Potpie AI raised $2.2 million to build structured context layers that allow AI agents to operate effectively across enterprise-scale codebases exceeding 40 million lines of code.

The infrastructure gap isn’t computational power—it’s organizational memory. While large language models excel at code generation, they struggle to maintain context across complex, interconnected systems where critical knowledge lives in senior engineers’ heads and context spans dozens of tools and millions of lines of legacy code.

Deepfake-related fraud caused $1.56 billion in losses in 2025 alone, with generative AI predicted to enable up to $40 billion in US fraud losses by 2027. As AI agents increasingly interact with multimedia content across enterprise workflows, synthetic content detection has become a critical infrastructure bottleneck blocking secure autonomous deployment.

Resemble AI’s $13 million strategic funding round, backed by Google’s AI Futures Fund, Sony Innovation Fund, and Okta Ventures, signals enterprise recognition that real-time deepfake detection infrastructure is no longer optional—it’s foundational for production AI agent security.

Portkey raised $15 million in Series A funding led by Elevation Capital, with participation from Lightspeed, to scale its unified control plane for production AI. The company now processes 500 billion tokens daily across 24,000+ organizations, managing $180 million in annualized AI spend—highlighting the infrastructure chasm that has emerged as AI transitions from experimental tool to business-critical system.

The timing reflects an industry inflection point where AI adoption has outpaced operational maturity. Companies are running mission-critical functions like customer support, underwriting, and coding on infrastructure originally designed for prototypes, creating reliability and governance gaps that traditional cloud platforms weren’t built to address.