-consulting.de/en/our-work/index.md) ## Areas we support in A solid data platform pays off wherever data is scattered, high-volume, or has to feed AI. Here are a few areas where we build them. ### Energy & Utilities Real-time platforms that bring sensor and grid data together for analytics and AI. ### Telecommunications Platforms that handle network and operational data at scale, without silos. ### Manufacturing & Logistics Event-driven platforms that turn shop-floor and supply-chain data into something you can act on. ### Finance & Insurance Governed, auditable data foundations for reporting, risk, and AI. In addition to the breadth of iits’ expertise—ranging from DevOps, microservices, the Internet of Things, and front-end development to machine learning and optimization—we were particularly impressed by the way they collaborated on such a rapidly evolving and innovative topic. In addition to their technical expertise, the iits team members were able to actively engage in technical discussions in a very pleasant manner, helping to shape them from an application perspective and providing important insights. Stefan Sonderfeld Head of Sales & Trading IT Uniper IT GmbH ## What we build with. The stack these systems run on with us. STORAGE & PROCESSING - Lakehouse - PostgreSQL - Apache Spark EVENTS & INTERFACES - Event broker - Dead letter queues - GraphQL - WebSockets - REST PIPELINES & GOVERNANCE - Airflow - dbt - Data Lineage OPERATIONS - Kubernetes - S3-compatible ## Let's talk about your data. Start with a no-obligation project inquiry and let our team of experts in agile development and architecture provide you with comprehensive advice on your project. [Get in touch](https://iits-consulting.de/en/contact/index.md) [See our work](https://iits-consulting.de/en/our-work/index.md) AVG. RESPONSE \< 1 BUSINESS DAY