At its annual Splash 2026 event, OneStream unveiled several innovations designed to transform corporate finance practices. The US software vendor is focusing on a combination of analytical performance, technological openness and artificial intelligence to help finance teams manage ever-increasing volumes of data and accelerate their decision-making processes.
A new analytics engine to process more data
Among the major announcements was the launch of a new analytics cube engine designed to improve the performance of complex financial models.
According to OneStream, this new architecture speeds up calculations, consolidations and data loads while significantly increasing processing capacity. The company states in particular that some consolidations can now be performed several times faster than before.
The new environment also supports much larger data volumes and introduces optimised management of so-called “sparse” financial data, often found in large-scale EPM projects.
Developer Studio opens the platform further to developers
The software vendor also unveiled Developer Studio, a new environment for technical teams and developers.
This solution enables users to work directly from standard development tools, with support for .NET projects, version control systems and artificial intelligence-powered coding assistants.
With this approach, OneStream aims to simplify the development and customisation of financial applications while reducing the constraints associated with proprietary environments.
SensibleAI accelerates AI integration in finance
In the area of artificial intelligence, SensibleAI continues to evolve with the addition of new features dedicated to forecasting and automation.
OneStream notably announces easier integration of forecasting models through a native connection with the platform’s data cubes. The aim is to enable companies to deploy financial forecasting scenarios more quickly and integrate AI into their existing analytics processes.
The platform also offers new reusable components to facilitate development and API integrations.
An architecture designed for financial AI agents
Another strategic announcement was the launch of the “Finance Agentic Layer”, a technology layer designed to host artificial intelligence agents specialised in financial use cases.
This architecture would enable companies to use different AI models and tools while maintaining a high level of governance, security and cost control.
According to OneStream, this approach is intended to provide greater flexibility to organisations seeking to integrate AI agents into their financial, analytical and operational processes.
By improving analytical performance, modernising development tools and integrating AI agents, the software vendor aims to meet finance teams’ growing needs for automation, speed of execution and data utilisation.
