Sapphire Ventures Partner Details AI Valuation Gap and 2026 IPO Outlook

Sapphire Ventures partner Anders Ranum discussed how growth equity investors are assessing AI companies amid public software multiples at decade lows and private AI valuations at record highs, according to Crunchbase News.

Ranum has spent nearly 15 years at Sapphire Ventures focusing on B2B enterprise software, security and industrial infrastructure. Before joining the firm he spent 12 years in product management and strategy at SAP. His recent investments include LangChain, WorkOS and Tractian.

Public-Private Valuation Signals

Public market software multiples have declined sharply as investors price in long-term AI disruption risk. Private market valuations for AI startups have reached record highs. Ranum stated the gap between these signals is unlike anything he has seen.

Gross margins, free cash flow and net revenue retention have improved at underlying companies. Ranum evaluates whether products are genuinely embedded in enterprise operations rather than relying solely on current metrics. He noted that net revenue retention remains relevant but functions as a lagging indicator.

M&A Activity and IPO Timeline

Software M&A deal value rose 40 percent year over year to $334 billion across 678 transactions in 2025, according to Crunchbase News. Sapphire Ventures recorded more than half a dozen acquisitions from its portfolio in the past six months.

Ranum expects 2026 to produce some of the largest IPOs ever, citing SpaceX going public, Anthropic filing and OpenAI reportedly preparing to file. Companies below that tier face a higher bar and may wait until 2027 or later. The secondary market provides additional flexibility during this period.

Shift to Evidence-Based AI Investing

Ranum described the current environment as a “show me” era. Investors require evidence of free cash flow, paths to profitability and actual AI monetization rather than claims of integration. He framed the opportunity as AI plus SaaS rather than a replacement of traditional software models.

Companies that demonstrate how AI changes how work gets done are positioned to meet the higher bar, according to Crunchbase News.