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Metaview founders in neon jackets under $60M Series C graphic with Insight Partners and other investors

30 Sep 2026

Metaview

Metaview raises $60M Series C to put AI agents across recruiting

Metaview said Wednesday it raised a $60 million Series C led by Insight Partners, bringing total funding to $110 million, to expand AI agents that source, screen, and turn interviews into hiring intelligence while people stay on the decisions.

Recruiting still burns weeks on inbox triage while the number of applications keeps climbing. Metaview’s Series C is a bet that agents can source and screen around the clock, so the scarce human work is judgment and relationships, not another form in the system a company already uses to store résumés.

On Wednesday, 30 September 2026, Metaview said it raised a $60 million Series C. Insight Partners led the round. The post names the other investors as GV, Intrepid Growth Partners, Seedcamp, Vertex Ventures US, Plural, and Garuda Ventures. It says the round brings total funding to $110 million. A Series C is a later round of venture funding, after earlier ones. The $60 million is this round. The $110 million is everything the company says it has raised, including this round, so the new money is a bit more than half of that total. The post is by Siadhal Magos. The page dates it 30 September 2026 and calls it a three-minute read. It does not print an hour or a city. Those lines are Metaview’s.

The post says more than 7,000 companies now hire with Metaview. Over the last year, it says, the company expanded from capturing the conversations where hiring decisions happen to putting AI agents across the whole recruiting process. An agent, here, is software that can take the next step, such as searching for a person or sending a note, instead of waiting for someone to click through a form. Those lines are Metaview’s.

The post calls this recruiting’s Claude Code moment. Claude Code is Anthropic’s tool that lets an engineer hand the writing of code to an agent and stay on the judgment: what to build, what context to give, and which result to accept. The comparison in the post is that recruiting would work the same way. Metaview says recruiting is an $800 billion industry built on the idea that hiring is hard work with little help from technology, and that teams are staffed up for a hiring spike and cut just as fast. The post does not link a source for the $800 billion figure. Those lines are Metaview’s.

The post says the number of candidates has exploded. It says applications per recruiter have increased 412 percent, and it links that line to Greenhouse’s recruiting-benchmarks page. An increase of 412 percent is a bit more than five times as many applications per recruiter as the baseline that figure uses. The post says recruiters then spend the day on application queues, profile searches, outreach, scheduling screens, chasing interview feedback, and moving information between systems. It says the average time to fill a role is nearly 45 days, about a month and a half, and it links that line to an SHRM note on the state of recruiting. It says nearly 50 percent of hiring decisions are later regretted, about half, and it links that line to a Robert Half press page. The post calls that a coin flip that takes months. Those figures are the ones Metaview prints, next to those links. This post does not reprint the tables behind them.

The post says the first wave of recruiting AI helped people do some of those tasks faster, and that Metaview built many of those tools itself. It says faster individual work was never the end goal. The human part of hiring, it says, is the relationship: building rapport, judging fit, persuading someone to take a chance on a role, and helping a person make a career decision. Agentic AI, in the post’s use, means the agents take the administrative layer, and each step that gets recorded feeds the next choice about who to prioritize, where to focus, and when to move. Those lines are Metaview’s.

The post says Metaview is now an end-to-end agentic recruiting platform. Its agents source candidates, review applications, run structured screening conversations, and turn human interviews into notes a team can use. Structured, here, means the screening follows a set of questions rather than a free-form chat. The post says the work does not wait for Monday morning. A person can apply on Sunday evening and be reviewed right away. Screening can happen when it suits the candidate. Sourcing can keep going while the hiring team is in interviews, asleep, or closing another offer. Those lines are Metaview’s.

In one recent hire by fillmore, the post says, 52 candidates were sourced, researched, and contacted by the AI, five screens were booked by the AI, and the person who was hired went from first being sourced to a signed offer in 30 days. The sentence links to a fillmore case study. The funding post does not name the customer. It does not say an outside party counted the 52, the five, or the 30 days. Fifty-two is the company’s count of people the software contacted in that example. Five is the count of screening calls it says the software booked. Thirty days is the span it gives from the first source to a signed offer. Those lines are Metaview’s account of one hire.

The post says the Series C pays for three priorities. The first is a larger platform, including a dedicated AI screening agent, software whose job is the screening conversation. It says fillmore is now available. fillmore is the company’s autonomous recruiting coworker. It sources candidates, writes personalized outreach, manages follow-up, and books screening calls, with people in the loop where it matters. Autonomous, here, means the software can run those steps without a person starting each one. People in the loop means a person still steps in where the company says it matters. The post’s line for the shift is that recruiting becomes always on, while people stay in control of the decisions that matter. Those lines are Metaview’s.

The second priority is a New York office and a larger staff. The post says Metaview is growing from 80 people to 250 by the end of next year, and opening a New York office alongside teams in London and San Francisco. The post is dated 30 September 2026, so the end of next year is the end of 2027. Two hundred fifty people is a bit more than three times 80. The post says the company is hiring in engineering, product, design, and go-to-market. Go-to-market is the work of selling the product and supporting the people who buy it. Those lines are Metaview’s. The post does not print a valuation or a revenue figure.

The third priority is teaching the people who hire. The post says the shift needs a new skill, not only new software. Metaview is putting money into 10x Recruiting, its community and training program for recruiters, talent operations, and hiring leaders. Talent operations is the team that runs the hiring process behind the recruiters. The program is built around what the post calls talent engineering: designing, running, and improving hiring systems that use AI. The post says the best teams of the next decade will be built by people who know how to use these tools well. Those lines are Metaview’s.

The about page, the same day, calls Metaview the agentic recruiting platform and says its agents work beside recruiters from the first search to the final offer. It says Siadhal Magos and Shahriar Tajbakhsh founded the company in 2018 after building teams at Uber and Palantir. It names Magos co-founder and chief executive, and Tajbakhsh co-founder and chief technology officer. It says more than 7,000 teams use Metaview, from startups to Fortune 500 companies. A Fortune 500 company is one of the largest public companies in the United States, on that magazine’s list. The funding post says more than 7,000 companies. The about page says more than 7,000 teams. The about page lists London, San Francisco, and New York. The funding post says the New York office is being opened alongside London and San Francisco. Those lines are on the about page.

The homepage the same day carries a banner that reads “$60M more, led by Insight Partners. Time to build.” It describes fillmore as the AI coworker that finds candidates, runs personalized outreach, and books screening calls on its own. A line says agents handle the busywork across sourcing, screening, scheduling, and interviews, so recruiters can focus where human judgment matters most. Another line says to collapse time-to-fill by 40 percent. Time-to-fill is how long a role stays open. Forty percent shorter is the homepage’s claim. The page does not show the before-and-after times, does not name a customer for that cut, and does not tie the line to the Series C post. Those lines are on the homepage.

In plain terms, Metaview said on Wednesday that Insight Partners led a $60 million Series C, and that total funding is $110 million. The company says more than 7,000 companies hire with it, and that its agents source, screen, and turn interviews into notes a person can use. fillmore, the coworker that can run sourcing and booking on its own, is available, with people still in the loop. One example the company reports is 52 candidates contacted by AI, five screens booked by AI, and a signed offer in 30 days. The post does not name that customer. The company says it will open a New York office and grow from 80 people to 250 by the end of 2027.

The picture is Metaview’s Series C graphic from the post. The Metaview mark sits at the top. A large lime “$60M” fills a blue sky over a city skyline. Two men in matching lime jackets stand in the foreground. A white bar along the bottom reads “Series C led by Insight Partners,” then the marks for GV, Intrepid Growth Partners, Seedcamp, Vertex Ventures US, Plural, and Garuda Ventures. It is the announcement graphic. It is not a photograph of a hiring floor, and it does not print a date.

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