TSAM London : NeoXam's Blueprint for Taming Private Market Complexity with AI

Why It Matters

By automating data extraction and reconciliation, NeoXam helps private‑market investors cut costs, redeploy talent, and scale operations, accelerating their ability to capture returns in a rapidly expanding asset class.

Key Takeaways

• NeoXam leverages AI to extract structured data from unstructured private market documents.
• Integrated data model harmonizes assets across accounting, reconciliation, and data management.
• AI-driven automation reduced manual reconciliations, adding 25,000 without extra staff.
• Clients can redeploy staff to high‑value tasks like counterpart negotiations.
• Deployments complete in six‑to‑nine months, delivering measurable gains by year‑end.

Summary

NeoXam presented a roadmap for applying artificial intelligence to tame the growing complexity of private‑market data, focusing on private equity and credit portfolios that are increasingly adopted by institutional investors.

The firm’s approach combines AI‑driven extraction of structured information from unstructured documents with a unified data model that harmonises assets across accounting, data‑management and reconciliation layers. Automated routines replace manual workload, while rule‑based scripts replicate clients’ existing operational processes.

NeoXam cited a recent deployment where a major fund administrator added 25,000 reconciliations without hiring additional staff and automated tens of thousands of daily processes. Implementations typically finish within six to nine months, promising measurable efficiency gains before year‑end for new customers.

The acceleration of AI‑enabled data handling frees investment teams to focus on high‑value activities such as counter‑party negotiations and client service, giving firms a competitive edge in the fast‑growing private‑market space.

Original Description

At TSAM London, Nick Taplin from NeoXam centered on two topics that are currently top of mind for financial professionals: AI and the growing complexities of private markets. Noting that AI is a universal subject, clients are keen to understand how NeoXam will incorporate the technology into their products while ensuring compliance with existing AI policies

Beyond AI integration, there's significant demand for solutions addressing private markets, specifically, how firms can get a comprehensive, "whole of book" view of their assets. As more people move into areas like private equity and private credit, they are finding it difficult to manage unstructured data and achieve a consistent, holistic view across all asset classes.

NeoXam is addressing this by developing tools that use AI to extract structured, usable data from unstructured values. Additionally, their products include a data model designed to harmonize all these different assets for processes ranging from data management and accounting to reconciliation. Taplin stressed that they work closely with clients to replicate and integrate their existing operational processes into NeoXam's automated systems.

NeoXam's automation offering is making a real difference by replacing what used to be heavy, manual workloads, particularly in data management and reconciliation. Taplin highlighted some powerful results: major fund administrators have been able to handle an additional 25,000 reconciliations without needing to increase their headcount.

By completely automating tens of thousands of manual processes every day, staff can be redeployed to more valuable, high-impact tasks, such as investigating significant data breaks, engaging with counterparties, and offering better customer service. For customers who engage now, Taplin estimated that most implementations occur within six to nine months, meaning improvements should be noticeable before the end of the year.