Asset Manager

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Harver

Harver, co-founded by Barend Raaff in 2015, provides predictive hiring assessments — processing over 15M tests annually for clients like Netflix.

Harver

Raaff, along with co-founders Niels Hoven and Sander de Gans, launched the Amsterdam-based company to fix volume hiring. The founding thesis: traditional CV screening is a poor predictor of on-the-job performance for roles handling thousands of applicants. Harver built its platform to measure decision-making, language proficiency, and cognitive fit through simulated work scenarios, with early clients concentrated in European call centers and airline cabin-crew hiring. The platform now spans pre-application assessments, automated interview scheduling, and internal mobility modules. Deployment covers high-volume, customer-facing roles across contact centers, logistics, and hospitality, with confirmed enterprise accounts including Netflix, Booking.com, and Zappos. Harver operates a software-as-a-service model with integration into dominant applicant-tracking systems like Workday and SAP SuccessFactors, sitting upstream of the human review step. Geographic coverage includes the Netherlands, the United Kingdom, and the United States, with a growing roster of multinational clients running assessments across 40-plus languages. Headquartered in Amsterdam, with additional offices in New York and London, the firm is backed by venture capital — Insight Partners led a Series B round in 2020 that valued the company at roughly $100 million (per TechCrunch, 2020). The firm has since leaned into AI-based scoring and natural-language processing to broaden assessment types. In 2023, Harver released a conversational AI interviewer designed to automate early-stage candidate screening for high-volume pipelines. (per the firm, 2023). Structurally, Harver is an enterprise HR tech company rather than a staffing firm or talent marketplace. This matters: it sells to employers, not job-seekers. Its assessments generate a predictive score that feeds directly into the employer's workflow, sidestepping the recruitment-agency model entirely. The company competes with legacy assessment providers like SHL and newer entrants like Pymetrics, but its focus on end-to-end volume hiring — from initial assessment through offer — creates a distinct footprint in a fragmented sector.

General information

Firm type

Asset Manager

Year founded

2015

AUM

Undisclosed

Location

Region

Europe

Country

Netherlands

City

Amsterdam

Corporate office

Amsterdam, North Holland, Netherlands

Additional offices

New York, NY, United States · London, United Kingdom

Principals

Barend Raaff

CEO & Co-Founder

Niels Hoven

CTO & Co-Founder

Sander de Gans

VP of Product & Co-Founder

Sector focus

Enterprise SoftwareAI/MLHR Tech

Frequently asked questions

How does Harver's assessment model differ from a traditional online skills test?

Harver uses situational-judgment tests and work simulations rather than self-reported questionnaires or abstract psychometrics. A candidate for a customer-service role, for instance, might handle simulated chat interactions that measure language proficiency, decision speed, and empathy. The output is a predictive job-fit score that integrates into the employer's applicant-tracking system, automating the screening decision before a human recruiter is involved.

What does Harver's client roster look like — is it concentrated in any one vertical?

Publicly confirmed clients span contact centers, hospitality, airlines, and logistics. Netflix, Booking.com, and Zappos are among named enterprise accounts. The common thread is high-volume, attrition-prone hiring where traditional resume screening becomes a bottleneck — roles that can generate thousands of applicants per month.

Is Harver a recruitment agency or a technology vendor?

It is a technology vendor selling software-as-a-service directly to employers. Harver does not represent candidates, source talent, or charge placement fees. The company's revenue model is enterprise subscription and per-assessment licensing, making it a line-item in HR technology budgets rather than a variable recruiting cost.

Who invested in Harver and at what valuation?

Insight Partners, a New York-based software investor, led an equity round in 2020. While Harver itself did not disclose the sum, contemporaneous Dutch corporate filings and reporting by TechCrunch indicated a capital injection that valued the company at roughly $100 million. (per TechCrunch, 2020). No subsequent funding rounds have been announced.

How does Harver handle bias and compliance — do its assessments risk adverse impact under employment law?

The firm positions its assessments as a way to reduce bias relative to résumé screening, which can reflect name, school, and address signals. Harver states that its tests are built following guidelines from the International Test Commission and undergo validation against relevant job performance criteria. Specific adverse-impact studies are not publicly released, so independent verification is limited to individual client-validation exercises.

What integration ecosystem does Harver operate in?

Harver integrates with major applicant-tracking systems including Workday, SAP SuccessFactors, Oracle Taleo, Greenhouse, and SmartRecruiters. The platform sits inside the hiring workflow — a candidate applies, is invited to complete a Harver assessment, and the resulting score and report appear back in the ATS. This integration layer is central to its volume-hiring value proposition.

Does Harver compete with legacy assessment providers like SHL and newer AI firms like Pymetrics?

Yes, though the overlap is not exact. SHL and Aon's assessment units sell psychometric tests to broad corporate audiences, while Pymetrics and others use neuroscience-based games for early-career and diversity-focused screening. Harver differentiates by designing for the full hiring funnel in high-volume, front-line roles — combining language, cognitive, and situational elements in a single workflow, often without requiring a test-proctoring organization.

Profile maintained by using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.

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