Nectar Social has raised a $30 million Series A led by Menlo Ventures — money aimed at a specific bet: that the work of talking to customers on social media has become too big for humans to staff and is ready to be handed to AI agents.
What Nectar does
Nectar calls itself an "agentic operating system" for marketers. In plainer terms, it deploys autonomous AI agents to run a brand's social presence end-to-end — replying in comments and DMs, moderating, managing creator workflows, tracking competitors, and carrying commerce conversations from pre-purchase question to post-purchase support. The company holds official data partnerships with Meta, TikTok, LinkedIn, Reddit, and X, and says it already powers more than 10 million conversations a week, up 5x in the last three months.
Who built it, and who backed it
Nectar was founded by sisters Misbah and Farah Uraizee, both former Meta leaders — Farah scaled Facebook Groups past a billion users; Misbah ran product for News Feed and creator monetization. The customer list skews toward culturally fluent DTC brands: Liquid Death, e.l.f. Beauty, Caraway, Graza, Kosas, Figma. The round was led by Menlo's Anthology Fund — the vehicle Menlo created with Anthropic — with GV, True Ventures, and Gwyneth Paltrow's Kinship Ventures joining. Anthropic-adjacent capital backing an applied-agent company is its own signal about where that ecosystem thinks the near-term money is.
The read
CEO Misbah Uraizee's framing is the whole thesis: "The buying conversation has moved into social, and no human team can staff every place it happens." That is true — and it is also the quiet part. The reply under a brand's TikTok, the DM answering a sizing question, the comment that sounds like the brand's voice: that labor used to belong to a social-media manager or an intern, and Nectar's pitch is that it now belongs to an agent. It is the same shift visible in the agentic-AI restructuring at companies like Cloudflare — work that was a headcount line becomes a software line. The platform owners are making the same bet from the other direction, with Microsoft standing up a $2.5 billion Frontier company to embed 6,000 AI engineers inside customers and turn deployed agents into the delivery model. For brands, the appeal is obvious: 10 million conversations a week is not a team you can hire. The thing worth watching is whether customers can still tell the difference, and whether they care.
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