Snowstone
Cerenovus provides an AI-driven operational analysis platform for private equity firms, consultants, and corporate management teams. The platform systematically reviews company-wide data—contracts, ledgers, emails, and reports—to identify root causes of inefficiencies and quantify value-creation opportunities. It has reviewed over $2 billion in transactions and can run 10,000+ analysis threads in parallel, delivering ranked findings within seven days.
- Data & Analytics
- Artificial Intelligence
- Enterprise Software
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Private equity firms, consultants, and corporate development teams must manually review financial records, contracts, and operational documents to identify risks and value-creation opportunities, a process that is slow, error-prone, and often misses connections across different data systems.
Solution
Cerenovus delivers an AI-driven analysis platform that systematically reviews a company's operating data—contracts, ledgers, tickets, emails, and reports—to surface the largest opportunities and issues across the entire business. The platform compares day-to-day operating data with reported figures, investigates related questions across systems, and attaches source documents and calculations to each finding so management can verify every answer. In practice, Cerenovus has reviewed over $2 billion in transactions, identified more than $50 million in value-creation opportunities, and can deploy over 10,000 concurrent analysis threads simultaneously. The platform targets completing in one week what traditionally takes months of sequential manual work, enabling faster due diligence, portfolio reviews, and integration decisions.
Target Audience
Primary users include private equity deal teams, investment committees, operating partners, portfolio company leadership, and operational consulting or transaction advisory firms.
Features
- Company-wide data analysis that ingests and cross-references contracts, ledgers, tickets, emails, and internal reports in a single engagement
- Finding-level traceability, with every answer linked to source documents and the calculations used to derive it
- Management-question workflow that lets executives ask questions in plain language and receive evidence-backed answers
- High-scale concurrent processing engine capable of running 10,000+ analysis threads simultaneously across client data estates
- Specialized engagement modules covering operational due diligence, value creation planning, value leakage analysis, portfolio performance review, and post-merger integration
- Root-cause analysis of KPI deviations, with each finding sized in EBITDA or cash impact and matched to a recommended fix