




Our automations have run inside companies backed by the biggest names in venture, with over $700M raised between them, taking part in critical decision making where the margin for error is minimal.
Two years ago our cofounder went to work for an AI recruiting agency that was a Sequoia preferred partner, giving him access to the top 1% of the industry. There he watched a founder build a team of 10 with no recruiter. He also tested nearly every AI tool on the market and found the same flaw each time: never built by recruiters, trying to do everything, and never tied to hires or revenue.
Four years at agencies serving top AI companies, plus six years in house, meant our cofounder never stopped recruiting while he tested nearly every AI tool: sourcing, outreach, ATS, CRMs, conversational recruiting engines. He kept what worked. Then real LLM agents and Claude Code changed the game. He built an end to end recruiting system, proven across multiple high stakes roles, that generated revenue without scaling headcount. Zero AI slop, just automations that delivered.
As LLMs evolve, so does what we can build. We have spent ten years in recruiting and two years at the frontier of AI, failing fast so you do not have to. That experience exists for one reason: to put this technology into the hands of recruiters, not keep it locked away.
Bilal spent a decade in recruitment, across agency, in house and RPO. He has hired for the top 1% of the market, placing candidates at Meta, Alibaba, and AI startups backed by Sequoia Capital, Index Ventures and the largest VCs. Over the last two years he built an end to end AI recruiting workflow that generated well over six figures in revenue, negotiated seven figure salary packages, and got the attention of the hardest to reach candidates and clients in tech recruiting and exec search.
Rik started out in agency legal recruitment as a 360 recruiter, winning Rookie of the Year at Hydrogen Group. When Covid hit, he cofounded Simplified Staffing, a healthcare staffing agency that grew into a private healthcare provider, where he closed £35M+ in public sector contracts. Facing mass application volumes in a heavily regulated industry, his team tested a lot of AI tools, then built their own automations to scale recruiting without scaling headcount. That work led him to cofound SecretSourced.
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