AI agents are getting sharper, cloud infrastructure is becoming developer-first, and debugging workflows are turning conversational. This week’s tools show how far we’ve come; from one-click environments to self-improving experiments. All with security, speed, and scale in mind.
🏆 Funding Wins
Ciroos Banner (Source: LinkedIn)
Ciroos Raises $21M to Lighten the Load for SRE Teams
Ciroos just secured $21M in funding to expand its AI-powered SRE Teammate, a multi-agent system that helps site reliability engineers investigate anomalies, cut response times, and reduce toil. Built by seasoned execs from Cisco, AWS, and Gigamon, the platform integrates with third-party agents and observability tools to bring clarity to complex enterprise environments. The round was led by Energy Impact Partners, with backing from angels and operators across cloud, security, and AI.
“SREs carry a heavy burden—from middle-of-the-night incidents to hours of repetitive analysis and postmortems…We built our A
I SRE Teammate to end that toil…”
— Ronak Desai, co-founder and CEO of Ciroos.
🔧 Congratulations Ronak and team! Join the early access program at ciroos.ai
Infisical Picks Up $16M Series A to Scale Secure Dev-First Secrets Management
Secrets are the silent scaffolding of modern software, and Infisical is making sure they stay strong. This developer-first platform founded by Vlad Matsiiako 🇺🇦, Maidul Islam and Tony D., offers open-source secrets, identity, and access management that works across cloud and on-prem infrastructure. The team has raised $16M in a Series A led by Elad Gil, with participation from Y Combinator, Gradient Ventures, and founders of Datadog, Samsara, and Valor.
“We didn’t have to raise this round… But the opportunity keeps getting bigger. Secrets management is just the beginning. Over the past year, we launched Infisical PKI, SSH, KMS, and more. We’re building a complete, open-source security stack for secrets, identity, and access”
🌐 Big congrats Infisical! Find out all the details here and contact the deam for a demo of the product.
Helium Banner (Source: LinkedIn)
Helium Lifts Off with $2M to Build Self-Improving Software
Helium (YC S24) has raised $2M from Google’s AI fund to power self-improving software that boosts subscription revenue through continuous A/B testing. Instead of static experiments, Helium’s agents learn, adapt, and optimise paywalls in real time, already driving an average 40 percent uplift in revenue for fast-growing mobile apps. With a custom runtime, metrics engine, and memory system, the platform automates growth across the user journey. Founded by Zach Witzel, Anish Doshi, and Shishir Jakati, the team brings experience from Uber, Meta, and Alexa to a new era of AI-native experimentation.
🎈 Explore what they’re building here.
Archil Secures $6.7M to Reinvent Cloud Storage for the AI Era
Archil, formerly Regatta Storage, is rethinking cloud volumes with storage that is instantly mountable, shareable, and connected to huge S3 datasets. The $6.7M seed round was led by Felicis with support from Y Combinator, General Catalyst, and other top VCs and angels. Archil lets developers skip infrastructure headaches and start working with data in seconds, a game-changer for AI and Kubernetes workloads.
“…Archil isn’t a storage company, it’s a data company. Our mission isn’t just to store your data better and faster (though we’ll do that too). We want to blur the line between storing, managing, and using data — and make the process radically simpler. We want to become the data company.”
— Hunter Leath (Founder and CEO)
☁️ These guys are definitely one to watch. Find out more on their new updates here and join the waitlist.
Cursor Lands $900M to Push the Boundaries of AI Coding and Releases Cursor 1.0
Cursor from Anysphere has closed a staggering $900M Series C to expand its AI pair programmer and continue advancing AI coding research. Now used by more than half of the Fortune 500, Cursor recently hit $500M in ARR. The round was led by Thrive Capital, Accel, Andreessen Horowitz, and DST Global. The launch of Cursor 1.0 brings new features like Background Agents, Jupyter Notebook Support, and BugBot for automated PR reviews.
🖱️Watch Aman Sanger‘s announcement here. And read the full funding press release there.
🚀 3, 2, 1… Launches
Hugging Face Launches SmolVLA for MacBook-Ready Robotics AI
Hugging Face has launched SmolVLA, a compact yet powerful vision-language-action model designed for robotics. Trained on community-shared datasets via LeRobot, it rivals much larger models in both virtual and real-world tasks. With just 450M parameters, SmolVLA is small enough to run on a MacBook or a single consumer GPU. Hugging Face says it enables faster response times through asynchronous inference, helping robots process vision and action separately.
🤗 Test the model out for yourself on Hugging Face.
Croct Banner (Source: LinkedIn)
Croct Rolls Out CMS-Powered UI Components with Built-In A/B Testing
Croct has released CMS-powered UI components that work with Tailwind, Shadcn, and Material UI, letting teams personalise and experiment without hardcoding. These components are ready to drop into any React or Next.js project and come with built-in A/B testing, CMS integration, and design system compatibility. Co-founders Marcos Passos and Juliana Amorim are offering Product Hunt users a limited-time boost to the free tier, doubling MAUs from 10k to 20k.
🐊 Browse the new component library on Croct’s website.
Kashikoi Launches as a Simulation Engine to Benchmark GenAI Agents
Kashikoi, founded by Tim Michaud and Aaksha Meghawat, has officially launched as a simulation engine purpose-built for benchmarking generative AI agents. Replacing static prompts and outdated benchmarks, it enables developers to evaluate agent performance in dynamic, evolving environments. It uses auto-prompt tuning and rich scoring metrics to test behaviour, regression, and long-term reliability.
🧠 Join the waitlist or explore more at getkashikoi.com.
Blaxel Launches to Power the Next Trillion AI Agents
Blaxel (YC X25) has officially launched with a mission to reinvent cloud infrastructure for the AI age. Founded by Paul Sinaï, Thomas Crochet, Mathis Joffre, Christophe Ploujoux, Charles Drappier, and Nicolas Lecomte, the team previously sold their data platform to OVHcloud. Their experience showed them that legacy cloud architecture isn’t built to support the billions of autonomous AI agents coming online. Blaxel changes that with a computing platform designed for agents as users, offering everything from secure sandboxes with sub-25ms boot times to programmable model gateways and batch jobs.
💡 Explore the platform and book a demo.
Tropir Makes Debugging AI Pipelines Conversational
Tropir (YC X25), founded by Aarush Kukreja and Ayush Karupakula, is a new tool that turns AI pipeline debugging into a natural language conversation. Developers can say things like “This output sucks. Use the full eval set to fix it.” and Tropir will identify the failure, suggest and run fixes, and confirm results. Built-in tools like @faithfulness_eval support smart diagnosis and repair.
🔍 Start your trial or request access at tropir.com.
Augment Code Rolls Out Remote Agents with Deep Code Context
Remote Agents for all Augment Code VS Code users, letting developers spin up multiple cloud-based agents that understand their codebase inside and out. The standout feature is Augment’s proprietary context engine, which creates a real-time semantic map of the code and gives each agent expert-level understanding. That means better test coverage, smarter refactoring, and fewer flaky builds. Up to ten agents can now work in parallel on tasks like bug fixes and diagram generation, while you focus on higher-level work. CEO Scott Dietzen says this depth of context is what makes Augment’s agents truly autonomous.
💻 This is a big update for coders everywhere. See it in action and try it out here via the Augment Code blog.
GitPod Banner (Source: LinkedIn)
🔦 DevTool of the Week: GitPod
Officially founded in 2020 by Johannes Landgraf, Sven Efftinge and Moritz Eysholdt, Gitpod set out to fix a frustrating truth: writing code was the only creative workflow still stuck on local machines. With over 1.5 million developers now onboard, Gitpod’s open source Cloud Development Environments (CDEs) have helped teams become “always ready-to-code” from any device, anywhere.
Gitpod automates and standardises dev environments to eliminate setup pain, drift, and downtime, saving engineers up to five hours per week. Their push for ephemeral, secure, and collaborative workspaces has drawn backing from GitHub founder Tom Preston-Werner, General Catalyst, Shopify’s Tobi Lütke, and Datadog’s Olivier Pomel – securing the team $35m to date.
Last week, Gitpod unveiled Ona, a privacy-first AI engineering agent crafted for enterprises. Ona runs entirely within your network, spinning up ephemeral dev machines in your corporate cloud to handle scoped tasks in parallel; drafting pull requests, answering code questions, and executing code securely. For teams managing legacy code and sensitive data, Ona brings automation without compromise.
Landgraf announced announced this in his LinkedIn post last week:
Ona surfs on the intense work of the last 5 years scaling Gitpod‘s high-performance cloud development infrastructure to the largest financial institutions, sovereign wealth funds and healthcare multinationals. Most AI coding tools today prioritize speed over security, assuming where your code runs doesn’t matter. But for enterprise software, vibe coding on shared infrastructure doesn’t work.
As Gitpod scales toward becoming the enterprise engineering productivity platform, they continue to lead with purpose, transparency, and a joyfully high bar.
👏Congrats to the whole Gitpod team…. now over to you to explore Gitpod and sign up to request your Ona trial here.
Appreciate you reading. If you’ve seen a launch or funding round that deserves a spotlight, send it our way.
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