LEARNING
IMPACT
INDICATOR
TECHNOLOGY
making sense of big data
Modelling, Analysing and Reporting
WHat it is?
A big data platform to work with indicators, to conceal the big data complexity behind compact indicators. You can create and set up any type of indicator; list, model or learning indicators, via machine learning and neural network technology.
LEIMINTE is currently extended to cope also with real-time data series. Data can be uploaded via file uploads or APIs (suitable for real time data)
How?
Your data is organized in projects; you can then
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set up indicators and use your project data to calculate and report upon them; the indicators can be calculated based on lists or models that you will set up
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run flexible machine learning training and classifications on your data, mapping them on classes/ labels you will define
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combine both above, i.e., calculate your indicator values based on your lists or models, and run machine learning training/ classifications on the indicators
LEIMINTE is based on the TensorFlow open-source neural network technology. It provides a user interface to TensorFlow, allowing you to organize your work with your data.
See Solutions below for practical examples.
SOLUTIONS
Standard compliance
Providing data support for standard compliance (a model indicator based project) EUROPEAID PROJECT
Data management for CSR (Corporate Social Responsibility), EMAS Environmental Management and Audit Scheme), and HCMI (Hotel Carbon Measurement Initiative)
See video (HCMI)
Company segmentation
Company segmentation with regard to the innovation potential for public funding authorities (a ML classification based project) HORIZON PROJECT
See video
Risk assessment
Venture capital innovation funding risk classification (a ML classification based project) PRIVATE CLIENT
See video
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NEWS & events
Entreprise Standard Documentation Support
A model for sustainable tourism in Central Asia: Building Capacities, Creating Awareness, Introducing technology; a EuropeAid project
LEIMINTE is currently deployed in 360 tourism enterprises in Central Asia countries to support their documentation for CSR (Corporate Social Responsibility), EMAS (Environmental Management and Audit Scheme), and HCMI (Hotel Carbon Measurement Initiative).
PRICING
Please contact us for a quote. We need
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a concise description of the intended use case,
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the size and kind of data (e.g real time)
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the number of users
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the models that will be used and the indicators that will be created
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whether machine learning based training and classifications will be required