Cloud Computing Startups funded by Y Combinator (YC) 2026

May 2026

Browse 40 of the top Cloud Computing startups funded by Y Combinator.

We also have a Startup Directory where you can search through over 5,000 companies.

  • Mixpanel
    Mixpanel
    Y Combinator LogoS2009
    Active • 410 employees • San Francisco, CA, USA
    Mixpanel is analytics for builders that need answers from their data at their fingertips. When everyone in the organization can see — and learn from — the impact of their work, they are poised to make better decisions. Companies like OpenAI, Netflix, Pinterest, sweetgreen, CNN, samsara, Uber, and Yelp use Mixpanel to understand their customers, measure progress, and endeavor to make better decisions.
    analytics
    databases
    cloud-computing
    data-visualization
    b2b
  • Limrun
    Limrun
    Y Combinator LogoP2026
    Active • 3 employees • San Francisco, CA, USA
    Coding agents in the cloud don't work for majority of teams who require native capabilities; they lack XCode for iOS, Emulator for Android, Unity for game development teams. We are on a mission to cloudify every local development utility so that regardless of where it runs, your agent can compose an ideal set of capabilities on the fly so you don't need to run it on your laptop. Today, we provide remote services such as XCode, iOS & Android simulators to enable coding agents running in any sandbox to be able to build and iterate over mobile apps, too. Replit, Rork, Momentic, Minitap and more agent companies have built mobile development and testing experiences on Limrun platform. Coconote (Quizlet), SorceJobs (W25) and more companies with mobile apps use Limrun with their cloud agents, merging PRs without having to check out the code locally.
    cloud-computing
    b2b
    enterprise-software
    artificial-intelligence
  • Zibra Labs
    Zibra Labs
    Y Combinator LogoP2026
    Active • 2 employees • San Francisco, CA, USA
    Quant research is generating candidate strategies orders of magnitude faster than backtesting infrastructure can evaluate them. AI has further accelerated alpha research from a handful of signals per quarter to hundreds per day. The bottleneck has moved from researcher time to compute throughput. We're building large HPC clusters (100 - 50,000 nodes) that can run up to 6.4M tasks in parallel across multiple cloud providers on spot instances. Our goal is to make backtesting strategies simple, fast, and cheap at scale.
    cloud-computing
    infrastructure
    fintech
    artificial-intelligence
  • smol machines
    smol machines
    Y Combinator LogoP2026
    Active • 1 employees • San Francisco
    Smol machines solve the problem of "but app works on my machine" by shipping the machine. Smol machine enables devs to ship a lightweight virtual machine with any software, similar to how Electron ships an entire browser with the web app.
    cloud-computing
    infrastructure
  • ProjectX
    ProjectX
    Y Combinator LogoP2026
    Active • 6 employees • San Francisco
    Every computer ever made forces you to do one thing at a time. One cursor. One keyboard. One Hardware. One app in focus. Fifty years. Nobody questioned it. We did. We started over. We built InfinityOS, a fundamentally new computer OS on the cloud from ground up. Infinity runs every app in its own independent computer -- own GPU, own input, own environment. Windows and Linux in the same session. Humans and agents working side by side. No concurrency ceiling. Cold start in seconds. runs on the browser of any device..
    infrastructure
    cloud-computing
    devops
    marketplace
    ai
  • Kestrel AI
    Kestrel AI
    Y Combinator LogoF2025
    Active • 2 employees • San Francisco, CA, USA
    Kestrel is an AI-native cloud incident response platform that brings self-healing to cloud infrastructure. It monitors cloud and kubernetes infrastructure 24/7, finds root causes, and generates exact fixes - so incidents get resolved in seconds instead of hours.
    infrastructure
    kubernetes
    security
    aiops
    cloud-computing
  • Lilac
    Lilac
    Y Combinator LogoS2025
    Active • 4 employees • San Francisco, CA, USA
    Lilac taps idle GPUs from cloud providers and enterprises, giving startups and researchers cheaper inference while letting companies monetize unused capacity. Fully automated with Kubernetes integration.
    cloud-computing
    infrastructure
    machine-learning
    ai
  • KERNEL
    KERNEL
    Y Combinator LogoS2025
    Active • 6 employees • San Francisco, CA, USA
    Kernel is crazy fast, open source infra for AI agents to access the internet 🧠🕸️ - Built on unikernels for crazy fast cold starts and low resource usage - Sub-150ms cold starts on managed headful browsers - Built-in stealth mode with residential proxies and automatic CAPTCHA solving - Full observability: session recording, live view, and full logs - Persistent sessions that maintain cookies and auth across invocations - Native support for all browser and computer use frameworks - SOC 2 compliant and HIPAA-ready Trusted by Cash App, Rye, and 1000+ others. Backed by Accel & Y Combinator (S25).
    developer-tools
    cloud-computing
    infrastructure
    ai
  • Luminal
    Luminal
    Y Combinator LogoS2025
    Active • 5 employees • San Francisco
    Luminal builds an ML framework and compiler that generates GPU code. Our stack 10x's model speed while simplifying deployment and cutting idle GPU costs Github: https://github.com/luminal-ai/luminal Discord: https://discord.gg/APjuwHAbGy
    artificial-intelligence
    aiops
    cloud-computing
    developer-tools
  • Aravolta
    Aravolta
    Y Combinator LogoP2025
    Active • 4 employees • San Francisco, CA, USA
    Aravolta provides a single pane of glass software for data centers to increase uptime, reduce costs, and improve performance. A single utility node onboards every asset within an hour and detects hardware failures, hotspots, and other issues. It also generates reports on important metrics like Power Usage Effectiveness (PUE), energy metering, resource utilization, and much more.
    monitoring
    cloud-computing
    enterprise-software
  • Blaxel
    Blaxel
    Y Combinator LogoP2025
    Active • 8 employees • San Francisco, CA, USA
    Blaxel is the perpetual sandbox platform for AI agents that need to run code fast. Unlike traditional sandboxes that expire or suffer from cold starts, our sandboxes automatically scale to zero after 1s of inactivity and resume in under 25ms with full memory state preserved — allowing you to keep millions of secure sandboxes on standby indefinitely. We also co-locate your agent logic alongside these sandboxes to eliminate network overhead, delivering near-instant latency for end users.
    cloud-computing
    infrastructure
    artificial-intelligence
    developer-tools
  • Tinfoil
    Tinfoil
    Y Combinator LogoP2025
    Active • 5 employees • San Francisco, CA, USA
    Tinfoil makes it easy to make your AI workloads secure and provably private. You get the privacy of on-prem deployments, while running on the cloud. It's like end-to-end encrypted messaging but for your AI applications. We’ve built a full-stack platform on top of the latest NVIDIA GPUs offering confidential computing capabilities, meaning that you don’t have to trade off performance for privacy. We integrate a suite of recent advances in secure hardware technologies, in particular NVIDIA’s confidential compute mode available on Hopper and Blackwell. When combined with Tinfoil’s software stack, companies can prove their security claims like "we can't see and don’t log your queries.” Tinfoil guarantees that all data always stays private and cannot be accessed by anyone other than the end user -- not even by Tinfoil or the cloud provider it’s processed on. Everything can be made end-to-end encrypted and private with Tinfoil. The founding team combines deep academic and industry experience in security and Internet protocols. Tanya was previously a systems engineer at Cloudflare, where she built Internet security protocols used by billions, and contributed to the Workers AI platform. Jules and Sacha hold PhDs from MIT, where they worked on secure hardware, cryptography, and privacy technologies. Jules has also worked at NVIDIA on their confidential computing team. Tinfoil was born from our personal frustration with the false choice between access to powerful AI and the massive data privacy implications of deeply integrated AI. AI is a universal tool that becomes part of our personal lives and business workflows. In the process, it needs access to all personal, private, and proprietary data. Right now, the only solutions are data processing agreements (i.e., "pinky promises"), band-aids like PII redaction that don't work in practice, or AI locally/on-prem, which doesn't scale. Tinfoil promises to unlock significantly deeper AI adoption and integrations by making it easy to obtain true privacy, just as TLS on the Internet enabled e-commerce to flourish by securing credit cards on the network. Today we offer several self-serve products: - A consumer-facing chatbot that keeps your chats end-to-end encrypted and provides zero-access inference with powerful open-source models like Kimi, Gemma, and GLM. You can try it out for free: https://chat.tinfoil.sh - A developer-friendly API that allows you to build AI applications where all user data is kept private and we as the inference provider cannot see any of the prompts. Our SDKs make sure that all relevant security measures are checked for you before even sending a single byte of data. Learn more:https://docs.tinfoil.sh - An advanced confidential computing platform we call Tinfoil Containers that allows you to secure any Docker application. We make it easy to deploy your own logic and applications inside secure enclaves and prove to the world what code is running inside. This enables attested workloads and publicly verifiable privacy policies for sensitive applications. Learn more: https://tinfoil.sh/containers
    privacy
    cloud-computing
    developer-tools
    security
    artificial-intelligence
  • TensorPool
    TensorPool
    Y Combinator LogoW2025
    Active • 3 employees • San Francisco
    Our CLI makes ML model training effortless - just describe your job, and we handle GPU orchestration and execution at half the cost of major cloud providers.
    developer-tools
    saas
    cloud-computing
    aiops
    devops
  • Archon
    Archon
    Y Combinator LogoW2025
    Active • 3 employees • San Francisco, CA, USA
    Archon helps software companies sell to the government by cutting the required federal compliance timeline (called FedRAMP) down from 16 to 6 months and cuts costs by $1M per company. Email us at inquiries@archon.inc
    govtech
    compliance
    cloud-computing
    cybersecurity
  • Hyrex
    Hyrex
    Y Combinator LogoS2024
    Active • 3 employees • San Francisco, CA, USA
    Hyrex is a task orchestration framework that uses PostgreSQL (or Hyrex Cloud) as a durable task queue. Define tasks in Python or TypeScript, send them to be processed asynchronously, and let Hyrex handle the rest. Hyrex tasks are COLD: Controllable, Observable, Large-Scale, and Durable!
    cloud-computing
    infrastructure
    aiops
    developer-tools
  • Thunder Compute
    Thunder Compute
    Y Combinator LogoS2024
    Active • 4 employees • San Francisco, CA, USA
    One-click GPU instances with persistent storage, snapshots, and hot-swappable hardware, with the lowest prices anywhere.
    infrastructure
    cloud-computing
    developer-tools
    data-science
    artificial-intelligence
  • NetworkOcean
    NetworkOcean
    Y Combinator LogoS2024
    Active • 4 employees • San Francisco, CA, USA
    We build underwater data centers to cut power usage by up to 30%, operating GPUs cheaper and more sustainably. Our 1 MW capsule is being tested underwater in the SF Bay
    hard-tech
    cloud-computing
    climatetech
    hardware
    artificial-intelligence
  • Freestyle
    Freestyle
    Y Combinator LogoS2024
    Active • 5 employees • San Francisco, CA, USA
    Ben and Jacob met in Calculus class in 10th grade, and tried founding a startup in high school — it didn’t go anywhere. During high school, Ben lead the frontend team for the World Health Organization’s COVID-19 App Team. After high school, Jacob went to Apple and Ben went to college. When there was an opening on his team, Jacob had Ben apply, and Ben left UChicago to go work at Apple. They spent about 2 years at Apple as Senior Engineers in the Conversational Engineering Department, before leaving to found Freestyle. Freestyle is directly inspired by what they saw as their failures of the tech they worked with at Apple.
    open-source
    cloud-computing
    developer-tools
    web-development
  • Starcloud
    Starcloud
    Y Combinator LogoS2024
    Active • 12 employees • Redmond, WA, USA
    Starcloud is building data centers in space, initially to provide GPU compute to other satellites, and later to address the rapidly growing demand for energy caused by the deployment of AI. Falling launch costs give Starcloud access to abundant energy, radiative cooling, and the ability to rapidly scale in space. In November 2025, just 21 months after founding, Starcloud launched its first satellite, Starcloud-1 to space. This has an Nvidia H100, which is 100x more powerful GPU than has ever been operated in space before. With this, they became the first entity to train an LLM in space and the first to run a version of Gemini in space. Starcloud will soon also run high-powered inference on Capella SAR data on orbit for the first time. Starcloud is launching its second satellite in October 2026, which will have 100x the power generation of the first and generate more cash than it costs to build and launch. Starcloud expects that within 10 years, most new data centers will be being built in space for the energy. In March 2026, Starcloud raised a $170M Series A led by Benchmark, becoming the fastest unicorn in YC history, just 17 months after demo day.
    cloud-computing
    satellites
    hard-tech
    climate
    ai
  • Ubicloud
    Ubicloud
    Y Combinator LogoW2024
    Active • 15 employees
    Ubicloud is an open source cloud that can run anywhere. Our cloud services include elastic compute, block storage, virtual networking, managed Postgres, K8s, AI inference, and powerful IAM. Ubicloud provides these services on bare metal providers, such as Hetzner, Leaseweb, or AWS Bare Metal. You can self-host our software or use our managed service to reduce your cloud costs by 3-10x.
    ai
    cloud-computing
    databases
    infrastructure
  • Cedana
    Cedana
    Y Combinator LogoS2023
    Active • 5 employees • New York, NY, USA
    Cedana (YC S23) brings hyperscaler and frontier-lab orchestration capabilities for AI workflows. Our core capability is live migration for CPUs and GPUs workloads. This increases cost savings up to 80%, accelerates time to first token 2-10x, and enables stateful reliability of training jobs even through catastrophic GPU failures. We've integrated our solution into K8s, and support Kueue and Slurm for training distributed jobs, and Kserve for serving inference.   OpenAI, Meta and Microsoft have flavors of these capabilities internally and we’re bringing them to everyone.  Our vision is to transform cloud compute into a real-time, arbitraged commodity.  https://www.cedana.ai
    infrastructure
    developer-tools
    deep-learning
    cloud-computing
    ai
  • Omnistrate
    Omnistrate
    Y Combinator LogoW2023
    Active • 15 employees • Redwood City, CA, USA
    Omnistrate is a cloud platform to SaaS-ify your docker image in minutes instead of years. Let’s say you have an open-source software, and you want to monetize your invention by building a multi-cloud SaaS solution. You can either spend years doing it yourself or use Omnistrate to do it in no time. Get started today by simply importing your existing docker-compose.
    saas
    cloud-computing
    infrastructure
    b2b
    developer-tools
  • infra.new
    infra.new
    Y Combinator LogoW2023
    Active • 3 employees
    Our AI agent helps teams save money and ship faster on AWS, GCP, and Azure. Visit infra.new to try free without signing up! - Generate reliable cloud configuration - View detailed cost estimates and system diagrams - Optimize everything with AI
    cloud-computing
    b2b
    developer-tools
    saas
    artificial-intelligence
  • Diversion
    Diversion
    Y Combinator LogoS2022
    Active • 14 employees • San Francisco, CA, USA
    Diversion is a modern alternative to Perforce and Git, designed for digital entertainment industries like games, virtual production, animation, and 3D/VR. It streamlines collaboration by providing GitHub-like version control for large files and complex projects, integrating seamlessly with tools like Unreal Engine. Built for studios handling massive assets, Diversion ensures efficient workflows, secure storage, and effortless tracking of project history, making it the go-to platform for creative teams managing evolving digital content.
    saas
    enterprise
    cloud-computing
    virtual-reality
  • Strong Compute
    Strong Compute
    Y Combinator LogoW2022
    Active • 8 employees • Sydney NSW, Australia
    Strong Compute is building the future of Cloud Computing, priced by performance not consumption. Our software and hardware optimizations speed up neural network development 10x-1000x, file transfer 1000x, instance start time 10x. We're starting with AI and are aimed at the $500B cloud market.
    artificial-intelligence
    machine-learning
    cloud-computing
  • Flightcontrol
    Flightcontrol
    Y Combinator LogoW2022
    Active • 6 employees • Dayton, OH, USA
    The most reliable, powerful, and flexible PaaS, because we deploy to your AWS. No black box, lock-in, or AWS markups.
    cloud-computing
  • Brainboard
    Brainboard
    Y Combinator LogoW2022
    Active • 9 employees • New York, NY, USA
    Brainboard is a collaborative and end-to-end solution for engineers to visually design & manage their Cloud infrastructures. We allow companies to lower the learning curve while moving to IaC, build a self serve model, have a service catalog to not reinvent the wheel. Both technical profiles with 25+ years of combined expertise and after working together at a major French Cloud provider, Chafik and Jeremy launched Brainboard in 2020.
    devops
    developer-tools
    cloud-computing
    infrastructure
  • Beam
    Beam
    Y Combinator LogoW2022
    Active • 5 employees • New York, NY, USA
    Beam is cloud platform for AI inference, sandboxes, and agents.
    developer-tools
    open-source
    artificial-intelligence
    cloud-computing
  • LogisticsOS
    LogisticsOS
    Y Combinator LogoW2021
    Active • 6 employees • Ontario, CA, USA
    LogisticsOS provides route optimization and fleet dispatching algorithms as services to let any last-mile company offer same-day and next-hour delivery. We are the creators of the route optimization engine that both FedEx and USPS are using on production today. We increase profit per delivery by 15% and optimize thousands of deliveries in seconds using 30X faster algorithms.
    delivery
    saas
    api
    logistics
    cloud-computing
  • Porter
    Porter
    Y Combinator LogoS2020
    Active • 18 employees • New York, NY, USA
    Porter is the easiest way to deploy and scale your applications on AWS, Azure, and GCP. Connect your own cloud account, and Porter will provision and manage the underlying infrastructure for you - simply point at your repository and Porter will handle the rest, from building your application to autoscaling it. Under the hood, Porter manages the same kind of infrastructure that growth-stage companies use and allows you to scale without DevOps overhead.
    developer-tools
    saas
    b2b
    cloud-computing
  • Vorticity
    Vorticity
    Y Combinator LogoS2019
    Active • 10 employees • Redwood City, CA, USA
    Many pressing problems facing humanity can be solved with faster scientific compute. Currently, it takes billions of dollars to design and develop a new fusion reactor, a hyper-sonic airplane or a new cancer treatment. This is because scientists and engineers have to build very expensive things before they even know if their ideas work. But what if we can simulate the workings of these ideas (and more) on computers first and have high confidence that it works before we build really expensive things? The work of humanity's greatest scientists over the years has given us the physics and math to do this. The problem is that we simply do not have the computing power to solve these big problems. To address this, the Vorticity Inc is re-imagining scientific computing all the way down to processor architecture and system design. Our proven technology is already helping the energy, life sciences and aerospace industries.
    cloud-computing
  • FastJVM
    FastJVM
    Y Combinator LogoW2017
    Active • 3 employees • Palo Alto, CA, USA
    FastJVM analyzes JVM bytecode and applies provably safe optimizations such as automatic parallelization. On some workloads it already delivers up to 10× speedups; the goal is to generalize these gains across the JVM.
    devops
    cloud-computing
  • Sails Co.
    Sails Co.
    Y Combinator LogoW2015
    Active • 4 employees • Austin, TX, USA
    The Sails Company was founded by the original author and maintainers of the Sails framework. In addition to free and open-source software, The Sails Company offers a full-service web & mobile studio and professional support for the tools we maintain.
    web-development
    cloud-computing
    open-source
  • Rescale
    Rescale
    Y Combinator LogoW2012
    Active • 250 employees • San Francisco, CA, USA
    Rescale is a cloud-based platform for computational engineering and R&D, that empowers engineers and researchers to accelerate discovery, testing, and optimization. We democratize access to the latest technologies that drive greater efficiency and competitiveness, including high performance computing, simulation, modeling, AI/ML, and digital twins. The majority of industry leaders worldwide use Rescale as the backbone of R&D, connecting the digital thread of new product innovation to develop products that enrich humanity, from autonomous vehicles to drug discovery. Rescale customers include 7 of the top 10 automotive companies and 3 of the top 6 life science companies. Rescale’s full-stack, open platform automates systems, data, and workflows into a user-centric experience, so customers can focus on innovation. Choose from 1000+ pre-installed applications for multiphysics simulation and AI/ML-assisted design exploration, including commercial, open-source, and custom software. We offer the largest global network of hyperscale and specialty cloud infrastructure to leverage the latest CPU, GPU, and other specialized architectures. Rescale is enterprise-ready to enable any size organization to achieve their digital transformation goals–with unified management that gives IT teams full visibility and control of hybrid-cloud operations. Rescale’s intelligent automation gives customers flexibility to improve performance and reduce costs of computing, while our enhanced security and compliance ensures industry-leading standards are met from end to end. Getting started is simple, flexible, and free to try. Our team of experts is ready to help you achieve your most ambitious engineering goals – schedule a demo today. Join us and help us build products that change the world: www.rescale.com/careers
    cloud-computing
  • Arroyo
    Arroyo
    Y Combinator LogoW2023
    Acquired • 2 employees • Berkeley, CA, USA
    Arroyo is a serverless stream processing platform built on top of the open-source Arroyo streaming engine. We allow companies to transform, filter, aggregate, and join their Kafka streams in real-time just by writing SQL. We charge purely based on usage, with no fixed costs or clusters to manage. In 2025, Arroyo was acquired by Cloudflare and now powers Cloudflare Pipelines
    cloud-computing
    saas
    developer-tools
    open-source
  • Jamsocket
    Jamsocket
    Y Combinator LogoW2022
    Acquired • 5 employees • New York, NY, USA
    We are a platform for high-performance browser-based applications. We make it easier for developers to deploy apps that give every user a dedicated backend. This is a system design that apps like Figma and GitHub codespaces use, but it's currently difficult for others to replicate it. We make it as easy as deploying a traditional web server.
    cloud-computing
  • Cloudthread
    Cloudthread
    Y Combinator LogoS2021
    Acquired • 8 employees • San Francisco, CA, USA
    Cloudthread is an analytics platform that helps engineering teams build cost efficiently in the cloud. We were behind Lyft's internal cloud cost management system and now we use that deep expertise to help organizations save hours of engineering time, reduce cloud bills, and prevent costly re-architectures.
    b2b
    developer-tools
    cloud-computing
    workflow-automation
    finops
  • Terark
    Y Combinator LogoW2017
    Acquired • 2 employees • Beijing, China
    Terark built a new storage engine for Database and Data Systems. Our technology enables direct search on highly compressed data, with 200X faster read performance and more than 10X storage savings (better than Google's LevelDB, Facebook's RocksDB), getting larger scalability with lower cost for big data applications. Alibaba is our paying customer, and we are a YCombinator company.
    big-data
    cloud-computing
  • Aptible
    Aptible
    Y Combinator LogoS2014
    Acquired • 25 employees • New York City
    At Aptible, we envision a world where developers achieve more with less infrastructure. We’re building the platform that empowers developers at companies of all stages of development to move beyond the traditional method of managing infrastructure—DIY with expert infrastructure and platform engineers on AWS, GCP, or Azure. We’ve done this through our secure, compliant, reliable, and scalable Platform as a Service that’s been used by thousand of developers, hundreds of companies, and dozens of publicly traded and unicorn companies since 2013.
    devops
    web-development
    cloud-computing
    devsecops
    developer-tools