ElevenLabs

Let me analyze what I know about ElevenLabs and then gather additional information to build a comprehensive workforce automation impact report.

ElevenLabs is an AI voice technology company focused on text-to-speech and voice cloning technology. From my knowledge, they are a relatively young startup that has grown rapidly. They're likely a tech company with a focus on AI/ML research, product engineering, and business operations.

I need to:

1. Gather information about ElevenLabs' size, structure, and workforce
2. Map their organization into functions with O*NET codes
3. Estimate headcount distributions
4. Apply automation/augmentation shares
5. Call org_report_finalizer with complete data*

Let me start with parallel searches to gather context about the company size, structure, locations, and key departments.

Based on my searches, I've gathered good context about ElevenLabs:

Company Overview:

• Founded in 2022 by Piotr Dąbkowski (ex-Google ML engineer) and Mati Staniszewski (ex-Palantir deployment strategist)
• AI voice technology company specializing in text-to-speech, voice cloning, AI dubbing
• HQ in New York City (169 Madison Ave), with European HQ in London, and office in Warsaw, Poland
• Remote-first company with team spanning 30+ countries

Headcount Estimates (conflicting data):

• LinkedIn: 51-200 employees
• PlusVibe: 115 employees (as of recent date)
• RocketReach: 642 employees
• TrueUp: 500 people
• GetLatka: 580 employees
• PitchBook: 331 total employees
• Tracxn: 98 employees (Dec 2022 data - outdated)
• WebSets/Exa: ~120 employees mentioned

The most recent credible sources suggest around 500-642 employees. Given the company raised Series C funding at $3.3B valuation in Jan 2025 and hit $330M ARR, and considering rapid growth (190% employee growth mentioned), I'll estimate around 550-600 employees for my analysis.

Revenue:

• $330M ARR as of late 2025 (from CEO interview Jan 2026)
• $200M in Sept 2025
• Growing very fast

Funding:

• $3.3B valuation (Jan 2025, Series C)
• $282M+ total funding

Key Facts:

• Remote-first with hubs in NYC, London, Warsaw
• Research-focused company with strong engineering culture
• Initially mostly engineers/researchers, now building out sales, GTM teams
• Serves enterprises, creators, developers
• Products: Text-to-speech, Voice Agents, Dubbing, Music generation, Reader app

Likely Organizational Structure for a ~550-600 person AI startup: Given it's a fast-growing AI/ML company at this stage:

1. Research & Development (~40-45%) - Core AI research team, ML engineers, product engineers, backend/infrastructure
2. Engineering/Product (~25-30%) - Platform engineering, API, mobile, web
3. Go-to-Market (~15-20%) - Sales, marketing, customer success, partnerships
4. Operations (~10-15%) - Finance, HR, Legal, IT, Admin
5. Customer Support & Community (~5-8%) - Support teams, community management

I should search for more specific information about their job openings and team structure to validate this.

Based on all the searches, I now have a comprehensive picture of ElevenLabs:

Confirmed Company Profile:

• Founded: 2022
• Founders: Piotr Dąbkowski (CTO, ex-Google ML engineer) and Mati Staniszewski (CEO, ex-Palantir)
• HQ: New York City (169 Madison Ave)
• European HQ: London (largest employee hub, 100+ expected)
• Additional office: Warsaw, Poland
• Remote-first company spanning 30+ countries
• Latest funding: $180M Series C at $3.3B valuation (Jan 2025)
• Revenue: $330M ARR (end of 2025)
• Employee count: Most credible recent sources suggest 500-650 employees. I'll use 580 as the estimate (from GetLatka/recent data)

Company Stage: Medium-sized company (501-5,000 employees bracket) per my hierarchy rules

Organizational Insights:

1. Started very research-heavy (mostly engineers/researchers initially)
2. Now building out GTM functions (sales, marketing, customer success)
3. Mentioned a "small team of speech scientists and researchers" (~7 researchers mentioned in one source)
4. Building product, engineering, infrastructure teams
5. Hiring for: ML researchers, engineers (software, ML, audio, infrastructure), product managers, designers, sales, account management, developer relations, customer success, marketing, legal, compliance, ethics/policy
6. Remote-first with "lean team structures"
7. CEO stated they started with all engineers, no salespeople, then evolved to hybrid sales/engineering roles

Key Products:

• Text-to-Speech (Creative Platform)
• Voice Agents (Agents Platform)
• Dubbing Studio
• Reader App (mobile)
• Voice Marketplace
• Speech-to-Text (Scribe)
• Music generation (Eleven Music)

For a 580-person AI research + product company, I estimate:

LEVEL 0 - Executive Leadership (~10-15 people)

• CEO, CTO, CFO, COO, VP Engineering, VP Research, VP Sales, VP Product, VP Marketing, etc.

LEVEL 1 - Major Functions:

1. Research & AI Development (~120-140 people, 20-24%)

   • Core ML Research team
   • Applied AI/Model development
   • Data Science & ML Infrastructure

2. Engineering & Product (~200-240 people, 35-40%)

   • Platform Engineering
   • Product Engineering (Creative & Agents platforms)
   • Mobile Engineering
   • Infrastructure & DevOps
   • Product Management
   • Design

3. Go-to-Market (~90-110 people, 15-19%)

   • Sales (Enterprise, Mid-market, Self-serve)
   • Marketing (Product Marketing, Growth, Content, Community)
   • Customer Success & Support
   • Developer Relations

4. Operations & Support (~60-80 people, 10-14%)

   • Finance & Accounting
   • Legal & Compliance
   • People/HR
   • IT & Security
   • Business Operations

5. Trust & Safety (~10-20 people, 2-3%)

   • Content Moderation
   • Ethics & Policy
   • Security

Given the medium size (580 employees), I should create a hierarchy with 4 levels total:

• L0: Executive Team
• L1: Major Divisions (5-6)
• L2: Departments/Teams (2-4 per division)
• L3: Role categories with ONET codes

Total nodes target: 30-60 (I'll aim for 40-50)

Let me structure this properly and then call the ONET tools for automation/augmentation data.