Cloud Computing Startups funded by Y Combinator (YC) 2026

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.

Maritime is cloud infrastructure for AI agents. We help companies give every customer an agent running in its own isolated, persistent computer, starting at $1 per agent per month. Maritime handles hosting, scaling, and sleep/wake automatically, so developers can run thousands of agents without managing the infrastructure.

**Problem** Humans used to need laptops to do their work. Now they prompt agents instead, and those agents need computers too: always-on, in large quantities, and with unlimited capabilities. Building and maintaining that yourself is far from trivial. **Solution** Boat provides powerful, simple, permissive Ubuntu VMs in the cloud. In a sandbox, an agent can work for long periods on code or on knowledge work like legal, research, reporting, and auditing. **Why Boat and not any other cloud VM?** 1. It is ready out of the box: every sandbox ships with a desktop, chrome, languages, docker, snapshots, and templates, plus a CLI, SDK, API, and control pane for your fleet. 2. It is permissive and paradigm agnostic: any number of agents can use any number of sandboxes. Agents can run inside or use sandboxes as an external tool. 3. It is expertly crafted: we manage everything from the individual CPU to the orchestration software, which makes sandboxes stable, persistent, scalable, and secure. 4. It is the best performance and price in town: our CPUs rank first on HPC benchmarks, and sandboxes are typically 9x to 18x cheaper than other leading sandboxes. **Further notes** Sandboxes are hosted in Europe, which keeps prices low, and more regions are coming. Unless compliance requires it, agents don't notice the region they run in.

Caution is a hosting platform for software you can't afford to get hacked. It simplifies and extends confidential compute, and lets developers deploy workloads to secure enclaves in minutes and give customers, auditors, and counterparties cryptographic proof that production is running the exact reviewed source code, build, configuration, and runtime - not an opaque binary controlled by a cloud operator or internal admin. Confidential computing hardware exists, but the tooling is too fragmented and incomplete for most teams to use well. Today, attestation often proves only that a binary has a certain hash; it does not prove what source code produced that binary. Building the missing deployment, reproducibility, and verification layer requires specialized security engineering and often locks teams into one cloud or hardware stack. Caution turns that into a simple git-based workflow that builds reproducible enclave images, provisions infrastructure, and lets anyone independently verify what is running. We built Caution after years securing high-risk systems through Distrust, where we worked with hedge funds, custodians, blockchain teams, cloud platforms, and critical grid operators on systems responsible for more than $600B in assets. Again and again, the same problem showed up: teams running mission-critical infrastructure could not reliably prove what was executing in production. As AI, fintech, healthcare, and regulated data collaboration move into the cloud, "trust us" is no longer enough. Caution is a general-purpose platform: if it runs on a server, it can run verifiably on Caution. We're starting where trust failures cost the most, but we believe verifiable compute will become the default way software runs, the same way HTTPS became the default way it's served. Infrastructure you can verify, not trust.

machine0 is a CLI for agent compute: `machine0 new mybox` gives your agent a full cloud VM, billed by the minute, from small up to 60 vCPU / 240 GB and 8×H100s. Agents drive it themselves via CLI or MCP. Agent workloads are moving from ephemeral to always-on. A coding agent working on a hard feature runs 6-8 hours. Auto-research agents run for days. machine0 is the environment in which these agents run.

Billions of machines are left untouched by agents and work individually. We connect them to unlock multiplayer cloud coding agents for work like engineering, math and research.

Lilac sells flexible GPU contracts and runs the software layer on top: monitoring, bare-metal provisioning, and managed Kubernetes and Slurm. We also run this layer for GPU cloud providers as their named operations and support partner.

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).

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

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.

Blaxel is the infrastructure foundation for autonomous agents. Engineered for the way agents actually run, Blaxel gives builders deep control over compute (sandboxes), storage (shared filesystem), and networking as built-in infra primitives. 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.

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

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

A stealth mode startup.

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!

Thunder Compute is a systems research lab with commercial focus. We productionize GPU virtualization research to provide step-change improvements in utilization to our cloud offering and partner GPU fleets.

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

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.

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.

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.

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

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.

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

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.

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.

Ravion is the easiest way to use AWS for agents and humans. Get a Vercel-like experience in your own AWS account, with one place to manage and monitor Terraform resources, builds, and deploys. Use your existing Terraform or start with our standard library of modules. Build and deploy applications, inspect logs and metrics, and customize modules and pipelines as your needs grow. Your agents get structured configuration, complete CLI and API access, and connected context across infrastructure and deployments. Reviewable plans, permissions, approval gates, and audit history keep your team in control. You get a production-grade AWS system without assembling every DevOps capability from scratch.

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.

Beam is cloud platform for AI inference, sandboxes, and agents.

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.

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.

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.

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.

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.

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

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.

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

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.

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.

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.

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.