Industry ยท Financial servicesControl Market Data at the Source.
Market data hits your platform milliseconds too late. Fraud alerts arrive after the money's gone. Process at the source. Decide faster.
Market data needs upstream control.
Four things trading and risk teams tell us. Open the one that sounds like your platform.
Add semantic meaning to market feeds as they arrive. Convert raw tick data to structured, analyzable formats before anything is shipped downstream.
Make financial data AI-ready.
Market and transaction data needs alignment, qualification, and governance for AI-powered trading.
Market Context at Source
Add semantic meaning to market feeds. Convert raw tick data to structured, analyzable formats.
Validate Transaction Data
Enforce data quality at the trading desk. Route anomalous transactions for review automatically.
Regulatory Compliance
Evaluate data-locality configuration as one control within the complete regulatory environment.
Better performance, faster decisions.
Three shifts you can measure in your own environment, not in a vendor benchmark.
Measured Latency
Measure decision latency in the intended environment.
AI-Ready Infrastructure
Run analytics where data is created.
Upstream Control
Filter, transform, govern before data moves.
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
Confluent
Redpanda
NATS
Snowflake
Databricks
Splunk
ClickHouse
Oracle
PostgreSQL
MySQL
Redis
Parquet
OpenSearch
Starburst
AWS
Azure
Google Cloud
OpenAI
Ollama
Pinecone
Qdrant
SQLite
MQTT
OPC UAProcessing terabytes of market data in centralized platforms?
Expanso filters, transforms, and governs data at the edge, before it reaches your data centers. Use the ROI calculator to size the impact on your own estate.
Example estimate from the calculator's default environment. Directional only, based on the inputs you enter.
Powering the next generation of financial services.
Process configured market data on connected nodes
Validate topology, residency, and latency by region
Process distributed ledger data with governance
Configure controls for jurisdiction-specific validation
Configure processing and validate rebalancing inputs
Validate data movement and residency controls
Measure verification latency and behavior
Process configured patterns and validate governance coverage
Frequently asked questions.
Expanso can process pipeline payloads on customer-controlled nodes and send only configured outputs to customer-chosen destinations. Regulatory compliance and data-residency outcomes depend on the complete configuration, infrastructure, identities, procedures, and legal requirements.
Expanso can filter or aggregate market-data records on connected nodes before transfer. Throughput, latency, downstream cost, and analytics behavior depend on hardware, configuration, network conditions, and destinations; measure them in the intended environment.
Use the current component catalog to identify documented inputs, processors, and outputs. Validate the intended pipeline against each market-data source, protocol, and destination; do not infer a native Bloomberg, Refinitiv, exchange-feed, or FIX integration.
Expanso can process transaction records on connected edge nodes and route results according to configured rules. Use documented Ollama API processor components where applicable; do not infer a native model runtime. Validate latency, detection behavior, retained metadata, and the complete investigation path in the intended environment.
Connected nodes can process configured market-data records in selected environments. Data movement, residency, regulatory, and analytics outcomes depend on the complete topology and controls and must be validated for each jurisdiction.
Fraud alerts buried in the noise?
If your trading signals arrive too late, or your compliance team is checking boxes instead of catching problems, let's talk.
