Streaming Platforms
Move data as it happens
Event Streaming
Kafka, Pulsar, and cloud streaming buses with schema registries, consumer groups, and exactly-once processing where it matters.
Stream Processing
Flink, Spark Streaming, and custom workers for aggregations, joins, fraud scoring, and near-real-time feature pipelines.
Observability & Ops
Lag monitoring, DLQs, replay tooling, and SLO-backed alerting so pipelines degrade gracefully under load.
Voice & Audio
Voice and audio pipelines included
We design end-to-end audio systems for transcription, real-time voice agents, call analytics, and media processing — not just tabular event streams.
Voice Pipelines
Capture, stream, and process live voice with low-latency STT, diarization, and downstream NLU for support agents, IVR, and voice bots.
- WebRTC / SIP ingest and media servers
- Streaming speech-to-text with partial results
- Speaker diarization and call summarization
- Real-time agent assist and compliance redaction
Audio Pipelines
Batch and streaming audio processing for podcasts, meetings, media libraries, and quality monitoring — with storage, encoding, and enrichment stages.
- Ingest, transcoding, and adaptive bitrate packaging
- Noise reduction and audio quality scoring
- Embedding & search over spoken content
- Archival storage with retention policies
Common use cases
Fraud & Risk
Score transactions and sessions in milliseconds from streaming signals.
Product Analytics
Real-time funnels, feature flags, and user behavior pipelines.
Contact Centers
Live transcription, coaching, and QA on voice channels.
Media Platforms
Audio ingest, processing, and searchable content libraries.
Technologies
Need a real-time or voice pipeline?
Share your latency targets, data sources, and audio requirements — we'll propose an architecture.
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