Cloudly Healthcare AI
Cloudly is the AI Transformation Company
Unlock AI in Your Healthcare Operations
The healthcare industry has access to rich data from EHRs and clinical notes to device telemetry and patient interactions—but struggles to convert that data into real-world impact. Cloudly enables healthcare organizations to activate AI across their operations by delivering open-source-powered, privacy-first AI agents and custom models that reduce overhead, boost outcomes, and work alongside existing workflows.
The Great "Healthcare AI" Problem
Human vs. Machine
Clinicians and support teams are still burdened with manual data entry, documentation, and coordination. AI can reclaim this time for better care.
Tech Maturity
AI pilots often stall due to fragmented systems, limited infrastructure, and a lack of integration with existing EHRs or ops tools.
High Investment
AI solutions feel risky and expensive—especially when success metrics are unclear or generic tools fail to deliver value.
Talent Scarcity
Even with strong data science teams, few healthcare orgs have the bandwidth or AI-specific experience to go from research to deployment.
How We Solve It
Follow SOTA, Trained for You
We start with open-source models (e.g., LLaMA) and develop private, domain-specific copilots tailored to your patient data and workflows.
Your Data, Your Model
Your data never leaves your environment. We deploy within your infrastructure and you retain ownership of your custom models—trial or not.
Build for production
Our models are CUDA-optimized and designed to run securely on NVIDIA GPU infrastructure—in-cloud or on-prem.
Deliver with people
Our embedded AI delivery teams help you move from readiness to refinement with minimal disruption and measurable ROI.
Customer Success Story
Ingested transcripts of care team - patient conversations to detect empathy gaps, stress signals, and missed escalation cues
Suggested real-time coaching tips and personalized communication strategies
Delivered early warnings for compliance issues
As a result, the provider saw a 28% increase in patient satisfaction and reduced burnout by reclaiming hours of manual documentation per care team – all with no in-house AI team.
Our "Healthcare AI" Stack
Layer 1: Collection
- Secure connectors for ingesting EHR, note, and interaction data
- Structured and unstructured data sources supported (HL7, FHIR, transcripts, device data)
Layer 2: Preparation
- ETL and transformation pipelines (FHIR mapping, de-identification, vectorization)
- Integration-ready with common hospital IT environments
Layer 3: Intelligence
- Custom-trained NetAgents (e.g., CareCopilot, ComplianceCoach)
- LLaMA-based private models fine-tuned on clinical context
- Privacy-first, on-prem or hybrid deployment options
Your Journey to "Healthcare AI" with Cloudly
| Layer | Challenge | How Cloudly Solves It? |
| Layer 1: Collection | Data is siloed, inconsistent, and locked in legacy systems | Build secure pipelines and normalize data for downstream AI usage |
| Layer 2: Preparation | Notes and clinical records lack structure for AI processing | Convert into feature-ready formats via NLP, ETL, and vectorization |
| Layer 3: Intelligence | Models need to respect clinical nuance and privacy controls | Deliver private, compliant copilots designed to enhance—not replace—care |
Let’s Partner Toward an AI - Driven Healthcare Future
Take our AI Readiness Assessment
Find out where you stand and how fast we can deliver outcomes.
Talk to us or one of our healthcare adopters
Learn how they achieved measurable ROI without disrupting care.