OptiMod automates scientific data analysis, turning complex data into clear, defensible evidence. Understand the findings, the uncertainty and the reasoning—for decisions in research, business and public policy.
Results should earn trust before they inform decisions.
Scientific data analysis should be within everyone’s reach.
Organisations collect more data than their statistical specialists can examine. OptiMod puts that expertise into software, so researchers and domain teams can investigate their own questions.
General-purpose AI language models are not a substitute for a scientific validation system. OptiMod evaluates the data and model assumptions, compares suitable methods and documents the calculations behind each finding.
Our ambition is a standard of evidence that lets others examine how a conclusion was reached. Explore the applications
The replication challenge
More than 70% of researchers surveyed had tried and failed to reproduce another scientist’s experiments.
70%0100%
More than half had failed to reproduce their own experiments.
For scientific and business-critical decisions, the bottleneck is no longer producing an answer, but trusting it.
The OptiMod approach
Scientific knowledge, built into the workflow.
OptiMod combines mathematical and logical reasoning with targeted AI assistance. It evaluates your actual data, tests the requirements of candidate methods and selects the best-supported model for your question. Automatically.
A simplified view of the engine behind OptiMod
Data
Quality
Model space
Assumptions
Selection
Inference
Report
01
Understand the data.
OptiMod examines data quality, variable types, distributions and relationships. It prepares the dataset and records each change.
Data
Quality
02
Establish what fits.
Mathematical and logical checks establish which methods fit the data and the question. Model assumptions are part of this evaluation from the start.
Model space
Assumptions
03
Select with evidence.
OptiMod compares eligible models using fit, diagnostic evidence and the analytical objective. The selected model comes with a documented scientific rationale.
Selection
04
Explain. Document. Deliver.
Estimates, uncertainty and interpretation stay connected to the calculations behind them. Each finding can be traced back to its data, methods and checks.
Inference
Report
Schematic illustration. Candidate methods and relevant checks depend on the data and question.
From a dataset and a question to a documented scientific result. OptiMod’s core algorithms combine several years of research at Leibniz University Hannover with dedicated research and development at OptiMod.
Mathematical and logical checks establish which methods fit the data. Model choice is backed by diagnostic and statistical evidence.
02
Targeted AI assistance.
AI helps make the process efficient and the findings understandable. Explanations stay connected to the calculations and checks behind them.
The product experience
Complex science. A remarkably easy experience.
Drag and drop your data file and set your goal. OptiMod handles the scientific analysis automatically, then explains the findings and documents how it reached them.
01
You bring the question.
Drag and drop your data file. Set your goal and variables. You contribute the context and knowledge of your field; no coding or statistics expertise is required.
02
OptiMod takes it from there.
Data preparation, method requirements, assumption checks, model comparison and analysis—all handled automatically, with the reasoning recorded.
03
You receive the evidence.
Understand the findings and their uncertainty. Keep the Scientific Report with the methods, named tests and analytical decisions behind the result.
Interface preview, in final development. The example uses real public data and independently computed results. Real public data
The Scientific Report
The reasoning travels with the result.
The Scientific Report records the model choice, the assumptions tested and the uncertainty behind the finding. Keep the PDF and share it independently of access to OptiMod.
Data preparation, variable definitions and the rationale for the selected model.
Checks
Named statistical tests, test statistics, p-values and diagnostic findings.
Interpretation
Estimates, uncertainty and limits that matter when the result informs a decision.
One scientific core, two ways to use it.
Individuals gain access to scientific analysis without needing statistical expertise. For platform providers, the opportunity is to bring the same capability into software, data workflows and AI systems.
For individuals and teams.
Upload your data and set your goal. OptiMod handles the statistical work automatically, evaluating the data and method requirements to select a suitable analysis. Get understandable findings and a Scientific Report.
Connect OptiMod’s scientific core to analytics platforms, enterprise software, research systems and AI assistants. Explore bringing automated analysis and traceable findings into your own products and workflows.
Analyse these customer data. Which factors are associated with retention?
In the backgroundOptiMod runs the scientific analysis
Assistant
Longer onboarding times are associated with lower retention after accounting for the recorded customer characteristics. I’ve attached the estimates, uncertainty and model checks.
Scientific ReportPDF attachment · Methods, checks and results
Illustrative chatbot exchange. The assistant presents OptiMod’s findings in its own reply, with the Scientific Report attached.
Potential applications
Different questions. A common need for evidence.
Research, organisations and public institutions face different decisions. Each needs an analysis whose method, uncertainty and limitations can be understood.
Schematic illustrationResearch & academia
Does an observed difference remain after accounting for relevant variables?
Turn experimental data into scientifically grounded findings. OptiMod handles model evaluation, statistical checks and interpretation, with a clear analytical record for collaborators and publication.
Decision
Which findings warrant further study?
Evidence to review
Adjusted estimates, model assumptions and uncertainty.
Schematic illustrationPharma & life sciences
Which molecular or patient characteristics are associated with an outcome?
Structure exploratory analyses and prioritise hypotheses for further investigation. Pharma Intelligence provides an active research setting for this direction.
Decision
Which relationships warrant experimental follow-up?
Evidence to review
Candidate explanations, diagnostics and open questions.
Schematic illustrationBusiness strategy & markets
Which customer and market factors are associated with revenue or retention?
Compare explanations, examine uncertainty and bring documented evidence into commercial planning.
Decision
Which retention initiatives deserve a closer look?
Evidence to review
Competing explanations and the uncertainty of each estimate.
Schematic illustrationIndustry & operations
Which process conditions are associated with variation in quality?
Identify relationships worth investigating and give technical teams a shared statistical basis for process reviews.
Decision
Which conditions should engineers investigate first?
Evidence to review
Process associations, variability and diagnostic findings.
Analyse flood exposure, population vulnerability and infrastructure data to inform national investment priorities. Make the assumptions, uncertainty and reasoning behind each conclusion explicit—so decisions affecting lives, critical infrastructure and public resources can be scrutinised and explained.
Decision
Which regions warrant priority for flood protection?
Evidence to review
Exposure, vulnerability, model assumptions and uncertainty.
Schematic illustrationFinance & risk
Which characteristics are associated with changes in measured risk?
Document estimates, model choices and uncertainty so analytical conclusions can be examined in internal review.
Decision
Which changes in a risk estimate need closer review?
Evidence to review
Model choices, estimates and the limits of the available data.
Schematic illustrationAI & software platforms
How can a platform attach scientific evidence to its answers about data?
Explore embedding method evaluation, assumption checks and documented statistical findings into the software people already use. Give users a clear explanation and the scientific record behind it.
Opportunity
Bring scientific analysis into an existing data product.
Evidence to review
The method used, checks performed and limits of the finding.
From statistical methods to pharmaceutical research.
OptiMod emerged from Leibniz University Hannover’s ITE. Today, it leads Pharma Intelligence, connecting scientific software development with AI-assisted pharmaceutical research.
Consortium: OptiMod · Leibniz University Hannover · Soranos IT-Service
Founded by brothers Ylli and Drini Morina, bringing business development and quantitative research into one team.
Ylli Morina
CO-FOUNDER & CEO
Studied Computer Science at Georg-August University of Göttingen. He leads OptiMod’s business development and strategic partnerships, turning its scientific foundation into a clear product and business opportunity.
Studied Statistics at Georg-August University of Göttingen and is a researcher at Leibniz University Hannover. His work connects data science, innovation research and statistical methodology.
For institutions with demanding privacy, security and data sovereignty requirements. OptiMod supports hosting in Germany and deployment entirely within your organisation’s own infrastructure.
Hosted in Germany, with GDPR-compliant data processing. OptiMod supports institutions with high requirements for privacy, security and control over their data.
02
No training on your data.
Your data is never used to train AI models. When your analysis is complete, the data used to produce the results is deleted from the servers.
03
On your own infrastructure.
OptiMod can run on your own servers or computers. For sensitive environments, analysis stays within your infrastructure and your data stays with you.
For strategic partners
A scientific core. A wider strategic horizon.
Explore how scientific analysis could support the people and decisions within your organisation or platform.