Powerful, AI-driven due diligence for private equity
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Who we serve
We are dedicated to serving private equity firms with their due diligence needs.
Discovery
Digestable, concise reports generated from the data room – making your analysts 47% more efficient.
Inconsistencies
Missing DataAcme's agricultural operations show below-average productivity due to reliance on outdated equipment and manual processes. The company has not adopted precision agriculture tools, resulting in inefficient use of water, fertilizer, and labor across its farms.
Data collection and analysis capabilities are minimal, preventing real-time decision-making around planting and harvesting. Without these insights, Acme cannot optimize yield or respond effectively to weather or soil variability.
Post-harvest logistics are fragmented, with a lack of in-house cold storage and reliance on third-party distribution. This leads to higher spoilage rates, delivery delays, and a mismatch between supply and demand.
Inventory management is reactive and not tied to forecasted market trends. As a result, Acme frequently experiences stockouts during peak periods and overproduction during slower months.
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SOC 2 (Pending)
We are in the process of getting our SOC 2 certification.
Chat
Explore data from your VDR and other sources using natural language.
Revise the main model in the vdr to include years 2026 and 2027.
model-revised.xlsxLet's add 2028 to it as well.
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