Smart analytics that understand science.

Algorithms that can exploit raw data in flexible ways, including: clustering, trending, tagging, inexact matching, and pattern recognition across structured or unstructured sources.
Logic-based models that provide reference data structures in the forms of controlled vocabularies, taxonomies, and layered ontologies. Data models can now be used by both humans and machines.
Machine Learning
Applying self-correction capabilities to algorithms so new patterns and insights can be gained automatically by machines. Improve statistical analytics and system performance.
Utilize both deductive and inductive logics which can run over and against semantic models. Provide advanced forms of query patterns, automated rules, and new logical patterns of interest.



Silos Exist
Data and information exist in digital and human silos.
Non Digitized Information
Knowledge is scattered across the organization.
Lack of Common Vision
Missing alignment between business units and scientists.
Lack of Understanding
Data schemas are not explicitly understood.
Briddle/Rigid Integration Strategies
Software systems are often proprietary. Legacy architectures are brittle and rigid.
Compatibility Issues
Algorithms that can exploit raw data in flexible ways, including: clustering, trending, tagging, inexact matching, and pattern recognition across structured or unstructured sources.

We need to leverage big data and machine learning
as new resources instead of thinking of them as new costs.

4 Vs of Big Data



Data is ever increasing in size and will continue to do so into the foreseeable future.  The ability to manage large data sets relies on skills around NoSQL database technology, indexing and advanced search. OSTHUS has experts in these Big Data technology platforms allowing us to scale solutions for enterprise-level needs.


The world does not sit still – and neither should your data.  Data velocity can pertains to the ever increasing rate at which data flows into modern organizations from new sources. The modern speed of business requires organizations detect, react and pivot faster than their competition.

OSTHUS has skilled personnel who know how to help keep up with your data and ever changing world.


As new technologies emerge, so do the types of data they produce. Companies today must leverage a wide variety of data sources in order to solve real-world complexity and hidden/dark data problems.

OSTHUS’ knowledge of semantic integration provides a means to integrate data from a wide variety of sources, allowing users to answer even the most complex problems.


Veracity refers to the uncertainty of data.  Much data in the world is probabilistic in nature – meaning it is “fuzzy”.  In this sense, understanding data’s veracity often allows one to better understand issues of truth and associated data quality.  Decisions made on unreliable information are bad decisions.

OSTHUS’ capabilities in statistical analytics provide a means to detect, deduce and exploit uncertainty and better understand the dangerous unknowns in your data.

Benefit from our knowledge.



Data continues to grow in both size and complexity.
Many of the Big Data approaches focus on the narrow issues of data size and performance. So companies are now shifting their big data technologies to Data Lakes. This trend is spreading across many industries with the hopes of providing unprecedented capabilities for data integration and data analytics.

Big Analysis is more than running statistics, number crunching and pushing big data against Hadoop clusters. The result is more than graphs and disconnected data. Tactic or Trend – The Potential of the data lake


The result is improved capture of data types/sources, from laboratory instrument data, to clinical data, to regulatory rules & submissions, all the way to business drivers for the enterprise. Providing advanced analytics capabilities that can be built as modules and expand across an enterprise.

Free Webinars

Big Analysis is the very generic concept of bringing Semantic and Statistical concepts together. We invite you to learn more about Semantics, Machine Learning and Pragmatic AI on our YouTube Channel.

Meet the Experts

OSTHUS possesses a team of world-class theorists, developers and engineers with decades of experience in designing, building and deploying state of the art software systems for a large varierty of industries and applications. 

  • 6e837f88-b56c-48a8-a030-f52fe75cf753

    Data Science Expert , Thoughtleader, Philosopher

    Eric Little
  • Geoff_Gross_1x1

    Data Fusion, Algorithms Design, Analytics, Machine Learning

    Geoff Gross
    Senior Data Scientist
  • Heiner Webinar quadrat

    Data Architect, Linked Data Enthusiast, Project Leader

    Heiner Oberkampf
    Senior Semantics Engineer

OSTHUS brings innovative scientific lab informatics applications

to the world’s largest research and development centers. Experts at partnering
to guide your business strategy to successful IT solutions. With teams of
unique interdisciplinary experts, we help our clients solve the impossible in
global data-driven challenges in Pharma and Life Sciences.