Let's talk.

We currently support EEG data from most commercial and research devices, with ECoG and other modality support in development. Our architecture is modality-agnostic—contact us to discuss your specific needs.

No. By default, your data stays in your environment. When using our cloud APIs, data is processed in isolated pipelines and deleted after processing. We never use customer data to train our models without explicit consent.

Our normalization layer includes spatial interpolation and mapping techniques that abstract away specific electrode placements. This enables models to generalize across devices with different channel counts and configurations.

It's a way of thinking about ML efficiency. Traditional approaches have a shallow slope—spending 2x on data annotation might only yield 10% better performance. Hermeneia's pre-trained representations steepen this curve.

No. Hermeneia is development infrastructure—software tools that help teams build their own applications. We do not make diagnostic, therapeutic, or clinical claims. Regulatory responsibility rests with deploying organizations.

Yes. We offer containerized deployments for teams with data residency requirements. Contact us for details.

Pricing is based on usage and deployment model. Contact us for a quote tailored to your team's needs.

Most teams can run their first pipeline within a day using our Python SDK. Production integrations vary based on your infrastructure.