OSTHUS Blueprints

Remove the barriers to innovation.

We develop pharma-level data best practices. For more than 20 years, clients have used our value driven frameworks and methodologies to find new insights faster, to save money and to gain competitive advantage of strategic impact.

Value Principles

  • Strategic Impact

    Strategic Impact

  • Integration


  • Accuracy


  • Modern Data Preservation

    Modern Data Preservation

We believe that fueling data systems with rich, contextual relevance advances the evolution of society. At OSTHUS, we use statistics and semantics to develop standard best practices for how to increase the overall value of an organization and its data.

Just as the printing press gave people the ability to share information quickly, the OSTHUS Blueprint is a methodology that gives innovation leaders the ability to exchange whole libraries of information, or data-in-context, in near real-time.

Today, the OSTHUS Blueprint represents an industry best practice for a majority of top pharmaceutical companies in the world.

We are proud to announce that this approach is now available to any industry.

Leaders in Innovation choose OSTHUS to enrich data, enhance the accuracy of automated systems, and gain the competitive advantage in what is a more than one trillion dollar market for big data and artificial intelligence.

Blue glowing big data

Strategic Impact

The success of any data initiative is dependent on the quality of the data itself. OSTHUS specializes in developing best practices for data integration, management, analytics and intelligence. Our approach gives innovators the confidence that’s required to pursue disruptive machine learning, data analysis, and artificial intelligence initiatives.

We invite leaders in innovation to deploy a production-ready pilot in just 6 to 12 weeks. Experience how new data insights and enhanced data integrity positively impact the full enterprise value chain.  

Hands placing last piece of a Puzzle


Data Innovation depends on the seamless accessibility of your data to get your job done, to innovate or just to save resources, time and money.

At OSTHUS we build standards and best practises as a blueprint for data and system architectures. This way we ensure long term sustainability and enterprise scalability. At the same time we establish customers vendor independence.

Our blueprints give industry leaders the ability to secure, acquire, and share massive amounts of data in near-real time. In this stage, data can be derived from any number of sources and written in any language. As a result of this stage, every data touchpoint from an organization’s past and present is woven into the fabric of data system’s ability to learn, analyze, and predict the future patterns and potential outcomes.

Metalworking CNC milling machine. Cutting metal modern processing technology.


To create a competitive advantage for organizations, accuracy is a must.

Discover how to derive accurate answers from even the most complex queries. Accuracy is the result of simplifying complex mapping processes and build on integration patterns of semantics, statistics and AI Technologies using the OSTHUS Blueprint.

The Integration of AI Technologies such as machine learning, text analytics, prediction or relevance engines embedded in an enterprise scalable AI technology stack supports the transformation of indistinct data into accurate knowledge.

Customers make use of our capabilities to save time, resources and money in data integration and processing, to identify new context or correlations i.e. in R&D. They do so by enabling accessibility in regulatory affairs to enhance reporting automation and quality or in manufacturing for analysis or prediction, to only name a few examples.

The result is a customized data performance system that offers the competitive advantage in any market.

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Modern Data Preservation

The value of this data is heightened when companies adopt modern data preservation techniques. Using digital archiving, machines obtain the ability to preserve and make scientific data reusable.

By cultivating connections between the many data sources and dynamic assets, the archive incubates context and relevance. This ensures data may be transformed into information at scale.