The due diligence agent analyzes public reviews, social feedback, complaints, app-store data, competitor benchmarks, and location-level sentiment to evaluate brand health and operational risk. It reveals product weaknesses, regional issues, regulatory red flags, pricing sensitivity, and switching triggers. Investors, PE firms, and strategy teams receive an evidence-backed qualitative diligence layer that strengthens financial and market analysis.
The due diligence agent is an AI workflow that evaluates brand health and operational risk by analyzing public reviews, social discussions, complaints, marketplace ratings, competitor data, and location-level sentiment.
The due diligence agent aggregates reviews, social comments, forum discussions, call center complaints, warranty claims, chatbot transcripts, surveys, and UGC. It cleans, standardizes, translates, and sentiment-tags every item to build a unified qualitative dataset for investment analysis.
The due diligence agent detects recurring patterns such as manufacturing defects, safety concerns, packaging failures, delivery delays, incorrect listings, feature gaps, and customer support shortcomings.
Yes. The due diligence agent benchmarks customer sentiment, rating stability, feature competitiveness, price–value alignment, and switching triggers against category competitors.
The due diligence agent flags safety complaints, fraud mentions, SKU-level failure clustering, material integrity issues, and spikes in returns that signal rising risk or erosion of brand trust.
Yes. The due diligence agent highlights underpenetrated customer segments, emerging need states, category gaps, feature demand, and CX improvements that can create measurable value.
The due diligence agent generates investment risk digests, brand health reports, SKU-level diagnostics, and category opportunity maps with prioritized recommendations, risk scoring, customer evidence, and expected impact.