OUR COMPETENCIES


Our root: business intelligence
With data-related initiatives across the full data value chain, we generate business value for our clients and increase data-maturity across their organizations
Including
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Data Engineering (Scalable infrastructure, modern data warehouses, and seamless integrations from all your sources)
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Analytics Engineering (Cleaning, transforming, and modeling data so it’s ready for decision-making)
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Data Analytics (Creating insights that drive action by uncovering trends, answering key business questions, and delivering dashboards that empower teams)



Our Artificial Intelligence team
Whether through AI, Data Science, or Machine Learning, we deliver tailor-made solutions to solve real business challenges:
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AI-Powered Insights (Make decisions faster with self-service BI assistants)
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Workflow Automation (AI co-pilots and tools that boost productivity)
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Customer Intelligence (Predict, segment, understand)
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Forecasting (From demand to churn to revenue, anticipate trends and act proactively)
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Marketing Analytics (Marginal CAC, A/B Testing)
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Pricing Optimization (Optimize margins without losing demand)
WE DON'T JUST CONSULT - WE DELIVER: WE MAKE SURE OUR INITIATIVES GENERATE A POSITIVE ROI FOR YOU
TRUSTED BY
OUR PROCESS
Discover how we work

1
DISCOVERY CALL
TIMEFRAME: 30-60 MINUTES
CONTENT
In an initial 30- to 60-minute conversation, we establish a shared understanding of your business model and current technology landscape. This call is focused on identifying key challenges and discussing potential solution approaches to ensure we address your most pressing needs from the start. We recommend the tools that fit best to your case and only propose solutions that generate a positive Return on Investment for you.
→ BOOK YOUR FREE DISCOVERY CALL NOW

2
DEEP-DIVE CALL / WORKSHOP
TIMEFRAME: 1-4 HOURS
CONTENT
Based on your specific needs, we conduct a deep-dive call or customized workshop to gain a more detailed understanding of your challenges and begin scoping an initial project. These sessions are tailored to address the pain points identified in the Discovery Call and may include formats such as a Data Audit or Data Roadmapping. Depending on the scope, this typically takes between 1 to 4 hours.

3
INITIAL PROJECT
TIMEFRAME: TYPICALLY 10-30 DAYS OF WORK OVER A PERIOD OF 6-12 WEEKS
CONTENT
If there is a mutual fit, we begin with a Proof of Concept project designed around 1 to 3 clearly defined milestones. Typical examples include building a holistic management dashboard with the most important KPIs or developing a machine learning model. These initial projects usually involve 10 to 30 days of work, spread over a period of 6 to 12 weeks, allowing us to deliver tangible results while ensuring close collaboration.

4
PARTNERSHIP
TIMEFRAME: TYPICALLY 6-16 DAYS OF WORK PER MONTH
CONTENT
Following a successful initial project, we often continue the collaboration through follow-up projects and milestones. This can also take the form of a monthly retainer to work on ongoing initiatives, handle ad-hoc requests, and provide maintenance support. Over time, the focus often shifts towards maintenance or supporting the internalization of your data capabilities — including assistance with hiring and onboarding your own data team. Our typical engagement at this stage involves 6 to 12 days of work per month.

ABOUT GEMMA, ABOUT US

20
Gemmpions
70+
Successful projects
2020
Founding year
Berlin
Headquarter
10
weeks
Average initial project duration
OUR MANAGEMENT TEAM
With 70+ successful projects within the first 5 years, our senior team brings cross-industry expertise and deep technical know-how.
Fast, flexible, and always tailored to your needs.

Starting in mathematical economics, David turned to data for something less abstract (spoiler: it's not). After thriving in Berlin's start-up chaos, he now transforms messy data into clear insights and strong relationships—half data whisperer, half partnership builder.
YOUR CAREER AT GEMMA
RESOURCES
CASE STUDY HEYDATA
Doubling churn forecasting accuracy with machine learning
To come
WHITE PAPER
From Hype to Reality: Building a Data and AI Strategy That Delivers True Value
To come