Codvo builds production-grade AI for hospitals, MedTech and life sciences teams, from the operating room to clinical documentation and data.
Select a tag on the image to see the AI at work
Concept artwork · fictional settings · illustrative AI overlay
Healthcare and MedTech clients
The problem
Each one slows AI programs across hospitals, MedTech and life sciences.
Solutions
Two ways in. Add AI to the systems your teams already use, or rebuild a process around AI agents. People make every clinical decision.
The assistant works inside the app people already use. Case: AI documentation for surgical centers Illustrative
A fusion team: agents do the work, people own every decision. Illustrative
Telemetry, robotic logs, video metadata and case records in one governed model.
Case: governed lakehouseDictation becomes a complete, structured operative note the same day.
Medical Scribing AgentRisk-based testing and regulatory milestones built into development.
Case: glucose monitoring appPatient identity masked on the device. Access controls and de-identification in the data model.
Cases: real-time OR, lakehouseAI documentation that auto-generates op-notes and tracks insurance workflows.
Case: AI documentationReady-made agents
Concept imageSurgeons dictate after each case. The agent turns it into a complete, structured operative note the same day.
Concept imagePre-labels surgical video, checks every label against a certified annotator, routes what it is unsure of to people, and releases only approved labels.
Proof
Our work across surgical AI, digital health and clinical workflow automation. Case study details are anonymized.
Challenge: Hospital ORs needed shorter turnover times and scheduling based on data.
What we did: A multi-camera edge AI system in the OR tracks surgical workflows, detects instrument use and surgeon activity, and produces real-time OR utilization analytics.
Challenge: Live surgery needed sub-second alerts, so cloud inference was ruled out.
What we did: Codvo deployed GPU edge inference in the OR for object detection, instrument tracking and surgical action recognition across endoscopic, ambient, microscope and robotic-arm feeds, with patient identity masked on the device.
Challenge: Telemetry, robotic logs, video metadata and case records sat in separate systems.
What we did: Codvo built ingestion with automated schema evolution, one queryable model with access controls and de-identification, and an automated edge-to-cloud pipeline that feeds results back for model retraining.
Challenge: Ambulatory surgical centers needed structured op-notes, insurance tracking and records ready for their EHR.
What we did: Codvo built AI voice-to-text documentation that auto-generates structured op-notes, tracks insurance workflows and prepares for EHR integration.
Challenge: The data was in place but nobody was getting insight from it.
What we did: Codvo built vision models for phase recognition, instrument detection and technique benchmarks, telemetry analysis for device failure patterns, OR efficiency metrics and AI-annotated training libraries.
Challenge: A glucose monitoring app had to bring wearable and patient data together and still meet its regulatory milestones.
What we did: Codvo built the app with IoT wearables, continuous patient data pipelines and predictive analytics, with risk-based testing and regulatory milestones built into development.
Why Codvo
Codvo brings data, AI engineering and the NeIO platform together for hospitals, surgical centers, digital health and MedTech teams. We take AI from pilot to production in regulated settings.
Production AI for medical device companies and care providers, with clinical validation, data governance and regulatory traceability built in. Risk-based testing and regulatory milestones are part of development, and people review what the AI is unsure of.
Edge AI in the OR, surgical video analytics, de-identification, real-time inference and post-op outcome modelling.
Patient identity is masked on the device in the OR. The data model adds access controls and de-identification.
Private deployment, HIPAA-aligned architecture, role-based access, full audit trails and observability built in.
Wearable and patient data, device telemetry, surgical video and case records in one governed model. Notes ready for the EHR, and agents inside clinical and operational workflows.
NeIO runs enterprise AI with pre-built RAG, security and observability. Ready-made kits for data onboarding, model workflows and dashboards cut build time.
One team builds edge capture, data pipelines and production ML, and manages each model through its full life.
We work inside your team, train your users on NeIO, and keep maintaining and improving the system.
Explore your AI vision
Turn fragmented data, disconnected workflows and complex clinical and operational processes into intelligent, connected experiences. We engineer secure, governed AI solutions that help MedTech, healthcare and life sciences organizations deliver better care, reclaim valuable time, improve operational performance and bring innovations to market faster.
