Dex raised $5.3M to source AI engineers for startups via an AI agent

London-based startup Dex has raised $5.3 million in seed funding to automate the hiring of AI engineers and other technical specialists. The company is betting on a no-subscription model: employers pay only when a candidate actually starts work.

How Dex Works

Dex was launched by Paddy Lambros, a former hiring advisor at Atomico. The product is structured as an AI agent for technical recruiting: a candidate starts with a conversation in voice or text format, and the system asks open-ended questions about their experience, motivation, career goals, and what type of company suits them. The agent, built on a combination of models from Google, Anthropic, and OpenAI, then shows relevant job openings from a curated database, helps explore the employer, compare market compensation, and prepare for interviews.

On the employer side, Dex uses what Lambros himself calls "old-school machine learning." The idea is that a detailed profile collected during the dialogue provides much more signal than a resume or public LinkedIn profile. The system matches this profile with open positions and shows candidates only to companies where there is potentially mutual interest. If both sides confirm interest, Dex brings the candidate directly to the hiring manager rather than passing them through a long chain of intermediaries.

The startup intentionally doesn't try to close the entire recruiting market. It focuses on one segment: AI researchers, developers, ML engineers, and quantitative specialists. This vertical approach is important because in these roles the cost of error is particularly high: strong specialists are rare, the hiring process is expensive, and the speed of closing a position often determines whether a company can ship a product or lose to faster competitors.

Key Numbers

Dex shows a rare set of metrics for an early-stage company. According to the company, since launching its paid model at the end of 2025, the service has grown from zero to approximately $1.8 million ARR in less than half a year. Lambros says it's "quite possible" to reach profitability by year-end, and for investors this is an important signal: the business validates not only demand for AI but also companies' real willingness to pay for results.

• $5.3 million in a seed round led by Notion Capital
• $8.4 million in total raised capital including last year's pre-seed of $3.1 million
• Over 15,000 engineers registered on the platform
• Over 50 tech companies already paying for the service, including Lovable, ElevenLabs, Synthesia, Granola, and Fyxer
• Commission for the employer — 20–30% of the candidate's first-year salary

Dex's monetization model looks more like a classic agency than HR-SaaS. The company doesn't sell software to recruiters, doesn't integrate into ATS systems, and doesn't charge a monthly subscription for access to a database. Instead, it takes a commission for results only after successful hiring.

This sounds simple, but that's precisely the bet: many employers are tired of services that promise to accelerate the funnel but don't account for the final result.

"We earn money only if we do our job well."

Entry to the USA

Dex's positioning relies heavily on the founder's background. Before launching the company, Lambros spent about two and a half years consulting approximately 100 European startups on hiring issues at Atomico, one of Europe's largest venture funds. Before that, he handled the talent function at Improbable during the company's rapid growth phase, and later headed people and talent at construction startup Sensat.

His key insight is simple: almost any serious problem at an early-stage company eventually comes down to a hiring decision—either you hired the wrong person, or you couldn't close a critical role quickly enough.

Dex plans to direct the new capital toward opening offices in New York and San Francisco later in 2026. This is a logical step, but also the riskiest: the market for AI engineers in the USA is much denser, more expensive, and more aggressive than in Europe. This is where Dex will have to prove that a narrowly specialized agent can hold its ground against more universal and better-capitalized players who are also building AI tools for recruitment.

The next 12 months will show whether a vertical approach can become not just a convenient niche but a full-fledged competitive advantage.

What This Means

The market for AI recruiting is seeing more and more products, but Dex is betting not on a tool for HR but on a pay-for-performance service. If this model takes hold in the hiring of AI specialists, traditional agencies and subscription-based HR platforms will feel the pressure: companies care more about fast and accurate access to rare engineers than about access to software.