Building the next-gen
neurosymbolic AI platform
Based on award-winning research, designed to be powerful, trustworthy and fast.
Our platform
We are building a super-fast platform for data integration and neurosymbolic reasoning.
01
Advanced neurosymbolic analytics
We combine the strengths of knowledge graphs and flexibility of machine learning to deliver insights you can trust - with answers backed by solid reasoning guarantees.
02
Tackle demanding real-time use cases
We handle fast-changing data in real time, helping companies react to events instantly – even in the most time-sensitive situations.
03
Interoperable by design
Our tech connects easily to other systems and aggregates your data sources while preserving the data’s context and meaning. No ETL needed.
Build the future of AI with us
Get early access to our platform – and priority support – by co-developing with us solutions to your toughest problems.
Our 3-step process:
1. Tell us about your problem
Reach out and tell us about your use case, pain points, and constraints (latency, reliability, compliance). We will quickly identify where our neurosymbolic platform can deliver the most value.
2. We prepare a demo for you
We will prepare a focused demonstration mapped to your scenario – showing how the platform can address your pain points while staying explainable, traceable, and fast.
3. Decide what’s next
Together, we will decide if and how to move forward. A short pilot or a deeper co-development track, we will define clear scope, milestones, and success criteria.
Use cases
Learn how NeverBlink solves the problems holding your industry back.
Smart factory
Smart energy grid
Smart city
Enterprise data infrastructure
Critical infrastructure protection
Retail and customer engagement
Personalized financial services
Enterprise AI agents
Autonomous driving
Smart factory
Factories generate vast amounts of operational data across machines, sensors, and software. The challenge is turning all of these signals into a real-time operational picture, especially when the cost of getting it wrong is high: unplanned downtime, unnecessary waste, and safety or compliance risk.
Why our solution?
NeverBlink’s platform provides a streaming-first integration and reasoning layer that unifies heterogeneous factory data in real time. Its tight KG+ML integration lets it effectively tackle predictive maintenance and root-cause analysis: the system retrieves likely causes by identifying similar logs and maintenance notes, then verifies the candidates using formal quality checks – so recommendations remain operationally trustworthy.
What our platform enables:
Real-time interoperability across machines, sensors, and quality systems;
Predictive maintenance: early warnings grounded in live telemetry and historical evidence;
Root-cause analysis: traceable links from symptoms to plausible causes;
Built-in quality control via validation and governance.
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Blazing-fast by design
Time to transmit 1.4M quads cut from hours to less than 4 seconds in the Nanopublication Network.
Read the full award-nominated case study.
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Compatible with your tech stack
Jelly works with Python, Java, Scala, and your favorite RDF libraries. jelly-cli is a fast and convenient CLI tool that lets you start working with Jelly in minutes. You can convert RDF data to Jelly (and back), inspect and validate the resulting Jelly files – all with a single command. It works great in batch jobs and CI pipelines.
Getting started
Set up with ease — This section guides you through installation, initial configuration, and the essentials you need to begin working smoothly with Jelly.
Quick start - CLI tool
jelly-cli is a simple tool that lets you convert RDF files to and from Jelly, validate Jelly files, and more.
For Linux, macOS, and WSL on Windows, run:
. <(curl -sSfL https://w3id.org/jelly/setup-cli.sh)
jelly-cli
FAQ
NeverBlink is a deep-tech startup building neurosymbolic AI technology for low-latency, real-time data reasoning. We fuse the structure, transparency, and stability of knowledge graphs with the flexibility of machine learning, so teams can integrate many data sources on the fly and run analytics that stay explainable and grounded in their source data.
Our work includes open-source products, most notably Jelly, our high-performance knowledge-graph streaming protocol. Jelly is designed to connect KG systems at unprecedented speed and reduce end-to-end processing latency and infrastructure overhead. It also serves as a foundation for our streaming-first neurosymbolic platform for real-time decision workflows that need robust, traceable reasoning.
NeverBlink’s platform is built for real-time, streaming-first analytics and decision workflows, combining knowledge-graph reasoning with machine learning so results are explainable, traceable, and grounded in source data rather than opaque "black-box” outputs.
It supports low-latency processing patterns like streaming, and is designed to reduce complexity by offering modular components that let teams build end-to-end pipelines without stitching together separate databases, ETL stacks, and AI tooling.
Finally, NeverBlink’s platform is interoperable by design, built to instantly connect to other systems. It helps companies integrate different data sources and avoid risking vendor lock-in. We use W3C standards like RDF and SPARQL as the technical interoperability basis.
NeverBlink tackles the expensive gap between "we have the data” and "we can use it in real time.” Most organizations pay twice: first in the ongoing cost of stitching together machines, sensors, software platforms, and external feeds (ETL, custom integrations, brittle pipelines, constant maintenance), and then again in the cost of not integrating it – missed events, delayed responses, and decisions made on partial context. NeverBlink reduces the integration burden while turning live streams into actionable intelligence you can trust.
The problem manifests itself in smart factories as unplanned downtime and waste, in critical infrastructure protection as high-costs incidents due to poor situational awareness, and in smart energy grids and smart cities as wasted capacity, higher operating costs, and avoidable disruptions. The same economics apply across enterprise data infrastructure, customer engagement, personalized financial services, enterprise AI agents, and autonomous systems. NeverBlink helps break that cycle by making real-time integration and decision workflows cheaper to build, cheaper to run, and far less risky to rely on.
We can also provide you with early access to our data integration & neurosymbolic reasoning platform, in a co-development model. If you’d like to help us shape this product, please reach out to us through this link.
We can also offer tailored consulting and integration services for the first module of our platform, Jelly. We give you comprehensive support in speeding up your knowledge graph systems, from design, to custom integrations, benchmarking and more.
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Tell us about your problem
Reach out and tell us about your use case, pain points, and constraints (latency, reliability, compliance). We will quickly identify where our neurosymbolic platform can deliver the most value.
-
We prepare a demo for you
We will prepare a focused demonstration mapped to your scenario – showing how the platform can address your pain points while staying explainable, traceable, and fast.
-
Decide what’s next
Together, we will decide if and how to move forward. A short pilot or a deeper co-development track, we will define clear scope, milestones, and success criteria.
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Jelly is an open-source, high-performance binary serialization format and streaming protocol for RDF knowledge graphs. Jelly has implementations for the Java Virtual Machine (works with Apache Jena, RDF4J, and Titanium) and Python (works with rdflib).
You can learn more about what Jelly can do in our documentation. You can also join the Jelly Discord chat to keep up-to-date with the development activities.
The development of the Jelly protocol, its implementations, and supporting tooling was co-funded by the European Union.
jelly-cli is a fast and convenient CLI tool for working with the Jelly knowledge graph streaming protocol. It is compatible with Linux (x86-64, ARM64), macOS (ARM64), or Windows (x86-64). You can use jelly-cli to convert RDF to Jelly, Jelly to RDF, transcode, inspect, or validate Jelly files, all with a single command. See the setup instructions and user guide.
The development of the Jelly protocol, its implementations, and supporting tooling was co-funded by the European Union.
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