Real-time industrial intelligence

The data engine for Industry 5.0

Industry 4.0 created the telemetry stream. DADOS converts it into decision-ready operational state — in milliseconds.
That's what makes Industry 5.0 possible.

Flow and Lightning+ maintain continuously updated in-memory industrial state — so agents, alerts, analytics, and dashboards are always current.

3.2ms
P99.99 ingest
27.3ms
P99.99 query
1.6billion
METRICS PROCESSED/30 min.
<30ms
End to end
Pipeline SparkPlug B Flow Decoded Arrow Tables Lightning+ 4.6ms max Rolling time windows Query response 5.0ms max
What We Do

In-Memory Industrial Intelligence Layer.

Runs alongside existing control systems.
Zero interference. Zero risk.

01

Ingest & Normalize Live Telemetry

Read-only subscription to MQTT / Sparkplug B. Live signals ingested and normalized continuously.

02

Maintain Decision-Ready In-Memory State

Apache Arrow state built in real time with rolling windows:
10s, 30s, 1m, 5m.

03

Query That State in Milliseconds

Serve phase status, deltas, rates, slopes, and last-known-good for any operational decision.

Industrial State in <30ms

Speed defines what decisions are possible.
DADOS is the in-memory industrial intelligence layer that runs alongside your existing control systems.

<30ms
Decision Latency
Read-Only
Zero System Risk
Apache Arrow
State Format
Status● Live
MQTTConnected
Latency P99<10ms
Arrow StateReady
Metrics Per Second3,470,000Stable
Windows10s · 30s · 1m · 5m
Read-OnlySecure
Sparkplug BConnected
Status● Live
MQTTConnected
Latency P99<10ms
Arrow StateReady
Metrics Per Second3,470,000Stable
Windows10s · 30s · 1m · 5m
Read-OnlySecure
Sparkplug BConnected
Why it matters

Milliseconds Matter in the Control Window.

Detect Drift Before It Becomes Failure

Real-time drift visibility across all windows

Minimize Unplanned Downtime

<30ms from signal to decision-ready state

Reduce Waste at the Source

Continuous in-memory state, zero polling lag
How it Works

Read-Only. Safe. Milliseconds-Fast.

Read-Only MQTT /
Sparkplug B Subscription

DADOS connects to the broker, subscribes silently, and never writes to or interferes with your control systems. It's deployed with zero operational risk.

Transform to In-Memory
Apache Arrow State

Raw telemetry is continuously transformed into structured state with rolling windows that display, in real-time, rates, deltas, and slopes.

Serve Queries in Milliseconds.

Any downstream system can query current industrial state in under 50ms, without touching or slowing down any of your control infrastructure.

Experience & Credibility

Built By Engineers Who've Done This.

01

Decades Building High-Performance, Real-Time Data Systems

We've spent careers building real-time data infrastructure at industrial scale. DADOS is the tool we always needed but never had — so we built it.

02

Deep Expertise in Ultra-Low-Latency & Distributed Architectures

Every architectural decision is driven by the hard latency requirements of real industrial environments.

03

Proven Delivery of Mission-Critical Enterprise Software

We understand what it means to ship software where failure is not an option and uptime is measured in nines.

Ultra-Low Latency Architecture

Every Layer Engineered for
Ultra-Low-Latency Industrial State.

Ingestion, state maintenance, and query are each independently optimized to keep end-to-end latency below 50ms — even under sustained industrial load with hundreds of active PLC topics.

Ingest Normalize Arrow State Query Engine Control Systems
P99.99 P50
Ingest 3.2ms ±1.0µs 1.9ms ±512ns
Query 27.3ms ±8.2µs 413.2µs ±128ns

End-to-end latency is the system

Measured performance

DADOS Flow — Real-Time Transformation

DADOS Lightning+ — Decision Latency

DADOS Persistence

DADOS benchmarks the only latency that matters

What We Measure

How End-to-End Latency Is Defined

Why These Numbers Matter

What This Enables

DADOS Reflection

In the DADOS architecture, Reflection plays a very specific role: it exposes the live operational state of the factory in a structured, queryable form so that humans, applications, and AI systems can see and navigate the system the same way the machines do.

Reflection is the real-time mirror of the Universal Namespace.

It continuously converts the live industrial message stream into a structured, browsable model of the factory’s operational state.

Where the broker carries messages, Reflection shows what the system currently is.

Data Center Control Demo

Ten server racks operate in steady state while CRAC-1 maintains cooling at 2000 RPM. Three racks overheat to 25 °C, creating a localized thermal fault.

Live telemetry triggers an automatic response, ramping fan speed to 2600 RPM. Temperatures stabilize and PUE adjusts — all within real-time control limits.

Energy Ramp Demo

A distribution feeder operates in steady state with six solar inverters online. When grid frequency drops from 60.0 Hz to 59.7 Hz, the system detects excess demand in real time.

A DCMD places BESS-01 into frequency-support mode, ramping output by 650 kW within configured limits and holding briefly.

Frequency stabilizes and the system returns to normal operation — without manual intervention or control rewiring.