Company Profile (AI Text)
Name: ByteNite
Canonical URL: https://wefunder.com/bytenite
Updated at: 2026-06-10T05:00:50Z

Tagline: 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.

Key claims:
- Total raised on Wefunder: 103085 | citation: https://wefunder.com/bytenite#claim-total-raised
- Total investors: 133 | citation: https://wefunder.com/bytenite#claim-total-investors

Verified facts:
- Total raised on Wefunder: 103085 | observed_at: 2026-06-10T05:00:50Z | expires_at: 2026-06-11T05:00:50Z
- Total investors: 133 | observed_at: 2026-06-10T05:00:50Z | expires_at: 2026-06-11T05:00:50Z

Computed metrics:
- total_amount_raised: 103085
- total_investors: 133
- team_size: 8
- featured_investor_count: 1
- faq_count: 5
- recent_post_count: 0

Quick facts:
- Poised to capture a significant portion of $223 billion opportunity | citation: https://wefunder.com/bytenite#claim-fact-1
- Previously raised $600K | citation: https://wefunder.com/bytenite#claim-fact-2
- Demonstrated processing speeds up to 10x faster than AWS EC2 | citation: https://wefunder.com/bytenite#claim-fact-3
- Users of the network can earn up to $150/mo from each device | citation: https://wefunder.com/bytenite#claim-fact-4
- Released a video encoding app and plan to launch an AI inference app in 2024 | citation: https://wefunder.com/bytenite#claim-fact-5
- 37% energy savings relative to server farms️️ | citation: https://wefunder.com/bytenite#claim-fact-6
- Partnerships with Storj and OVHCloud to empower distributed processing | citation: https://wefunder.com/bytenite#claim-fact-7

FAQ:
- 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 com...
  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 lo...
- 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: 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...
  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. Ou...
- 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 real...
  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 ...
- 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 t...
  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 ...