Cutting-edge AI on a robust data foundation.
MAESTRO is engineered as a multi-tenant enterprise platform with clear separation between experience, domain logic, governed data and integration boundaries — so content, operations and evidence flow predictably end to end.
Enterprise-grade by design.
Built on proven technologies with a modular architecture that scales from a single facility to a network of 50+ locations — without compromising performance or security.
- Modern stack application with server-side rendering and a versioned REST API with token auth and throttling.
- PostgreSQL with enforced referential integrity, optimized queries and a Redis caching layer.
- Celery task queue for background processing of reports, alerts, migrations and bulk operations.
A high-level blueprint.
Six layers that interoperate so data, intelligence and evidence move through the system without friction.
Experience layer
Responsive, accessible, role-aware web experiences plus a versioned REST API for automation, bulk extracts and connectivity to adjacent clinical and quality systems.
Domain modules
Each area — clinical, inventory, content, biobank — owns its models and services while sharing organization context, permissions and subscription limits.
Workflow & tasks
A cross-cutting workflow engine drives approvals and operational tasks that span modules — reducing duplicate data entry between teams.
AI core
Specialized models for document processing, NLP, anomaly detection and analytics — continuously learning while staying compliant.
Security & audit
Authentication hardening, role-based access control, PHI-aware audit tagging and immutable logs designed to satisfy joint QA and IT assessments.
Async & scale
Background workers handle heavy exports, notifications and bulk operations so interactive pages stay responsive during reporting spikes.
The intelligence layer.
We integrate AI with rigorous data management for a comprehensive solution that adapts to your needs.
AI core technology
Specialized models for document processing, NLP, anomaly detection and analytics — continuously learning while staying compliant.
Unified data layer
A centralized repository that maps relationships between trials, documents, inventory, specimens, quality events and metrics — killing silos for good.
Integration capabilities
Pre-built connectors, REST APIs and adapters for clinical data standards — with comprehensive audit trails out of the box.
How data moves through MAESTRO.
A predictable path from ingestion to insight — governed and audited at every step.
- 01
Ingest
APIs, pre-built connectors, validated migration and barcode/scan capture bring data in cleanly from day one.
- 02
Govern
Role- and location-scoped access, separation of duties and retention policies enforce control at the data layer.
- 03
Process
The AI core classifies, validates, forecasts and drafts — while background workers handle heavy jobs.
- 04
Surface & audit
Role-aware dashboards, a versioned REST API and scheduled exports — every action immutably logged.
Proven technologies, not science projects.
We build on a mature, well-understood stack so the platform stays fast, secure and maintainable as it scales.
Modern Stack · server-side rendering · REST API v1 (token auth, throttling)
PostgreSQL · Redis cache · automated backups · 7-year audit retention
Celery task queue for reports, alerts, migrations & bulk operations
Argon2 · MFA (TOTP) · Azure AD SSO · RBAC · TLS 1.3 · AES-256
Validated import from any application, finance systems, or external operations, Excel, CSV & SharePoint
Managed Databases · auto-scaling · WAF · Security Shield · 99.99% uptime target
Built for regulated environments.
Security is woven through authentication, authorization, logging and how we handle sensitive research and health information.
Immutable audit trails
Append-only logs across dozens of action types, with user identity, IP, session context and before/after snapshots.
Strong authentication
MFA via TOTP, enterprise SSO (Azure AD / Entra ID), Argon2 password hashing and configurable session controls.
Least-privilege access
Granular, organization-scoped and location-scoped roles, plus separation of duties for sensitive operations.
Data protection
TLS 1.3 in transit, AES-256 at rest, HSTS enforcement, secure cookies and comprehensive input validation.
Deploy MAESTRO wherever your data needs to live.
Choose the provider, region and topology that fit your regulatory, cost and geographic constraints — without vendor lock-in.
- Deployment flexibility across public cloud, private cloud and on-premises environments.
- Data sovereignty by selecting Canadian regions (ca-central-1) and customer-managed keys where required.
- Managed databases, auto-scaling compute, WAF and DDoS mitigation with a 99.99% uptime target.
Architecture & deployment, answered.
Yes. MAESTRO is cloud-agnostic — deploy on AWS, Azure, GCP, Oracle, IBM or DigitalOcean, or on-premises. You choose the provider, region and topology that fit your regulatory, cost and geographic constraints, with no vendor lock-in.
Both models are supported. The platform is a multi-tenant enterprise application by default, and dedicated instances are available where data residency or customer-managed keys are non-negotiable.
Validation packages aligned to GAMP 5 are available to customers, with documented installation, operational and performance qualification — and the platform itself maintains the audit trails and controls that validation depends on.
Yes. A versioned REST API (v1) with token authentication and configurable throttling exposes inventory, content and clinical operations, alongside pre-built connectors and structured exports in CSV, Excel and PDF.
Organization-scoped data isolation, role- and location-based access control, separation of duties for sensitive operations, encryption in transit and at rest, and immutable audit logging across dozens of action types.
Build on a platform engineered to last.
Talk to our team about architecture, deployment topology, data residency and validation — and how MAESTRO fits your stack.