85 AI Deals, Three New Billion-Dollar Valuations, One Week

In the week of March 19–25, more than 75 distinct AI-related transactions crossed the InforCapital deal tracker. Three startups confirmed billion-dollar-plus valuations. A single acquisition moved $4.75 billion. And at least $4.1 billion in fresh fund commitments was earmarked explicitly for AI.

None of this happened in isolation. Each data point connects to a larger shift: capital is not just flowing into AI — it is restructuring around it.

Three Companies Crossed the Billion-Dollar Line

The headline deal was Harvey, the AI-powered legal platform, which confirmed an $11 billion valuation. Sequoia tripled its position. GIC, Singapore's sovereign wealth fund, came in alongside them. For a company selling AI agents to law firms, $11 billion is a staggering number — and a signal that enterprise buyers are no longer experimenting with AI. They are signing multi-year contracts large enough to justify these valuations.

Granola, an AI notetaking startup, hit $1.5 billion on a $125 million Series C. The round is notable less for its size than for what it implies: the productivity AI category, once dismissed as a feature rather than a company, now has a genuine unicorn built around a single, focused use case — meeting notes.

Dash0 reached $1 billion with $110 million in funding, bringing AI agents to cloud observability. Developer infrastructure companies rarely hit unicorn status this quickly. Dash0 did it by betting that every monitoring alert will eventually be triaged by an agent, not a human.

The Biggest Rounds Point to Physical AI

Beyond the billion-dollar valuations, the week's largest venture rounds reveal where investors see the next wave of value creation — and it is not chatbots.

Cambridge Mobile Telematics raised $350 million from TPG and Allianz to scale its AI-driven road safety and mobility platform. This is not a typical VC bet. It is a strategic infrastructure play backed by an insurance giant that sees AI telematics as a way to fundamentally reprice risk across entire vehicle fleets.

Lovable closed $330 million to accelerate AI-powered code generation. Kandou AI raised $225 million for chip interconnects — the plumbing that connects processors inside data centers. QCraft secured $100 million to push toward general physical AI. And NoTraffic raised $90 million to bring AI-driven traffic management to American cities.

The pattern is consistent: the largest checks are going to companies that embed AI into physical systems — mobility, infrastructure, semiconductors, urban planning — not just software workflows.

Fund Managers Are Betting Their Entire Platforms on AI

It was not just startups raising capital. Several fund managers used this week to make decisive, structural moves around AI.

Kleiner Perkins raised $3.5 billion dedicated to AI investments — the firm's largest fund ever and a clear statement that AI is no longer one theme among many at the storied venture firm. It is the theme.

futurepresent emerged from stealth with a $300 million debut fund targeting AI across infrastructure and industrial applications. Air Street Capital closed $232 million for its Fund III backing AI-first companies. And Breakout Ventures raised $114 million specifically for AI science startups.

Then there are the moves that are harder to categorize but impossible to ignore. Coatue, Philippe Laffont's $70 billion firm, is pivoting to launch an AI crossover fund — effectively reorienting its entire investment apparatus. And Jeff Bezos is reportedly exploring a $100 billion fund to bring AI to the industrial economy. Neither is confirmed as closed, but both reflect a conviction that the AI opportunity is large enough to warrant restructuring entire investment platforms around it.

$4.75 Billion in M&A and the Acqui-Hire Machine

While venture capital grabbed most of the headlines, M&A activity told an equally important story. Thirteen AI-related acquisitions closed or were announced during the week.

The largest was Ecolab's $4.75 billion acquisition of CoolIT Systems, a data center liquid cooling company previously owned by KKR. The deal says something important about second-order effects: it is not just GPU makers and cloud providers that benefit from the AI infrastructure buildout. The companies that cool, power, and connect AI hardware are becoming acquisition targets at multi-billion-dollar valuations.

The acqui-hire pipeline was equally active. OpenAI acquired Astral, the open-source Python tooling startup behind Ruff and uv. Meta acqui-hired the co-founders of Dreamer, an agentic AI startup. Databricks bought two startups to build its AI security product. Miro acquired Reforge to inject AI into product development workflows. And Apollo.io acquired Pocus to advance its AI-native go-to-market system.

The M&A pattern is unmistakable: large platform companies are buying, not building, their AI capabilities. Speed matters more than cost when the window for competitive advantage is measured in quarters, not years.

The Early-Stage Pipeline Shows No Signs of Thinning

Amid mega-deals and billion-dollar valuations, it would be easy to overlook the bottom of the funnel. But the early-stage data was just as telling.

Twelve AI deals closed under $5 million. Nineteen closed between $5 million and $20 million. From Dentronic, a dental AI robotics startup raising $1 million in pre-seed funding from South Park Commons, to Cybervergent raising $3 million for AI compliance in Africa, to Hamilton AI banking $7.5 million in seed funding — the pipeline of new AI companies entering the market remains deep and varied.

What stands out is the breadth of application. These seed-stage companies are not all building chatbots or copilots. They span dental robotics, flight training, government intelligence, supply chain automation, and wealthtech. AI is being applied to problems that most venture investors would not have funded three years ago — and that is precisely why the early-stage numbers matter. They are a leading indicator of where AI will show up in two to three years.

What to Watch Heading Into Q2

Three dynamics from this week are worth tracking.

First, the convergence of financial and strategic buyers on AI infrastructure. When Ecolab — a water treatment and hygiene company by heritage — pays $4.75 billion for a data center cooling firm, it tells you the AI infrastructure supply chain is attracting capital from well outside the technology sector. Expect more non-tech acquirers to show up in AI deal flow.

Second, the fund-level concentration. Kleiner Perkins did not raise an AI-themed sub-fund alongside its main strategy. It raised its entire flagship around AI. When generalist investors become single-thesis investors, it changes the competitive dynamics for every startup seeking capital — more dollars chasing the same category, with all the pricing consequences that follow.

Third, the gap between the top and bottom of the market is extraordinary but productive. Harvey at $11 billion and a dental robotics pre-seed at $1 million both happened in the same seven-day window. The AI market is simultaneously mature enough to produce decacorns and young enough to spawn entirely new categories. That duality will not last forever. But for now, it means opportunity exists at every rung of the funding ladder — and capital is showing up to meet it.