| Website | https://neverblink.eu |
| Community Discord | https://discord.com/invite/KvQQrZTHSP |
| https://www.linkedin.com/company/neverblink/ |
Read NeverBlink’s blog to see why neurosymbolic AI is the future of smart manufacturing, solving the industry’s toughest challenges from predictive maintenance to root-cause analysis and real-time process optimization.
🔥 Hot take: GenAI in manufacturing was overhyped.
What looks far more credible now is the shift toward neurosymbolic systems: architectures that combine GenAI with retrieval, symbolic reasoning, and verification. The attention that RAG, GraphRAG, and verifiable AI are getting are all signs of this shift. The new goal is to build infrastructure around the model, never leaving GenAI to be the final decision-maker.
If you would like to learn more, read the full blog post linked below ⬇️
We’re growing our team! 🚀
If you’re a Java and/or Scala developer and want to work on next-generation neurosymbolic AI systems in a strongly R&D-oriented company, we’d love to hear from you!
Details and application form: 👇
https://app.dover.com/apply/neverblink/8410fa30-6198-451e-a84c-f8e43af027c8
🎉 NeverBlink just turned 1!
From 3 researchers with an idea to a team of 8 – we learned a lot, shipped a ton, and met great people. 🚀
✨ Huge Thing helped turn R&D into product goals
🏆 Awards for our research at #ESWC2025
🤝 Best Industry Paper nomination for our work with @knowledgepixels at #SEMANTiCS2025
🌍 Great use case chats at W3C TPAC
🛠️ Tested our platform through the BUILD-DT EU project
🌿 OBEREK: biodiversity deployment in Spain (Spring 2026)
Thank you for the support ❤️
We had a blast at #ISWC2025 – plenty of great insights and amazing people. We also brought a contribution of our own!
📝 Our CTO Piotr Sowiński presented a poster on Jelly-Patch – a super-fast format for recording changes in RDF datasets. It's one of the crucial pieces for our upcoming streaming neurosymbolic AI platform. Poster and paper linked in a comment below.
Behind the scenes at NeverBlink: our CEO, Karolina Bogacka, putting together something seriously cool – a Raspberry Pi blade cluster.
This isn’t just a single Pi on a desk – it’s a rack-mountable setup with blades designed for density and reliability.
Why are we doing this? Because our neurosymbolic AI platform has to work in all environments.
Big things are ahead. Stay tuned. ⚡
We're heading to #SEMANTiCS2025 in just one week! Catch us in Vienna with two presentations on Jelly (our fast and convenient serialization format), one made jointly with @knowledgepixels, where we show how Jelly removes RDF communication bottlenecks – making nanopublication exchange faster, lighter & more resilient.
Our work was financed from the #EUFunds.
Project value: 149 941,44 PLN
Contribution from European Funds: 149 941,44 PLN #EuropeanFunds
Recording data changes in RDF systems is a crucial capability, needed to support auditing, incremental backups, database replication, and event-driven workflows. In large-scale and low-latency RDF applications, the high volume and frequency of updates can cause performance bottlenecks in the serialization and transmission of changes. To alleviate this, we propose Jelly-Patch -- a high-performance, compressed binary serialization format for changes in RDF datasets. To evaluate its performance, we benchmark Jelly-Patch against existing RDF Patch formats, using two datasets representing different use cases (change data capture and IoT streams). Jelly-Patch is shown to achieve 3.5--8.9x better compression, and up to 2.5x and 4.6x higher throughput in serialization and parsing, respectively. These significant advancements in throughput and compression are expected to improve the performance of large-scale and low-latency RDF systems.