Condense: Real Time Streaming
Data Platform for Travel and Mobility
Condense is the real time data streaming platform from Zeliot. in which Infarsight holds a minority investment. Purpose built to turn raw operational data from Travel, Mobility and Logistics systems into decision ready data pipelines at enterprise scale.
What is Condense?
Condense is a real time operational data streaming platform developed by Zeliot, in which Infarsight holds a minority investment. It provides pre built connectors to Travel, Mobility and Logistics systems, semantic data models and real time pipeline infrastructure, forming the data foundation that Infarsight deploys for agentic AI and intelligent automation programmes requiring low latency, high quality data.
The Real Time Data Platform Every
Agentic AI Decision Depends On.
Pre built connectors
- GDS (Amadeus, Sabre, Galileo)
- PMS (Opera, Mews, Apaleo)
- CRM, ERP & financial systems
- IoT event streams via Zeliot
- Airline operational APIs
Semantic data models
- Travel: flight, passenger, booking, disruption
- Mobility: vehicle, route, driver, charge session
- Port: vessel, berth, container, equipment
- Operational metadata for decision context
Real time pipeline
- Streaming architecture on Apache Kafka
- Sub second latency for operational signals
- Batch & stream processing in a unified layer
- Auto scaling for peak operational loads
Governance & quality
- Data lineage from source to decision
- Quality scoring & anomaly detection
- Audit trail for every transformation
- Master data management & deduplication
Cloud & deployment
- Azure, AWS or hybrid cloud
- Infrastructure as Code (Terraform)
- Multi tenant architecture
- 99.9% uptime SLA on data pipelines
Zeliot IoT Integration
Condense integrates natively with Zeliot.in, Infarsight's strategic IoT investment, for real time vehicle and asset telemetry in Mobility deployments.
Visit zeliot.in →Built for Mobility. The infrastructure behind Digital Twins.
Condense exists for the fleet and EV side of Mobility, streaming live telemetry from vehicles and infrastructure in real time. It is the data layer behind Digital Twins, the broader solution category built to keep a live, synchronised replica of physical operations instead of a snapshot that is already outdated.
Further reading
From Data Chaos to a Connected, Modern Stack →
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