Events / sec
LIVE
284,712
+0 / tick
Ingestion stream · pipeline-prod-01
P99 Latency
SUB-200ms
142ms< 200ms SLA ✓
Transform layer · flink-job-analytics
Active Nodes
GLOBAL
5/ 8 active
Distribution mesh · 14 regions

We wire live data pipelines into your decision workflows. Operations teams stop reacting to yesterday's numbers and start steering with what's happening now.

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Capability Stack

Five layers.
One coherent pipeline.

01
Ingestion

Capture every signal at source velocity.

We instrument your producers — Kafka topics, CDC streams, webhook bursts — and land events in your warehouse within seconds, not hours. No data left in the queue.

< 2sSource-to-warehouse latency
02
Transformation

Clean, join, and enrich in-flight.

Flink jobs and dbt models reshape raw events into trusted business entities before they touch a dashboard. Your analysts stop arguing about metric definitions.

47%Reduction in "wrong number" incidents
03
Alerting

Know before your customer does.

Rule engines and ML anomaly detection fire Slack pings and PagerDuty escalations the moment a metric crosses threshold — with context, not just a number.

340msMedian alert-to-notification time
04
Visualization

Dashboards that refresh while you read them.

We replace stale Looker extracts with live-query surfaces backed by materialized views. The number you see is the number that's true — right now.

0 hrsData freshness lag (from 14 hrs avg)
05
Governance

Audit trails regulators actually trust.

Every event carries lineage metadata. Compliance teams get immutable logs, schema versioning, and anomaly flags that arrive before the regulator's email does.

100%Event lineage traceability
Stack Fluency

Toggle your stack.
Watch it connect.

Click any node to activate it. Shared connections illuminate across the pipeline. No integration left behind.

SourcesProcessingWarehousesVisualization
KafkaPostgres CDCWebhooksFlinkdbtSnowflakeBigQueryRedshiftLookerGrafana
Click nodes to light up your stack
Client Outcomes

Specific results.
Not vague wins.

Mid-Market SaaS · VP Operations
−83%
Time spent reconciling metrics
"We had fourteen dashboards and zero confidence. Pulse rebuilt our ingestion layer and now we close the Monday standup in eight minutes instead of forty. The number everyone sees is the same number."
CL
Marcus Bellingham
VP Operations, Clarisync
Logistics · Director of Supply Chain
6 hrs
Earlier anomaly detection vs. before
"Shipment exceptions were piling up in a spreadsheet someone refreshed twice a day. Pulse wired our WMS directly into a live exception queue. We catch delays before carriers even call us."
FB
Priya Venkataraman
Director of Supply Chain, FreightBridge
Fintech · Head of Compliance
340ms
Median time-to-alert on anomalies
"Our previous setup gave regulators T+1 logs. With Pulse, we have sub-second anomaly flags and immutable audit trails. The last examination was the smoothest we have ever had."
VP
Tobias Reinhardt
Head of Compliance, Veritas Pay
34
Pipeline deployments in 2025
< 2s
Median data freshness achieved
99.97%
Pipeline uptime SLA maintained
6 wks
Average time to first live pipeline
Free · No card required

Download the
Pulse Diagnostic

A free desktop agent that audits your pipeline latency and freshness scores across existing data infrastructure. Runs in under 4 minutes. Results you can act on today.

Ingestion lag per source
🔄
Transform bottlenecks
📊
Dashboard freshness scores
🛡
Lineage gap detection

macOS · Windows · Linux · No data leaves your environment