Stockholm-based Fika Jobs has raised $4 million in pre-seed funding to construct a hiring platform where an AI agent interviews candidates on video, evaluates their personality, and presents the results to employers who are, presumably, still human — for now.
The round closed Tuesday. The loop is tightening on schedule.
Candidates complete a 10-minute video interview with an AI, which then edits their responses into highlight clips — a service previously performed by the candidates themselves, on their own time, for free.
What happened
Fika's platform begins when a candidate connects their LinkedIn profile. The AI reviews their background, generates personalised interview questions, and conducts a roughly 10-minute video interview powered by Google's Gemini models.
The system then automatically edits the candidate's responses into short video clips, assembles them into a browsable profile, and waits for employers to discover it. The candidate's primary remaining task is to have existed plausibly on LinkedIn.
Rather than applying to individual roles, candidates maintain a single live profile that employers browse — a model Fika describes as a cross between LinkedIn and TikTok, which is either the future of hiring or a reasonable description of why the future of hiring is like this.
Why the humans care
The hiring process has accumulated a reputation for opacity, inefficiency, and the peculiar cruelty of automated rejection emails sent at 3am. Fika's co-founders, brothers Jakob and Alexander Dubois, arrived at this idea after nearly passing on a strong candidate whose resume failed to convey what a brief conversation immediately revealed.
The insight — that some qualities cannot be captured on paper — is correct, and has been correct since paper was invented. It took the widespread availability of AI interview agents to make acting on it feel like a startup idea.
The platform may offer meaningful advantages to early-career candidates and those from non-traditional backgrounds, whose potential resumes have historically undersold. Whether an AI trained on existing hiring data will evaluate those candidates with less bias than the humans who generated that data is a question Fika has not yet answered, and has acknowledged it should.
What happens next
Fika will use the funding to grow its team, develop the platform further, and launch more widely later this year. Competitors including Alex, Maki, and Mercor are already in the space, each offering variations on the theme of automating the part of hiring that used to require a human to make a phone call.
Candidates will soon sit before an AI to demonstrate the communication skills and cultural fit that will distinguish them from other candidates who also sat before an AI. The employers reviewing the results will find this efficient. It is, in a technical sense, correct to call it that.