Contrario, an AI-native recruiting platform built for high-growth companies, today announced its official launch. The platform helps companies at every stage hire faster by combining expert recruiters with AI agents that take on the operational work. In under six months, the company has reached $6M in annualized revenue and paid out over $1M to recruiters.
Contrario is quickly gaining traction with 200+ of the fastest growing companies, including Slash, Wispr Flow, and Listen Labs. The team closed their seed funding at $2.3M, led by Nexus Venture Partners, with participation from other investors.
Contrario was founded by Arya Marwaha and Aditya Sood. Before building Contrario, Marwaha bootstrapped another startup to six-figure ARR, worked at BCG and led research at Stanford HCI, while Sood conducted NLP research at NASA and published through Stanford AI Lab and Anthropic. The two met in their freshman dorm at Stanford University before dropping out of their master’s programs to build Contrario full time
While recruiting is critical, the process remains manual, fragmented, and inefficient. Contrario changes that model by combining expert recruiter networks powered by agent-based AI workflows and a continuously improving data layer. Contrario integrates directly into a company’s Slack and ATS, automating tasks like coordination, scheduling, and follow-ups so teams can move faster without adding new tools to their hiring stack.
What separates Contrario from traditional agencies and AI hiring tools is the hybrid model behind the platform. Agencies offer human recruiters with no software leverage; SaaS tools offer software with no human judgment. Contrario combines both: a network of hundreds of expert recruiters working alongside vertical AI agents built for hiring. With every search, the agents take on more of the repetitive work so recruiters can spend time on what matters most: finding candidates and closing them.
The company says this approach is driving measurable results. Companies on Contrario receive high-quality candidates 3x faster than traditional agencies and platforms, with their pipelines filling in days instead of weeks. With an 80% first round interview rate, 4 out of 5 submitted candidates meet the company’s hiring bar.
At the same time, the platform is creating meaningful economic opportunity for recruiters. Top recruiters earn over $100k per month, and more than $1M has already been paid out through the platform, reinforcing a platform built around speed, quality, and aligned incentives.
Juicebox, the leading AI recruiting platform, today announced Juicebox Agents, a new suite of AI agents that continuously source and engage top candidates. Each agent runs 24/7 across every open role so recruiters can spend less time searching and more time hiring.
Instead of sifting through mountains of low-intent applications, Juicebox Agents work alongside recruiters like world-class outbound sourcing partners. They ask questions, map the market, push back on assumptions, and learn from every piece of feedback. Customers can run dozens of agents at once that run continuously across all open roles. Some early customers have seen up to a 5x increase in recruiter efficiency and 50 percent reduction in sourcing time.
“We believe the future of recruiting will rely on agents,” said David Paffenholz, Co-founder and CEO of Juicebox. “Every company has a sense of what a great hire looks like. Getting a tool to learn that, hold to it, and act on it across every open role is what we’ve been working toward. This is what it looks like when recruiting systems can finally operate with context, judgment, and consistency at scale.”
Unlike most sourcing tools, Juicebox Agents don’t pull from resumes or job boards. They search across unstructured sources, like GitHub, Google Scholar, Stack Overflow, Medium, and community forums to find candidates based on what they’ve actually built and shipped.
