Problem

Fiber AI addresses the difficulty of finding reliable, actionable B2B data for sales prospecting, recruiting, and broader go-to-market operations. Teams need to identify the right companies and people, obtain usable work contact details, and assemble target audiences at scale, but traditional workflows often require multiple data vendors and manual handoffs. The killer use cases are building outbound sales pipelines and generating recruiting shortlists, where better data coverage and freshness directly determine how many prospects or candidates can actually be reached.

The economic pain is both operational and performance-related: teams pay for fragmented tools, risk spending on low-quality records, and lose revenue or recruiting efficiency when target contacts cannot be reached. Fiber’s emphasis on estimate-before-spend controls reflects the cost sensitivity of bulk data workflows, while a customer case study reports that its search capabilities increased the yield of prospects targetable for outreach by 40–50%.

Product / Service

Fiber AI is an agent-native B2B data platform that combines company and people search, profile enrichment, contact discovery, live LinkedIn snapshots, audience building, and bulk export. Users can start with structured filters or natural-language intent, enrich records with work emails, phone numbers, and profile data, then explicitly estimate, build, enrich, and export an audience. The same capabilities are available to humans and software through an API, MCP servers, and a first-party plugin for coding agents.

The product’s main benefit is consolidation and automation: customers can use one system rather than stitching together separate search, enrichment, and export vendors, while agents can inspect per-operation costs before making a charge. Fiber is therefore positioned not only as a prospecting database, but also as infrastructure that AI SDR tools, recruiting systems, signup flows, job boards, and internal GTM applications can call programmatically.

Market

Fiber competes in the B2B data and sales-intelligence market, with adjacent applications in recruiting data, enrichment infrastructure, and GTM operations. Its clearest competitive frame is against legacy data vendors and fragmented three-tool workflows; the company differentiates around agent-native documentation and interfaces, live data retrieval, self-serve access, and transparent per-call pricing. The available evidence does not establish a definitive named competitor set, but it indicates that Fiber is targeting teams that otherwise rely on conventional data providers and separate enrichment and export products.

Fiber appears to have moved beyond the pre-revenue stage. An Elasticsearch customer case study reports that the company surpassed $1 million in annual recurring revenue in less than six months after launch and had won customers including Ramp, DocuSign, Flatfile, Lumos, and Secureframe. The same case study reports a 40–50% increase in the yield of prospects targetable for outreach, while a startup directory lists Fiber as a New York-based, eight-person, Y Combinator-backed company, suggesting an early but meaningful commercial footprint.