# ByteNite

Moving Beyond the Cloud with Distributed Computing

## Elevator pitch
We use common devices' (smartphones, tablets and computers) idle computing power to solve large and multiple tasks submitted by our customers.

- Canonical URL: https://wefunder.com/bytenite
- Entity ID: wefunder:company:117266
- Last updated: 2026-06-10T05:00:50Z
- Generated at: 2026-06-10T10:46:17Z

## Quick facts
- Poised to capture a significant portion of $223 billion opportunity
- Previously raised $600K
- Demonstrated processing speeds up to 10x faster than AWS EC2
- Users of the network can earn up to $150/mo from each device
- Released a video encoding app and plan to launch an AI inference app in 2024
- 37% energy savings relative to server farms️️
- Partnerships with Storj and OVHCloud to empower distributed processing

## Active fundraises
- wefunder:fundraise:64689: 4(a)(6) successful (USD)
- wefunder:fundraise:64690: 4(a)(6) successful (USD)

## Story
The Challenge: Scarce Computing PowerIn the computing world, cloud server farms have continued to be a popular choice for data processing. However, this approach struggles to match the escalating demand for processing power due to the global microchip shortage and the surge in computationally demanding tasks like AI (artificial intelligence) and ML (machine learning). This scarcity of computing power has significantly overvalued cloud server farms, reduced accessibility to computing services, and exacted a heavy ecological strain on the environment.ByteNite offers a distributed, managed alternative to traditional cloud systems. Our solution is not only as viable as cloud computing but also more accessible, scalable, and eco-friendly.Meet ByteNite: Your Global SupercomputerUnleash boundless computing power from any device, anywhere.ByteNite is cutting-edge distributed grid computing software. It harnesses the collective power of smartphones and computers to tackle demanding tasks, transforming your devices into a supercomputer. Our mission is simple: To unleash massive computing power from everyday devices!Cutting-Edge TechnologyOur advanced distributed computing tech turbocharges parallel workflows, from video processing to simulations. ByteNite outperforms competitors in simplifying complex tasks, thanks to our proprietary load-balancing algorithm. Your data is split into tasks and distributed seamlessly. And as icing on the cake, we're patent-pending in the US and Europe! Join us in revolutionizing computing power.Become a Supplier and Earn Up to $150 Per Month!Suppliers earn "ByteChips" for completing tasks—a unique currency with real value. Convert them into bank transfers or redeem gifts. With our revenue model, you can earn up to $150 monthly per device using standard computer setups (e.g., 16GB RAM and Intel i5).Becoming a supplier is easy: sign up for our Worker App, available in 2024 for computers and Android devices. It securely processes customer data using spare processing capacity. Run it in the background or at your convenience.Anyone Can Unlock the Power of Limitless Distributed ComputingJoin our centralized Computing Platform, honed over two years. Upload and launch processing jobs on our distributed network effortlessly. Accessible through an online UI and API, it includes optimized, ready-to-use applications.Our flagship application? Video encoding—a $1 billion market. We excel in transcoding to popular formats and codecs, seamlessly connecting to your storage or streaming service. With our API, integration is a breeze for automated access.Choose flexible payment options: monthly subscription or one-time packages with preset operation amounts and discounts for bulk orders. ByteNite’s Impactful Use CasesManagement believes that ByteNite’s revolutionary technology will have immediate, profound effects on:🛰️ Computational Simulations: Aerospace, automotive, chemical engineering, and bioengineering benefit from faster problem-solving with ByteNite's distributed computing. Save months in go-to-market efforts!🎥 Media Processing: Education, entertainment, and surveillance industries rely on video processing. ByteNite's API handles large video volumes, lightening the load for integrators.🤖 Generative AI: Empower AI generation of image sets, synthetic data, and videos across industries, achieving unparalleled speed.🔹 3D Rendering: Architecture, engineering, and manufacturing projects speed up with ByteNite, cutting down rendering time bottlenecks.Why ByteNite Stands OutAt ByteNite, we’re committed to building software that amazes people. Not only do we care about computing performance and speed, but we also implement the highest standard of security measures and are committed to reducing the carbon footprint of computing by adopting environmentally-friendly practices. Below are our key differentiation points from other computing solutions.Lightning-Fast Processing: Our chunk-based technology accelerates data processing up to 30x faster than traditional cloud solutions, ensuring unmatched speed and scalability in video encoding and more.Robust Cybersecurity: ByteNite prioritizes security with data encryption, continuous network monitoring, data segmentation, privacy measures, and strong access controls, making us a trusted choice for distributed computing.User-Friendly Applications: Unlike decentralized computing platforms, we offer ready-to-use applications like video encoding, 3D rendering, and generative AI. Customers can also customize their apps with ByteNite.Eco-Friendly Computing: With geographically dispersed processors, we eliminate the need for energy-intensive cooling systems. Joining ByteNite reduces energy consumption by up to 37% compared to data centers and cuts electronic waste by 7%.Unlocking Opportunity: ByteNite’s Market Potential & Financial ProjectionsOur Total Addressable Market (TAM) for Video Transcoding, 3D Rendering, Computer Vision, Generative AI, and Simulation Software is projected to reach $223.09B by 2028.For investors, here's the key figure: the Serviceable Available Market (SAM). It reflects what we can realistically serve based on our current capabilities and business model. Our SAM is estimated at $93.42B, approximately 42% of the TAM.Furthermore, we anticipate a Serviceable Obtainable Market (SOM) of $1.11B. This is based on industry knowledge and sensible assumptions, aiming to capture 5% of the SAM in Video Transcoding and 3D Rendering markets, and 1% in Computer Vision, Generative AI, and Simulation Software markets.This significant opportunity is complemented by the immense potential of 12 billion consumer and industrial computing devices, including computers, servers, smartphones, and tablets. These devices typically remain idle for about 8-12 hours daily and could be utilized to serve this market.Our Lucrative Financial ModelOur Revenue Model in a Nutshell:We ensure fair revenue sharing, benefitting both our business and network users. 70% of revenue directly goes to our users, allowing them to profit from their devices.We generate revenue by selling computing applications through one-time purchases or recurring ByteChips subscriptions. Customers can try our services and then choose a monthly commitment, with a freemium program for new users.Pricing for each application varies based on task type and complexity. For example, high-efficiency, ultra-high-definition video encoding may cost up to 50 ByteChips (~$0.25) per minute.We may adjust pricing structures for different applications or enterprise deals as needed to ensure consistency and profitability.Fundraising & GoalsWe’re raising capital to jumpstart our market growth and unlock the revenue opportunities that await us!What We’ve Done▶️ In 2022, we raised $600K from a business partner and began working on the technical development of our products. ⏩️ In late 2022, we moved to the United States, which allowed us to grow our business with a network of partners, investors, and early adopters. ⏩️ In early 2023, we released a beta version of our distributed computing software. Our app got 500+ beta testers and gained attention from several SaaS marketplaces.⏩️ In September 2023, we got selected to pitch at the prestigious TechCrunch Startup Battlefield 200 competition in San Francisco. Watch the replay below!⏭️ Fall 2023 onwards, we’re working with a pilot customer to run a video processing workflow on ByteNite.How We’ll Use Your FundsSales and Marketing 💰We’ll use 38% of funds (up to $470,000) to ramp up sales and marketing and broaden our horizons beyond beta testing, which includes hiring a sales expert and a marketing manager. Additionally, we’ll craft a unique brand strategy that highlights our competitive advantages, setting us apart from cloud space competitors. Product Development 🖥️Another 34% of funds (up to $420,000) will fuel ongoing software development, maintenance, and support for our current product. This involves hiring a video engineer to improve our feature set for the current video processing application, and a full-stack engineer to help us further develop our holistic application suite, which will include a new Generative AI text-to-image that runs distributedly on our infrastructure.General and Administrative 🏢The rest of the funds will be used to maintain the current management team, including the CEO and the CTO, legal expenses, rent, travel expenses, and consulting fees.Meet the TeamOur team is composed of distributed computing enthusiasts with extensive experience in business development, software engineering, and tech marketing. Over the past two years, we’ve acquired in-depth proficiency in distributed computing and intensive applications through hands-on coding, actively participating in webinars and hackathons, engaging with industry experts, and contributing to the field with research and publications. This collective experience uniquely positions us as the ideal group of people to address and overcome the challenges of building a worldwide grid computing system.Core team:Fabio Caironi, CEO & FounderNiccolò Castelli, CTORJ Sahni, Business Development ManagerEdoardo Mustarelli, Business Development AssociateAdvisors:Raffaele Di Crosta (Ksenia Security S.p.A), Board Member and InvestorGiorgio Finaurini, (Ksenia Security S.p.A.) Board MemberPaolo Privitera (Events.com), AdvisorAlessandro Cannas (Google), AdvisorInvest in the Future of ComputingAt ByteNite, we’re not just shaping the future of computing – we’re redefining it. We firmly believe that distributed computing is the bridge spanning the gap between surging processing demands and the substantial costs of consumer tech and hardware. We predict that disruptive technologies like AI and machine learning will have a significant impact on the computational requirements of modern chips. Therefore, our conviction is that collaborative computing will increasingly become a viable solution as connectivity improves and processor technology advances.Choosing to invest in ByteNite means championing a venture that stands at the cusp of transformative technology. With your support, we will keep growing and move our startup to the next stage of development. Together, let’s propel computing into a remarkable new era.*forward looking projections not guaranteed*

## FAQ
1. **Sounds groundbreaking and disruptive. Optimizing computer usage amongst collaborators. 1. Who are your competitors? 2. How does the proprietary aspect differ from your competitors? Elaborate on AWS etc. 3. Outside of, cloud infrastructure, video encoding, 3D rendering, and com...**
   - Hi Deny, let me answer your questions: 1. On our first application, video encoding, we have competitors like Bitmovin, AWS MediaConvert, Telestream, which offer online video encoding services. This simple graph shows how we compare to a bunch of them, in terms of price and processing speed: bit.ly/bn-competition-diagram 2. Instead of fixing a limited set of resources (e.g. a Kubernetes engine), we allocate every job to the maximum number of devices. For example, if your video is 10 minutes lo...
2. **Have you started generating revenue?**
   - Hi Adam, we haven’t made significant revenue to date. We are still in the process of building our network and testing our product. We plan to release plug-ins by the end of the year on several marketplaces and start charging our users to generate revenue.
3. **Congratulations, Fabio on working on this disruptive and amazing technology. Appreciate your insights for my questions below: 1, When would the product be ready for gaining actual paying customers ? 2, How much runway do you have (including funds raised here) before you need t...**
   - Hi Suman, thanks for your investment, to begin with! We also believe that this technology is set to change a portion of cloud computing, and that we possess the right set of tools to pull it off. To answer your first question, as of today (Aug 2023), the customer platform offering our distributed video encoding service is ready and available at app.bytenite.com and through our API. Additionally, we’re implementing plugins to integrate with known platforms like Wordpress and Adobe Exchange. Ou...
4. **Hi I was wondering if you use the computer in your example to make $150 a month, how much power would the computer use. Do you estimate one could make $150 after the cost of the power the computer uses to work? Or would it be $150 minus the cost of power is what one would real...**
   - Hi Mical, the figure of $150 is an estimate of the ByteNite payout obtained by simulating an average device with 8GB RAM running for 18 hours a day for a month. The estimate already accounts for service and transfer fees, but doesn’t include the costs associated with the electricity consumption. However, based on the power usage data of modern devices that you can find online (like this calculator: https://www.perchenergy.com/energy-calculators/computer-power-use-cost), the energy bill won't ...
5. **What lessons have you learned from prior crowd/distributed computing projects (e.g. SETI@Home, Folding@Home)? There are challenges here with the need to replicate/verify chunk processing due to the unreliable nature of the uncontrolled end user device (e.g. they may shut off t...**
   - Hi William, there are several ways in which we differ from volunteer computing projects such as BOINC and the ones you mentioned above. Firstly, BOINC-based projects typically require devices to work on single tasks for hours or days, and if a node fails before a checkpoint, a significant portion of the work is lost, and it has to be redone. On the contrary, at ByteNite, we design our tasks to be processed within minutes. This not only streamlines data management and parallelization but also ...

## Team
- Fabio Caironi (CEO & Founder)
- Alessandro Cannas (Advisor)
- Paolo Privitera (Advisor)
- Niccolò Castelli (CTO)
- RJ Sahni (Business Development Manager)
- Lauren Glazer (Head of Marketing)
- Raffaele Di Crosta (Board Member & Investor)
- Giorgio Finaurini (Board Member)

## Q&A
- Q: Hi, I'm Zac from D3VC, a venture fund specializing in equity crowdfunding investments. We have a few questions regarding your offering that we'd appreciate your insights on: 1) Could you share any information on your revenues for 2023, assuming the product is live and generating revenue? 2 )How many investors are participating in this current round so far? 3) We noticed the $8 million valuation and would like to understand the rationale behind it, especially in relation to your reported revenues. 4) Are you aware of any competitors focusing specifically on the same technology, as opposed to just being in the computing sector? Looking forward to hearing from you soon!
  - A: Hi Zac, I apologize for the delayed response. I'm more than happy to address your questions here. As mentioned in a previous response, we haven't generated any revenue yet, as we are currently offering credits to our beta users and are still in the testing phase. However, we anticipate that we will soon start generating revenue, thanks to our entry into the consumer market with our video encoding plugins. There are currently 102 investors participating in this investment round on our platform, along with a couple of venture capitalists and our previous investors who have expressed interest in this round. Regarding your question about valuation, you can understand our valuation cap for the SAFE using the venture capital method as follows: We estimate our projected revenue to be $35 million over the next five to eight consecutive years of business. This is a conservative estimate based on the revenue of our closest competitors, rather than the $1 billion potential SOM. With an average profit margin of 10% and a Price/Earnings (P/E) ratio of 23 (the business is likely to maintain a high growth rate even after exit, thanks to its innovative technology), our terminal value is projected to be $81 million. Finally, by offering investors a 10x exit multiple, we arrive at our current (2023) post-money valuation of approximately $81 / 10x ~ $8 million. As for the competition, there are several blockchain-based decentralized computing applications in the market, including Akash Network, Livepeer, and non-profit academic projects like BOINC. ByteNite differentiates itself from these blockchain-based distributed computing competitors through its optimized architecture for speed and performance. While Ethereum and similar blockchains face limitations in transaction throughput, which hinder scalability, ByteNite addresses these issues by adopting a centralized, managed, efficient, and scalable distributed computing system. Additionally, unlike many blockchain solutions that primarily serve users with cryptocurrency wallets and transactions, ByteNite accepts traditional fiat currencies, catering to the 95% of the population not yet involved in the crypto world. You can review a simple slide summarizing our competitive advantages over other distributed computing initiatives/platforms here: https://bit.ly/bn-distributed-competitors.
- Q: Congratulations, Fabio on working on this disruptive and amazing technology. Appreciate your insights for my questions below: 1, When would the product be ready for gaining actual paying customers ? 2, How much runway do you have (including funds raised here) before you need to go for another funding round ? 3, Any access or discussions for VC or corporate funding ? 4, What is your short term (next 1-2 years) and long term (3-5 years) plans / vision ? In terms of # of customers, revenue, etc ? 5, How many of teammates are fulltime ? Appreciate your insights. Good Luck !
  - A: Hi Suman, thanks for your investment, to begin with! We also believe that this technology is set to change a portion of cloud computing, and that we possess the right set of tools to pull it off. To answer your first question, as of today (Aug 2023), the customer platform offering our distributed video encoding service is ready and available at app.bytenite.com and through our API. Additionally, we’re implementing plugins to integrate with known platforms like Wordpress and Adobe Exchange. Our strategy is to first acquire users through these plugins, starting from this fall. We’ll use the generated revenue and the capital raised to fund our B2B sales campaign thereafter. As for the question on the runway, factoring in the funds raised on wefunder, our runway spans from 6 to 8 months (August 2023). This excludes any capital that we’ll be able to raise from VCs and angel investors within this timeframe. Talking about our fundraising campaign, we are in discussions with several VC firms, and a couple of them have expressed interest in joining the upcoming round. They are awaiting our progress before making a commitment. Our projections for the next two years involve acquiring 15,000 users of the plugins (on a paid plan of $10/month) and securing one or more enterprise deals, resulting in a total ARR of $2.5M and a gross profit of $750K. The long-term vision encompasses projections for both the generative AI product and the 3D rendering product. With a combined market projected to reach $50 billion in 2027, our goal is to position ourselves as an alternative computing power source for these applications. We aspire to capture a market share comparable to other Series C+ cloud infrastructure providers (such as D2iq or Wasabi). Finally, currently me and Niccolò (CTO) are working full time, and I’ve been based in San Francisco for one year. Hope this answers your questions! Feel free to reach out to me for any further inquiry.
- Q: Sounds groundbreaking and disruptive. Optimizing computer usage amongst collaborators. 1. Who are your competitors? 2. How does the proprietary aspect differ from your competitors? Elaborate on AWS etc. 3. Outside of, cloud infrastructure, video encoding, 3D rendering, and computer vision. Are there other sectors or industries you foresee the distributed computing software, integrated? 4. Collaborative computing, is it fair to familiarize this technology with Net metering? “Net metering is the most common arrangement and works by selling any surplus power generated by your solar panels to the utility operator in exchange for credits, which offset any electricity you may need to use from the grid. The credit is applied at the retail rate, which means the rate that you pay for electricity.” 5. What keeps larger competitors from adapting/developing an innovative algorithm, similar or better than your innovative algorithm filed in your patent application?
  - A: Hi Deny, let me answer your questions: 1. On our first application, video encoding, we have competitors like Bitmovin, AWS MediaConvert, Telestream, which offer online video encoding services. This simple graph shows how we compare to a bunch of them, in terms of price and processing speed: bit.ly/bn-competition-diagram 2. Instead of fixing a limited set of resources (e.g. a Kubernetes engine), we allocate every job to the maximum number of devices. For example, if your video is 10 minutes long, we’ll break it down into 50+ segments, each of which is processed by a different device. This way, the whole video will get processed in about the time it takes to process 1/50 of it. The same principle applies to other repetitive and segmentable tasks, like image processing/generation or simulations. 3. Yes, of course. There are a few other fields that we want to explore in the future. For example, drug discovery is a very interesting field that could benefit from distributed simulations and augmented computing power. Another big suitable market is computational fluid dynamics. 4. It is absolutely a nailed analogy! Our energy is the processor work, our solar panels are the users’ devices, and our electrical wiring is the internet connection. 5. There are two different categories of distributed computing: parallel computing and collaborative computing. Large corporations use parallel computing inside their data centers and they have their own algorithms and load balancers. We have extended this concept out of the cloud and built a distribution algorithm that manages workloads across a wide range of devices, including mobiles, and across different regions, thereby resulting in a collaborative computing system. This isn’t something that the cloud providers are likely to pursue because they already have their own data centers and would rather optimize the processing on-premise.
- Q: Very cool concept! My question is about the coding/API to use this process - is it fully fleshed out and currently working as intended or is there still work that needs to be done in order to make this a viable product? Thank you.
  - A: Hi Brandon, thank you for your question! Our API and SaaS solution is currently active and available for use. You can find more information about it and access it through this link: https://docs.bytenite.com. Additionally, we are soon releasing a new Developer API and SDK that simplifies custom app upload and management. Lastly, I wanted to remind you that our campaign will be closing in 48 hours. Don't miss the deadline to invest in the future of computing!
- Q: I think this is a great idea and has been around with projects like Folding@home for a while. Turning it into a commercial project seems profitable. How can you charge enough to pay people $150/month for a  common computer with 16GB RAM and a modest processor like an Intel i5. I went to the web page to sign up, and it is very slow. It took about 20 seconds to tell me it sent me a code. Then the code confirmation page just showed me a spinning wheel when I pasted in my code. Clicking reload after a few minutes just took me back to the first signup page. Please fix your signup process and I'm onboard. (seriously, its been spinning overnight.)
  - A: Hey Michael, it's great to see that Folding@Home and other similar projects are getting mentioned often here, as they have been a major source of inspiration for us. You are right – unlike those projects, we sell computing services to our customers and make a profit from it. In response to the comment about expected payouts, it's worth noting that renting an n2-standard-4 VM on Google Cloud costs around $140 per month. Therefore, if we priced our service similarly to Google, you could expect to earn roughly that amount after our fees with a similar machine. However, it's essential to keep in mind that cloud applications such as video encoding are more expensive than simply renting computing power. As a network user of ByteNite, you'll be compensated for a high-quality service that we've meticulously developed to run on your device and generate more profit than just sharing your computing power. Finally, we apologize for the issues you experienced with your authentication. We received an abnormal amount of requests in the past days, which caused the authentication system to crash. It is now back in operation. Please note that the app you are attempting to access is the customer platform, and not the Worker App. We plan to release the Worker App next year, once we have established sufficient workloads with customers. If you are interested, you can sign up for the waiting list at https://share.hsforms.com/1oxPZfDl5Sx-e46-uz9a2vwdfl88, or you will automatically be added if you invest.
- Q: I assume you are not attempting homomorphic encryption as this is an active area of research and adds to the processing, so client data will be in clear text in memory during processing? What protections, if any, against exfiltration of client data via memory monitoring are you attempting?
  - A: Hi William, thank you for your question! You’re right, homomorphic encryption remains largely a research topic and has no practical application in video and media processing. Our client data will need to be shared with our network devices. Although devices cannot query the server or read in-transit data, the data must be decrypted before processing. Despite this, at ByteNite, we have implemented several measures to minimize the risk of data disclosure to network devices. Firstly, our client data is partitioned and randomized so that each device receives only the minimum necessary number of segments from the same customer, and we ensure that these segments are not contiguous. We also plan to adopt measures to defend against malicious coalitions of devices. Furthermore, we take steps to detect any malicious activity on the device side. We monitor the processing time of tasks to ensure that it does not fall below or above a benchmark interval, and we use honeypots, such as fake high-rewarding tasks, to attract and detect malicious users. Finally, we use standard TLS encryption, cloud firewall, and standard security practices for all data entering and leaving our system.
- Q: What lessons have you learned from prior crowd/distributed computing projects (e.g. SETI@Home, Folding@Home)? There are challenges here with the need to replicate/verify chunk processing due to the unreliable nature of the uncontrolled end user device (e.g. they may shut off their computer in the middle of processing a chunk).
  - A: Hi William, there are several ways in which we differ from volunteer computing projects such as BOINC and the ones you mentioned above. Firstly, BOINC-based projects typically require devices to work on single tasks for hours or days, and if a node fails before a checkpoint, a significant portion of the work is lost, and it has to be redone. On the contrary, at ByteNite, we design our tasks to be processed within minutes. This not only streamlines data management and parallelization but also increases control over delays and faults because we can readily reassign a task if a device is unresponsive or faulty. For example, our video encoding application divides videos into clips that can usually be processed within a few seconds by each device. If a device fails to send its processed clip back within a given time frame, we immediately reschedule the task on another device. Secondly, our system introduces replication by default. This means that up to 100% of the tasks get a backup copy that is independently processed by another device. If the primary task fails, we still have the backup copy, and if the primary task is returned, we use the backup copy for verification. I hope this answers your question! I have also provided insight into prior grid computing projects and analyzed their shortcomings in the White Paper. You can access it here: qrco.de/bn-white-paper
- Q: Hi I was wondering if you use the computer in your example to make $150 a month, how much power would the computer use. Do you estimate one could make $150 after the cost of the power the computer uses to work? Or would it be $150 minus the cost of power is what one would realistically make?
  - A: Hi Mical, the figure of $150 is an estimate of the ByteNite payout obtained by simulating an average device with 8GB RAM running for 18 hours a day for a month. The estimate already accounts for service and transfer fees, but doesn’t include the costs associated with the electricity consumption. However, based on the power usage data of modern devices that you can find online (like this calculator: https://www.perchenergy.com/energy-calculators/computer-power-use-cost), the energy bill won't impact your payout by more than 10%, even if you assume an extreme energy consumption (like 140W) and/or a sustained usage. With a payout of $150, this means that you will spend less than $15 on energy due to using the ByteNite app.
- Q: Have you started generating revenue?
  - A: Hi Adam, we haven’t made significant revenue to date. We are still in the process of building our network and testing our product. We plan to release plug-ins by the end of the year on several marketplaces and start charging our users to generate revenue.
- Q: Good afternoon team ByteNite, could you give an update about the presentation of your pitch at TechCrunch Disrupt 2023 please ? Thank you.
  - A: Hello Ben, the recording of our pitch from TechCrunch Disrupt 2023 is now available in the "Updates" section. We hope you find it informative! Feel free to reach out if you have any more questions.
- Q: Hi Fabio, It says you are the "inventor" of this patent. Is it pending or granted. If granted, are you the owner of this patent? Thanks for clarifying. Blessings
  - A: Hi Kim! We currently have two patent applications pending, one in the US and one in Europe, titled "Method and System for High-Throughput Distributed Computing of Computational Jobs." The company you're investing in (ByteNite Inc.) owns both patents, while I (Fabio Caironi) and Niccolò Castelli are the appointed inventors. We are about two-thirds of the way through the review process, and it looks like we'll have to wait until 2024 to see them published. If you're interested in receiving a copy of the patent, please don't hesitate to email me at fabio@bytenite.com.