Composable Streaming Intelligence
A JavaScript framework that turns data into actionable insights
Surprisingly simple. Seriously powerful.
Ask. Answer. Act.
How's Pump #42 been doing? Check sensor health and wash cycle state. Any actionable for my supervisor? Give me a visual summary.
Shorter Time to Value
Simplicity is speed
This complete health assessment workflow — validate sensors, detect spikes, trigger anomaly alerts, and generate statistical summaries — can be written in under a dozen lines of declarative code.
Composer's Flow Language lets you express what you want, not how to build it.
Agentic RAG for Streaming Intelligence
Your operations copilot — always on, always current
Beyond just retrieval over raw data.
Retrieval over computed insights in real-time — anomalies, pattern shifts, statistical digests.
On-demand analysis using correlation, trend, process capability and more —
all as AI-accessible tools via MCP Server (Model Context Protocol).
Composer surfaces the insights. You define the domain-specific semantics.
The LLM powers the reasoning.
// Natural language queries over your streaming analytics
"Which segments show engagement-latency correlation shifts?"
"When did Pump #42's vibration pattern shift?"
"Flag vehicles with anomalous oil pressure correlation"
No gap between analytics and operations.
Ops asks. AI answers instantly — from live streams or historical data.
No cross-team handoffs. No delays. No intermediaries.
Versatile by Design
Same building blocks. Different domains.
Industrial Equipment
Pump vibration vs. temperature. Different sensitivity per operating mode. Prevent unplanned downtime.
Vehicle Fleet
Correlation between oil pressure and RPM. Different thresholds per RPM band. Maximize fleet uptime.
E-commerce
Session engagement vs. page load time. Different baselines per user segment. Protect revenue in real-time.
Smart Buildings
HVAC efficiency vs. occupancy. Different targets per zone type. Optimize energy without sacrificing comfort.
Whether it's a failing pump or a disengaging user — Composer sees the pattern.
Why Composable?
Simple building blocks, infinite combinations
Signal Conditioning
Smooth, filter, clean
Statistics & Correlation
Moments, trends, relationships
Anomaly Detection
Thresholds, shifts, changes
Flow Control
Filter, route, gate
Aggregation
Rollups, digests, summaries
Intelligence
Inference, estimation, scoring
Each building block does one thing well. You compose them into exactly what you need.
Performance Without Compromise
Edge to cloud — same code at any scale
~100K
msg/sec
Raspberry Pi 5
>1M
msg/sec
Modern Server
~300K
msg/sec
tracking 200K Assets