Inteliqx, Inc.
Inteliqx | Revenue Intelligence for Private Equity Due Diligence We're building machine learning-powered revenue intelligence specifically for private equity firms conducting due diligence on B2B SaaS and software companies. THE PROBLEM: PE teams have 60-90 days to assess whether a target company's revenue is real, sustainable, and growing for the right reasons. Traditional analysis means weeks in Excel, manually analyzing customer data, and still missing non-obvious patterns that predict post-acquisition performance. OUR SOLUTION: Automated pattern detection that does in minutes what currently takes analysts days. We connect to target companies' CRMs and apply machine learning to detect: → Hidden customer risks → Churn patterns → Revenue quality indicators (discounting trends, contract anomalies) → Predictive churn risk scoring → Growth sustainability analysis Instead of weeks building pivot tables, PE analysts get comprehensive revenue intelligence reports with Next Best Action recommendations. STAGE: Currently in stealth mode, working with select PE firms in private beta. Launching publicly in 2025. FOUNDER: Built by Shefali Korke, former strategy lead at Dell EMC and RSA Security with 15+ years building revenue analytics platforms for enterprise software companies. Industries: Private Equity | Financial Services | Software Development | Due Diligence
Newtonville, Massachusetts, United States
Venture Capital and Private Equity Principals
—
—
No verticals classified
Fintech, Private Equity, Revenue Intelligence, SaaS Analytics, Machine Learning, Algorithms, AI, Due Diligence, Revenue Quality Assessment, CRM data analysis
—
—
1
2023
software · revenue intelligence, machine learning, due diligence software, financial technology
—
Prospects
No prospects linked to this account.
Outreach History
Outreach sequencing tables are not yet in Supabase.