AI Clearing specializes in construction progress monitoring through a SaaS platform that uses machine learning technology for digital field construction progress tracking. The platform integrates drone-captured data to generate comprehensive 3D site reports covering 100% of the construction area.

AI Clearing

Civils.ai provides an AI tool that automates repetitive checking and reporting processes on construction projects. It customizes bots to extract construction data and answers key questions while verifying compliance with building codes and project requirements.

Civils.ai

Hartera Robotics is involved in robotics technology, although specific details about their offerings are not provided.

Hartera Robotics

AI Clearing enables the construction industry to produce more and achieve higher profits by applying Artificial Intelligence. Our AI Clearing CORE allows fully automated construction progress tracking and real-time quality control. It has been deployed by industry leaders in the US, Canada, Europe, and the Middle East.

Tera Ventures

Innovation Nest

Inovo VC

FJ Labs

Prudence

Roman Smolevskiy

We are thrilled to announce that AI Clearing has been included in the Reality Capture TOP 50 list prepared by BuiltWorlds !

Our company ranks at the top of the Software - Infrastructure category. The ranking was created based on surveying contractors utilizing innovative solutions, research and case studies. 

Recent BuiltWorlds’s research states, that three-quarters of construction and engineering companies use site capture software to some extent. But only the small part of these solutions is based on Artificial Intelligence.

We are extremely proud of this achievement and would like to thank our clients for the trust they put into our platform!

We are excited to announce that AI Clearing has integrated with Oracle Aconex, another step in our partnership.

Most clients use our AI-powered CORE™ platform to detect construction deficiencies (e.g., differences between the design and reality in the field). 

Now, they can use our new integration to automatically create issues in Aconex and link them to the model, ensuring both systems stay updated.

If you're an Aconex user, rest assured that you can continue to process issues as usual. AI Clearing seamlessly integrates with your existing workflows, providing a robust, fully automated data feed that enhances your operations without disrupting your current processes.

We appreciate the remarkable contributions of women at AI Clearing. Your input enhances the environment at AI Clearing, and we appreciate the value you bring to the table.

We are excited to announce the launch of the Women in Tech Startup Lunch initiative at AI Clearing, providing an incredible opportunity to share experiences, foster continuous collaboration, and develop innovative solutions.

Thank you for being a part of our company. 

Special thanks to Sylwia Raczyńska for organizing the meeting.


Michael Mazur Adam Wisniewski

#AIC #AIClearing #WomenInTech #WomenInStartup

Meta AI Research quotes our AI research paper!

As many of you know, we are lucky to have our AI R&D center based in Warsaw, Poland—the rising star location of the global AI Computer Vision arena (for those who don’t know, you may want to check the solid Polish connection of OpenAI).

At the latest renowned #warsaw.ai society meeting, proudly our Jakub Fajkowski and Dominik Filipiak (AI Clearing alums) presented Polite Teacher (https://lnkd.in/d6J3-nUX), developed in partnership with the University of Warsaw (Andrzej Zapała, Piotr Tempczyk, Marek Cygan) and the Universität Innsbruck (Anna Fensel). The research paper has been accepted for publication at IEEE Access.

Polite Teacher is a simple yet effective method for semi-supervised instance segmentation. The proposed architecture relies on the Teacher-Student mutual learning framework. We use confidence thresholding for bounding boxes and mask scoring for masks to filter out noisy pseudo-labels.

We could say that this story ends here… But recently, the Meta AI Research & Inria teams, Tariq Berrada, Camille Couprie, Karteek Alahari, and Jakob Verbeek, cited our work as state-of-the-art in Guided Distillation (https://lnkd.in/dWAk8CTr). They improved the distillation approach by introducing a novel "guided burn-in" stage and evaluated different instance segmentation architectures, backbone networks, and pre-training strategies. Their paper was presented in January 2024 at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) on Applications of Computer Vision (WACV).

Thank you, Paweł Gora, for organizing Warsaw.AI and for the opportunity to present our work!

Adam Wisniewski Michael Mazur Jakub Łukaszewicz

As we are in the thick of the renewable energy revolution, the solar sector emerges as a beacon of growth and innovation. The remarkable progress in 2023, marked by a record 42GW of new renewable power-generating capacity in the US, underscores an era where sustainability meets economic vitality. The solar industry, in particular, has outshone its counterparts, setting new benchmarks for both large-scale and rooftop installations despite the challenges posed by higher costs and supply chain uncertainties. Please have a look at the great report from the Business Council for Sustainable Energy (BCSE) - https://lnkd.in/eiKanGe6

This unprecedented growth, catalyzed by supportive federal policies under the Infrastructure Investment and Jobs Act and the Inflation Reduction Act (IRA), highlights the transformative power of strategic investment and policy framework in steering the nation towards a greener future. The solar market’s resilience, significantly bolstered by a waiver on tariffs for modules imported from Southeast Asia, exemplifies the sector's capability to navigate regulatory landscapes and emerge stronger.

The US infusion of $303.3 billion in energy transition financing, directed toward clean energy technologies, including solar, signifies a pivotal shift towards sustainable development. However, a critical challenge facing the solar industry and the broader construction sector is the acute labor shortage. The Associated Builders and Contractors reports that the construction industry will require an additional 546,000 workers in 2023 alone to meet labor demand. This shortage presents a tangible hurdle to realizing the full potential of solar expansion. It underscores the need for innovative digital tools to attract and train a new generation of skilled workers. 

Artificial Intelligence emerges as a potent tool in addressing some of these challenges, offering opportunities to enhance efficiency, optimize project management, and streamline operations across the solar value chain. AI's ability to predict solar output, monitor system performance, and manage energy distribution presents a pathway to not only overcoming logistical hurdles but also significantly reducing operational costs and improving the reliability of solar energy. A prime example of AI implementation is PCL Construction, which has successfully deployed AI for years (naturally from AI Clearing).

As we delve into this exciting phase of innovation and growth, stakeholders across the spectrum—policymakers, industry leaders, investors, and technologists—must harness AI's potential to revolutionize the solar sector. Together, we can illuminate pathways to sustainability, driving economic growth while safeguarding our planet for future generations.

Let’s embrace this dawn of renewable energy, where solar power and AI converge to create a sustainable, efficient, and bright future. 🌍✨

Michael, David, Alex, Bill, Curt
#SolarEnergy #RenewableEnergy #AI #Sustainability

https://lnkd.in/dNax-zCT

Together with my co-founder Adam Wisniewski we had a pleasure to discuss with Krzysztof Domaradzki the paths which led us to foundation of AI Clearing. All in the new May issue of the Forbes Polska!

Metric
Company Name	AI Clearing	Civils.ai	Hartera Robotics
Symbol
MSH ID	COM:AICLEARING	AI:CIVILS	COM:HARTERAROBOTICS
Market	PRIVATE	PRIVATE	PRIVATE
Sector	Technology	Technology	Technology
Industry	Construction Technology	Construction Technology	Robotics
Country	US	US	HR
Stage
Employee Count	78
Website	aiclearing.com	civils.ai	harterarobotics.com
LinkedIn	ai-clearing
Founders

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COM:AICLEARING

AI Clearing

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