Boarding Pass
AutoPipe says agentic AI platform is “reducing work that takes architects weeks to one day”
Veterans of the IDF's Unit 8200 are building an agentic AI platform to automate the slow and manual process of cloud architecture design.
“Many reports show that 60 to 80 percent of IT projects fail, while over 90 percent of enterprises already operate in multi-cloud environments, yet only a small portion of architects truly know how to work across them effectively,” says Jonathan Or, Founder and CEO of Israeli startup AutoPipe. “The result is a painful gap between demand and execution.”
Co-founded by Or and VP of R&D Nadav Aharon, both veterans of the IDF's elite Unit 8200, AutoPipe is building an agentic AI platform that automates cloud and software infrastructure design and deployment. By combining AI agents with architectural best practices, the platform replaces a highly manual bottleneck of translating business needs into secure and scalable cloud environments, something that often stagnates enterprise technology delivery. Ultimately, it condenses a planning cycle that traditionally takes weeks into as little as a single day.
“We believe that just as AI copilots are changing software development, the same leap is now beginning in infrastructure,” Or continues. “That is the need AutoPipe is built to address.”
You can learn more about the company below.
Company Name: AutoPipe
Sector: Cybersecurity, AI, Cloud Infrastructure
Product/Service description:
AutoPipe is an Israeli startup building an Agentic AI platform that automates cloud and software infrastructure design and deployment. Its platform helps turn customer requirements into high quality technical deliverables such as solution designs, architecture documents, diagrams, and infrastructure planning outputs, reducing work that often takes architects days or weeks to one day.
AutoPipe addresses one of the biggest bottlenecks in enterprise technology delivery: the slow, expensive, and highly manual process of translating business and technical needs into secure, scalable cloud architectures. By combining AI agents with architectural logic and best practices, the platform helps teams respond faster, improve consistency, and shorten pre-sales and delivery cycles, as well as optimizing existing architectures in terms of cost, security performance and more.
The company’s vision is to become the AI copilot for modern architecture teams, enabling them to design cloud environments with greater speed, accuracy, and efficiency.
Founder Bios:
Jonathan Or (Co-Founder and CEO): In his early twenties Or co-founded AutoPipe with the vision of transforming how cloud projects are planned and delivered. He served in Unit 8200 and comes from the worlds of DevOps, cloud, AI, and infrastructure. He leads the company’s strategy, partnerships, and growth, with a strong focus on building an AI driven platform that helps organizations design cloud infrastructure faster, smarter, and more efficiently.
Nadav Aharon (Co-Founder and VP R&D): Aharon also served in Unit 8200 and has been involved in software development for many years. He leads the company’s product and engineering development and is responsible for turning AutoPipe’s vision into a scalable technology platform that automates complex cloud architecture and infrastructure workflows.
Year of Founding: 2024
Last Investment Round: $210K
Last Investment Stage: Pre-Seed
Date of Last Investment: 04/24/2026
Total investment to date: $210K
Investors: HCS Capital
Current number of employees: 3
Open positions: Software developers, product manager/A
Website: www.autopipe.cloud
Social Media: LinkedIn
How was the idea born?
The idea for AutoPipe was born during my service in a technology unit in Israeli military intelligence, where I worked on a large scale project still in use today. A big part of that work involved planning architectures and choosing the right infrastructure solutions.
At the same time, generative AI and ChatGPT were starting to transform the market. It became clear to me that while AI was changing software development, infrastructure planning was still slow, manual, and heavily dependent on expert work.
That is when the idea for AutoPipe was born: to build an AI platform that can help organizations plan and design infrastructure in a faster, smarter, and more automated way.
What is the need for the product?
Cloud and infrastructure projects are growing much faster than the supply of experts who know how to design and deliver them. As cloud adoption accelerates, organizations face a major skills gap, a shortage of qualified architects and engineers, and increasing complexity, especially in multi-cloud environments. This is reflected in the market. Many reports show that 60 to 80 percent of IT projects fail, while over 90 percent of enterprises already operate in multi-cloud environments, yet only a small portion of architects truly know how to work across them effectively. The result is a painful gap between demand and execution.
We believe that just as AI copilots are changing software development, the same leap is now beginning in infrastructure. That is the need AutoPipe is built to address.
How is it changing the market?
AutoPipe changes the market by turning infrastructure planning into a much faster, more scalable process. Projects that used to take weeks and months to complete, can now be done within the same day!
Until now, companies could only send a limited number of proposals, and only a small portion became real projects. With AutoPipe, they can deliver far more proposals, faster and at a higher quality, while reducing mistakes, improving security, and creating more optimized infrastructures. This helps companies win more business, take on more projects, and serve the growing market with fewer resource constraints.
How big is the market for the product and who are its main customers?
The market is massive. In the United States alone, there are about 485,000 IT consulting businesses, not including the broader ecosystem of MSPs, cloud professional services firms, system integrators, and similar providers. IBISWorld estimates the US IT consulting market at about $759.6 billion in 2025, while cloud professional services alone are estimated in the tens of billions of dollars globally and growing quickly.
Our primary target customers are exactly these firms: IT consulting companies, system integrators, MSPs, and cloud professional services providers that design and deliver infrastructure projects for others. Over time, we also see a strong opportunity to expand into a broader customer base, including large enterprises and major tech companies managing increasingly complex cloud environments.
Does the product exist already?
Yes, the product already exists and can be found on auto-pipe.com. To date, we have completed dozens of use cases with customers and have already generated paid activity around the product. In the near future, we expect to release a broader public version and offer it as a SaaS platform to the public market.
Who are the main competitors in this sector and how big are they?
The competitive landscape has evolved quickly. Until a year or two ago, the closest alternatives were mainly visual and collaboration tools such as Miro, Lucidchart, and Cloudcraft, which help teams sketch and document architectures.
More recently, we are seeing a new wave of AI companies in this space, including players like Catio, which focuses on AI powered architecture decision making and optimization. Catio presents itself as a copilot for tech architecture and has publicly stated it raised $3 million in 2025.
What AutoPipe does is different. We are not focused only on analyzing or optimizing existing environments after the fact. We aim to help design the architecture correctly from the start, turning business and technical requirements into better cloud and infrastructure plans, documents, and deployment ready outputs. We also expect more startups in stealth to emerge in this category as AI for infrastructure becomes a larger market.
What is the added value that the founders bring to the company and the product?
The team brings a strong mix of technical depth, market understanding, and entrepreneurial execution. Jonathan Or has been involved in technology from a young age, with experience across security, IT, development, DevOps, cloud, and infrastructure. He is an experienced and certified DevOps professional and an AWS Cloud Architect, with a deep understanding of the problem, the customer, and the market. He also brings a strong entrepreneurial mindset and has spoken internationally, including in Singapore, on AI and infrastructure topics.
Nadav Aharon brings deep software development experience and strong technical execution. He completed the elite Gamma Cyber program and has spent years building software systems, giving the company a strong product and engineering foundation.
Lidor Sorkin adds significant AI expertise. Coming from the Technion, where he studied mathematics and computer science, he helps lead the company’s AI direction and core intelligence capabilities.
Beyond the founding team, AutoPipe is supported by a strong advisory network, including experts with PhDs in AI and machine learning, as well as senior technology leaders, including a CTO of a Nasdaq listed public company. Together, this gives the company a rare combination of technical credibility, execution ability, and strategic guidance.
What will the money coming in from the round be used for?
The funding from this round will be used to complete the product, add key features, bring in more customers, grow sales, and support our entry into the US market. Our goal is to turn AutoPipe into a scalable SaaS platform with growing commercial traction, and by the end of this runway we expect to reach meaningful ARR and be positioned for the next stage of growth.
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