Dex raises $5.3M to match AI engineers with startups through an AI agent

London startup Dex has raised $5.3M 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 an AI agent for technical recruiting. A candidate starts with a conversation, by voice or text, in which the system asks open questions about their experience, motivation, career goals and the type of company that suits them. The agent, built on a combination of models from Google, Anthropic and OpenAI, then shows relevant openings from a curated database, helps the candidate research the employer, compare compensation against the market 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 built during the conversation gives far more signal than a resume or a public LinkedIn profile. The system matches that profile against open positions and shows candidates only to companies where interest is potentially mutual. If both sides confirm interest, Dex puts the candidate directly in front of the hiring manager instead of running them through a long chain of intermediaries.

The startup deliberately does not try to cover the entire recruiting market. It focuses on one segment: AI researchers, developers, ML engineers and quantitative specialists. This vertical approach matters because the cost of a mistake is especially high in these roles: strong specialists are rare, hiring is expensive, and how fast a position is filled often determines whether a company ships its product or loses to faster competitors.

Key numbers

Dex reports an unusual set of metrics for an early-stage company. According to the company, since launching its paid model in late 2025 the service has grown from zero to roughly $1.8M in ARR in less than six months. Lambros says reaching profitability by the end of the year is "entirely possible", which is an important signal for investors: the business tests not only demand for AI but also companies' real willingness to pay for results.

• $5.3M seed round led by Notion Capital
• $8.4M total capital raised, including last year's $3.1M pre-seed
• More than 15,000 engineers have registered on the platform
• More than 50 tech companies already pay for the service, including Lovable, ElevenLabs, Synthesia, Granola and Fyxer
• The employer fee is 20–30% of the candidate's first-year salary

Dex's monetization model looks more like a classic agency than HR SaaS. The company does not sell software to recruiters, does not integrate with ATS systems and does not ask for a monthly subscription for database access. Instead it charges a fee for results, only after a successful hire. It sounds simple, but that is the core bet: many employers are tired of services that promise to speed up the funnel yet take no responsibility for the final outcome.

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

US expansion

Dex's positioning rests largely on the founder's background. Before launching the company, Lambros spent about two and a half years at Atomico, one of Europe's largest venture funds, advising roughly 100 European startups on hiring. Before that he ran the talent function at Improbable during its period of rapid growth, then led people and talent at the construction startup Sensat. His key takeaway is simple: almost every serious problem at an early-stage company eventually comes down to a hiring decision, either the wrong person was hired or a critical role stayed open too long.

Dex plans to use the new money to open offices in New York and San Francisco later in 2026. It is a logical step, but also the riskiest one: the US market for AI engineers is far denser, more expensive and more aggressive than Europe's. That is where Dex will have to prove that a narrowly specialized agent can hold its ground against more general and better-capitalized players that are also building AI tools for recruiting. The next 12 months will show whether the vertical approach can become more than a convenient niche and turn into a real competitive advantage.

What this means

The AI recruiting market is filling up with products, but Dex is betting not on a tool for HR but on a pay-for-results service. If this model takes hold in hiring AI specialists, both traditional agencies and subscription HR platforms will feel the pressure: what companies need is not access to software but fast, accurate access to rare engineers.