Home
Loading

aVenture is in Alpha: During this preview period, you should expect the research data to be limited and may not yet meet our exacting standards. We've made the decision to provide early access to our data to showcase the product as we build, but you should not yet rely upon it alone for your investment decisions.

aVenture is in Alpha: During this preview period, you should expect the research data to be limited and may not yet meet our exacting standards. We've made the decision to provide early access to our data to showcase the product as we build, but you should not yet rely upon it alone for your investment decisions.

Get in touch

  • Contact

  • Request a demo

  • Request data updates

  • Add a company

Research

  • Companies

  • Investors

  • People

aVenture

  • Sitemap

  • Feature requests

Member

Backed by

© aVenture Investment Company, 2026. All rights reserved.

San Francisco, CA, USA

Privacy Policy

aVenture Investment Company ("aVenture") is an independent research platform providing detailed analysis and data on startups, venture capital investments, and key industry individuals. It is not a registered investment adviser, broker-dealer, or investment advisor and does not provide investment advice or recommendations. The data provided by aVenture does not constitute recommendations or advice, whether by methodology, analysis, AI-generated content, or a statement written by a staff member of aVenture.

aVenture is not affiliated with any of the people, companies, organizations, government agencies, regulatory bodies, or investment funds we provide coverage for on this site unless explicitly stated otherwise. Users assume full responsibility for decisions made based on information obtained from this platform. Links to external websites do not imply endorsement or affiliation with aVenture. Any links that provide the ability to invest in a primary or secondary transaction in a company are for convenience only and do not constitute solicitations or offers to buy or sell an investment. Investors should exercise heightened precaution and due diligence when investing in private companies, especially those not independently audited.

While we strive to provide valuable insights with objectivity and professional diligence, we cannot guarantee the accuracy of the information provided on our platform. Before making any investment decisions, you should verify the accuracy of all pertinent details for your decision. To the fullest extent permitted by law, aVenture shall not be liable for any direct, indirect, incidental, consequential, or financial damages arising from use of this site, whether by consumers of its contents directly or by persons or organizations covered by our research, even if we are advised of the possibility. Our best-efforts processes and correction request forms do not create a warranty or duty of care.

Profiles on this platform may include content generated in part by large language models (LLMs, artificial intelligence) that aggregate publicly available sources (e.g., SEC EDGAR, public filings, press releases). Source attribution is provided where known; always verify statements and claims here against original sources before relying on any data. Content on our site may contain inaccuracies, omissions, or what are commonly called 'hallucinations' if generated in part or in full by AI / LLMs. The risk can also exist even when content is written by a human, as internal and third-party sources may also have inaccuracies for the same or different reasons. While we randomly audit a proportion of content, this is not exhaustive.

We recommend that an independent auditor be hired to verify the accuracy of the information before relying on it for any sensitive decisions. By accessing this platform, you agree not to rely solely on any information generated by AI, aggregated, or sourced or written otherwise on this site, for investment, financial, or other decisions. aVenture assumes no responsibility for inaccuracies, omissions, or hallucinations. You must independently verify all data from primary sources. Use of this platform constitutes your waiver of claims for reliance-based damages, including negligent misrepresentation. To report an error, request a correction, or dispute information about a company or individual, contact us via our request data updates form.

Loading
Loading
Home
News
SAEKI’s “microfactories” help large manufacturing scale up

From TechCrunch

By Catherine Shu

August 10, 2023

SAEKI’s “microfactories” help large manufacturing scale up

The architecture, engineering and construction industries involve giant concrete molds that are expensive, slow to manufacture and often only used a few times before being disposed. Robots-as-a-service startup SAEKI says its tech not only makes creating these molds faster, but also more cost-efficient. The Lupfig, Switzerland-based company is building what it says will be fully automated plants with industrial robots that use 3D tech to create components like aircraft wings and construction site installations.

SAEKI launched from stealth today with $2.3 million in seed funding led by Wingman Ventures, along with participation from Vento Ventures, Getty Capital and angel investors.

It is currently building its first production hub, which will have industrial robots that are capable of combining digital manufacturing methods, including 3D printing, milling and inspection. SAEKI says the robots each act as “microfactories,” which means they are self-contained units that can do all manufacturing steps.

SAEKI was founded in 2021 by Andrea Perissinotto, Oliver Harley and Matthias Leschok. Perissinotto told TechCrunch he became interested in manufacturing when he was a child, learning metalworking at his uncle’s workshop and building his first 3D printer when he was 12. He met Harley while building a large 3D printer for the maker space at ETH Zurich, where they were both studying, and they began working with Leschok to combine 3D printing and industrial robots.

The three were completing their studies during the pandemic when Perissinotto decided he wanted to leave academia and become an entrepreneur. SAEKI was founded in February 2021 to combine robotics with 3D printing, machining and inspection. During that process, Perissinotto said he and his co-workers learned that 3D printing for large items, like wind turbine blades, airplane and car parts, was still early in development and not at industry quality and scale yet. They decided to focus their new startup on the issue by creating fully automated factories with independent robotic cells that customers can book.


Want the top robotics news in your inbox each week? Sign up for Actuator here.


SAEKI produces the large components needed by industries like construction, aerospace and automotive, without needing to retool their machines. This is a time- and cost-saving advantage for components that are only used a few times during the building and manufacturing process.

For example, when constructing buildings out of concrete, builders first need a mold called a “formwork.” Unless it is being used for something standard, like a flat wall or ceiling, special formwork needs to be created from scratch. Typically, they are built by hand out of wood and scrapped after building is completed. SAEKI’s solution is to use recyclable thermoplastics that are 3D printed and processed by one of its robots and delivered to construction sites.

It also plans to work with the composites industry, which builds the lightweight but strong parts found on airplanes, cars and bikes, among other things. These parts are usually made in complex molds created from metal or composite materials. Perissinotto said this creates a bottleneck for companies because the molds are expensive and need a long time to build. SAEKI’s goal is to reduce lead time costs and use their tooling processes to enable companies in the composites industry to have faster hardware production cycles.

Since SAEKI’s robots act as “microfactories,” this means its customers do not have to purchase another new machine or take up more floor space in their facilities. Perissinotto said this is why SAEKI decided to use a robots-as-a-service business model, since that allows customers to just purchase the amount of time they need with a machine.

SAEKI is currently finalizing its first pilot projects in the architecture, engineering and construction (AEC) sector, with customers using its 3D printed formwork to create custom concrete elements. Its target AEC clients include construction companies, pre-casters, interior designers and architects.

Perissinotto said SAEKI is already generating revenue because of its pilot projects. It is building its first factory in Switzerland, but its robots are already operational and have already been producing parts for the last few months.

In terms of competition, Perissinotto said additive manufacturing has been a “prominent topic” for years now, and even though there has been significant advancement in tech, market acceptance has not fully matched that progress, due in large part to the cost of the machinery involved. Even though additive manufacturing has gained some traction in the industrial market, it is still in the early stages when it comes to large-scale applications, he added. Companies that offer machines for large-scale additive manufacturing include CEAD B.V., Caracol AM and Therwood Inc, but Perissinotto said SAEKI’s customers want a different approach.

“What we consistently hear from people and companies is a desire for faster more sustainable solutions for their parts,” he said. “Merely offering savings through a multi-million dollar machine that requires extensive space and additional resources, including hiring personnel well-versed in new processes and materials, is not appealing to them.”

These robotics companies are hiring

Most Recent

Travis Kalanick’s robotics company raises $1.7B, led by a16z

Travis Kalanick’s robotics company raises $1.7B, led by a16z

Uber is also investing in Travis Kalanick's company Atoms, which has made gauzy claims about using industrial AI to modernize the world.

Jul 22, 2026

Arcee, a US open source AI lab, says Chinese models are not inherently dangerous

Arcee, a US open source AI lab, says Chinese models are not inherently dangerous

As Chinese AI models grow in capability and popularity among U.S. companies, the arguing over what should be done about them has reached a fever pitch.

Jul 22, 2026

Cascade raises $3.5M to help construction firms find and win projects

Cascade raises $3.5M to help construction firms find and win projects

a16z Speedrun, Ada Ventures, and Snowball VC have invested in Cascade's $3.5 million seed round.

Jul 22, 2026

The browser wars aren’t about search anymore — here are the best alternatives to Chrome and Safari

The browser wars aren’t about search anymore — here are the best alternatives to Chrome and Safari

We’ve compiled an overview of some of the top alternative browsers available today aiming to challenge Chrome and Safari.

Jul 22, 2026

Similar Posts

We are entering a golden age of robotics startups — and not just because of AI

We are entering a golden age of robotics startups — and not just because of AI

The robotics startup market has matured over the last decade and the cost to produce robots has gone down significantly.

Sep 12, 2025

Collecting robot training data is dirty, unglamorous work. Some AI labs are already paying XDOF to do it.

Collecting robot training data is dirty, unglamorous work. Some AI labs are already paying XDOF to do it.

TechCrunch reports that XDOF has emerged from stealth with a $70 million funding round and is building data pipelines, collection tools, and annotation systems for robotics foundation models. The company was founded in October 2024 and counts frontier AI labs among its customers.

Jun 16, 2026

Alloy is bringing data management to the robotics industry

Alloy is bringing data management to the robotics industry

Australia-based Alloy thinks it can help robotics firms with their data problem: The startup is building data infrastructure to help companies process and organize all the data their robots collect.

Sep 23, 2025

Khosla-backed robotics startup Genesis AI has gone full stack, demo shows

Khosla-backed robotics startup Genesis AI has gone full stack, demo shows

Genesis AI, a startup that raised a $105 million seed round to build foundational AI for robotics, has unveiled its first model, GENE-26.5, but also a demo showcasing a set of robotic hands performing complex tasks.

May 6, 2026

Most Recent

Travis Kalanick’s robotics company raises $1.7B, led by a16z

Travis Kalanick’s robotics company raises $1.7B, led by a16z

Uber is also investing in Travis Kalanick's company Atoms, which has made gauzy claims about using industrial AI to modernize the world.

Jul 22, 2026

Arcee, a US open source AI lab, says Chinese models are not inherently dangerous

Arcee, a US open source AI lab, says Chinese models are not inherently dangerous

As Chinese AI models grow in capability and popularity among U.S. companies, the arguing over what should be done about them has reached a fever pitch.

Jul 22, 2026

Cascade raises $3.5M to help construction firms find and win projects

Cascade raises $3.5M to help construction firms find and win projects

a16z Speedrun, Ada Ventures, and Snowball VC have invested in Cascade's $3.5 million seed round.

Jul 22, 2026

The browser wars aren’t about search anymore — here are the best alternatives to Chrome and Safari

The browser wars aren’t about search anymore — here are the best alternatives to Chrome and Safari

We’ve compiled an overview of some of the top alternative browsers available today aiming to challenge Chrome and Safari.

Jul 22, 2026

Similar Posts

We are entering a golden age of robotics startups — and not just because of AI

We are entering a golden age of robotics startups — and not just because of AI

The robotics startup market has matured over the last decade and the cost to produce robots has gone down significantly.

Sep 12, 2025

Collecting robot training data is dirty, unglamorous work. Some AI labs are already paying XDOF to do it.

Collecting robot training data is dirty, unglamorous work. Some AI labs are already paying XDOF to do it.

TechCrunch reports that XDOF has emerged from stealth with a $70 million funding round and is building data pipelines, collection tools, and annotation systems for robotics foundation models. The company was founded in October 2024 and counts frontier AI labs among its customers.

Jun 16, 2026

Alloy is bringing data management to the robotics industry

Alloy is bringing data management to the robotics industry

Australia-based Alloy thinks it can help robotics firms with their data problem: The startup is building data infrastructure to help companies process and organize all the data their robots collect.

Sep 23, 2025

Khosla-backed robotics startup Genesis AI has gone full stack, demo shows

Khosla-backed robotics startup Genesis AI has gone full stack, demo shows

Genesis AI, a startup that raised a $105 million seed round to build foundational AI for robotics, has unveiled its first model, GENE-26.5, but also a demo showcasing a set of robotic hands performing complex tasks.

May 6, 2026