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TechWolf

TechWolf provides an enterprise data layer that unifies skills, work, and labor-market intelligence to help large organizations plan workforce transformation in the AI era. Its purpose-built AI models infer employee skills from real work activity, analyze tasks for automation potential, and map external hiring demand, delivering insights directly into existing HR systems like Workday and SAP.

Traction 10/10
Gent, Belgium · HQ
Founded 201815620K+ followers
  • HR Technology
  • Artificial Intelligence
  • Data & Analytics
  • Enterprise Software
  • Software Only
Updated 7 days ago

Funding

Raised to date

$42.8MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.

across 1 round

+7

$42.8M · Series B

Announced Jun 2024 · from article date

Disclosed cumulative: $42.8M

Founders

3 founders

Andreas De Neve

Gent, Belgium

Co-Founder & CEO

Since Mar 2020 · 6 yrs 8 mos

Profile summary: ML6 AI Eng. Intern

Jeroen Van Hautte

Gent, Belgium

Co-Founder & CTO

Since Sep 2018 · 8 yrs 2 mos

Profile summary: Cambridge MPhil Advanced Computer Science

Mikaël Wornoo

New York City, United States

Founder & President

Since Sep 2018 · 8 yrs 2 mos

Profile summary: TechWolf • Founder & President · BSc + MSc Computer Engineering at Ghent University

Product

Problem

Enterprise workforce information is fragmented across disparate systems, leaving leaders without a unified view of employee skills, how work is changing, or how labor-market demand is shifting. Static job architectures and self-reported skill profiles become outdated as AI changes tasks and roles, making it difficult to plan redeployment, upskilling, hiring, and AI adoption.

Solution

TechWolf connects skills, work, and labor-market information in an enterprise data layer that can be used within existing HR systems, analytics platforms, and AI agents. Its purpose-built AI models infer skills from actual work and HR data, creating an organization-specific view of employee capabilities rather than relying on static taxonomies or surveys. Work Intelligence breaks roles into granular tasks and assesses their potential for human work, AI augmentation, or automation. Market Intelligence compares internal capabilities with external hiring demand and labor supply. The combined data supports workforce planning, internal mobility, skills-based hiring, targeted upskilling, and decisions about where to apply AI.

Target Audience

TechWolf serves large enterprises, including F500 organizations, and is aimed at CHROs, HR transformation leaders, workforce planners, and business leaders responsible for workforce strategy, internal mobility, and AI transformation.

Features

  • Purpose-built AI models infer skills and map tasks, jobs, and capabilities from organizational work and HR data.
  • Work Intelligence ingests materials such as job descriptions, project logs, and tickets, decomposes roles into granular tasks, and forecasts AI impact.
  • Task-level automation assessments use the Stanford Human Agency Scale and classify work as human-led, augmentable, or automatable.
  • A manager verification loop collects feedback through Slack or Teams to validate inferred workforce data.
  • Market Intelligence analyzes more than 2 billion job postings across 200+ countries and regions, mapping market signals to an organization’s own skills and job taxonomy.
  • Continuously refreshed skills and market data can flow into Workday, SAP, Visier, Adaptive, other HR and analytics systems, and AI agents through integrations and APIs.
This profile is AI-generated and may contain inaccuracies.