About Corivena
Building Continuous Operational Intelligence for Care Environments
Corivena develops observational infrastructure systems for assisted living, memory care, rehabilitation, and long-term care providers seeking continuous operational visibility across complex care environments.
Founded on deep expertise in computer vision, machine learning, large-scale systems, and infrastructure engineering, Corivena focuses on practical deployments designed for real operational environments rather than laboratory demonstrations.
Our Approach
Technology Is Only Useful When It Fits Operational Reality
Care environments operate under conditions that differ fundamentally from consumer technology markets. Facilities must balance resident safety, dignity, staffing constraints, operational continuity, infrastructure limitations, regulatory expectations, and long-term reliability.
Many existing monitoring systems fail because they are designed as isolated technical products rather than operational systems integrated into the realities of care delivery.
Corivena was established to address this gap. We build infrastructure-aware observational systems designed to integrate with real facilities, existing workflows, and long-term operational requirements.
Our focus is not on replacing caregivers, but on extending operational awareness in environments where continuous supervision is difficult.
Founder
Founded by Martin Kolář,
PhD et PhD
Corivena was founded by Martin Kolář, a Czech computer vision and machine learning researcher with a background spanning large-scale software systems, infrastructure engineering, visual computing, and AI-assisted operational systems.
Martin holds doctoral degrees in Computer Vision and Machine Learning, and in Texture Synthesis and Computer Graphics.
Since 2015, he has operated LK Tech, an independent technology and systems engineering firm focused on high-scale internet platforms, machine learning systems, infrastructure deployment, and applied visual computing.
Over the past decade, his work has included large-scale cloud infrastructure, AI and computer vision systems, multimodal media processing, operational automation, and high-volume distributed software platforms serving global audiences.
His work combines academic research, production engineering, infrastructure architecture, and practical operational deployment.
Corivena emerged from the observation that care environments increasingly possess extensive observational infrastructure, yet lack operational systems capable of understanding, organizing, and acting upon the information already present within those environments.
Background
Technical and Operational Background
LK Tech Founded
Independent systems engineering and infrastructure consultancy established with focus on scalable internet systems, AI workflows, and applied machine learning.
Large-Scale Media & Infrastructure Systems
Development of distributed software systems, large-volume media processing infrastructure, and automation tooling serving international audiences.
Computer Vision & Machine Learning Research
Advanced work in computer vision, multimodal AI, image analysis, machine learning systems, and operational AI workflows.
Operational AI Infrastructure
Focus shifts toward observational intelligence systems, operational monitoring environments, and infrastructure-aware AI systems designed for real-world deployment in healthcare-adjacent environments.
Principles
Principles
Operational First
Systems must integrate into real care environments rather than force facilities to adapt around technology.
Infrastructure-Aware
Existing operational infrastructure is an asset. Deployment models should minimize disruption while maximizing visibility.
Human-Centered
Observational systems should support caregivers, not replace human judgment or create operational friction.
Long-Term Reliability
Care environments require stable systems designed for operational continuity, maintainability, and gradual refinement over time.
Context
Why Care Infrastructure Matters
Modern care facilities face increasing operational complexity: rising resident acuity, staffing shortages, nighttime supervision gaps, and growing expectations around safety and accountability.
At the same time, observational infrastructure has quietly become ubiquitous. The challenge is no longer collecting video. The challenge is operationally understanding what is occurring within care environments in a way that is actionable, respectful, and sustainable.
Corivena exists to help facilities build that operational understanding.
Expertise
Technical Areas
Computer Vision
Environmental understanding, activity recognition, motion analysis, and observational intelligence systems.
Machine Learning Systems
Inference pipelines, longitudinal modeling, behavioral analysis, and operational AI workflows.
Infrastructure Engineering
Distributed systems, edge deployment, hybrid compute architecture, and enterprise integration.
Operational Analytics
Incident reconstruction, timeline analysis, response visibility, and environmental monitoring systems.
Get In Touch
Speak With Corivena
We work directly with assisted living, memory care, rehabilitation, and long-term care operators seeking to improve operational visibility within complex care environments.
Initial discussions typically focus on facility operational challenges, existing infrastructure, observational coverage, deployment constraints, and long-term operational goals.
Schedule Operational Assessment