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Live automation impact run

Lix

Explore potential AI-driven changes across Lix's workforce. Below our AI Analyst approximates their organizational composition and maps identified roles to occupational standards. Allowing us to estimate automation and augmentation opportunities for different positions.

While these are indicative projections rather than precise measurements, they're grounded in real-world data: task-level usage patterns from Claude interactions analyzed in Anthropic's Economic Index.

Potential workforce impact score
3737%
  • Automation19%
  • Augmentation17%

Workforce impact

Estimated via AI

8 cited sources

Lix is a bootstrapped B2B SaaS startup specializing in LinkedIn contact intelligence and data enrichment. Operating with approximately 7 employees from London, UK, the company provides two primary products: (1) Lix-IT browser extension for exporting LinkedIn search results with email enrichment, and (2) a Professional Data API for developers to integrate LinkedIn data at scale. The company leverages robotic process automation (RPA), natural language processing (NLP), and AI to extract and validate B2B contact data from LinkedIn's 800M+ professionals and 4M+ companies. Lix serves major enterprise clients including McKinsey, LEK Consulting, Gartner, Samsung, and TrendMicro. Founded in 2016 by Adil Karim (CEO) and Alfie Lambert (Head of Product & Growth), the company operates profitably without external venture funding. The workforce is concentrated in product/engineering (43%), with leadership (29%) and customer-facing roles (28%) comprising the remainder. As a micro-SaaS company, Lix demonstrates high automation exposure across its small team, with software developers particularly positioned to benefit from AI augmentation in code generation, testing, and API development tasks.

AI Estimate3/9/2026

Biggest Exposure

Company-wide exposure
21 people covered
Auto 19% · Aug 17%

Augmentation Lift

Augmentation readiness
21 people covered
Aug 17% across mapped workforce

Manual Load

Manual workload pockets
21 people covered
Manual 63% across mapped roles
Workforce estimate: 7Last updated 3/9/2026, 2:09:16 PM

Analyst narrative

Thinking

The user wants me to analyze the company "Lix" and create a detailed workforce analysis report. Let me start by gathering information about this company.

I need to:

  1. Search for basic information about Lix (what they do, size, location)
  2. Determine their workforce size
  3. Map their organizational structure
  4. Identify roles and map them to O*NET codes
  5. Call the appropriate tools to get automation/augmentation data
  6. Build the complete report and call org_report_finalizer*

Let me start with broad searches about Lix to understand what kind of company it is. I'll need to be efficient and use parallel searches where possible.

Starting with context gathering - I should search for:

  • Basic company information about Lix
  • Workforce/employee size
  • What industry they're in
  • Their products/services

Let me start broad and focused.

I'll analyze Lix and build a comprehensive workforce automation impact report. Let me start by gathering information about the company.

SearchedLix company

10 results

SearchedLix employees headcount

10 results

SearchedLix technology product

10 results
Thinking

Based on the search results, I've identified several companies named "Lix":

  1. Lix (lix-it.com) - B2B Contact Intelligence company based in London, UK. This is a leading B2B intelligence technology company that leverages RPA & AI to provide LinkedIn data extraction and enrichment services. According to Crunchbase, this company has 1-10 employees (also confirmed by 6sense). They work with major clients like McKinsey, LEK, Gartner, Samsung, etc.

  2. Lix Technologies - An educational software company based in Aarhus, Denmark. According to LinkedIn, they had 11-50 employees but appears to have shut down (LinkedIn post from 2022 says "we have been unable to build a business model").

  3. Lix (lix.systems) - An open-source Nix package manager variant maintained by volunteers.

  4. LIX, Inc - Pet wellness company

  5. Lithium-X Energy Corp - Mining company

  6. Lixtec - Radar sensor company

Given the context and the primary online presence at lix-it.com, the most likely target is Lix - the B2B Contact Intelligence company headquartered in London, England, UK.

Key facts about this Lix:

  • Industry: B2B SaaS, Sales Intelligence, Data & Analytics
  • Headquarters: London, England, United Kingdom
  • Headcount: 1-10 employees (Crunchbase), specifically noted as having "1-10" employees
  • Product: LinkedIn data extraction, contact intelligence, AI-powered email finder, browser extension
  • Clients: McKinsey, LEK, TrendMicro, Gartner, Samsung

This is a TINY company (<50 employees, likely around 5-8 employees based on the 1-10 range).

I should search for more specific information about the team structure and roles, then build out the organization structure according to the TINY company rules:

  • L0: Owner/Manager (1 node)
  • L1: 2-4 functional areas (or skip if <10 employees)
  • L2: Individual roles with O*NET codes
  • Minimum nodes: 3-10*

Let me search for more details about the team structure and any recent information.

SearchedLix lix-it.com team founders London

10 results

SearchedLix LinkedIn intelligence about us

10 results

SearchedAlfie Lambert Lix founder

10 results
Thinking

Excellent! I now have a clear picture of Lix. Let me consolidate what I've learned:

Company: Lix (LIX Limited) Website: lix-it.com Headquarters: London, England, United Kingdom Legal address: 98 Bramley Road, London, N14 4HS, UK Company Number: 10270802 Founded: 2016 (Tracxn), 2020 (per Alfie's LinkedIn shows he started in Nov 2020) Founders:

  • Adil Karim (Co-founder)
  • Alfie Lambert (Co-founder | Head of Growth / Director)

Size: 1-10 employees (confirmed by multiple sources: Crunchbase, 6sense) Industry: B2B SaaS, Sales Intelligence, Contact Intelligence, AI/ML, Data & Analytics Product: LinkedIn data extraction tool (browser extension + API) that provides:

  • LinkedIn contact/profile data extraction
  • AI-powered email finder (98% accuracy)
  • Company data enrichment
  • Organization charts
  • Real-time B2B intelligence

Clients: McKinsey, LEK, TrendMicro, Gartner, Samsung, Adani, and other Fortune 500 companies

LinkedIn followers: 278 followers on company page (per latest data)

Given this is a TINY company (1-10 employees, likely around 5-8 based on the range), I need to build a minimal but realistic structure. Let me estimate the actual headcount and roles:

For a B2B SaaS startup at this stage with 1-10 employees, the typical structure would be:

  • 2 Co-founders (Adil Karim & Alfie Lambert)
  • 2-3 Software Developers/Engineers (building browser extension, API, backend)
  • 1-2 Sales/Customer Success (handling enterprise clients)
  • 0-1 Marketing/Content (blog posts, content marketing)
  • Possibly 1 Operations/Support

Given they serve major enterprise clients (McKinsey, Samsung, etc.) and have a sophisticated API product, I'd estimate they have around 6-8 people total. Let me be conservative and estimate 7 employees.

According to TINY company rules:

  • L0: Owner/Manager (1 node)
  • L1: 2-4 functional areas (or skip if <10 employees) - I'll create 3 functional areas
  • L2: Individual roles with O*NET codes
  • Minimum nodes: 3-10*

Structure: L0: Executive Leadership (2) L1:

  • Product & Engineering (3-4)
  • Sales & Customer Success (1-2)
  • Operations & Support (1)

Now I need to search for any additional specific information about team size or roles before finalizing.

SearchedAdil Karim Lix co-founder

10 results

Searched"Lix" "lix-it.com" team size 2025 2026

3 results
Thinking

Good! I've confirmed:

  • Adil Karim = Co-founder & CEO of Lix
  • Alfie Lambert = Co-founder, Head of Growth/Product & Growth Lead
  • One colleague mentioned: Nusret Ali (per ZoomInfo)

So I have at least 3 confirmed people. Given the 1-10 employee range and that they serve major enterprise clients (McKinsey, Samsung, Gartner), have both a browser extension AND an API product, I'll estimate around 7 employees total.

Typical structure for a 7-person B2B SaaS startup:

  1. Adil Karim - CEO/Co-founder
  2. Alfie Lambert - Co-founder, Head of Product & Growth
  3. 2-3 Software Developers/Engineers (backend, API, browser extension)
  4. 1 Sales/Customer Success (handling enterprise accounts)
  5. 1 Support/Operations
  6. Maybe 1 more developer or growth/marketing person

This fits the TINY company profile. Let me now map these to ONET codes and build the structure.

ONET Role Mapping:

  • CEO/Co-founders → 11-1021.00 General and Operations Managers
  • Software Developers → 15-1252.00 Software Developers
  • Sales/Customer Success → 41-3099.00 or 13-1161.00 (Market Research Analysts and Marketing Specialists) or 13-1199.06 (Online Merchants) - Actually better: 41-3031.01 Sales Agents, Securities and Commodities OR 41-4012.00 Sales Representatives, Wholesale and Manufacturing
  • Support → 43-4051.00 Customer Service Representatives

Given the size, I'll create a simple hierarchy: L0: Leadership (2) L1:

  • Product & Engineering (3)
    • Customer Success & Operations (2)

Let me now proceed to get the ONET data.

Now I'll get the ONET automation/augmentation data for the roles identified:

O*NET high-level summary4 matched · 1 unmatched
General and Operations Managers
Management11-1021.00
17 tasks
Customer Service Representatives
Office and Administrative Support43-4051.00
15 tasks
Sales Representatives, Wholesale and Manufacturing, Except Technical and Scientific Products
Sales and Related41-4012.00
20 tasks
Market Research Analysts and Marketing Specialists
Business and Financial Operations13-1161.00
13 tasks
Could not match some roles
  • Software DevelopersTry: Software Developers, Applications, Software Developers, Systems Software
O*NET high-level summary1 matched · 0 unmatched
Software Developers, Applications
Computer and Mathematical15-1132.00
15 tasks

Perfect! Now I have all the data I need to build the complete report. Let me finalize the organizational structure and call the org_report_finalizer:

Final organisation automation report