Metaview raises $60m to put AI agents across the whole hiring process

thenextweb.com Oct 2, 2026

Metaview raises $60m to put AI agents across the whole hiring process

Curated by Shubham · TechCapsules · Oct 2, 2026

AI-summarised brief · reviewed before publication

Metaview, a London‑San Francisco startup that develops AI agents for recruiting, secured $60 million in a Series C round led by Insight Partners, with participation from GV, Intrepid Growth Partners, Seedcamp, Vertex Ventures US, Plural and Garuda Ventures. The funding brings the company’s total capital to $110 million. Founded in 2018 by Siadhal Magos and Shahriar Tajbakhsh, Metaview has recorded over 6 million interview transcripts and serves more than 7,000 clients, including Deel, Replit and Navan. The new capital will launch its autonomous recruiting coworker, Fillmore, expand its team to 250 employees, and open a New York office.

💡 Why It Matters

· The infusion positions Metaview to accelerate AI‑driven hiring at scale, potentially reshaping how enterprises manage talent pipelines and reducing time‑to‑hire by up to 75%.

AI Capsules Funding Startups

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The Pentagon taps Elon Musk to design the battlefield of the future

Defense Secretary Pete Hegseth announced that Elon Musk will co‑lead Project Meridian, a Pentagon study to identify future weapons and technologies for U.S. forces. Musk will work with Anduril founder Palmer Luckey and former Speaker Newt Gingrich under CTO Emil Michael. The study, due by January 28, 2027, will focus on AI, autonomy, directed energy, robotics, and biotechnology, producing a public report with a classified annex. Meridian aligns with Musk’s companies, notably SpaceX’s defense contracts and Tesla’s autonomy work.

💡 The initiative signals a strategic shift toward integrating private-sector innovation into national defense, potentially reshaping U.S. military capabilities and procurement priorities.

techcrunch.com · Oct 2

Amazon releases its own Jev clone as decision models flood the web

Amazon Web Services launched Strands Decider 2B, an open‑source decision model inspired by TypeSafe’s Jev, amid a surge of AI tools focused on task selection rather than text generation. The model, built on Qwen3.5‑2B, delivers calibrated choices with confidence scores, enabling low‑latency, cost‑effective workflow steps for agents. It was initially a homebrew project by engineer Marc Brooker, briefly topping the Jevbench ranking, before being refined and released through Strands Labs. The release coincides with OpenAI’s similar offering, reflecting growing demand for specialized decision engines in automation pipelines.

💡 The launch signals a shift toward modular AI components that can be embedded locally, reducing reliance on large LLMs and lowering operational costs for businesses. It also highlights the competitive pressure on major cloud providers to innovate beyond generic models, reshaping how enterprises deploy AI in real‑time decision contexts.

lnt.ma · Oct 2

Instagram built an AI that will literally tell you what to post

Meta’s Instagram has begun rolling out an AI assistant within its video creation app, Edits, aimed at helping creators decipher their own performance data. The tool analyzes metrics such as views, follows, likes, shares, comments, and audience retention, then merges these insights with current platform trends to suggest video concepts, hooks, captions, scripts, and trending audio. Instagram stresses that the AI supports data analysis, not creative control, keeping decision-making in the creator’s hands. Initially available to U.S. users, the feature is not yet accessible in other regions.

💡 By turning raw engagement data into actionable content ideas, the AI reduces the trial‑and‑error cycle for creators, enabling faster, data‑driven experimentation and potentially reshaping how influencers strategize their posts.

alaska-native-news.com · Oct 2

‘As Dangerous As It Is Absurd’: Trump Ripped for ‘Self-Policing’ AI Industry…

President Donald Trump hosted a White House meeting with top tech executives, culminating in a “Joint Commitment on Frontier Responsibilities” signed by leaders from Musk’s companies, Anthropic, Google, Meta, Nvidia, OpenAI, Amazon, Microsoft, and Palantir. The accord pledges self‑regulation, requiring each firm to implement four layers of internal controls, external audits, and board oversight to ensure AI safety. Trump described the pact as “morally binding,” while Zuckerberg called it a “start.” The agreement follows recent AI incidents, including OpenAI’s breach of Hugging Face, sparking congressional calls for stricter safeguards.

💡 The accord signals a shift toward industry‑led governance amid rising concerns over autonomous AI risks, potentially shaping future regulatory frameworks. It also reflects a political divide on how best to balance innovation with public safety.

pokde.net · Oct 2

Google AI Educator Series Launches In Malaysia With Free AI Literacy Training…

Google has launched the Google AI Educator Series (GES) in Malaysia, a free, standards‑aligned AI literacy training program for K‑12 and higher‑education teachers. The self‑paced curriculum offers 15‑ to 45‑minute modules that fit busy schedules, covering lesson‑plan creation, parent communication drafting, and interactive simulation building with vibe coding. Malaysia already leads globally in Google’s Gemini Certified Educators program, with over 200,000 teachers certified. The Ministry of Education and Ministry of Higher Education have enabled Gemini for Education across schools and universities, reaching millions of students and educators. Additional updates include Guided Learning for Google Classroom, real‑time progress tracking, and the free Read Along digital tutor with expanded Malay titles.

💡 By offering a comprehensive, no‑cost AI training series, Malaysia positions itself as a regional leader in AI‑enabled education, ensuring teachers can integrate cutting‑edge tools into classrooms immediately.

us.headtopics.com · Oct 2

Inside Microsoft’s big Copilot rethink

Microsoft CEO Satya Nadella announced a strategic shift, positioning Copilot as the “OS for work” during an exclusive event for key enterprise customers. The update integrates coding, agent functions, and full Office capabilities into a unified interface, blending consumer and business experiences. Nadella compared the transformation to Office’s impact in the ’80s and ’90s, emphasizing AI’s role in redefining workplace productivity. The redesign, influenced by Inflection AI’s Pi, introduces distinct tabs for chat, coding, and the new Autopilot agent, aiming for a seamless, consumer‑grade user experience.

💡 By framing Copilot as a foundational work OS, Microsoft signals a pivot toward AI‑driven productivity that could standardize enterprise workflows, reshaping how businesses adopt and integrate advanced tools.