CASE-02.LSLIFE SCIENCES

AI-Powered Due Diligence Automation

Leading Life Sciences Real Estate Company

Timeline

4 WEEKS

Impact

50% FASTER

Scale

700+ FACILITIES

AI StrategyRapid Prototyping
OVERVIEW // REF_001

This leading life sciences real estate company manages a portfolio of 700+ specialized facilities. Their investment team was spending 60% of their time on manual data gathering rather than strategic analysis, creating bottlenecks in their acquisition pipeline.

THE CHALLENGE

Manual analysis of tenant data across 700+ facilities was creating significant delays in investment decisions. Research teams spent weeks gathering and synthesizing information from multiple sources.

OUR APPROACH

A focused 4-week AI strategy and prototyping sprint to validate the business case and deliver a proof-of-concept for automated data synthesis.

SOLUTION DETAILS // REF_002

What We Delivered

01

Mapped existing due diligence workflows and identified automation opportunities

02

Built AI agents to automatically gather and synthesize tenant information

03

Created structured data extraction from unstructured documents

04

Developed a unified dashboard for investment team review

05

Validated accuracy against manual research benchmarks

KEY RESULTS // REF_003

Measurable Impact

50% reduction in research and analysis time

Automated cross-source data synthesis

Green light for full production solution

Improved accuracy in tenant analysis

TECHNOLOGIES USED:
GPT-4LangChainDocument AIReactPostgreSQL
"The prototype Astellent delivered in 4 weeks gave us confidence to invest in a full production solution. Our analysts can now focus on what they do best—making investment decisions."

Head of Research

Life Sciences Real Estate Company

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