How Alpaca Real Estate turned 600+ deals and 4,000+ comps into actionable insights with Intapp DealCloud
Real Assets
Intapp DealCloud
Challenge
Manual processes slowed decision-making
With the Federal Reserve midway through its rate hike cycle, real estate private equity firm Alpaca Real Estate identified a critical opportunity in the commercial real estate (CRE) market. Projecting a pause that would create a window for new strategies, the firm sought to implement advanced technology that would help it outperform legacy institutions and capitalize on niche asset classes in Tier 1 markets.
To execute its strategy, Alpaca Real Estate decided to build proprietary base infrastructure to curate its deal sourcing process. The firm’s existing processes pulled information from multiple sources — an inefficiency that required manual effort and increased the risk of human error. Without a single, centralized platform, key insights were harder to access in real time, making it more challenging to evaluate opportunities quickly and confidently.
To unify its deal data, automate data capture, and provide real-time, AI-powered insights, Alpaca Real Estate selected the Intapp DealCloud deal management platform. By partnering with Intapp and modernizing its approach, the firm has boosted its efficiency, decision-making, and ability to capitalize on every opportunity.
Results
Streamlined processes drive faster decisions and stronger outcomes
With DealCloud, Alpaca Real Estate has transformed its investment processes by standardizing the evaluation of more than 600 deals across three strategies: distressed trophy multifamily preferred equity, suburban townhome forward purchases, and last-mile industrial logistics. The team has captured more than 4,000 comparable transactions in a structured, searchable format, greatly improving data accessibility.
Enhanced pipeline visibility has allowed Alpaca Real Estate to screen 625 deals, underwrite more than 400, advance more than 40 to diligence, and issue seven term sheets in just two years. The firm has also used DealCloud to accelerate investor communications — enabling faster, data-backed responses to capital partners — and leveraged the platform’s automation capabilities to eliminate manual mapping and reduce repetitive data entry.
In addition to harnessing a comprehensive, trusted data foundation in DealCloud, Alpaca Real Estate is also unlocking the power of Applied AI via Intapp’s AI Prompt Studio. This feature delivers concise, actionable summaries to help the firm’s deal teams optimize execution. DealCloud’s bi-directional APIs also let the firm seamlessly connect to mission-critical systems and information without having to build custom tools.
- 600+ deals with standard evaluation
- 4,000+ comps captured in a structured, searchable format
- 250 – 300 key data points defined per deal
- 100% of transactions (closed and otherwise) captured and tracked in a centralized system
“From the beginning, every single transaction we’ve looked at has been captured in the same way. Now we have a robust data lake that not only helps us make better decisions but also keeps us disciplined and transparent with our investors.”
Peter Weiss
Co-Founder, Alpaca Real Estate
Solutions
DealCloud delivers standardized framework, robust data lake, and pipeline visibility
With DealCloud, Alpaca Real Estate was able to build a standardized framework to capture 250 – 300 data points for every deal. Using DealCloud’s automated offering memorandum (OM) extraction, deal information is entered in a clean and consistent format, creating a robust data lake that now houses more than 600 deals and more than 4,000 comps. The team is constantly updating opportunities with new information as deals progress for an up-to-date view.
By establishing a seven-stage pipeline and leveraging features like mapping, Intapp Assist, and Intapp AI Prompt Studio, Alpaca Real Estate has streamlined its underwriting process, improved data accuracy, and accelerated decision-making — all while ensuring that DealCloud reflects the team’s evolving investment views.
