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Harvey is reportedly in talks to raise at least $500 million at a $15.5 billion valuation — a jump of more than 40% from the $11 billion mark it hit just five months ago. The legal AI startup’s annualized revenue has nearly doubled since January, now topping $350 million, with Lightspeed Venture Partners circling to lead the round.
If a four-year-old legal AI startup can reprice itself by 40% between scheduled funding rounds, how many other vertical AI companies are quietly sitting on similar revenue curves that just haven’t gone public with a raise yet? Elsewhere, Nvidia wrote a $2 billion check into its own AI-factory supply chain, and AMD bought its way into a completely different approach to running AI models fast.
In today's Startup News AI:
Harvey in talks to raise $500M at $15.5B valuation
Firmus raises $2B to build AI factories across Asia-Pacific
AMD acquires Taalas to hardwire AI into silicon
Harvey is in talks to raise at least $500 million at a $15.5 billion valuation — a jump of more than 40% from the $11 billion mark it hit just five months ago, as Lightspeed Venture Partners moves to lead the round.
How AI-Era Pricing Is Reshaping Finance Operations
Usage-based and hybrid pricing models are changing how B2B companies generate revenue — and creating new headaches for the finance teams behind them.
Tabs co-founder Rebecca Schwartz and PwC Partner Amit Dhir sat down to unpack exactly what that means in practice: how pricing model decisions ripple into revenue recognition, forecasting, and financial ops — and what it takes to scale without piling on manual work.
Watch the on-demand recording to get practical frameworks, real-world examples, and a clear path to operationalizing usage-based revenue — including a forward-looking take on how AI will reshape financial workflows. If your team is navigating pricing complexity heading into the back half of the year, this is worth an hour.
What’s the Deal?
Harvey’s annualized revenue has surged to more than $350 million, up from $190 million in January.
The new round would follow a $200 million raise at an $11 billion valuation in March 2026, co-led by Sequoia Capital and GIC.
More than 100,000 lawyers across 1,300 organizations, including Latham & Watkins and A&O Shearman, now use Harvey’s AI agents for legal research, contract review, and compliance work.
Why care?
An 84% revenue jump in seven months is the kind of growth that lets a startup reprice itself mid-cycle instead of waiting for the next scheduled round. Founders in adjacent regulated verticals — compliance, tax, insurance — now have a fresh data point for how fast vertical AI revenue can scale once law firms start paying for agents instead of subscriptions.
Firmus raised $2 billion in a strategic equity round from Nvidia, Coatue Management, Blackstone, and Jane Street, nearly doubling its valuation to $10.5 billion just four months after its last raise.
What’s the Deal?
The Australian AI infrastructure startup builds data centers for training and running AI models rather than the models themselves, and will use the capital to fast-track Project Southgate, its large-scale compute buildout across Australia.
Firmus’s valuation has risen from roughly $5.5 billion in April 2026 to $10.5 billion now, tracking the same trajectory as the GPU-scarcity trade that made chip-adjacent infrastructure startups some of 2025’s biggest winners.
The company is expanding beyond Australia into Indonesia and the wider Asia-Pacific region to serve AI-native customers closer to where compute demand is growing fastest.
Why care?
A $2 billion check from Nvidia itself shows the chipmaker still sees more upside in owning a piece of the data centers running its GPUs than in selling silicon alone. Founders building compute infrastructure outside the U.S. now have a concrete valuation benchmark for the Asia-Pacific AI buildout.
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AMD agreed to acquire Taalas, a Toronto startup that etches AI models directly into silicon instead of running them through general-purpose chips, in AMD’s third AI acquisition in nine months. Terms were not disclosed.
What’s the Deal?
Taalas’s HC1 chip has claimed to serve Meta’s Llama 3.1 8B model at roughly 17,000 tokens per second — 73 times faster than Nvidia’s H200 at one-tenth the power, according to the company’s own February 2026 benchmarks.
The startup had raised about $219 million total, including a $169 million round in February from Quiet Capital, Fidelity, and semiconductor investor Pierre Lamond.
AMD plans to fold Taalas’s model-specific chip designs into its Helios racks, Instinct GPUs, and EPYC processors, all programmed through its ROCm software stack.
Why care?
Buying a startup that trades chip flexibility for raw inference speed tells you AMD thinks some customers will happily lock a chip to one model if it’s dramatically cheaper to run. It’s also AMD’s clearest signal yet that it wants to compete with Nvidia on cost-per-token, not just raw compute.
The Shortlist
Whatnot raised a $545 million Series G at a $20 billion valuation, with ICONIQ, Lightspeed, and Avra leading as the live-shopping marketplace builds AI tools to automate seller busywork.
NavVis closed an $85 million Series D led by The Jordan Company to build the spatial data layer feeding physical AI systems in factories and construction sites.
Enrola pivoted from an education marketplace to AI sales agents and raised a $2.1 million seed round, already processing 250,000 leads across six industries.
Solinas Integrity secured a $5.5 million Series A1 led by Hero Enterprise Partner Ventures to scale its AI-powered robots that inspect and clean underground water infrastructure.