Speech intelligence for medicine
innmedi applies artificial intelligence and speech technologies to healthcare — building tools and research infrastructure that help medical professionals spend less time on paperwork and more time with patients.
AI built for the realities of clinical speech
innmedi is a Lithuanian AI company working at the intersection of speech technology and healthcare. We build research infrastructure and AI tools that address a practical problem: clinical conversations are rich with medically relevant information that is routinely lost because current technology cannot reliably capture it.
We focus on the gap between what speech AI can do in a lab and what it can do in a real hospital room. Our work combines software engineering, data science, and close collaboration with clinical partners to close that gap in practice.
Our work is grounded in measurement and rigorous evaluation — we build the infrastructure that tells you whether a system actually works in the environment it is meant for, not just under ideal conditions.
What innmedi brings
innmedi combines AI engineering, data infrastructure, and domain knowledge in healthcare to build systems that work where it matters — in real clinical environments, not just benchmarks.
Building and running evaluation environments for AI speech systems in clinical settings — measuring real-world performance, identifying failure modes, and providing objective criteria for improvement.
Defining what "good enough" means in a medical context — working with clinicians to translate technical performance numbers into measures that reflect actual documentation quality and doctor usability.
Using AI to optimise system configurations end-to-end — with clinical outcome quality as the objective, not intermediate technical proxies. Finding configurations that pure engineering approaches miss.
Designing and building data pipelines for clinical speech research — from recording logistics and annotation to privacy-compliant storage and structured publication of research datasets.
Scalable data infrastructure built for the constraints of healthcare — interoperability with clinical systems, privacy-preserving workflows, and data handling that meets the regulatory requirements of the medical sector.
Validating complete systems from input to clinical output — ensuring that improvements at any one stage translate into real gains in the final result, rather than optimising components in isolation.
Clinical and adjacent domains
innmedi's work starts in healthcare and extends to any domain where the accuracy of spoken-word capture has direct consequences for people.
Helping doctors document consultations accurately and efficiently — so that less time is spent on paperwork and more on patient care. Better documentation also means better continuity of care across the full patient journey.
Standardised evaluation of speech AI systems under real-world clinical conditions — defining reproducible protocols and objective criteria that go beyond controlled lab settings.
Supporting the development of AI tools that generate medical notes automatically from clinical conversations — addressing the practical barriers that prevent these systems from working reliably in real hospitals.
Improving access to spoken information for people with hearing loss in clinical, legal, and educational settings — where reliable real-time captions can make participation possible without specialist equipment or support.
Get in touch
Research collaboration or questions about our work — we are open to conversations with clinicians, engineers, and research groups.
Open to collaboration
innmedi works with clinical partners, research institutions, and technology teams building AI products for healthcare. We are open to research collaborations, pilot projects, and conversations about where speech AI can genuinely help in clinical practice.
We are also open to consulting engagements — helping teams understand what their AI speech systems can and cannot do in the environments they are meant for.