AAstera Institute incubates and tests high-leverage ideas in their earliest stages to drive major social and systemic impact. It supports overlooked areas by funding and mentoring founders who can rapidly launch initiatives and create a snowball effect that scales impact. The program works by providing early-stage support, resources, and guidance to help ideas move from concept to action, enabling rapid experimentation and learning. Unlike more traditional funds that search for immediate returns, Astera distinguishes itself by focusing on high-leverage problems, seeking systemic change rather than incremental gains. Its goal is to maximize humanity's good in the most efficient possible way by accelerating breakthrough ideas that can reshape systems.
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CMU to host challenge to put scientific data to work with AI. In collaboration with university partners, Hugging Face, the Open Research Community Accelerator (ORCA) and the Astera Institute, CMU will host the inaugural ProtoStar Challenge, focused on energy and climate resilience. Media Inquiries Making scientific research publicly available is only the first step toward turning knowledge into real-world impact. At Carnegie Mellon University, expertise in artificial intelligence and longstanding leadership in open science are helping researchers address barriers that can prevent scientific data from being used more broadly. CMU will host the inaugural ProtoStar Challenge, a new initiative announced Oct. 29 that brings together Hugging Face, a platform for developing and sharing AI models and datasets, and universities participating through the Open Forum for AI (OFAI), an initiative founded at CMU. The challenge tackles a persistent obstacle in science: Datasets may be fragmented across systems, stored in incompatible formats or lack the documentation needed for researchers and AI tools to work with them effectively. Scheduled for Nov. 2-13, the challenge will focus on energy and climate resilience, one of the grand challenge areas guiding the university's Miami campus. The event offers an early opportunity to apply CMU Miami's interdisciplinary approach to urgent questions about energy systems, environmental change and extreme weather risks. Through a recurring series of challenges hosted by partner universities, ProtoStar will explore how publicly funded scientific resources can be more effectively used to advance research and address real-world problems. "Addressing challenges in energy and climate requires both knowledge of environmental systems and the computational expertise to analyze complex data," said Jignesh Patel, founding dean and vice president of CMU Miami. "The ProtoStar Challenge brings these strengths together around specific scientific problems. That kind of collaboration is central to our academic mission in Miami." Beyond access: making research usable. The inaugural challenge, Climate Risk Intelligence, will focus on using AI to analyze extreme weather trends and recommend climate adaptation strategies. Open to participants both within and outside CMU, participating teams will work with datasets containing historical temperature and precipitation records from 210 U.S. cities to explore how AI-ready scientific data can inform responses to changing climate conditions. The projects will serve as real-world tests of what makes scientific knowledge reusable. By documenting what works and where participants encounter obstacles, ProtoStar aims to generate evidence that can help improve the infrastructure supporting open science. Hugging Face brings its AI platform and expertise to the initiative, providing the technical infrastructure that enables participants to work with and build upon scientific datasets and models. To support CMU's participation, the Carnegie Mellon University Libraries has funded access to Hugging Face's Academia Hub, providing a shared environment for hosting and working with scientific datasets and AI models. The resource is available to students, faculty and staff across CMU's campuses and will initially serve as a central workspace for the ProtoStar challenges. "Universities bring a wealth of scientific expertise and knowledge to this collaboration," said Avijit Ghosh, lead technical AI policy researcher at Hugging Face. "ProtoStar gives us an opportunity to work directly with academic partners, learn how they use our tools and develop approaches that can make AI-ready open science more effective at scale." Alongside CMU, participating universities include Purdue University, Georgia Institute of Technology, Arizona State University and George Washington University. The collaboration also includes the Open Research Community Accelerator and the Astera Institute. Building on CMU's open science leadership. The collaboration reflects the Libraries' longstanding commitment to making research broadly accessible and usable, enabling scientific knowledge to move beyond institutional and technological silos to become the foundation for new discoveries. The Libraries' involvement is also rooted in its role in establishing OFAI, an initiative that brings together academic and nonprofit partners to advance human-centered, responsible and transparent AI. Sayeed Choudhury, associate dean for digital infrastructure and director of the Open Source Programs Office at the University Libraries, serves as OFAI's executive director and has helped bring together the university partners participating in ProtoStar. "Universities have played an important role in creating and hosting datasets for a range of scientific purposes," said Choudhury. "The OFAI's partnership with Hugging Face and ORCA represents an important opportunity to expand this role for AI-ready datasets and open models for open science. We encourage our researchers to consider sharing suitable datasets and AI models via Hugging Face, which is on the NIH list of generalist repositories. Ultimately, we view ProtoStar as an infrastructure building program that will advance open science and associated AI capabilities."
Rendezvous Robotics, a Colorado startup building spacecraft that assemble themselves in orbit, has raised $20 million in an oversubscribed seed round. MaC Venture Capital and Toyota Ventures led the round, its first priced funding. The University of Michigan Endowment, Astera, and Industrious Ventures also took part, along with existing investors Aurelia Foundry, ATX Venture Partners, and Mana Ventures. The money will fund next-generation spacecraft, flight demonstrations, and hiring. Its spacecraft launch as compact modular tiles that manoeuvre and connect in orbit, which lets them grow or change shape after launch. In 2028, seven tiles are set to join, separate, and reassemble in a new configuration. The technology builds on TESSERAE, developed at MIT by Ariel Ekblaw. A final International Space Station test, with 32 tiles, is planned for December 2026.
Update: We’ve secured an additional $12 million in combined funding from both the Alexa Fund and Eric Schmidt, former CEO of Google and Executive Chairman of Alphabet.
Seattle-based Mafix has raised $5.4 million in pre-seed funding led by Azolla Ventures, with participation from Counteract VC, Astera Institute, Plug and Play Ventures, Impact Science Ventures, and a Dutch family office. The industrial technology startup produces carbon-negative silicon fertilizers from silicate rocks. Mafix's proprietary technology, developed at Stanford University, converts inert silicate rock into minerals that weather in a single growing season. The fertilizer restores soil health, boosts crop yields, and removes CO₂ from the atmosphere as stable bicarbonate. The company will use the funding to commercially demonstrate production of 1,000 tonnes of fertilizer. Mafix partners with cement producers to utilise spare kiln capacity, eliminating the need for new facilities whilst reducing costs and supply chain complexities. The startup was founded by Jade Marcus and Dr Matthew Kanan, a Stanford chemistry professor.
Astera partnering with the National Science Foundation to support Open Science. Steven Moss Science Policy Lead Jul 22 2026 Today, the National Science Foundation (NSF) announced a partnership with the Astera Institute related to the first round of investment in building a national network of automated laboratory infrastructure, known as the Programmable Cloud Laboratories (PCL) Test Bed Initiative. The NSF will spend $380 million spread across 20 awardees to advance AI and automated instrumentation for scientific experimentation and data collection. The Astera Institute will contribute up to $20 million in matched investment and provide additional support and expertise to awardees to advance their open science practices to make their science more rapidly available, machine-readable, and reproducible. This is the first time Astera is directly partnering with the federal government on a scientific program, but this partnership is not something Astera fell into by accident. Astera is continually looking for ways to promote and empower its approach to experimenting with how science is conducted and funded, including needed changes to scientific publishing that better and more quickly capture the full range of scientific outputs. Improvements on this front are not only enabled by AI but will also help fundamentally advance AI-enabled scientific discovery. Astera's own Open Science Policy espouses the need to get scientific information out quickly using publishing platforms and practices that focus on scientific utility rather than legacy journal systems that are optimized for and constrained by human limitations. To this end, Astera has built an ecosystem of investments and opportunities around open science, including: * The Stacks, an open-access publishing platform Astera is building with the end-goal of experimenting with different ways of making it easier for scientists to generate, structure, and share reproducible data that are geared toward reuse * Funded Programs such as the diffUSE Project, the Deliverome Project, and OpenADMET, which are all working to collect and openly publish AI-ready scientific information * The Hidden Science Competition, a recently announced competition to encourage graduate students to publish useful research beyond the constraints of traditional peer-reviewed scientific journals Astera view its collaboration with the NSF as an important step in adding to the ecosystem of open and rapidly available scientific information that will help to propel innovation forward. Astera is excited about this program and mode of partnership because PCLs create an opportunity to advance a more data-centric model of open science. Rather than treating data as a secondary output released only after an embargo and narrative-centric publication, the PCL Test Bed Program can support workflows in which well-structured, reusable data and metadata are shared rapidly and treated as valuable scientific outputs in their own right. The instrumentation associated with the PCL Test Bed Program emphasizes automated experimentation in controlled environments, enabling researchers to design and test new tools for standardized data-generation processes and capture of high-quality metadata throughout each experimental workflow. This inherently makes experiments more reproducible and data more AI-ready. These capabilities can uniquely enable rapid deposition into repositories and allow researchers and AI agents to more reliably discover, interpret, and reuse scientific outputs at scale while also supporting alternative publishing workflows organized around utility, reuse, and continuous deposition rather than a single final publication event. Through this public-private collaboration, NSF, Astera, and the PCL Test Bed awardees can combine federal leadership, private support, and scientific expertise to make research outputs across fields more AI-ready, interoperable, and reusable - accelerating discovery, increasing the value of publicly funded research, and helping scientific advances translate more rapidly into societal benefit. Steven Moss Science Policy Lead
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Industries
Company Size
11-50
Company Stage
N/A
Total Funding
N/A
Headquarters
Berkeley, CA
Founded
2020
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