Develop original AI methods and deliver them as a prototype, MVP or integrated application.
No standard solution fits your task, or existing models fail on your data, requirements or domain constraints.
IAP investigates why existing methods do not solve the problem and develops new algorithms where needed. We compare results with suitable reference methods and evaluate them on data not used during development. Your experts contribute requirements and feedback throughout development.
Depending on the assignment, you receive an algorithm, a documented prototype or an application with a user interface and integrations. Tests and acceptance criteria record which requirements have been implemented. The work can include deployment and handover to your IT team.
Read the technical detail ↓New measurement methods, rare events, unclear targets or contradictory data can require original method development. IAP connects scientific investigation with implementation. The particular problem determines whether an established approach is sufficient or a new algorithm is needed.
A domain-specific question becomes a method whose results can be understood and assessed. The inflammation study combines routine clinical parameters with a two-stage, explainable classification method. Cinderella uses cell populations to estimate how much a bone marrow sample is diluted by peripheral blood, helping assess its suitability for residual disease analysis. Both studies connect specific requirements with original algorithm development and scientific evaluation. For business projects, IAP aligns this development process with the available data, decision criteria and the agreed prototype or MVP.
You can receive a documented prototype for further development by your own IT team. Alternatively, IAP develops the agreed application, including its interface, integrations and deployment. Scope, acceptance criteria and handover are defined for the assignment.
Hoffmann, J., Rheude, A., Neubauer, A., Brendel, C. & Thrun, M. C. (2024). Development of an explainable AI system using routine clinical parameters for rapid differentiation of inflammatory conditions. Frontiers in Immunology, 15, 1364954.
Development of an explainable method for differentiating inflammatory conditions using clinical measurements.
Hoffmann*, J., Thrun*, M. C., Röhnert, M. A., von Bonin, M., Oelschlägel, U., Neubauer, A., Ultsch, A. & Brendel, C. (2023; online 2022). Identification of critical hemodilution by artificial intelligence in bone marrow assessed for minimal residual disease analysis in acute myeloid leukemia: The Cinderella method. Cytometry Part A, 103(4), 304–312.
AI for estimating critical blood dilution in bone marrow samples. *J. Hoffmann and M. C. Thrun contributed equally.
Stier, Q., Gehlert, T. & Thrun, M. C. (2021). Multiresolution Forecasting for Industrial Applications. Processes, 9(10), 1697. MDPI.
A further example of original method development: multiresolution forecasting for industrial time series.
Commissioned development · MVP
Future product demand needed to inform planning in a supply chain with an automated warehouse.
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Commissioned development · delivered solution
Train operating data was to provide indications of conditions relevant to maintenance. Changes caused by varying loads and operating conditions needed to be distinguished from possible component faults.
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Proof of Concept (PoC) using real data
Initial review of a property listing requires information from text, images and other data sources. The aim was to automate recurring preparatory work and combine the findings in an overview for assessment.
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Feasibility assessment · scoping
Which marketing and merchandise-planning tasks are suitable for targeted use of AI? The Body Shop needed an assessment of potential applications and the prerequisites for implementing them.
Project details →Option 1
IAP investigates the problem, develops and evaluates the approach, and hands over the agreed prototype with documentation. Your IT team takes responsibility for further product development and operation.
Option 2
IAP develops the agreed application, including its interface and integrations, connects it to the intended workflow, and completes acceptance and handover. Your organisation or operating partner takes responsibility for subsequent operation.
In a free, non-binding 20-minute introductory discussion, we clarify your objective, starting point and a useful next step.
