How it works
Four stages from first conversation to production deployment
Every engagement is unique, but follows a consistent structure designed to move quickly, reduce risk, and keep your team in control at every stage.
1
Technical discovery
We start with a deep-dive conversation with your engineering team. Hardware specs, software stack, OS, target use case, end-user environment, and data constraints. No assumptions. No generic presentations.
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2
Feasibility & scoping
We assess compatibility, identify any integration considerations, and outline what a tailored L-DNN implementation would look like for your specific environment. We provide an honest assessment before any commitment.
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3
Engineering & integration
Our engineers package L-DNN as a software library built for your stack. This is active engineering work — we optimize for your hardware, integrate with your pipeline, and validate performance against your use case requirements.
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4
Deployment & beyond
You ship a product powered by Neurala’s L-DNN technology. We remain available through production launch and beyond — supporting updates, expended capabilities, and new use cases as your product evolves.
Common questions
What partners typically ask us
These are the questions we hear most often from engineering and product teams evaluating Neurala as a technology partner.
We already have an AI stack. Does L-DNN replace it or work alongside it?
L-DNN is designed to integrate, not replace. It works as a library within your existing software architecture, living alongside your current inference pipeline, camera SDK, or platform software. The integration scope is defined during the discovery phase, where we assess how L-DNN fits alongside what you already have.
How long does a typical integration take?
It depends on the complexity of your environment and the scope of the integration. Discovery and scoping typically takes days to a few weeks. The engineering and integration phase varies from weeks to several months depending on hardware complexity, custom optimization requirements, and how tightly coupled the integration needs to be with your existing system. We move as fast as your team can move with us.
Do end users need AI or machine vision expertise to use it?
No, and that’s a core design goal of L-DNN. The technology is specifically built so that end users without AI backgrounds can train accurate vision AI models from a handful of images, in minutes. FLIR and Sony both chose Neurala specifically because of this - their customers needed to use AI without becoming AI experts.
What happens to image data?
It stays on the device. The full L-DNN workflow - including training - runs locally. Image data is never transmitted to a cloud server, never stored externally, and never touches Neurala’s infrastructure. This is an architectural characteristic, not a configuration option, which means it remains true regardless of network conditions or connectivity.
We’re evaluating other AI platforms too. What makes Neurala different?
Most AI platforms are built for data scientists developing models in the cloud. They require large datasets, GPU infrastructure for training, and significant AI expertise to operate. L-DNN was built for embedding into real products - edge training with minimal data on standard hardware and without cloud dependency. If your evaluation criteria include hardware footprint, data privacy, or end-user accessibility, those are areas where L-DNN offers meaningful differentiation, not just different positioning.
Is there a pilot or evaluation before a full engagement?
The first step is a direct technical conversation with our engineers - no commitment, no sales process. We respond quickly, and we’ll tell you honestly within that conversation whether L-DNN is a good fit for your use case. If it is, we'll work together to determine the most appropriate first step, whether that's a scoped evaluation, a proof of concept, or a full integration.
Get in touch
Start the conversation
Tell us a little about your product and your engineering environment. We’ll follow up within one business day with a response from our engineering team — not a sales sequence.
Response from a Neurala integration specialist, not a salesperson
No sales pitch - a genuine technical conversation about your stack
We'll tell you honestly if L-DNN is a fit - or not
NDA available before any technical discussion if needed
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