5 examples of how technology and connected data are transforming private equity dealmaking

Private equity firms are under more pressure than ever to source smarter, move faster, and prove their edge to LPs. The volume of available data has exploded, but that does not always make life easier for deal teams. In fact, it often slows them down.

What we are seeing instead is a wave of technology, AI, and connected data reshaping the way firms operate. Here are five real-world examples of how funds are already making measurable improvements.

---

1. Expanding market coverage and reducing deal FOMO

One GP told us they were finally confident they were not missing out. By using connected data to track their entire addressable market, they added dozens of new relationships in just two months. Larger firms saw similar gains. This proves that technology-driven coverage pays off whether you are running a lean team or a big platform.

---

2. Turning insights into conversations

With AI surfacing market signals, firms are uncovering an average of 161 actionable insights every month. These events, such as a leadership change, a funding round, or a product launch, become warm reasons to reach out. Instead of cold outreach, deal teams use technology to start timely, relevant conversations that build stronger relationships.

---

3. Keeping CRMs fresh and deal-ready

Static CRMs are fast becoming a thing of the past. By enriching institutional systems like DealCloud and SharePoint with tens of millions of live datapoints, firms ensure their data is always current. AI-powered enrichment stops teams wasting time on outdated records and ensures the next opportunity is always visible.

---

4. Meeting LP expectations on data and AI

LPs are asking tougher questions about firms’ digital maturity. GPs with connected systems can demonstrate clear progress. Internal and external data united in a single platform, innovation in sourcing and origination, and a credible foundation for scaling AI. It is not just about efficiency. It is about proving to stakeholders that the fund is future-ready.

---

5. Cutting workflows from days to minutes

The impact of automation is immediate. One firm reduced analyst time on banker lists from a full day to just 2 minutes. Another automated the hunt for comparable companies, freeing hours every week. These AI-driven efficiencies add up quickly, giving deal teams back time to focus on strategy, sourcing, and relationships.

---

The bigger picture

These examples show how technology, AI, and connected data are already transforming dealmaking. Broader coverage, warmer outreach, fresher data, LP-ready infrastructure, and faster workflows are becoming the new standard.

At Syfter, we have seen first-hand how firms are putting these ideas into practice. We have put together a one-pager with the highlights for you to check out.

Ready to give your deal teams a true advantage this busy season?

Book a demo of Filament Syfter today and see how we can help engineer your edge.