Strategy & Technology Consulting
Partner with our team to discover how semantic technology and knowledge graphs can address your needs, unlocking insights, breaking data silos, and transforming content into knowledge.
Assess feasibility
- Collaborate with our team to determine the business value of cognitive and semantic technology.
- Work on a proof-of-value project to increase success chances and minimize risk and initial investment.
- Select the right KPIs to measure success.
Maximize data potential
- Discover untapped streams of data analytics and new revenue opportunities through Big Data analytics.
- Apply predictive models and take data-driven business decisions.
- Draw on flexible graph data models and evolving knowledge structures (ontologies) that adapt as your business and data grow.
Optimize content management
- Effectively organize, promote, deliver, and reuse your content.
- Design a technical architecture with a flexible semantic layer.
- Leverage our expertise in creating technical architecture solutions for industries such as media, publishing, and cultural heritage.
Implement seamlessly
- Benefit from our extensive experience across various industries with proven success stories.
- Rely on our team for end-to-end solutions, from identifying requirements to proof-of-value and full implementation.
- Receive ongoing support and assistance even after project launch.
The quickest steps to innovation success
Stage 1: Workshop (1-3 days)
Collaborate to identify your requirements and business needs. Agree on KPIs and get your initial sign-off.
Stage 2: Proof of value/Proof of concept (2-4 weeks)
Present a custom demo tailored to your enterprise data and requirements.
Stage 3: (Conceptual) Architecture (1-3 days)
Agree on the optimal mix of products, solutions, and architecture to initiate development.
Stage 4: Solution development and delivery (3-9 months)
Deliver a complete end-to-end solution, along with support for seamless implementation.
Industry leaders trust us



















































Related posts
GraphDB in Action: Using Semantics To Push The Envelope Of Software Engineering, Machine Learning, and E-Health Domains
Read about three GraphDB-powered use cases in the areas of machine learning, software engineering, and e-health, which are poised to move our understanding and practices of interconnectedness forward by using semantic technologies.
Why Establishing Data Context is the Key to Creating Competitive Advantage
Ontotext’s Deron Ryan talks to SD Times about why establishing data context is the key to creating competitive advantage
Semantic Technology and Integration 101: What It Is and Why It Matters
Ontotext’s Doug Kimball talks about semantic technology, semantic data integration, data fabric and more in this Dataversity article