Fiber AI 💡

The AI-powered outbound prospecting platform

Spotlight

What if every morning your sales team logged in to find their best leads already lined up?

Quick Pitch: Fiber AI helps sales teams find and reach the right leads fast. It automates prospecting, personalizes messages, and books meetings, saving hours of manual work and letting teams focus on closing deals.

The Problem

  • Limited Search: LinkedIn can’t surface scaling companies, fundraising signals, or hyper-local prospects.

  • Stale, Expensive Data: Most premium tools deliver outdated contacts and disconnected numbers—often at six-figure contracts.

  • High Bounce Rates: Poor validation ruins domain reputation and wastes outreach efforts.

Snapshot

  • Industry: Sales Intelligence & Automation

  • Headquarters: San Francisco, CA

  • Year Founded: 2023 (YC S23)

  • Traction: Growing weekly revenue; customers include Ramp, DocuSign, and Flatfile

  • Database: 40M+ companies | 850M+ contacts | 13M+ jobs

Founder Profiles

  • Adi Agashe, Co-Founder, CEO: Ex-Microsoft, Forbes 30 Under 30, former seven-figure e-commerce operator

  • Neel Mehta, Co-Founder, CTO: Ex-Google, Forbes 30 Under 30, deep GTM and data background

Funding

Revenue Engine

  • Model: Subscription + usage-based data access

  • Pricing Edge: Verified contacts at 4× lower cost than Clay, Apollo, or ZoomInfo

  • Customers: Enterprise sales, marketing, and recruiting teams running multi-channel outbound

What Users Love

  • Precision Targeting: Filters by headcount growth, fundraising, and education for laser-focused ICPs

  • 0% Bounce Guarantee: 16+ validator waterfall ensures verified emails and numbers

  • All-in-One Outbound: Export to LinkedIn, Google, Meta, email sequences, or Luma

Playing Field

  • ZoomInfo: Massive database but stale data and high prices.

  • Apollo: Affordable pricing but generic outreach.

  • Clay: Flexible but complex for non-technical users

Fiber AI's Edge: A vast, self-healing database with rigorous validation and a user-friendly interface.

Why It Matters

The $12B+ sales intelligence market still hasn’t solved the core issue: most sales reps say over half their leads are irrelevant. AI tools fail without precise targeting, and expensive data services can’t guarantee accuracy. Teams are shifting from broad automation to precision outreach—where quality and timing determine who gets the meeting.

What Sets Them Apart

  • Verified Data Infrastructure: Zero-bounce guarantee with industry-specific validation

  • Accumulating Advantage: Each export cleans and improves Fiber’s database

  • Real Traction: Weekly ARR growth and viral adoption

  • Founder-Market Fit: Built by operators solving their own problem

Analysis

Bulls Case 📈 

  • Strong weekly growth and path to seven-figure ARR

  • Enterprise adoption signals product-market fit

  • 0% bounce guarantee lowers adoption friction

  • Self-healing database builds defensibility

  • Experienced, credible founders

Bears Case 📉 

  • Competing with well-funded incumbents

  • Crowded market prone to consolidation

  • Reliant on third-party validator network

  • Must maintain cost edge as infrastructure scales

  • May lose technical users to Clay

Verdict

Fiber AI directly targets the weaknesses of incumbents—poor data quality and generic targeting. Its verified accuracy and filtering precision create clear differentiation. Execution in a competitive market remains the key challenge, but early traction and defensible technology position Fiber AI as a serious challenger in sales intelligence.

The Startup Pulse

  • Supabase — Open source Firebase alternative on Postgres. Raised $100M Series E at a $5B valuation (up from $2B four months ago); four million developers; $500M raised to date.

  • Oneleet — Raised $33M Series A to integrate security tools and automate compliance; funding will expand engineering, invest in artificial intelligence, and scale go to market.

  • OpenAI — Acquired Roi, a personal finance app powered by artificial intelligence; only its chief executive will join the company, supporting a push into personalized consumer products.

Written by Ashher

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