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SWIFT AI > SWIFT AI Toolkit > Third Party Tools

Third Party Tools

Toolkit

Excel and Power BI

Our products and services include the SWIFT AI Generative Toolkit that offers two core products built on its foundational data model to deliver AI-driven solutions: SWIFT AI API and SWIFT AI Tools and Extensions. We leverage LLMs and our proprietary API to facilitate seamless integration with third party tools.

SWIFT AI Tools and Extensions include Excel and Power BI within the Microsoft 365 suite available through the add-in marketplace. Our services include building data pipelines and optimizing data ingestion enabling LLM fine-tuning for specific use cases.

SWIFT is seamlessly integrated with Microsoft 365, enhancing financial and operational efficiency by leveraging advanced AI, data modeling capabilities, and familiar productivity tools like Excel that your teams already know and use.

  • From modeling to templates and every Excel formula - all Excel capabilities are built into SWIFT AI.
  • SWIFT AI can be deployed, managed and fully controlled and owned by your Finance Team - Zero IT support required.
  • As the Excel interface is familiar, SWIFT AI empowers users at all levels of your organization to easily adopt and embrace it.
  • Now your teams can efficently distribute reports and budgets providing a seamless, integrated environment for your entire business.
  • Excel templates can be easily imported with a unified interface.
  • Go beyond FP&A and AFE with cross-functional use cases for higher ROI.

Extracting and Connecting Critical Insights from Unstructured Data

The SWIFT AI API unlocks previously inaccessible insights and knowledge within unstructured data using Natural Language Processing (NLP). Utilizing advanced machine learning techniques to automate the retrieval of information, classification of documents, and content analytics, SWIFT AI API can automatically group documents from records, emails, texts, reports, contracts, financial documents, and other richly formatted sources – by similarity, making them easy to search for deeper insights

  • Text to Data: Convert natural language into native data types and structured objects through instructions (prompting) or data extraction.
  • Entity/Data Extraction: Automatically extract and structure data and specific elements like numerical/tabular data from unstructured text such as reports, well names, dates, emails, logs, and locations from text for better data management, easy integration and analysis
  • Classification: Categorize documents, emails, and incident reports for efficient sorting and organization.
  • Synthetic Data: Create artificial data to simulate scenarios, train models, and protect sensitive information. This can also fill the gaps for where you have insufficient data

Contact us to learn more!

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