Fiber AI: Fresh Data APIs Powering AI Sales Teams

In the modern AI economy, data freshness is no longer a “nice to have” — it is the foundation on which effective products are built. Fiber AI emerged from this reality as a B2B data API provider designed specifically for AI-driven sales, recruiting, and growth products that require real-time, accurate, and cost-efficient data at scale. Founded in 2023 and part of Y Combinator’s Summer 2023 batch, Fiber AI is headquartered in San Francisco and operates with a focused team of eight.

At its core, Fiber AI delivers live, continuously refreshed data across more than 40 million companies, 850 million people, and 30 million job listings. Rather than selling static datasets that age the moment they are delivered, Fiber AI positions itself as a live data infrastructure layer. This distinction is critical for AI agents, outbound automation tools, recruiting platforms, and GTM systems that rely on up-to-date signals rather than stale snapshots.

By offering APIs, webhooks, bulk search capabilities, and real-time enrichment, Fiber AI aims to replace fragmented data stacks with a single, reliable source of truth — at a fraction of the cost charged by traditional data brokers.

What Problem Is Fiber AI Solving for AI Sales and Recruiting Teams?

The data ecosystem for B2B sales and recruiting has long been dominated by expensive, rigid vendors that force companies to overpay for bulk datasets they neither fully use nor fully trust. Platforms like People Data Labs, Cognism, CoreSignal, and Crustdata often require contracts in the range of $20,000 to $40,000 per month, regardless of how much data is actually consumed.

For product builders, this model creates multiple problems. Bulk datasets must be ingested, cleaned, deduplicated, normalized, and rebuilt into a usable search experience. For teams trying to move fast, this adds months of engineering work before value can be delivered to end users. Worse, the data itself often becomes outdated quickly, especially in fast-moving labor markets or high-velocity sales environments.

Contact data presents an even bigger challenge. Emails and phone numbers are frequently stale, unverified, or recycled across vendors. The result is high bounce rates, wasted outreach spend, damaged sender reputation, and poor user trust. Most enrichment tools charge premium prices while offering limited guarantees around data accuracy.

Fiber AI was built as a response to these systemic inefficiencies, aiming to give teams only what they need, when they need it, without forcing them into bloated contracts or brittle data pipelines.

How Does Fiber AI’s Bulk API Search Change the Way Products Are Built?

One of Fiber AI’s defining features is its Bulk API Search, which allows builders to integrate uncapped, advanced search functionality directly into their products. Instead of downloading massive datasets and recreating search logic internally, teams can query live data across companies, people, and jobs in real time.

This approach fundamentally changes how AI-powered tools are architected. AI SDR platforms, recruiting pipelines, ICP builders, and TAM analysis tools can all rely on Fiber AI as an embedded data engine rather than a background dependency. Advanced filtering enables precise segmentation by firmographics, technographics, hiring activity, headcount changes, and more.

Because these searches are uncapped and priced up to ten times cheaper than competing bulk data providers, Fiber AI removes both technical and financial barriers to experimentation. Product teams can iterate faster, test new features, and scale usage without worrying that costs will spiral out of control as adoption grows.

Why Are Fiber AI’s API Endpoints Different From Other Data Providers?

Beyond pricing and freshness, Fiber AI differentiates itself through novel API endpoints that are not available from most legacy data vendors. These endpoints are designed with AI agents and automation workflows in mind, rather than manual human enrichment.

One such capability is reverse email lookup, which allows teams to map a work or personal email back to an individual. This is particularly valuable for CRM enrichment, inbound lead processing, and identity resolution across systems. Fiber AI also supports searching for people or companies using partial or incomplete information, enabling AI systems to operate effectively even when inputs are noisy or fragmented.

Another standout feature is the ability for AI agents to build comprehensive prospect lists by aggregating signals from more than 100 data sources. Instead of relying on rigid query logic, agents can dynamically assemble and refine target audiences based on evolving criteria.

Fiber AI also offers real-time LinkedIn company and people data fetching, giving products access to fresh employment, role, and organizational signals without waiting weeks for batch updates. Together, these endpoints allow builders to create experiences that feel intelligent, adaptive, and current.

How Fresh Is Fiber AI’s Data Compared to Traditional Vendors?

Data freshness is one of Fiber AI’s strongest claims — and one of its most measurable advantages. Company data is refreshed every two to three weeks, ensuring that firmographic and structural changes are reflected quickly. Job data is updated every two to three days, capturing hiring signals while they are still actionable. People data is refreshed every one to two months, significantly faster than many legacy providers.

This cadence is especially important for outbound sales and recruiting use cases, where timing determines outcomes. Reaching out to a prospect who changed roles three weeks ago is far more effective than relying on a dataset last updated six months earlier. For recruiting platforms, fresh job and employment data enables proactive candidate sourcing rather than reactive searches.

By treating data as a live system rather than a static asset, Fiber AI aligns itself with the operational realities of AI-driven workflows.

What Types of APIs and Data Does Fiber AI Offer?

Fiber AI’s platform spans a wide range of APIs designed to cover the full lifecycle of B2B data usage. These include company data APIs for firmographics, headcount, funding, revenue, and technographics, as well as people data APIs for contact discovery and enrichment.

Email and phone APIs allow teams to find, verify, and enrich contact information at scale, including work emails, direct dials, and mobile numbers. Reverse email lookup and contact enrichment APIs support CRM workflows and lead scoring systems. Email and phone verification APIs provide confidence in deliverability and reachability, reducing wasted outreach.

Jobs data APIs surface open roles, hiring signals, and job posting trends, while real-time LinkedIn data APIs enable live access to company and profile information. Bulk search endpoints unify these capabilities, allowing teams to build powerful internal and external search experiences without stitching together multiple vendors.

How Does Fiber AI Support AI-Driven Sales and Recruiting Use Cases?

Fiber AI is designed specifically for teams building AI-native products. AI SDR and BDR platforms use Fiber AI to power prospecting, lead enrichment, and outbound automation. Recruiting tools rely on its people and jobs data to source candidates, identify hiring signals, and enrich applicant profiles.

Growth and RevOps teams use Fiber AI to build dynamic audiences for account-based marketing and sales. These audiences continuously update based on defined criteria, automating workflows that were previously handled manually through tools like Clay or Persana. Intent-based targeting allows teams to trigger outreach when companies exhibit relevant signals, putting go-to-market strategies on autopilot.

Because Fiber AI’s APIs are affordable and uncapped, they enable experimentation at scale — a critical requirement for AI systems that learn and improve through iteration.

Why Do Teams Choose Fiber AI Over Other Data Vendors?

Cost efficiency is one of the most visible reasons teams migrate to Fiber AI. The platform is up to ten times cheaper than bulk data providers and data brokers, and up to four times cheaper than contact enrichment tools. Unlike many competitors, Fiber AI also offers a 0% email bounce guarantee, refunding instantly if a verified email fails.

However, price alone does not explain the switch. Teams also choose Fiber AI for its breadth of coverage, spanning tens of millions of companies and hundreds of millions of contacts sourced from over 100 providers, including LinkedIn, Crunchbase, and BuiltWith. The ability to replace multiple vendors with a single API simplifies architecture and reduces operational overhead.

Freshness, novel endpoints, and AI-friendly design further distinguish Fiber AI from incumbents that were built for a pre-AI era.

Who Is Behind Fiber AI and What Experience Do They Bring?

Fiber AI is led by co-founders Adi Agashe and Neel Mehta, both of whom bring deep experience in product development, technology, and entrepreneurship. Together, they are three-time global bestselling authors of “Swipe to Unlock,” “Bubble or Revolution?”, and “Product Management’s Sacred Seven,” books translated into 11 languages.

Adi Agashe serves as CEO and previously spent five years as a Product Manager at Microsoft, where he worked on Azure’s hybrid revenue growth. He is also a Cornell University graduate in computer science and a Rawlings Scholar, placing him in the top 1.5% of his class. Before Fiber AI, he built a profitable seven-figure e-commerce business.

Neel Mehta, Fiber AI’s CTO, is a former Google APM who later became a Product Manager. He is a Harvard University graduate, finishing in the top 5% of his class as a John Harvard Scholar, and also built a profitable seven-figure e-commerce business. Together, their combined background reflects a rare mix of technical depth, product intuition, and execution discipline.

What Role Does Fiber AI Play in the Future of AI-Powered Go-to-Market?

As AI agents increasingly take on responsibility for prospecting, sourcing, and outreach, the importance of reliable, real-time data infrastructure will only grow. Fiber AI positions itself as a foundational layer for this future, enabling AI systems to reason over fresh signals rather than outdated assumptions.

By making high-quality data accessible, affordable, and programmable, Fiber AI lowers the barrier for innovation across sales, recruiting, and growth. Instead of spending resources managing data vendors and cleaning datasets, teams can focus on building differentiated features and delivering value to users.

In an ecosystem crowded with legacy providers optimized for human workflows, Fiber AI stands out as a data platform designed for machines — and for the teams building them.