End-to-End Medical AI Infrastructure

The DeepCog Platform

A unified, enterprise-ready platform for deploying, fine-tuning, monitoring, and scaling specialized medical LLMs — from research prototype to clinical production in days, not months.

Deep Cognition Labs platform — floating holographic dashboards showing DNA analytics, genomic data, drug discovery models, and clinical AI intelligence screens

Everything you need to ship medical AI

Model Hub

Model Hub

Access, version, and deploy any DeepCog medical LLM via a single unified API. Switch models, run A/B comparisons, and roll back in one click.

7 Specialized Models
Fine-Tuning Studio

Fine-Tuning Studio

Adapt any base model to your proprietary clinical data using DPO, LoRA, and QLoRA pipelines — with HIPAA-compliant data handling throughout.

HIPAA Compliant
Observability

Observability & Monitoring

Real-time dashboards for model accuracy, latency, token cost, hallucination rate, and clinical safety flags — built for regulated environments.

Real-Time Alerts
Integration Layer

Integration Layer

Pre-built connectors for Epic, Cerner, Salesforce Health Cloud, HL7/FHIR, DICOM, and 40+ clinical data sources. No custom ETL required.

40+ Connectors
Enterprise Security

Enterprise Security

SOC 2 Type II, HIPAA BAA, ISO 27001, and FedRAMP-ready deployment. Private VPC, customer-managed encryption keys, and full audit trails.

SOC 2 Type II
AI & Analytics

AI & Analytics

Automated clinical insight generation, cohort analytics, and longitudinal patient trend detection powered by our medical foundation models.

Predictive Analytics

Built on a clinical-grade stack

The DeepCog Platform is architected in four distinct layers — from raw clinical data ingestion to model inference and downstream application delivery — each independently scalable and auditable.

  • FHIR R4 and HL7 v2 native ingestion
  • Multi-tenant with strict data isolation
  • Kubernetes-native, auto-scaling inference
  • On-premise, private cloud, or hybrid deployment
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// DEEPCOG PLATFORM STACK
Application Layer
Clinical Dashboards · APIs · Webhooks · SDK
AI & Inference Layer
OpenBioLLM-70B · ClinicalReasoner · GenomicLLM · DrugDiscovery-LLM
Data & Orchestration Layer
FHIR R4 · HL7 · DICOM · Vector Store · RAG Pipeline
Security & Compliance Layer
HIPAA BAA · SOC 2 · AES-256 · Audit Trail · RBAC
✓ On-premise  ·  ✓ Private Cloud  ·  ✓ Hybrid

Deploy in four steps

1

Connect Your Data

Link your EHR, lab system, or data warehouse via our pre-built FHIR/HL7 connectors or REST API.

2

Select Your Model

Choose from our library of specialized medical LLMs or bring your own model for fine-tuning.

3

Customize & Fine-Tune

Adapt the model to your clinical workflows, terminology, and organizational guidelines.

4

Deploy & Monitor

Go live with one-click deployment and real-time performance monitoring built in from day one.

Powering every clinical workflow

Hospital Systems
Hospital Systems

Hospital Systems

Automate clinical documentation, discharge summaries, and prior-authorization letters using EHR-integrated AI that understands your institutional context.

Research Institutions
Research Institutions

Research Institutions

Accelerate literature synthesis, hypothesis generation, and cohort identification across millions of PubMed papers and clinical trial datasets.

Pharma & Biotech
Pharma & Biotech

Pharma & Biotech

Speed up drug discovery pipelines with ADMET prediction, compound-target interaction modeling, and regulatory document drafting.

Genomics Labs
Genomics Labs

Genomics Labs

Interpret VCF files, classify variants of uncertain significance, and generate ClinVar-ready reports with our GenomicLLM suite.

Platform at a glance

CapabilitySpecification
API Latency (p99)< 800 ms for 70B parameter models under standard load
Uptime SLA99.9% guaranteed; 99.99% on dedicated clusters
Deployment OptionsSaaS, private cloud (AWS / Azure / GCP), on-premise bare metal
Data StandardsFHIR R4, HL7 v2.x, DICOM, VCF, SNOMED CT, ICD-10/11, RxNorm
ComplianceHIPAA BAA, SOC 2 Type II, ISO 27001, GDPR, 21 CFR Part 11
Fine-Tuning MethodsDPO, LoRA, QLoRA, SFT — with your data, in your VPC
Max Context Window128 K tokens (OpenBioLLM-70B-Long)
Languages SupportedEnglish, Spanish, French, German, Mandarin (clinical corpora)
ThroughputUp to 10,000 concurrent inference requests per cluster

Ready to build on DeepCog Platform?

Schedule a technical deep-dive with our solutions engineering team and get your first model deployed in under 48 hours.

Request a Demo → View All Models