Q

2.0

๐Ÿฅ  Providers ยท Payers ยท Pharma ยท Life Sciences

Your AI Data Team for Healthcare.

Working alongside your clinical, research, and operations teams.

Six AI agents on a shared semantic layer. Ask. Analyze. Act.

Plain-English requests, routed to reliable execution โ€” across EHR analytics, clinical research, claims, and population health. xAQUA sits on your existing Epic, Cerner, claims, and lab systems and stores no PHI.

50%
Faster clinical trial timelines
100%
PHI stays in your environment
Weeksโ†’Hrs
CDISC dataset generation
๐Ÿฅ
Ask Cezu · Healthcare & Life Sciences
Plain-English in. Reliable execution out.
Show patients matching our Phase III oncology inclusion criteria
๐Ÿฅ
Found 2,847 eligible across 12 sites. 54% female ยท mean age 58.3. Comorbidity match 78%. Site-level breakdown attached. PHI never left your environment.
Build a CDISC-compliant SDTM dataset for FDA submission
๐Ÿฅ
Transformed source EDC โ†’ SDTM/ADaM. Validated against FDA SDRG. 100% conformance. define.xml + reviewer's guide generated.
The Problem

Your stack is powerful.
But it doesn't work as one system.

A typical health system runs 500+ source applications. Add claims, labs, devices, registries, and research platforms, and you have a Frankenstack โ€” with PHI scattered across every layer.

๐Ÿฅ
EHR Fragmentation

Patient data scattered across multiple EHRs, departmental systems, and legacy platforms. FHIR alone doesn't solve semantic drift between providers.

500+
Source systems in a typical health system
โฑ๏ธ
Trial Inefficiency

3+ minutes per data point in Phase II/III trials. For 10K data points ร— 200 patients, that's 5,000 hours of manual abstraction per study.

5,000h
Manual abstraction per Phase III oncology trial
๐Ÿ”’
PHI Risk & HIPAA

Every tool that copies PHI multiplies risk. Most AI vendors require sending data out โ€” a non-starter for most CISOs.

$10M+
Average cost of a healthcare data breach
You don't have a healthcare data system. You have a Frankenstack.
How xAQUA Works for Healthcare & Life Sciences

Your Data Stays Where It Lives.
The Intelligence Comes to You.

xAQUA connects to your existing healthcare & life sciences systems and unifies them through a shared semantic layer โ€” without copying or storing a byte.

YOUR DATA SOURCES xAQUA SEMANTIC LAYER BUSINESS OUTCOMES EHR Systems Epic ยท Cerner ยท MEDITECH ยท Athena Claims & Billing Payer claims ยท denials ยท reimbursement Lab & Imaging LIS ยท RIS ยท pathology ยท genomics Clinical Trials EDC ยท CTMS ยท IRT ยท safety Devices / IoT Vitals ยท monitors ยท wearables Registries Disease ยท outcomes ยท pharmacovigilance x xAQUA ๐Ÿถ Cezu AI concierge โ€” routes intent to right agent ๐Ÿง  Six AI Data Agents Steward ยท Governance ยท Analyst ยท Engineer ยท Scientist ยท BI ๐Ÿ“š Shared Semantic Layer Unified business definitions, metrics, glossary โšก AI Execution Engine GPT-OSS ยท embeddings ยท query planner ๐Ÿ”’ Governance & Trust PII masking ยท audit trail ยท RBAC ยท lineage Clinical Patient cohort discovery, care gaps Research CDISC SDTM/ADaM in hours, not weeks Operations Throughput, capacity, denials Population Risk stratification, outcomes analysis xAQUA stores nothing โ€” your data stays where it lives. The semantic layer makes it conversational.
Your AI Data Team

Six Agents. One Mission.

Each agent is a full-powered application โ€” not a chatbot. They share one semantic layer, so what one agent learns about your data, every other agent knows.

Six AI Agents. One Mission. Your Healthcare & Life Sciences Data Team. Each agent is a full-powered application โ€” and they share one semantic layer. ๐Ÿฅ Healthcare & Life Sciences Shared semantic layer Plain-English in. Reliable execution out. ASK ยท ANALYZE ยท ACT ๐Ÿง  AI Data Steward Your data expert. Ask anything. FOR HEALTHCARE & LIFE SCIENCES โ€ข Unified data dictionary across EHRsโ€ข Code-system mapping (LOINC ยท SNOMED ยท ICD) ๐Ÿ›ก๏ธ AI Data Governance Quality. Privacy. Trust. FOR HEALTHCARE & LIFE SCIENCES โ€ข PHI masking ยท de-identificationโ€ข HIPAA ยท 21 CFR Part 11 audit trail ๐Ÿ“Š AI Data Analyst Ask. Prepare. Analyze. Act. FOR HEALTHCARE & LIFE SCIENCES โ€ข Plain-English clinical & ops queriesโ€ข Cohort discovery for trials ๐Ÿ”ง AI Data Engineer Pipelines from natural language. FOR HEALTHCARE & LIFE SCIENCES โ€ข EHR ยท claims ยท lab pipelinesโ€ข CDISC SDTM/ADaM transforms ๐Ÿงช AI Data Scientist Models, predictions, insight. FOR HEALTHCARE & LIFE SCIENCES โ€ข Risk stratification ยท readmission modelsโ€ข Imaging & genomic pattern discovery ๐Ÿ“ˆ AI BI Specialist Dashboards & narratives. FOR HEALTHCARE & LIFE SCIENCES โ€ข Quality measure ยท HEDIS dashboardsโ€ข Operations scorecards w/ narrative
What You Can Do

Built for Healthcare & Life Sciences.

Real workflows that healthcare & life sciences teams run every day โ€” now conversational, reliable, and fully governed.

๐Ÿ”ฌ
Clinical Trial Acceleration

Cohort discovery in hours, automated CDISC SDTM/ADaM generation, and protocol-deviation analytics.

๐Ÿ“‹
Quality & HEDIS Reporting

Auto-assemble HEDIS, CMS Star, and quality measures with full lineage. No more spreadsheet archaeology.

๐Ÿงฌ
Real-World Evidence

Combine EHR, claims, and registry data into RWE studies with consistent definitions and provable provenance.

๐Ÿ’Š
Pharmacovigilance

Adverse event signal detection across post-market data. Faster safety reviews with regulator-ready evidence.

๐Ÿ’ฐ
Denials & Revenue Cycle

Predict denials before submission, root-cause patterns, and rework prioritization across payer mix.

๐Ÿ‘ฅ
Population Health

Risk stratification, care gap closure, and outcomes analytics across attributed populations.

The Architecture

Sits on Your Stack. Stores Nothing.

xAQUA is the conversational and semantic layer above your existing healthcare & life sciences data platforms โ€” your data never leaves your environment.

๐Ÿ‘ค PLAIN-ENGLISH REQUEST "Find patients matching our Phase III oncology criteria" x xAQUA Compound AI Data Platform ยท sits on your stack ยท stores nothing ๐Ÿ—ฃ๏ธ Conversational Layer
Cezu ยท 23-route intent classifier ยท plain-English routing
๐Ÿง  Shared Semantic Layer
Unified business definitions, metrics, glossary across agents
โšก AI Execution Engine
Six AI agents ยท query planner ยท text-to-SQL ยท ML pipelines
๐Ÿ”’ Governance & Trust
PII masking ยท RBAC ยท audit ยท lineage ยท tenant isolation
YOUR EXISTING DATA STACK ยท UNCHANGED ยท UNCOPIED ๐Ÿฅ EHR Systems Epic ยท Cerner ยท MEDITECH ๐Ÿ“‹ EDC / CTMS Medidata ยท Veeva ยท Oracle ๐Ÿ”ฌ Lab / RIS / PACS LIS ยท pathology ยท imaging โ˜๏ธ Cloud Warehouse Snowflake ยท Databricks ยท BigQuery ๐Ÿ“Š BI Tools Tableau ยท Power BI ยท Qlik ๐Ÿ—ƒ๏ธ Data Lakes S3 ยท ADLS ยท GCS ZERO DATA STORED PLAIN-ENGLISH IN
Built for Regulated Workloads

Compliance by Construction.

Every query is governed. Every action leaves an auditable trail. Every piece of data has lineage. Built for how regulators ask, not how vendors describe.

HIPAA / HITECH21 CFR Part 11GxP / GCPGDPRFDA SDTM/ADaMEHR FHIR / HL7ONC interoperabilityEU AI Act
Measurable Impact

Outcomes That Compound.

Augment your existing teams. Cut cycle time. Replace disconnected tools. Ship reliable AI in production.

50%
Faster trial cohort discovery
100%
PHI stays in your environment
Hours
CDISC dataset generation (was weeks)
100%
HIPAA-aligned audit trail

Ready to Augment Your Clinical and Research Teams?

See how xAQUA's AI Data Team works alongside your EHRs, EDC, and claims systems โ€” answering plain-English questions without copying a single PHI record.