Where confidentiality meets intelligent clinical decision support.
CloudMD is a domain-specific Small Language Model — fine-tuned from MedGemma and verified against the UMLS knowledge graph — that delivers structured, explainable clinical reasoning without a single byte of patient data leaving your environment.
1000×
Smaller than GPT-4
100%
Privacy-safe
4B/27B
MedGemma sizes
Patent
Filed · Pending
Clinician input
Vitals · history
MedGemma SLM
Step-by-step reasoning
UMLS verifier
Knowledge-graph checked
Explainable output
Structured · auditable
Today's AI forces healthcare to pick two of three: accuracy, cost, or confidentiality.
01
Doctors need AI support
Complex diagnostic decisions require reliable, fast clinical reasoning — not chat-bot guesses.
02
Big models = big costs
GPT-4 and DeepSeek require cloud calls per query. Expensive, latent, and unsustainable at scale.
03
Privacy is non-negotiable
Sending patient data to external APIs violates HIPAA and erodes the trust clinicians depend on.
Not just answers — verified clinical thinking.
CloudMD generates step-by-step clinical reasoning, then verifies every output against established medical knowledge before it reaches the clinician. The model runs entirely on your infrastructure — no cloud round-trip, no third-party API, no PHI ever leaving the building.
Structured reasoning
Step-by-step decision logic the clinician can audit, not a black-box answer.
Medical-knowledge verification
Outputs validated against UMLS and clinical guidelines before display.
Workflow-aligned
Designed to fit existing clinical workflows — assist, never replace.
Removable patient context
Doctors can clear a patient's data from the model context anytime.
A reasoning-tuned SLM, a knowledge-graph verifier, your hardware.
/ 01
Reasoning-tuned SLM
MedGemma 4B & 27B fine-tuned to reason like senior clinicians. Up to 1000× smaller than GPT-4-class models.
/ 02
UMLS KG verifier
Every reasoning chain checked against the Unified Medical Language System for clinical correctness.
/ 03
On-prem deployment
Runs inside your data center, clinic, or private cloud. Customer-built, area-wise medical separation.
Model size
4B / 27B
Cost vs cloud LLMs
~99% lower
PHI sent externally
None
Fig. 01 — Customer-controlled vault
Built for healthcare — not adapted from general AI.
Live in clinics today — expanding rapidly across healthcare systems.
CloudMD's Health SLM is already deployed across personal clinics with Sri Lanka Medical Council registered medical officers — spanning general practice, OPD, and ICU/HDU settings. The rollout is now expanding to hospital networks, rural health programs, and partner healthcare systems across the region.
10+
Personal clinics live
24×7
Continuous availability
ICU / OPD
Across care settings
Personal clinics & private practice
Active deployments with SLMC-registered medical officers across general practice, OPD and ICU/HDU.
Hospital networks & rural programs
Onboarding multi-site hospital groups and underserved-region health initiatives across South Asia.
Three commitments. No exceptions.
- i.
Efficiency & scalability
Lightweight models cut infrastructure costs and deploy across distributed clinical environments.
- ii.
Privacy & control
Operates in controlled environments. Zero external data exposure. Patient data autonomy by default.
- iii.
Structured reasoning
Step-by-step decision logic with transparent, auditable outputs — never a black box.
In the media.
Predictiv AI Expands Active Deployment of CloudRep.ai Across Healthcare, Retail, Real Estate, Travel and Global Markets
Predictiv AI Inc. (CSE:PAI)(FWB:7IT) announces continued progress in the deployment and expansion of its AI-powered communications platform, CloudRep.ai, into multiple industries and international markets — including active healthcare deployments with registered medical officers.
More publications & clinical case studies in the pipeline.
We're preparing peer-reviewed write-ups and deployment briefs from ongoing pilots with registered medical officers.
/ 07 — Talk to us
See CloudMD reason on a real clinical case.
We'll walk through deployment in your environment, the UMLS verifier, and what your team needs to go live in weeks — not quarters.
Patent pending · Predictiv