Construction Manager

SkyPilot raises $20M, Europe gets a robot unicorn, and the week funding split into Three worlds. Databricks alumni launch a multi-cloud orchestrator, a UK robotics startup hits $1.35B, and Microsoft commits billions to Mistral while copyright battles escalate. Published July 22, 2026 Three distinct funding ecosystems are running in parallel right now. Seeds are going to infrastructure plays that promise to make cloud cheaper or robots faster. Series A rounds are minting unicorns in Europe while the U.S. writes similar checks for solar-building bots. And at the top, strategic deals worth billions are reshaping who owns the compute, the content, and the legal liability. Let's start at the bottom and work up. The seed tier: orchestration and portable reactors. SkyPilot raised a $20 million seed led by Lux Capital, with Coatue and Amplify joining. The pitch is simple: make it dead simple to shift AI workloads between clouds without rewriting configs or getting locked into one provider's ecosystem. Ion Stoica, Databricks cofounder, and Zongheng Yang are the faces behind it. This is less about inventing new AI and more about fixing the multi-cloud tax that enterprises pay when they want optionality. Meanwhile Bluecore Energy closed a $10 million pre-seed from Slauson & Co, Harlem Capital, Precursor, and Kevin Hart's HartBeat Ventures. They're building portable nuclear power systems for maritime use - think container ships and offshore platforms. The round is notable because it's one of the first times you see Hollywood venture money, traditional seed funds, and a Ripple cofounder (Chris Larsen) all betting on small modular reactors for boats. Both companies are solving infrastructure bottlenecks, but one is software orchestration and the other is literal uranium. That spread tells you where early capital thinks the constraint is: compute flexibility and energy density. Series A and the new robot unicorn math. Gritt exited stealth with a $26 million Series A led by Obvious Ventures, bringing total funding to $32 million. Their robots are designed to accelerate solar plant construction - stacking panels, trenching cable runs, the grunt work that currently requires human crews in 110°F heat. The pitch expands to broader infrastructure eventually, but the wedge is solar because permitting timelines and labor shortages are the bottleneck, not panel cost. In the UK, Humanoid raised $152 million at a $1.35 billion valuation, making it Europe's newest robot unicorn. Prime Movers Lab led the round, with Schaeffler, Bosch, Fubon, and Aglaé Ventures joining. Total funding is now $270 million. The company is scaling production of its HMND01 humanoid robot, and the cap table reads like a who's who of automotive and industrial automation - not consumer robotics VCs. What's interesting: Humanoid hit unicorn status faster than most U.S. robotics companies, and it did so with a mix of European industrial strategics and a single U.S. lead investor. The valuation isn't a moonshot bet on AGI embodiment; it's industrial buyers pre-paying for supply chain leverage. The fund layer: $800M for science + compute. Dimension Capital closed an $800 million third fund, up 60% from its prior $500 million vehicle. They invest at the intersection of science and high-performance compute - drug discovery AI, longevity biotech, quantum optimization, anything that needs both wet lab work and massive parallelism. Two Dimension portfolio highlights this week: Chai Discovery raised $400 million at a $3.8 billion valuation to build open-source foundation models for drug discovery, and New Limit (co-founded by Coinbase CEO Brian Armstrong) closed a Series C at a $3.1 billion valuation. New Limit is pure anti-aging biotech, the kind of moonshot that used to be unfundable until crypto money started flowing into longevity. Dimension also holds shares in Anthropic after it acquired drug discovery platform Coefficient Bio for a reported $400 million. The deal gave Dimension equity in Anthropic as part of the transaction structure. That's a funding angle you don't see often: acquisition-driven dilution that benefits early backers of the acquired company. The strategic deal tier: billions in compute, content, and data centers. At the top end, Microsoft agreed to spend billions on Mistral AI's European compute infrastructure and expand distribution of the French startup's models via Azure and Office products. This is not a funding round; it's a strategic alliance where Microsoft buys capacity and Mistral gets hyperscale distribution without becoming OpenAI 2.0. A BlackRock and MGX consortium closed a $40 billion acquisition of Aligned Data Centers and committed another $5 billion in growth capital. The message: hyperscale data center demand isn't slowing, and institutional capital is willing to write nine-figure checks for physical infrastructure. On the messier side, a federal judge approved Anthropic's $1.5 billion class-action settlement with authors who claimed the company used their books to train Claude without permission. It's one of the largest copyright-related AI settlements to date, and it won't be the last. News Corp also filed a countersuit against Brave Software, accusing the browser maker of "flagrant theft" for distributing Wall Street Journal and New York Post articles to AI firms. The funding world is still moving. The valuations are still rising. But the lawsuits are keeping pace, and every billion-dollar compute deal now comes with a billion-dollar legal tail.

Gritt exits stealth with $34 million for robots to build solar plants - then, everything else. One of the most important things happening on Earth today is the solar energy build-out. Around the world, companies and countries are racing to deploy solar [...]. One of the most important things happening on Earth today is the solar energy build-out. Around the world, companies and countries are racing to deploy solar and batteries to achieve energy independence and limit the effects of climate change. That build-out, though, is running into a labor market challenge, with a limited supply of workers to meet a growing demand for installation. Robots could be an answer, but industrial robots have historically struggled in unstructured environments, at least until now. The latest generation of AI models may have changed that equation. That's the driving idea behind Gritt, a start-up founded by two Carnegie Mellon-trained roboticists, CEO Puneet Puri and CTO Vishal Dugar. The company exited stealth Tuesday morning with a $26 million Series A round of funding led by Obvious Ventures with participation from Union Square Ventures and Active Impact Investment. That brings its total funding to $34 million, following an earlier seed round backed by First Round Capital, Climactic, Congruent Ventures, and VSC Ventures. The startup is building an intelligent system to "help civilization build infrastructure faster," in Puri's words. "Our thesis is that if we truly want to speed up construction," Puri tells TechCrunch, "you need an intelligence which can work in the outdoor, chaotic environments of these construction sites, and it has to be generalizable enough that it can work in these varied environments." Rather than building its own robots from scratch, Gritt uses off-the-shelf hardware - thus far, rented skidders and robotic arms built by companies like Kawasaki - to build platforms that are controlled by its AI models. The first job its systems handle is unloading large, glass solar panels, carrying them toward the metal frames where they need to be installed, and positioning them on the frames with sub-millimeter accuracy so workers can fasten them. "There are people who used to build rockets that went into space and had infinite budget for the smallest little part, and then there are people who know what it means to get into dirty, dull, and dangerous jobs and scale them like mad," said Andrew Beebe, the partner at Obvious Ventures who led Gritt's Series A round. "These guys are in the second camp, and that's a special kind of entrepreneur that has the technical chops, the AI, and the machine vision skills to make it work." Gritt has two systems currently deployed in the field, using the data they collect to improve their behavior. Puri says that a typical eight-person crew workers can install 800 panels a day, but the same crew working with Gritt's systems can install 3,000 to 4,000 panels each day. Now, the company says it is contracted to help install 2.8 gigawatts of solar panels in the next 18 months, and that its customers include three of the top 10 US power construction companies. The company hopes to be operating 48 of its systems within the next six months. TechCrunch spoke to one Gritt customer who declined to be identified for competitive reasons, but who was enthusiastic about the system's ability to improve his work. He expects it to be easier to work at remote sites where it is difficult to attract workers, and anticipates a reduction in injuries since workers won't have to repeatedly lift 100-pound panels overhead. Gritt is competing against companies with their own panel-installing robots like Luminous Robotics, Cosmic, and China's Trinabot. Those companies are building their own hardware, rather than focusing on off-the-shelf vehicles and arms like Gritt, a difference that could shape who grows faster and with a leaner cost structure as demand grows. Gritt wants to add new manipulation tasks to its system so it can fasten the solar panels, drill posts, and even build the racks they sit on. Longer term, it also wants to move into other common, labor-intensive construction tasks, like tying rebar before concrete is poured over it. What's enabled the startup to pursue this vision? Mainly, the rise of new AI models, the founders say. "Making a system for one solution was still possible to some extent five years ago, right?" Puri said, but AI is now making that work generalizable - the same underlying pipeline can be reused and improve across tasks. As an example, he noted that training the system to stack cinder blocks took weeks, while a similar demo with rebar tying took just a day using the same software. But training new tasks is just the beginning of Gritt's vision. The founders believe the suite of sensors and intelligence its systems bring to worksites can do more than install panels; it can boost management and decision-making. For instance, they imagine their system noticing a trench is open while a storm approaches, allowing it to alert workers to cover it before rain damages components, or flagging missing inventory. "Gritt becomes now this layer of physical AI, which is doing this dextrous, labor-intensive task, plus it can help you take decisions on the site," Puri said. When you purchase through links in its articles, NUBBIN may earn a small commission. This doesn't affect its editorial independence. NUBBIN(TM) SHOP ᡣ𐭩ہ٨ Nubbin News July, 2026 OpenAI launched its first piece of hardware last week - a fancy little keypad built to pair with ChatGPT. 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