DISQOVER is a powerful and intuitive knowledge discovery platform for life sciences and healthcare organizations. With our latest release, DISQOVER 6.60, we deliver actionable insight by creating data literacy and search accuracy, making the platform an integral part of your life sciences enterprise ecosystem.
DISQOVER uses the powerful concept of a knowledge graph to integrate, link, and structure data. Combined with semantic search, this allows you to turn your siloed data sources into a single, uniform, and high-quality knowledge base.
DISQOVER can integrate your business' internal and partner's data. It can connect with other software used in your company to further open, analyze and visualize the data. On top of that, you also get access to more than 140 augmented public data sources.
Our solution team goes the extra mile to ensure that your set-up of DISQOVER meets your expectations. Our team of experienced data scientists will guide you and your team through the whole process of onboarding, customization and support. They stay by your side throughout your journey with us.
Our easy-to-use interface democratizes access to data through self-service knowledge discovery for both general and expert users.
Somewhere in that ocean of data is the missing puzzle piece you’re looking for. Connect siloed, disparate data and enable accurate and timely decisions.
As your trusted partner, we provide expert advice throughout your journey with us. Because fast implementations bring value fast.
We see our solution at the heart of your ecosystem. Openness and interoperability are essential to make data actionable for people and machines.
Collaborate with your dedicated and passionate ONTOFORCE data expert who understands your use case and speaks your language.
We gathered international recognitions and serve global organizations like AstraZeneca, BMS, UCB, Roche and many others daily.
In Early Discovery activities, from target identification to lead optimization, you require to explore information for each decision you need to make.
DISQOVER allows you to access all available data, investigate hypotheses, take highlight decisions and set up success potential for the new drug.
During Preclinical Development, DISQOVER will assist researchers in their journey to advance the drug candidates to their best potentials. All scientific knowledge and ELN information are available and consolidated, supporting insights and decisions for efficacy, formulation, route, exposure, biomarker identification up to intended clinical design.
Drug development is highly competitive, and clinical studies are a crucial and expensive step in the high-risk, high-reward route to ground-breaking treatments. Assessing a clinical study’s feasibility, designing a study, or getting insights from all generated information requires processing a massive amount of information and taking multiple dependencies into account.
DISQOVER brings together all siloed data and supports researchers in valuing each piece of information.
At the registration phase, all of the data related to the drug or device will need to be submitted to different authorities following specific standards and formats. The regulatory authority will review the dossier and decide whether to approve or not.
DISQOVER facilitates access to the necessary information to build the regulatory dossier and map the information to the relevant standards.
Drug commercialization is a complex process. To assess the market potential and evaluate the existing competition, pharmaceutical companies need to collect data. They collect data through clinical trials, epidemiological studies, and observational research. Data collection is an expensive process that costs billions of dollars every year. However, it can also be a very profitable investment for drug companies. Discover the use cases that work with data collected during drug commercialization to use for new drug development, successful marketing, and company growth.
Translating FAIR principles into practice is essential to make full use of and obtain maximum value from life sciences data. The benefits of doing so are that it will speed up innovation, as when data from both successful and failed experiments are available, there is an opportunity to build on existing knowledge and past missteps.
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