Healthcare & Life Science Agentic Platform

Accelerating Clinical Innovation Through Intelligent Automation

Industry-Specific AI Transformation

Our Healthcare & Life Science platform combines deep domain expertise with cutting-edge AI to revolutionize clinical operations, drug discovery, and patient care delivery.

Built on proven healthcare data models (HL7 FHIR, OMOP CDM) and integrated with industry-leading systems, we enable seamless orchestration of AI agents across the entire healthcare value chain.

1
Assess
Clinical workflows & data landscape
2
Design
Agent architecture & integration
3
Deploy
HIPAA-compliant implementation
4
Scale
Enterprise-wide adoption
Agent Ecosystem
Category Key Agents Capabilities
Foundational Molecular Analysis • Scientific Literature • Hypothesis Generation • Statistical Analysis Drug-target predictions, research mining, novel hypothesis creation, biostatistical modeling for trials and regulatory submissions
Technical Bioinformatics Pipeline • Lab Automation • Chemical Structure • Clinical Data Integration Omics processing, equipment control, molecular optimization, EDC/CTMS/eTMF harmonization across clinical systems
Functional Trial Management • Patient Recruitment • Site Selection • Budget Optimization End-to-end trial orchestration, EHR-based participant matching, performance-based site ranking, R&D resource allocation
Industry-Specific Drug Discovery • Pharmacovigilance • Regulatory Intelligence • RWE Analytics AI-driven target ID, global safety monitoring, submission tracking, real-world evidence generation for market access
Category Key Agents Capabilities
Foundational Clinical Reasoning • Risk Stratification • Care Pathway • Health Prediction Diagnostic AI, high-risk patient identification, evidence-based optimization, disease progression forecasting
Technical EHR Integration • Medical Imaging AI • Clinical NLP • IoMT Integration Health record harmonization, diagnostic image analysis, unstructured data extraction, medical device management
Functional Care Coordination • Revenue Cycle • Staff Scheduling • Patient Flow Multi-team orchestration, billing optimization, workforce deployment, care setting transitions
Industry-Specific Emergency Triage • Surgical Planning • Chronic Care • Population Health AI-powered prioritization, pre-operative optimization, disease management protocols, health trend analysis
Sample: Business Process Transformation

Clinical Trial Management

3-6 months → 2-4 weeks Protocol Design
Manual → AI-Driven Patient Matching
60% Faster
40% Cost ↓
3x Enrollment

Emergency Department

Manual Triage → AI Prediction Patient Assessment
Fragmented → Synchronized Team Coordination
45% Wait ↓
30% Throughput ↑
90% Satisfaction

Drug Discovery Pipeline

Literature Review → AI Recognition Target Identification
Trial & Error → ML Guided Lead Optimization
70% Time ↓
10x Compounds
50% Success ↑

Chronic Disease Management

Quarterly → Continuous Patient Monitoring
Reactive → Predictive Care Intervention
40% Admits ↓
85% Adherence
$3K Savings

Clinical Operations Transformation

▼

Patient Intake

AI-powered triage, automated documentation, predictive risk scoring

Diagnosis

Clinical decision support, differential diagnosis, imaging analysis

Treatment

Personalized protocols, drug interaction checks, outcome prediction

Follow-up

Remote monitoring, automated alerts, care coordination

45%
Reduced Wait Times
60%
Improved Diagnosis Accuracy
30%
Lower Readmission
$2.5M
Annual Cost Savings

Life Science R&D Acceleration

▼

Target Discovery

AI literature mining, pathway analysis, target validation

Lead Optimization

Molecular design, ADMET prediction, synthesis planning

Clinical Trials

Protocol optimization, patient matching, site selection

Regulatory

Automated submissions, compliance tracking, safety monitoring

70%
Faster Discovery
10x
Compounds Screened
40%
Trial Cost Reduction
2.5x
Success Rate

Healthcare System Integrations

▼

EHR Systems

Epic, Cerner, Allscripts, AthenaHealth, NextGen

Laboratory

LabCorp, Quest, Mayo, LIS/LIMS systems

Imaging

PACS, VNA, GE, Siemens, Philips modalities

Pharmacy

Surescripts, PBMs, Specialty pharmacy networks

Payers

Claims systems, Prior auth, Eligibility verification

Research

EDC systems, CTMS, eTMF, Biobanks, Registries

Data Models & Standards

▼
Standard/Model Purpose Implementation
HL7 FHIR R4 Clinical data exchange, API-first interoperability RESTful APIs, Resource bundles, Subscriptions
OMOP CDM Observational research, RWE analytics Standardized vocabularies, ETL pipelines
DICOM Medical imaging storage and transmission PACS integration, Cloud imaging archives
LOINC/SNOMED Clinical terminology standardization Code mapping, Semantic interoperability
ICD-10/CPT Billing, coding, reimbursement Automated coding, Revenue cycle management
Platform Architecture & Capabilities
Layer Components Technologies Healthcare Integration
AI/ML Core Clinical LLMs, Medical Image AI, Genomic Analysis, Drug Discovery ML GPT-4 Med-PaLM BioBERT AlphaFold FDA-approved algorithms, Clinical decision support, Diagnostic assistance
Agent Layer Clinical Reasoning, Patient Monitoring, Trial Management, Lab Automation LangChain AutoGen Semantic Kernel CDS Hooks, SMART on FHIR apps, Clinical protocols
Data Platform Patient Data Lake, Clinical Warehouse, Research Repository, RWE Database Databricks Snowflake Azure Synapse HL7 FHIR, OMOP CDM, i2b2, REDCap integration
Integration EHR Connectors, Lab Systems, Medical Devices, Pharmacy Networks Mulesoft Rhapsody Apache Kafka Epic, Cerner, Allscripts, PACS, LIS, RIS interfaces
Security & Compliance PHI Encryption, Access Control, Audit Logging, Consent Management Vault Privacera Immuta HIPAA, GDPR, 21 CFR Part 11, SOC2 compliance