Factory downtime costs the global manufacturing industry €1.21 trillion annually—a 319% increase since 2019 as supply chains grow more complex and energy prices rise. Zurich-based Cerrion raised €15.6 million ($18M) Series A led by Creandum to scale AI video agents that transform existing factory cameras into intelligent production monitors.

The funding comes amid escalating pressure on manufacturers to reduce unplanned downtime while managing rising operational costs. Traditional monitoring relies on human operators watching dozens of screens or reactive maintenance after problems occur—creating blind spots that lead to cascading failures.

Mem0 raised $24 million across seed and Series A rounds to build the memory layer that AI agents currently lack, with API calls surging from 35 million in Q1 to 186 million in Q3 2025 as developers adopt production-ready personalization infrastructure.

The YC-backed startup tackles a fundamental limitation holding back agentic AI deployment: even sophisticated models forget everything between interactions, forcing users to repeatedly provide context and watch agents suggest the same rejected patterns. This “digital amnesia” creates friction that undermines the promise of truly intelligent, personalized AI experiences.

Benchmark has led an $85 million Series B round in Exa Labs at a $700 million valuation, betting that the next wave of AI infrastructure will be purpose-built for agents, not retrofitted from human-centered systems.

This timing reflects a fundamental shift: as AI agents become the primary interface between enterprises and web-scale data, the search infrastructure powering these interactions has become a critical bottleneck. Exa’s neural search architecture delivers sub-450ms latency with zero data retention, addressing the dual enterprise demands of speed and privacy that traditional search engines can’t meet at agent scale.

Refold AI emerged from stealth with $6.5M in seed funding to tackle enterprise system integration through AI agents, addressing what the company calls the “integration tax” that costs enterprises billions annually in consultant fees and project delays.

The Bengaluru and San Mateo-based startup’s platform deploys autonomous agents to write, test, and maintain complex enterprise integrations—work traditionally requiring armies of billable-hours contractors from firms like Accenture and Infosys.

The Enterprise Integration Bottleneck

Enterprise system integration represents a massive operational bottleneck where companies spend months and six-figure budgets connecting disparate software systems. The traditional approach relies heavily on human consultants who manually map data flows, write custom code, and maintain integrations as systems evolve.