Scrunch AI Raises $15M to Rebuild Internet Infrastructure for Agent Consumption
Scrunch AI secured $15 million in Series A funding to build infrastructure that makes the internet readable by AI agents, addressing a fundamental bottleneck where most enterprise websites remain inaccessible to autonomous systems.
The Salt Lake City-based company emerged from a market reality check: while AI agents proliferate across enterprise workflows, the underlying web infrastructure was designed for human browsers, not machine consumption. This creates a discovery and interaction barrier that Scrunch aims to eliminate through its Agent Experience Platform (AXP).
The Content Accessibility Bottleneck
More than 70% of Fortune 1000 websites prove difficult or impossible for AI crawlers to interpret, according to Scrunch’s analysis of tens of millions of prompts and citations across leading generative platforms. Traditional websites optimized for human visual consumption often deliver inefficient, unstructured content that AI systems struggle to parse and rank effectively.
The funding round, led by Decibel with participation from Mayfield, Homebrew, and strategic investors including TJ Parker (PillPack), Bryant Chou (WebFlow), and Clara Shih (Meta AI), validates the scope of this infrastructure challenge. Companies continue spending billions on traditional SEO strategies misaligned with how AI discovery works.
“Your website doesn’t need to go away, but 90% of its human traffic will,” said Chris Andrew, co-founder and CEO of Scrunch AI. “AI agents are becoming the new front door to your brand, and we’re building the infrastructure that helps you show up, stand out, and stay ahead.”
Dual-Layer Architecture Solution
Scrunch’s Agent Experience Platform enables brands to maintain existing websites for human users while delivering compressed, structured, machine-readable content specifically optimized for AI engines. This dual-layer approach eliminates the need for complete website redesigns while ensuring AI discoverability.
The technical architecture separates presentation from content consumption, allowing organizations to serve different data formats to different types of visitors. Human browsers receive traditional HTML interfaces, while AI crawlers access optimized, structured content that improves parsing efficiency and placement accuracy.
Early pilots demonstrate measurable infrastructure improvements. AXP users report average 40% increases in referral traffic and up to 4x improvements in visibility across generative platforms. The platform currently processes content optimization for over 500 brands, with 50% month-over-month growth in paying customers over the past three months.
Enterprise Validation and Market Adoption
The rapid customer acquisition validates enterprise demand for AI-native content infrastructure. Nearly all growth has come through inbound demand, suggesting market recognition of the optimization gap between traditional web architecture and AI consumption patterns.
Scrunch has also launched dedicated agency offerings designed for managing multiple brands and implementing optimization at scale. This B2B2B approach acknowledges that most enterprises lack internal expertise for AI content optimization, creating a service layer market above the core infrastructure.
“Scrunch has the unique advantage of having built the foundation first — collecting data, learning from real-world behavior, and shipping with speed,” said Jon Sakoda, Partner at Decibel. “They’re not just observing the AI shift. They’re helping brands rewrite the web for AI Agents.”
Infrastructure Market Implications
The funding positions Scrunch within a broader shift toward AI-native infrastructure layers. As generative search ecosystems expand beyond Google’s traditional dominance, brands face pressure to optimize for diverse AI platforms with different content consumption patterns.
The estimated $100 billion market opportunity reflects the scale of content optimization required across enterprise web presence. Unlike traditional SEO optimization focused on keyword ranking, AI optimization requires fundamental restructuring of how content gets packaged and delivered to machine consumers.
Looking Forward
The Series A capital will accelerate AXP development and broader deployment beyond current enterprise pilots. The platform’s focus on infrastructure rather than application-layer optimization suggests potential integration opportunities with existing content management and marketing technology stacks.
As AI agents become primary discovery mechanisms for enterprise services and products, the companies that adapt content infrastructure first gain competitive advantages in an increasingly agent-mediated economy. Scrunch’s approach of building the underlying pipes rather than competing on search capabilities positions it as infrastructure enabler rather than platform competitor.
The rise of AI-native content infrastructure reflects broader enterprise recognition that autonomous systems require different technical foundations than human-operated workflows. As organizations deploy more sophisticated AI agents for research, procurement, and decision-making, the infrastructure that enables these systems to effectively discover and consume web content becomes increasingly critical.
Modern orchestration platforms like Overclock complement this infrastructure layer by providing the execution environment where AI agents can act on the optimized content they discover, creating complete workflows from content discovery through automated action.