Gritt's AI robots promise to speed solar installs - $26M raised. Recebe as notícias em primeira mão! Junta-te aos nossos canais e não percas as novidades. Gritt, a startup led by Carnegie Mellon-trained roboticists Puneet Puri and Vishal Dugar, emerged from stealth after raising a $26 million Series A led by Obvious Ventures (with participation from Union Square Ventures and Active Impact Investment) to deploy AI that controls off-the-shelf robotic arms and skidders for solar-panel installation. The company says its systems can lift installation rates from roughly 800 panels per eight-person crew to 3,000-4,000 panels per day, a change that targets labor shortages, lowers injury risk, and could accelerate multi-gigawatt solar projects. The Pittsburgh-founded team has taken an approach that combines existing industrial hardware - including robotic arms from vendors such as Kawasaki - with its own software and perception stack rather than designing custom machines. Gritt's first live tasks focus on unloading large glass panels, transporting them to racking locations, and placing them with sub-millimeter precision so crews can fasten them. Investors see that pragmatic combination of field experience and AI as a competitive edge. Andrew Beebe, the Obvious Ventures partner who led the round, said Gritt's founders blend real-world construction know-how with machine-vision and AI skills suited to messy, outdoor worksites. The Series A brings Gritt's total funding to $34 million after an earlier seed round backed by First Round Capital, Climactic, Congruent Ventures, and VSC Ventures. Gritt currently has two systems operating in the field and is using the data they collect to refine its models. The company reports contracts to help install 2.8 gigawatts of solar panels over the next 18 months and counts three of the top 10 U.S. power construction firms among its customers. Management says it aims to scale to about 48 systems within six months. Contractors who have piloted Gritt's system say the technology is especially valuable on remote sites where recruiting installers is difficult and where repetitive lifting of 100-pound panels raises injury risk. Gritt competes with vertically integrated robot builders such as Luminous Robotics, Cosmic, and China's Trinabot; its choice to pair AI software with rented or off-the-shelf vehicles is positioned to reduce upfront hardware costs and speed deployment. Beyond placement, Gritt plans to expand its manipulation suite to tasks that include fastening panels, drilling posts, and assembling racks, and it has longer-term ambitions to take on other labor-intensive construction chores such as tying rebar. The founders argue that recent advances in AI models are what make a more generalizable "physical intelligence" possible - enabling a single software pipeline to learn new manipulation tasks faster. Puri noted training to stack cinder blocks took weeks, while a rebar-tying demo ran in a day on the same software. Gritt also envisions its sensor and AI layer doing more than manipulation: monitoring site conditions, flagging open trenches before storms, and tracking missing inventory to aid on-the-ground decisions. That combination of dexterous automation and site awareness is central to the company's pitch to contractors struggling to hire and scale solar installations quickly. What this means for you. - Solar developers and contractors: Faster installation rates could shorten project timelines and make large deployments easier to staff, particularly at remote sites. Gritt's model aims to scale capacity without the capital expense of bespoke robots. - Workers and site safety: Automating repetitive, heavy lifting could lower injury risk for crews, while changing job mixes toward supervision, maintenance, and technical roles overseeing robotic systems. - Competition and costs: Companies that build both hardware and software face a different scaling challenge than software-centric players using off-the-shelf machinery; which model wins could influence installation costs and deployment speed. - Project planning and operations: An AI layer that also monitors site conditions introduces potential operational benefits - from inventory tracking to hazard alerts - that contractors can leverage immediately to protect assets and speed decisions. Faltou alguma coisa? Ajude-nos a melhorar este conteúdo. Ser-lhe-á enviado um email de confirmação.

Gritt raises US$32M for constructing solar farms with intelligent robots. It aims to eventually expand into multiple critical infrastructure applications July 22, 2026 Robots have started assisting with heavy lifting that once strained human backs on building sites across the world. Although construction crews have to tackle demanding outdoor work in all weather, advances in robotics and AI are steadily helping reduce the physical toll while speeding up projects. In relation, California startup Gritt emerged from stealth this week with US$32 million in total funding, including a US$26 million Series A round led by Obvious Ventures along with Union Square Ventures and Active Impact Investments. The company, founded by Carnegie Mellon-trained roboticists Puneet Puri and Vishal Dugar, deploys AI-controlled systems that attach to standard construction equipment such as skidders and robotic arms from suppliers like Kawasaki Heavy Industries Ltd (OTCMKTS: KWHIY) (FRA: KHE). "Gritt runs on off-the-shelf hardware, connecting via quick-attach to proven construction equipment like skid steers to handle labour-intensive tasks," said chief executive Puri on social media, "pick-and-place, assembly, and transport, all with high precision." Two systems already operate in the field. An eight-person crew that installs around 800 solar panels daily without assistance reaches 3,000 to 4,000 panels with Gritt's help. The firm says it holds contracts to support 2.8 gigawatts of solar installations over the next 18 months with major American power construction companies. Specific names remain undisclosed in public announcements. Gritt plans to run 48 systems within six months. It has already placed tens of thousands of panels with minimal breakages and operates on more than seven job sites. Prior to the Series A raise, the company earned recognition as a finalist in the U.S. Department of Energy's American-Made Solar Prize competition in 2024, where it received US$500,000 for solutions aimed at equitable solar deployment. Differentiation from competitors. Gritt stands apart from solar robotics firms such as Luminous Robotics, Built Robotics and Planted Solar mainly through its hardware strategy. While many rivals develop proprietary robots, Gritt mounts its AI software and control systems onto readily available equipment and third-party robotic arms that contractors already rent and maintain. This approach lowers costs and speeds adoption on real sites. Among broader robotic construction companies, Gritt emphasises a generalisable "physical AI" layer trained on chaotic outdoor data. New tasks, such as rebar tying, transfer quickly from one skill to another because the system builds a shared understanding of construction environments. It also gathers site data for oversight, such as spotting open trenches before storms or tracking inventory. However, like most players in this space, Gritt remains early-stage with limited deployments and unproven scalability across diverse projects. It does not yet dominate any unique technical moat beyond its focus on adaptability and integration. Future ambitions. Gritt aims to expand beyond solar farms into fastening panels, drilling posts, assembling racks and eventually tasks such as rebar tying for concrete work or broader infrastructure like data centres, bridges and roads. The founders ideally see their AI evolving into a full decision-support layer for site supervisors. "Helping our workforce build this infrastructure is one of the most meaningful missions we could be working on," said co-founder and CTO Dugar, "and so we're putting robotics and AI to work in places they've scarcely been before." Realistic timelines point to deeper solar automation in the next one to two years, with meaningful expansion into adjacent construction tasks likely taking three to five years as the company gathers more field data and refines its models. Broader infrastructure applications could stretch beyond that depending on the regulatory, safety and financial situation.

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.