French fintech provider Cogendi has announced the launch of its AI Production Studio for Multi-Asset Insights, a new production environment designed for global investors and multi-asset class managers. The platform enables investment professionals to transform plain language instructions into bespoke, dynamic widgets and agents using secure AI. By automating the translation of natural language into coding blocks, the studio aims to address the growing demand for customized analytics and reporting while maintaining strict governance, confidentiality, and auditability throughout the entire investment insight creation workflow.
Cogendi Analytics Studio Workflow Integration
The Cogendi Analytics Studio functions as a centralized factory for converting expert requests into reusable investment insights. Traditionally, the process of generating multi-asset analytics required analysts to manually extract data, combine disparate datasets, apply proprietary calculations, and aggregate results across fragmented, multi-system environments. This manual cycle often had to be repeated for every new ad hoc request from senior management or sophisticated clients.
The new studio integrates this entire lifecycle, utilizing secure AI to power every stage of the production process. This technology translates plain language into appropriate coding blocks that form dynamic widgets or agents. These insights are fully defined by experts and can be embedded directly into existing company dashboards, reports, and workflows. Because the insights are dynamic, they automatically adapt when applied to different portfolios or changed parameters. This allows users to build a specific insight once and reuse it indefinitely, ensuring that the output remains relevant as investment data evolves over time.
Flexible Deployment for Global Investors
According to Guillaume Velut, CEO of Cogendi, the Analytics Studio is designed with deployment flexibility in mind to suit diverse institutional infrastructures. The tool is accessible as a comprehensive part of the full Cogendi solution or can be implemented as a standalone analytics layer. This modular approach allows firms to plug the analytics engine directly on top of their existing data and portfolio management systems, providing clients with greater choice regarding their technical stack.
The development follows Cogendi's earlier work on a Virtual Assistant launched nearly two years ago, which allowed users to query investment data. The new studio moves beyond simple querying to solve the complex challenge of producing high-quality, customized outputs quickly. By combining plain-language interaction with core analytics and visualization engines, the platform ensures that expert users drive and validate every step. This maintains the necessary levels of explainability and governance required in professional financial environments.
Key Takeaways
- Cogendi Analytics Studio uses secure AI to translate plain language instructions into reusable multi-asset widgets and agents.
- The platform can be deployed as a full solution or as a standalone analytics layer integrated with existing portfolio management systems.
- The studio automates a traditionally fragmented process involving data extraction, proprietary calculations, and multi-source aggregation.
FinanceInsyte's Take
In our view, Cogendi’s move to bridge the gap between natural language and complex coding blocks signals a significant shift in how institutional intelligence is scaled. By moving from a simple "Virtual Assistant" to a full-scale "Production Studio," Cogendi is targeting the structural inefficiency of manual reporting cycles. This approach suggests that the next frontier for fintech is not just data access, but the automated synthesis of expert logic into scalable, reusable assets. For B2B buyers, the ability to plug this layer into existing legacy systems provides a pragmatic path to modernization without the need for a total infrastructure overhaul.
Source: EINPresswire
