Leading healthcare investor chooses deal engine to power data and AI strategy

LONDON, UK, April 2026: Deal Engine (formerly Filament Syfter), the category-defining dealmaking data engine for private markets, today announced that a leading European healthcare-focused private equity firm with approximately €9bn in assets under management has begun onboarding Deal Engine technology to support its data strategy through a more unified data and AI foundation.

The firm’s singular goal was to build the right foundations (data infrastructure) for ever-evolving GenAI and Agentic AI efficiencies across the firm, in response to (1) increasing adoption of AI tooling in private equity and the need to stay competitive, and (2) a strategic imperative to continue scaling globally, diversify its strategies and ultimately grow AUM over time.

Like most, they were at an operational inflection point, deciding on Deal Engine’s experience and rapid time-to-value over a full in-house build requiring significant resource and time investment.

Establishing a unified data foundation

With Deal Engine’s extensive experience in data engineering, the firm selected us to help establish a more consistent and connected data foundation across its investment platform in order to capitalise on AI.

Like all Deal Engine clients, the firm’s approach is to think: infrastructure, data, AI.

This involves bringing together proprietary internal data sources, third-party market sources and unstructured public information into a single, governed environment, acting as a memory layer, pulling context from these interconnected sources. The aim of this memory layer is to make it easier for deal teams to work with a shared, reliable view of the market and their own institutional knowledge.

In practice, this includes:

• Building unified, 360 company profiles across the investable universe, combining CRM data, third-party providers, web data and sector-specific sources
• Building and encoding proprietary subsector classifications per their investment thesis
• Supporting more consistent prioritisation of target companies by creating AI sourcing agents against unique investment theses and CRM monitoring agents against existing leads
• Making it easier to see where the firm already has relationships, knowledge or access within its network; utilizing this valuable IP in a systematic way versus sitting across a table asking, “who do we know?”
• Enriching and cleaning the firm’s CRM using the Deal Engine API
• Establishing groundwork for commercial intelligence and identifying market growth opportunities for the firms’ current portfolio
• Unlocking “low-hanging fruit” with an integrated data stack when using Frontier LLMs, such as preparing conference briefings or pre-meeting one-pagers

Building a portable and usable form of institutional memory

With the speed of AI advancement, the firm also chose Deal Engine for its flexibility in plugging into LLM models. Building an integrated data store which can be connected via MCP to new Frontier LLMs will always ensure the most efficient tokenization and eventual encoding of different agentic workstreams consistently across the firm.

About Deal Engine (formerly Filament Syfter)

Deal Engine is a dealmaking data engine built specifically for private markets firms. It brings together proprietary, market and public data into a single environment, helping firms structure and use their information more effectively across origination, execution and portfolio work.

By improving how data is connected and accessed, Deal Engine supports better prioritization, more consistent decision-making and more efficient use of team time.

To learn more about how Deal Engine can support your data and AI strategy, get in touch to arrange a demo.