SciSure
SciSure is revolutionizing laboratories across the globe with innovative digital solutions designed for the future. Our Digital Lab Platform (DLP) integrates essential tools such as Electronic Lab Notebooks (ELN) and Laboratory Information Management Systems (LIMS), alongside cutting-edge technologies like artificial intelligence and machine learning. Engineered for effortless integration with your laboratory's existing hardware and software, this platform significantly boosts flexibility, security, and overall efficiency. By streamlining and optimizing your research and development processes within a secure and compliant framework, we enable researchers to focus more on driving innovation. Our dedicated team of experts is here to assist you throughout every phase of your digital lab transformation journey, ensuring a smooth transition.
Learn more
Fraud.net
Best-in-class, Fraud.Net offers an AI-driven platform that empowers enterprises to combat fraud, streamline compliance, and manage risk at scale—all in real-time. Our cutting-edge technology detects threats before they impact your operations, providing highly accurate risk scoring that adapts to evolving fraud patterns through billions of analyzed transactions.
Our unified platform delivers complete protection through three proprietary capabilities: instant AI-powered risk scoring, continuous monitoring for proactive threat detection, and precision fraud prevention across payment types and channels. Additionally, Fraud.Net centralizes your fraud and risk management strategy while delivering advanced analytics that provide unmatched visibility and significantly reduce false positives and operational inefficiencies.
Trusted by payments companies, financial services, fintech, and commerce leaders worldwide, Fraud.Net tracks over a billion identities and protects against 600+ fraud methodologies, helping clients reduce fraud by 80% and false positives by 97%. Our no-code/low-code architecture ensures customizable workflows that scale with your business, and our Data Hub of dozens of 3rd party data integrations and Global Anti-Fraud Network ensures unparalleled accuracy.
Fraud is complex, but prevention shouldn't be. With FraudNet, you can build resilience today for tomorrow's opportunities. Request a demo today.
Learn more
BenchSci
Optimize the entire selection process for reagents and model systems to eliminate inefficiencies and reduce errors that can result in costly experimental setbacks. By condensing the decision-making timeframe from the usual 12 weeks to a mere 30 seconds, project timelines can be significantly shortened. This strategy not only minimizes direct expenses associated with consumables but also has the capacity to generate substantial annual savings. In addition, it supports the organizational mission by allowing scientists to reclaim precious research time. Experience concrete business benefits from AI through a solution that is both proven and ready for implementation. Over 41,200 scientists, representing 15 of the top 20 pharmaceutical companies and more than 4,450 academic institutions, rely on BenchSci’s AI-Assisted Antibody Selection to design more effective experiments while achieving significant reductions in hard costs. It’s crucial to recognize that antibodies account for only 40-50% of the reagent-related failures. Gain access to a wealth of experimental evidence, an extensive catalog of reagents and model systems, and independent validations, all within a single intuitive interface. Leverage real-world experimental data sourced from 11.2 million scientific publications, including those often not publicly available, for a comprehensive approach to research. This cutting-edge methodology equips researchers with the tools necessary to make swift and informed decisions, ultimately transforming the landscape of scientific experimentation. By streamlining processes and enhancing data accessibility, the opportunity for breakthroughs in research becomes significantly more attainable.
Learn more
NVIDIA Modulus
NVIDIA Modulus is a sophisticated neural network framework designed to seamlessly combine the principles of physics, encapsulated through governing partial differential equations (PDEs), with data to develop accurate, parameterized surrogate models that deliver near-instantaneous responses. This framework is particularly suited for individuals tackling AI-driven physics challenges or those creating digital twin models to manage complex non-linear, multi-physics systems, ensuring comprehensive assistance throughout their endeavors. It offers vital elements for developing physics-oriented machine learning surrogate models that adeptly integrate physical laws with empirical data insights. Its adaptability makes it relevant across numerous domains, such as engineering simulations and life sciences, while supporting both forward simulations and inverse/data assimilation tasks. Moreover, NVIDIA Modulus facilitates parameterized representations of systems capable of addressing various scenarios in real time, allowing users to conduct offline training once and then execute real-time inference multiple times. By doing so, it empowers both researchers and engineers to discover innovative solutions across a wide range of intricate problems with remarkable efficiency, ultimately pushing the boundaries of what's achievable in their respective fields. As a result, this framework stands as a transformative tool for advancing the integration of AI in the understanding and simulation of physical phenomena.
Learn more