Vision
An enterprise-grade digital twin environment for life sciences.
Echo harmonizes every dataset — from genomic sequences to batch yields — into a single ontology. Teams collaborate inside governed workspaces where provenance is cryptographic, insights are contextual, and operational foresight is built-in.
Unified ontology
Patients, compounds, batches, vendors, and devices modeled in one semantic graph.
Predictive foresight
Digital twin simulation engine exposes yield, resilience, and compliance signals.
Governance native
Policies orchestrated across data, compute, and action. Every decision leaves a trail.
Core architecture
From ingestion to simulation — governed every step.
Hover a layer to explore how Echo brings lab, clinical, and manufacturing operations into a single, audit-ready fabric.
Core functionalities
Operate the full lifecycle on one governed platform.
Echo unifies the entire life sciences lifecycle — research → clinical → manufacturing → market access — without compromising compliance.
Data unification
Echo synchronizes lab instruments, EHR systems, and production sensors into one standardized plane. Teams operate from identical, current information.
- Instrument + assay adapters
- Clinical & RWE connectors
- Operational telemetry ingestion
Technical highlights
Built for regulated science and industrial-grade operations.
Echo embeds compliance into every layer of the architecture, converting regulatory obligation into operational advantage.
Integration engine
Stream-based ETL with continuous ingestion from lab and ERP APIs.
Ontology engine
Graph database layer aligning real-world entities and relationships.
Provenance tracking
Hash-based version control enabling rollback and tamper-evident audit trail.
Secure analytics
Notebook compute supporting R / Python / SQL with container isolation.
ML & forecasting
TensorFlow + PyTorch pipelines for predictive yield and anomaly detection.
Digital twin core
Scenario simulation engine with Monte Carlo frameworks and policy guardrails.