Inveniam.io 2.0 Demo: The Data Framework for a Web3 World

Introduction

Inventum Capital Partners hosted a comprehensive webinar featuring their latest product, Inveniam.io 2.0. This initiative focuses on optimizing data management in unstructured environments, targeting the private markets like commercial real estate, private companies, and private credit agreements. With a stellar team comprising Rick Bunker, CTO; Kevin CAC, Chief Data Scientist; Patrick Sprow, Head of Solutions; and moderated by Patera, Inventum's strategic rollout aims to revolutionize how data is organized, accessed, and used for various AI and computational tools. Although Albert Belin, a significant contributor, could not attend, he will join the follow-up presentation.

Overview of Inventum and Inveniam.io 2.0

Inventum addresses the challenges of managing vast amounts of unstructured data. Initially focusing on capital markets, they aim to streamline the documentation processes for alternative and private market investments.

Inception and Evolution

Rick Bunker detailed Inventum’s journey, highlighting how they focused on real-world applications. The tool allows for the virtual organization of existing data across multiple repositories, applying permission structures to control access. They also introduced workflows for initial onboarding, monthly, quarterly, or annual updates, and intelligent pestering to ensure data remains current. The evolution includes leveraging AI tools like Textract for efficiency and generative AI for blazing-fast document parsing and data extraction.

AI Implementation and Efficiency

Kevin CAC elaborated on the power of AI, especially generative AI, in vastly improving the value of data in private markets. This cuts the typical discount due to data trust issues, making private assets as appealing as public ones. Inveniam’s tools can frequently update and verify data, offering real-time snapshots, thus reducing the need for traditional, labor-intensive audit trails.

Federated Data Environment

The Federated data environment is a game-changer. This means data can stay within the source environment, respecting all legal and operational constraints while still being accessible for computational and analytical processes. Rick emphasized how this approach balances efficiency and legal compliance, making it easier to handle multiple data flows within an enterprise.

Real-World Applications

Patrick Sprow discussed real-world applications, like a top 15 bank using Inveniam to manage its private credit agreements. What used to take weeks for data extraction and validation now takes hours, thanks to automation and intelligent workflows.

Preparing Data for AI

Kevin continued to explain the importance of preparing data accurately for AI. This is not just about extraction but contextualizing the data. The platform allows for seamless use of multiple AI tools, each optimized for different data types, be it spreadsheets or complex documents.

Modern Infrastructure

Inventum introduces modern infrastructure that allows entities to keep their data evergreen. With tools to anchor data immutably using blockchain technology, and facilitate real-time, secure access and verification, the obsolete methods of moving data between systems are entirely bypassed.

Conclusion and Demo

In their demo, the team showcased the usability and seamless functionality of Inveniam.io 2.0. Without moving the actual data out of its repository, structured data was effortlessly extracted and made ready for multiple applications.

Keywords

• Inveniam.io 2.0
• Unstructured data management
• Federated data environment
• AI integration
• Private markets
• Real-time data verification
• Blockchain anchoring
• Data extraction
• Capital markets

FAQ

Q1: What is Inveniam.io 2.0? A: Inveniam.io 2.0 is a platform by Inventum Capital Partners that streamlines the process of managing unstructured data in private markets through AI integration and federated data environments.

Q2: How does Inveniam.io 2.0 handle data? A: The platform creates a virtual organization of data where it resides, applying necessary permission structures and leveraging AI for data extraction and verification.

Q3: What is meant by a federated data environment? A: A federated data environment allows data to remain within its source repository, ensuring legal and operational compliance while making it accessible for analytical processes.

Q4: How does AI enhance the functionality of Inveniam.io 2.0? A: AI improves efficiency in data extraction and verification processes, reducing them from weeks to hours, and prepares the data for computational tools to derive insights and valuations.

Q5: What are real-world applications of this platform? A: A top 15 bank uses Inveniam.io 2.0 to manage and update its private credit agreements, showcasing a significant improvement in data handling efficiency.

Q6: How is blockchain technology utilized? A: Blockchain technology helps in anchoring data immutably, providing proof of origin and context, thereby ensuring data integrity and trust.