WorldQuant Predictive's premier technology platform, Quanto™, equips its clients with the ability to develop and implement predictive solutions on extensive third-party data, all while preserving their proprietary assets. This dual benefit ensures the protection of confidential data and facilitates the creation of pioneering predictions.
Quanto™ is engineered to aid in the development of resilient models on a large scale, with a focus on minimizing both cost and time to production. Clients have the option to access prediction products directly or via the platform and model libraries of WorldQuant Predictive. The model library of the company consists of pre-built, non-correlated models designed for industry-specific applications. A network of quants is engaged in creating numerous models for each specific use case, leveraging a proprietary blend of third-party and client data.
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Quanto™ serves as an open, collaborative platform that offers a cloud-based workspace for clients and partner data scientists of WorldQuant Predictive. In this space, they have the opportunity to assemble non-correlated models and apply innovative methodologies and techniques for testing and validation. Quanto™ is also equipped with automation tools for the creation of accurate and resilient models. Managers have the ability to supervise all projects, manage costs, and track model performance in relation to business-user KPIs. The platform also provides pre-built templates for a variety of business use cases.
The proprietary technology of WorldQuant Predictive addresses substantial challenges that may surface during the critical final stages of model pre-production and post-production testing and validation. This capability enables the scaling of analytics projects without the necessity to expand team size. Automation removes bias and ensures resilient prediction output throughout the life of adapting and evolving models.
The ensembling methodology of the company, supported by years of experience and expertise in quantitative finance, plays a crucial role in building resiliency and mitigating the risk of model decay. The tools of WorldQuant Predictive make it possible to ensemble large volumes of non-correlated models built on alternative and clients' first-party data and place them in production. The result is accurate, reliable, and lasting predictions at scale.
The Quanto™ platform features a management console that allows managers of analytics teams to oversee all projects and their progress, assign resources, manage cost-per-prediction, and monitor model performance. The platform, open to an unlimited number of users, promotes the sharing of knowledge and models across distributed teams, thereby becoming a valuable asset for businesses.
WorldQuant Predictive offers intuitive, user-driven workflows on the platform, encouraging the sharing of key methodologies and the re-use of models. The company publishes its models and techniques, fostering true collaboration among team members. Model catalogs are searchable, and the time to reach production-ready models is reduced.
The company also provides portable options for integrating models into existing infrastructure and workflows. It can integrate model output with existing visualization tools and customize output UIs as needed. Once in production, WorldQuant Predictive can maintain and optimize models as underlying data changes to ensure decisions are based on the most accurate and reliable outputs.