Scientific intelligence for data-driven decisions

From data to
defensible
decisions.

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.

No coding. No statistics expertise required.

ExampleCapital Bikeshare · Washington, DC731 daily observations
Daily rentals

One point per day · line: 28-day average

OptiMod / Findings

50% lower daily demand

Adjusted association for light rain or snow compared with clear weather.

95% confidence intervals · 38%–60% lower in light rain or snow

Public example analysisRead the Scientific Report
Scientific scrutiny, within reach

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.

50%0100%

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
  1. Understand the data.

    OptiMod examines data quality, variable types, distributions and relationships. It prepares the dataset and records each change.

  2. 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.

  3. Select with evidence.

    OptiMod compares eligible models using fit, diagnostic evidence and the analytical objective. The selected model comes with a documented scientific rationale.

  4. 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.

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.

Inside the scientific core
The hybrid principle

Scientific rigour.
Intelligently automated.

How science and AI work together
  1. Rules and calculations.

    Mathematical and logical checks establish which methods fit the data. Model choice is backed by diagnostic and statistical evidence.

  2. 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.

  1. OptiMod workspace, analysis setup: the question “How is weather associated with bike-sharing demand?”, with daily rides as the outcome and weather and calendar patterns as the variables to consider.

    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.

  2. OptiMod workspace, automatic analysis complete: data checks, method checks and model selection, and results and documentation are ticked. Negative binomial regression is selected for this question.

    OptiMod takes it from there.

    Data preparation, method requirements, assumption checks, model comparison and analysis—all handled automatically, with the reasoning recorded.

  3. OptiMod workspace, main finding: 50% lower daily demand in light rain or snow than in clear weather; 95% interval 38% to 60% lower.

    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.

Explore the product tour

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.

Sample Scientific ReportPublic data · independently computed · 10 pages

  1. Page 1 of the sample Scientific Report: What is associated with daily bike demand?01
  2. Page 2 of the sample Scientific Report: Start with the observations02
  3. Page 3 of the sample Scientific Report: Make every transformation explicit03
  4. Page 4 of the sample Scientific Report: Variance fit and point error differ04
  5. Page 5 of the sample Scientific Report: Effects with stated comparisons05
  6. Page 6 of the sample Scientific Report: Dependence remains visible06
  7. Page 7 of the sample Scientific Report: Keep the anomaly, test its influence07
  8. Page 8 of the sample Scientific Report: The fitted model, in full08
  9. Page 9 of the sample Scientific Report: From original data to every result09
  10. Page 10 of the sample Scientific Report: Statistical test record10
Methods
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.

Explore the workspace

A capability for systems.

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.

Explore platform integration
AI assistant Integration concept
You dataset.csv

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 illustration
Research & 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.
Research & development

Built in dialogue
with science.

Explore the evidence
2025 — 2028

Pharma
Intelligence

COLLABORATIVE RESEARCH & DEVELOPMENT
ACTIVE RESEARCH PROJECT

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
Project record at Leibniz University Hannover
Funded by the European Regional Development Fund (ERDF) and the State of Lower Saxony.
  • Industry backing

    PharmaMed Holding supports the Pharma Intelligence project through strategic funding and industry collaboration.

    Project and funding
  • Hightech incubation

    OptiMod joined the BioIntelligence incubator after a multi-stage scientific and commercial assessment.

    Research network
  • Recognition

    German preliminary-round winner of The Waltz of Pioneers at ViennaUP; selected to present at the European DE-TECH Final in Istanbul.

    Recognition and exchange
The founders

Scientific depth.
Entrepreneurial drive.

Founded by brothers Ylli and Drini Morina, bringing business development and quantitative research into one team.

Ylli Morina, co-founder and CEO of OptiMod

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.

Connect with the team
Dr. rer. nat. Drini Morina, co-founder and CTO of OptiMod

Dr. rer. nat. Drini Morina

CO-FOUNDER & CTO

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.

Academic background
For institutions

Your data.
Your control.

For institutions with demanding privacy, security and data sovereignty requirements. OptiMod supports hosting in Germany and deployment entirely within your organisation’s own infrastructure.

Discuss institutional requirements

Hosting in Germany.

Hosted in Germany, with GDPR-compliant data processing. OptiMod supports institutions with high requirements for privacy, security and control over their data.

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.

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.

Explore strategic partnerships