Fiber AI GTM brain
Fiber AI supplies company, people, job and contact data APIs to builders of sales, recruiting and growth products.
category
B2B data APIsmarket profile
- text: AI sales and recruiting products need searchable, current company and people data embedded in their workflows.
- text: Fiber positions against established B2B data providers on data freshness, endpoint breadth and cost.
personas
- title: Head of Engineering, AI sales platformpains:
- Building searchable prospect data infrastructure diverts engineering time from the product.
- Stale records and expensive per-result economics degrade agent output and margins.
- title: Founder, recruiting softwarepains:
- Candidate matching needs granular people and job data integrated into the product.
- Inconsistent contact coverage makes candidate outreach less effective.
- title: Revenue operations leaderpains:
- Personal email signups and old CRM records are hard to identify and enrich.
- Failed or outdated contact data wastes prospecting capacity.
icp
- text: AI sales, recruiting and marketing software companies embedding people, company and job search into their products, from startups to enterprises.
- text: Growth or revenue teams with recurring CRM enrichment, prospecting or outbound data needs and technical integration capacity.
message pillars
- text: Use live data APIs to power sales agents.
- text: Identify people behind personal or work email addresses.
- text: Build agent-driven prospect lists from many sources.
objections
- objection: Will coverage and freshness match our market?response: Pilot representative accounts and contacts, comparing match rate and freshness with your existing provider.
- objection: Will data costs grow faster than product revenue?response: Model successful-call credits against projected search and enrichment volumes and evaluate bulk pricing.
- objection: Is integration too much work?response: Test the API, SDK or MCP surface against one workflow before migrating production traffic.
competitors
- name: People Data Labswhy: People and company data APIs for embedded enrichment and search.
- name: Crustdatawhy: Company and people intelligence APIs compete for live data workloads.
- name: Apollowhy: Contact data and prospecting compete for sales intelligence budgets.
- name: ZoomInfowhy: B2B contact and company intelligence is an established alternative.
influencers
- name: Adi Agasheurl: https://www.fiber.ai/aboutwhy: Co-founder and CEO, visible spokesperson for the product.
- name: Neel Mehtaurl: https://www.fiber.ai/aboutwhy: Co-founder and CTO, relevant technical voice.
keywords
- B2B data API
- people search API
- company data API
- reverse email lookup API
- recruiting data API
- verified contact enrichment
- job postings API
voice
- Direct and technical
- Competitive and cost-conscious
- Builder-oriented
signals
- text: A company is launching an AI SDR or recruiting product requiring embedded people search.
- text: A growth team is replacing an expensive provider or enriching a growing CRM.
stack
- REST API
- MCP
- TypeScript SDK
- Python SDK
- webhooks
pricing
model: usage
starting price: $300/month for 15,000 credits
motion
hybridchannels
- SEO
- developer documentation
- YC launch
confidence
highFounders
- name: Adi Agashetitle: Founderrole: Founderbio: CEO of Fiber AI. 3-time global bestselling author of "Swipe to Unlock," "Bubble or Revolution?", and "PM's Sacred Seven" which have been translated into 11 languages. Prev. built a profitable 7-figure e-commerce business, and spent 5 years as a Product Manager at Microsoft growing Azure hybrid revenue. Graduated from Cornell University (computer science) as a Rawlings scholar (top 1.5%).
- name: Neel Mehtatitle: Founderrole: Founderbio: Neel is the CTO at Fiber AI and a former APM (later PM) at Google. He is also the three-time bestselling author of "Swipe to Unlock," "Bubble or Revolution?", and "Product Management's Sacred Seven;" he then built a profitable 7-figure e-commerce business. Neel graduated in the top 5% of his class at Harvard University, where he studied computer science and was a John Harvard Scholar.