Scieneers
scieneers is a German data science, data engineering, and BI consulting firm with ~55 employees across four offices. It delivers end-to-end analytics and AI projects (LLMs, RAG, MLOps, forecasting) primarily to enterprise customers in energy, manufacturing, and retail.
- Company typePrivate
- Founded2020
- HeadquartersKarlsruhe, Germany
- Headcount11–50
- GTM typeB2B
- OfferingServices
What Scieneers does
scieneers GmbH is a privately-held German data science, data engineering, and business intelligence consulting firm founded in 2020 and headquartered in Karlsruhe. The company delivers end-to-end data products through a proprietary four-phase methodology (DREAM-DERIVE-DEVELOP-DEPLOY), covering strategy workshops, data modeling, implementation, and operational deployment. It employs approximately 55 people across four German offices (Karlsruhe, Köln, Hamburg, München) and serves enterprise customers through project-based consulting engagements.
The firm's technology stack spans classical data science (ML, deep learning, time-series forecasting including Temporal Fusion Transformers), generative AI (LLMs, advanced RAG, multi-agent systems via LangGraph and AutoGen), MLOps, and enterprise BI on the Microsoft stack (Power BI, Microsoft Fabric, Azure). It holds Microsoft Solutions Partner for Data & AI status and is a Microsoft Fabric Featured Partner, complemented by Google Cloud and Intel AI Specialist Gold partnerships. Reusable IP includes the MIP-Power BI Connector (with MPDV), privacy-compliant enterprise LLM platforms (rwthGPT with RWTH Aachen, NextGeneration:AI with Carl Remigius Fresenius Education Group), and the DesinfoNavigator disinformation-detection tool.
Scieneers operates a sales-led, project-based professional services model with no publicly disclosed pricing. Revenue derives from consulting engagements, workshops (Power BI Training, Microsoft Data Strategy Assessment, Azure Data Platform POC, Microsoft Fabric workshops), and managed deployments. Anchor verticals are energy (RWE, EnBW, Iqony, Steag, Electrochaea), manufacturing (Daimler Truck, SCHOTT, Kendrion), healthcare/biotech (CENTOGENE), retail (Otto Group, SuperBioMarkt, DM), and emerging public sector/education engagements. Workshops double as demand generation, feeding larger consulting engagements. Ownership is founder/management-led; no external venture funding has been disclosed.
Scieneers firmographics
Firmographics- Name
- Scieneers
- Legal name
- scieneers GmbH
- Website
- https://scieneers.de
- Company type
- Private
- Founded year
- 2020
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- scieneers is a German data science, data engineering, and BI consulting firm with ~55 employees across four offices. It delivers end-to-end analytics and AI projects (LLMs, RAG, MLOps, forecasting) primarily to enterprise customers in energy, manufacturing, and retail.
- Ownership category
- akta.pro rank
Where Scieneers is headquartered
LocationHeadquarters
- HQ city
- Karlsruhe
- HQ country
- Germany
- HQ region
- Europe
Offices4 records
Markets served
Scieneers business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Operations, Infrastructure
Revenue model
- Consulting Services: Project-based data science, data engineering, and BI consulting delivered by specialized consultants. Projects span from strategy workshops through implementation and operational support.
Go-to-market motion1 record
Distribution channels1 record
Marketing channels4 records
Scieneers product offering
Product offeringCore offering
Scieneers delivers project-based consulting services in data science, data engineering, and business intelligence to enterprise clients across Germany. The company applies a proprietary DREAM-DERIVE-DEVELOP-DEPLOY methodology to build, deploy, and operate scalable data products, with specific solutions for generative AI/chat with enterprise data, MLOps, Power BI reporting, Microsoft Fabric data platforms, and AI applications for the energy sector.
Product overview
Scieneers is a data science, data engineering, and business intelligence consulting company that operates as a services firm rather than a software product vendor. Their offerings span end-to-end Analytics in Production (Dream-Derive-Develop-Deploy methodology), Generative AI/Chat with your Data for enterprise knowledge management, MLOps services, Business Intelligence using Microsoft Power BI, Data Platforms (Data Engineering, ETL, Streaming), Data Product Ownership consulting, and specialized AI for the energy sector. They provide workshops and trainings for Power BI and Data Science. They have also developed several proprietary solutions including the MIP-Power BI Connector for MPDV integration, DesinfoNavigator for disinformation detection, and privacy-compliant LLM platforms (rwthGPT with RWTH Aachen, NextGeneration:AI with CRFE). Their work incorporates LLMs, RAG systems, Computer Vision, and Deep Reinforcement Learning for specialized optimization problems.
Differentiator
Problem solved
Functional benefit
Products and services
- Analytics in Production End-to-end data analytics service from consulting through deployment, encompassing Machine Learning, Deep Learning, Computer Vision, and Forecasting to generate economic value from data. Targets enterprise clients seeking to operationalize analytics.
- Generative AI / Chat with your Data Interactive and privacy-compliant enterprise knowledge chatbot using LLMs, Advanced RAG, and LLM Agents for accessing company information via SharePoint, OneDrive, and other enterprise data sources. Targets enterprises deploying generative AI on proprietary data.
- MLOps Services Infrastructure as Code, monitoring, tracing, and CI/CD pipelines for robust and scalable machine learning operations in production. Targets enterprises operationalizing ML workloads.
- Business Intelligence Dashboards, reporting, self-service analytics, data modeling, and data warehouses using Microsoft Power BI and the Microsoft Data Platform. Targets enterprises needing enterprise-wide BI and reporting solutions.
- Data Platforms Data engineering, integration, ETL, and streaming services for building scalable data pipelines in cloud or on-premise environments using Microsoft Azure, Microsoft Fabric, AWS Glue, and Databricks. Targets enterprises needing scalable data infrastructure.
- Data Product Ownership Data product coaching, consulting, and as-a-Service support for developing and operating sustainable data products. Targets organizations establishing data product management practices.
- KI für die Energiewirtschaft (AI for Energy Sector) Specialized AI solutions for the energy industry including text analysis, anomaly detection on wind turbines, heat demand forecasting, and predictive maintenance for renewable energy assets. Targets energy companies focused on renewable energy, district heating, and power generation.
- Große Sprachmodelle (Large Language Models) LLM-based solutions including RAG systems, chatbots, and enterprise knowledge management applications. Targets organizations implementing privacy-compliant generative AI.
- Azure über CSP (Azure via CSP) Azure cloud procurement and management services through the Cloud Solution Provider (CSP) program. Targets enterprises seeking managed Azure procurement alongside implementation services.
- Microsoft Fabric Data Platforms Data platform implementation using Microsoft Fabric for unified data integration, streaming, and analytics. Targets enterprises adopting the Microsoft Fabric unified analytics platform.
- Workshops and Trainings (Power BI, Data Science, Microsoft Data Strategy Assessment, Azure Data Platform PoC, Microsoft Fabric, Advanced Security) Structured training programs and workshops covering Power BI, Data Science, Microsoft Data Strategy & Analytics Assessment, Azure Data Platform Proof of Concept, Microsoft Fabric Bring Your Own Data, and Azure security. Targets enterprise teams needing enablement and capability building.
- MIP-Power BI Connector Connector that enables fast reporting and dashboards on shopfloor data in Power BI from MPDV's MIP smart factory platform. Targets manufacturing customers using the MPDV MIP platform.
- DesinfoNavigator Online tool using the PLURV framework and LLMs to identify misleading rhetorical strategies in disinformation and generate verification instructions. Targets media literacy, journalism, and public-interest users.
- ChatGPT-Lösung für Unternehmenswissen Modular enterprise knowledge chatbot with SharePoint and OneDrive integration, personalized budget management, secure authentication, customizable UI, and feedback mechanisms. Targets enterprises deploying internal ChatGPT-style assistants.
- rwthGPT Privacy-compliant platform for OpenAI models developed with RWTH Aachen University, featuring user management, cost allocation, chat history, and Talk to your Data capabilities. Targets universities and research institutions needing compliant LLM access.
- NextGeneration:AI Privacy-compliant LLM platform for the Carl Remigius Fresenius Education Group with LTI authentication via Ilias LMS. Targets educational institutions deploying compliant AI assistants for students and staff.
- Moodle Chatbot AI chatbot integrated with Moodle LMS for accessing lecture content with source citations. Targets universities and educational institutions using Moodle.
Quantifiable outcome
- ETL load times reduced from several days to a few hours on AWS
- +1 more outcomes
Companies that use Scieneers
Customer profileNamed customers19 records
Segments6 records
Ideal customer profiles4 records
Scieneers technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration6 records
AI capability15 records
Feature5 records
Scieneers partnerships and signals
Strategic signalPartnerships
13 partnerships are on record, tiered strategic, core and minor.
- MPDVstrategicPartnership to complement MPDV's smart factory platform MIP with Power BI reporting solutions and expertise. Developed MIP-Power BI Connector for shopfloor data visualization.
- MicrosoftcoreMicrosoft Solutions Partner for Data & AI (Azure) Specialist Analytics, Microsoft Fabric Featured Partner. Deep partnership involving Azure Data Platform, Microsoft Fabric implementations, and Power BI solutions.
- Google CloudcoreGoogle Cloud Partner status. Collaborations on Vertex AI Matching Engine and embedding models for enterprise clients like Otto Group.
- Intel CorporationcoreIntel AI Specialist Partner (Gold). Collaboration on AI optimization using Intel AI Analytics Toolkit and 4th Generation Intel Xeon Scalable Processors. Achieved up to 9.3X speedup for recommendation engines.
- KI Bundesverband (German AI Association)minorMember of the German AI Association for industry collaboration and policy engagement in AI sector.
- IVU Traffic Technologies AGstrategicCollaborated on Proof of Concept for Deep Reinforcement Learning to optimize tram depot disposition. IVU provides traffic management software while scieneers provides ML/AI expertise.
- RWTH Aachen UniversitystrategicDeveloped rwthGPT - a privacy-compliant platform for OpenAI models for students and staff. Also developed Moodle chatbot for lecture content access.
- Carl Remigius Fresenius Education GroupstrategicDeveloped NextGeneration:AI - a privacy-compliant LLM platform for all students and staff using LTI interface authentication via Learning Management System Ilias.
- Otto Group (via data.works GmbH)strategicUsed LLM embedding models with Google Cloud Vertex AI Matching Engine to transfer product recommendations across multiple online shops with different catalogs.
- BertelsmannstrategicCollaborated on Multi-Agent LLM project presented at Data2Day conference.
- CorrelAidminorNon-profit data science network for social impact projects. Scieneers participates in pro-bono projects through this network.
- DataKindminorGlobal pro-bono data science organization. Completed data quality monitoring project for Lwala Community Alliance in Kenya.
- Civic Coding AcceleratorminorAccelerator program for AI for social good. Presented StaatKlar LLM project at Digital-Gipfel 2024.
Scale indicators2 records
Recent moves6 records
Expansion highlights5 records
Scieneers competitors and assessment
Company assessmentBroad incumbents
- Accenture Applied Intelligence: Global SI with a large-scale data and AI consulting practice that competes for the same DAX-level enterprise analytics and AI transformation budgets as Scieneers, but offers a much broader service portfolio and global delivery.
- Capgemini Engineering / Insights & Data: Global SI with a dedicated data/AI practice and strong manufacturing and energy-industry presence, overlapping with Scieneers' key verticals (EnBW, RWE, Daimler Truck ecosystem) but with global delivery and a much larger talent base.
- IBM Consulting (Data & AI): Global consulting arm of IBM offering data engineering, AI, and watsonx-based services; competes with Scieneers for enterprise AI and generative AI transformation work, particularly with large industrial and energy-sector clients.
- Deloitte Analytics & AI: Big Four advisory with extensive analytics, BI (Power BI), and AI transformation offerings; competes for enterprise data strategy and Fabric/Microsoft engagements but at a far larger scale and broader scope.
Emerging players
- Datadrivers: German data engineering and cloud data platform consultancy; smaller and more specialized than Scieneers but operating in the same Microsoft Fabric / Azure data platform ecosystem and serving a similar DACH enterprise customer base.
Direct peers
- Alexander Thamm: Munich-based data science and AI consultancy founded in 2012 with a similar DACH focus, comparable service portfolio (data strategy, ML engineering, MLOps), and overlapping enterprise customers. It is the closest head-to-head competitor in the German advanced-analytics consulting market.
- codecentric: German software and data consultancy with deep expertise in data engineering, cloud-native development, and AI/ML; comparable delivery model, similar customer base in DACH enterprise, and overlapping Microsoft partnership profile.
- Statworx: Frankfurt-based data science, AI, and MLOps consultancy with an academic-research orientation very similar to Scieneers; competes directly for data scientist talent and enterprise AI engagements in the DACH region.
- inovex: Karlsruhe-headquartered IT consultancy with strong data engineering, cloud, and AI/ML practices; overlapping geography (Karlsruhe, Cologne, Munich) and a comparable mix of Microsoft Azure–led enterprise projects.
Regional players
- MHP (a Porsche company): Management and IT consultancy focused on automotive and manufacturing, with a growing data/AI practice that overlaps Scieneers' manufacturing and automotive (e.g., Daimler Truck) customer segments in Germany.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights7 records
Customer concentration
Scieneers social profiles
Digital presenceScieneers financial estimates
Financial estimateRevenue estimate
Valuation estimate
Scieneers leadership team
Management profileNumber of profiles
Profiles3 records
Scieneers funding detail
Funding detailFunding overview
Funding rounds
Investors
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Scieneers M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Scieneers
What does Scieneers do?
Scieneers delivers project-based consulting services in data science, data engineering, and business intelligence to enterprise clients across Germany. The company applies a proprietary DREAM-DERIVE-DEVELOP-DEPLOY methodology to build, deploy, and operate scalable data products, with specific solutions for generative AI/chat with enterprise data, MLOps, Power BI reporting, Microsoft Fabric data platforms, and AI applications for the energy sector.
Is Scieneers a public or private company?
Scieneers is a private company. It is classified as founder individual operated bootstrapped and is currently operating.
When was Scieneers founded?
Scieneers was founded in 2020. It employs 11 to 50 people.
Where is Scieneers based?
Scieneers is headquartered in Karlsruhe, Germany, in the Europe region.
How does Scieneers make money?
One revenue line is on record: consulting Services.
Who are Scieneers's main competitors?
Broad incumbents on record are Accenture Applied Intelligence, Capgemini Engineering / Insights & Data, IBM Consulting (Data & AI) and Deloitte Analytics & AI. Datadrivers is listed as an emerging player. Direct peers are Alexander Thamm, codecentric, Statworx and inovex. MHP (a Porsche company) is listed as a regional player.
Does Scieneers have an API?
No public API is recorded for Scieneers.