Industry ยท Healthcare & life sciencesControl patient data at the source.
Research access can be delayed, and moving PHI creates governance risk. Process configured records near the point of care, then validate the complete pipeline against applicable requirements.
Patient data needs upstream control.
Research teams buried in pipeline maintenance instead of the science.
Moving sensitive data across regions creates compliance risk.
Late answers affecting patient outcomes and trial speed.
Configure field handling near the point of care and validate de-identification end to end.
Control configured data processing at the edge. Validate de-identification, routing, and compliance across the complete pipeline.
What Expanso delivers
Measure alert quality and latency in the intended clinical environment.
Process configured trial data and validate outputs and timing.
Analyze images at the edge without data transfer delays.
Share insights without moving sensitive patient data.
Assess the complete pipeline and operating environment.
Make healthcare data AI-ready
Clinical data needs alignment, qualification, and governance for AI-powered research and care.
Add semantic meaning to medical device data. Convert HL7/FHIR streams to structured, analyzable formats.
Enforce data quality standards at the point of care. Route incomplete records for review automatically.
Test field handling, configured outputs, operational metadata, and failure behavior against the full compliance environment.
Enhance the platforms you already use.
Snowflake for analytics. Databricks for AI. Splunk for security. Datadog for observability. Expanso sits upstream, sending clean, governed data to all of them.
Explore integrations
Kafka
PostgreSQL
Snowflake
NATS
ClickHouse
Redis
MQTT
Splunk
Oracle
MySQL
Redpanda
AWS
Azure
Google Cloud
OpenSearch
Parquet
Starburst
Databricks
OpenAI
Pinecone
Qdrant
Confluent
OPC UA
Ollama
SQLiteProcessing terabytes of patient data in centralized platforms?
Expanso can filter and transform configured inputs on customer-controlled nodes. Measure research, cost, privacy, and operational outcomes in the intended environment.
Open the ROI calculatorPowering the next generation of healthcare and research
Process configured records and validate governance coverage
Unified data access without centralization risk
Process genomics locally, share insights securely
Configure controls and validate them across jurisdictions
Break down silos while maintaining privacy
Analyze device data at the edge with governance
Track outcomes with automated de-identification
Validate traceability, data movement, and residency controls
Frequently asked questions
Expanso can process pipeline payloads on customer-controlled nodes and send only configured outputs to customer-chosen destinations. Healthcare compliance depends on the complete pipeline, infrastructure, identities, procedures, and legal requirements.
A job can process payloads on connected nodes and send configured outputs to chosen destinations. The field handling, privacy, residency, and research workflow must be designed and validated for the specific trial environment.
Check the current component catalog for the exact input, processor, and output required by your workflow. Do not assume an EHR or healthcare platform integration unless its component and configuration are documented.
Establish a baseline, run a representative workload, verify clinical and operational acceptance requirements, and calculate outcomes from observed infrastructure, destination, and operating costs.
Expanso can process configured device or IoT inputs on connected nodes. Suitability for clinical alerts, latency requirements, delivery guarantees, and regulatory use must be validated end to end in the intended environment.
Patient data stuck in silos?
If your clinical research waits months for data access approvals, or your PHI crosses boundaries it shouldn't, we should talk.
