Without enough data,
AI cannot assess operations accurately.
THE DATA INFRASTRUCTURE BEHIND INDUSTRIAL AI
No AI can accurately assess operations using sampled data, broken timelines and missing raw data.
Machbase turns every moment on site into data your AI can use immediately.
Tell us about your equipment, data frequency, retention period and the problem you want to solve. Our engineers will review it.
COLLECT EVERY SIGNAL
PRESERVE EVERY MOMENT
POWER EVERY AI
Industrial data performance, proven in numbers.
#1 TPCx-IoT 24M/s PLC data 17M/s Water resource data 150+ Clients
Where would you like to start?
Choose the path that best fits your needs.
DATA BOTTLENECK
I have a data issue.
If you face slow ingestion, query bottlenecks, high storage costs or a Historian replacement, start with a review of your data architecture.
PHYSICAL AI POC
I'm starting an industrial AI project
For projects such as anomaly detection, quality traceability or predictive maintenance, start with relevant data and a demo.
SELF-VALIDATION
I want to try the product
Prefer hands-on testing? Download Machbase Neo and explore data ingestion, SQL, charts and dashboards yourself.
WHY AI HAS TO GUESS
Before improving AI performance,
AI errors aren’t just a model problem.
When operational data is lost, fragmented or delayed, decisions become guesswork.
01
There is no original data.
When high-frequency sensor data disappears from devices and files, AI can no longer learn what caused failures and quality issues.
03
You cannot retrieve the necessary data immediately.
Queries that take minutes or data reduced to samples cannot support real-time decisions and repeated training.
02
Data Timelines Don’t Align
When sensor data, logs and video follow different timelines, you cannot reconstruct an event’s context or cause and effect.
04
PoCs Do Not Reach Production
If collection, transformation, API, and security are rebuilt for every project, AI PoCs will not lead to field operations and enterprise-wide expansion.
THE DATA AI CAN TRUST
Accurate AI decisions
COMPLETE
Every signal
Capture data from PLCs, sensors, logs and video without loss.
CONTINUOUS
Every moment
Reconstruct past conditions with continuous data at its original resolution, rather than samples.
CONTEXTUAL
One context
Align data by time, equipment, process and event to analyse cause and effect together.
AVAILABLE
Instant access
Access data immediately at the edge and on servers through standard SQL, APIs, dashboards and apps.
Remember and understand your operations, then act with the Machbase Neo data platform
ONE DATA FOUNDATION · THREE CONNECTED LAYERS
More than another database, Machbase provides the complete architecture connecting events in the physical world to AI decisions and operational action.
LAYER
01
Preserve operational history
Database Engine
Ingest high-frequency sensor data, logs and raw time-series data at high speed, with real-time compression for long-term retention.
Ingest millions of records per second
Real-time raw data compression
Instant analysis with standard SQL
Edge, server, and cluster scaling
LAYER
02
Make data understandable
Data Service Platform
Connect ingestion, transformation, analysis, visualisation and APIs so AI and business systems can use OT data immediately.
HTTP, MQTT and OPC-UA connectivity
Data transformation and analysis with TQL
Dashboard and Tag Analyzer
API, token and X.509 security
LAYER
03
Turn insights into action
AI Application Runtime
Use JSH and built-in apps to connect analysis results to alerts, maintenance, quality and operations.
Data Replication
OPC-UA Client
Machine Blackbox
LLM Chat and industry-specific apps
PROVEN WITH REAL INDUSTRIAL DATA
Data infrastructure must prove its performance
Reliably process large volumes of real-time data over the long term for vehicles, PLCs, water systems, vessels and insurance.
Hyundai Motor Company
50x Faster
Large-scale vehicle driving data analysis
LS ELECTRIC
24M records/sec
PLC sensor data processing
K-Water
17M records/sec
Real-time national water data platform
HD Hyundai Marine Solution
200+ vessels
Satellite-based vessel data management
Hanwha General Insurance
800K+ vehicles
24/7 IoT insurance services
Industrial data infrastructure proven in manufacturing, mobility, energy, public services and finance
DOWNLOAD · RUN · VERIFY
See it work with
your own data.
Machbase Neo brings a database, MQTT, HTTP, TQL, dashboards and APIs together in one environment.
NEO
LIVE DATA
Test everything from ingestion to real-time visualisation in one environment.
01
Download
Download the package suitable for the operating system.
02
Run
Start the service with a single executable file.
03
Verify
Test ingestion, SQL and charts with real data.
FROM COMPLETE DATA TO BETTER DECISIONS
More complete data.
Equipment Vibration AI
Combine raw high-speed vibration data with FFT to detect anomalies and determine when maintenance is needed.
Machine Blackbox
Replay sensor data and video on the same timeline to trace the causes of failures and quality issues.
OPC-UA Historian
Automatically collect PLC data and provide long-term history and real-time analysis at the edge.
LLM Data Analyst
Turn natural-language questions into SQL, charts and diagnostic reports to shorten analysis time.
Robot & Humanoid
Continuously store joint, motor and control data to analyse motion anomalies and performance changes.
LiDAR Intelligence
Preserve distance and point streams as time-series data to detect spatial changes and safety anomalies.
WHERE PHYSICAL DATA BECOMES VALUE
For every industry
Quickly build industry-specific analytics and AI applications on a single data platform.
01
Manufacturing
Equipment anomalies · Quality traceability · Process optimization
04
Robotics
Robots · Humanoids · Autonomous systems
02
Mobility
Vehicle, vessel and railway condition data
05
Defense & Aerospace
Vibration · Test equipment · Condition diagnostics
03
Energy
Real-time battery, power and water operations
06
Financial Data
High-frequency market time-series data
WHERE PHYSICAL DATA BECOMES VALUE
Customer stories
Our customers span manufacturing, food and beverage, maritime, ports, cities, healthcare, rechargeable batteries and more.
HD Hyundai Marine Solutions integrates
Machbase into its global fleet management
solutions, using artificial satellites to gather
data from hundreds of vessels and
monitor their statuses in real-time.
They are highly satisfied with Machbase's
performance, stability, and service quality,
having switched from InfluxDB.
Since 2018, they've collected about
9 billion data points and handle tens of
millions of ship data points daily.
Lotte Chilsung Beverage uses Machbase to store and analyse sensor data from beverage production, improving manufacturing quality.
It chose Machbase to overcome Microsoft SQL Server performance limitations that restricted real-time data collection and analysis.
Since 2021, Machbase has processed up to 200,000 records per second, enabling the data analytics team to extract and analyse data in real time and improve quality.
With KEPCO and ETRI, we created a
platform for real-time power data
collection, processing, analysis,
and visualization.
Initially, the complex and slow
Hadoop-based architecture posed
challenges in performance, reliability,
and cost maintenance.
Machbase was introduced as our data
processing infrastructure for storing and
managing large power data volumes,
delivering 6x lower cost and
50x faster performance.
Hanwha General Insurance,
formerly Carrot General Insurance,
collects real-time data
from over one million vehicles and
integrates it into their real-time
insurance processing.
Driving data from hundreds of thousands
of vehicles nationwide, connected via
high-speed LTE, is stored usin
Machbase Cluster Edition.
Machbase's high-availability technology
ensures 24/7/365 uninterrupted service,
even during unexpected cloud
service provider failures.
Click to explore the details
A practical start
START SMALL · PROVE END-TO-END · SCALE
01
Assess data gaps
Check for missing raw data, timeline issues, retention limits and query bottlenecks.
02
End-to-End Verification
We verify the entire process from collection to storage, analysis, services, and business applications as a single flow.
03
Scale Across Sites
We repeatedly apply verified data structures and apps to facilities, lines, and workplaces.
COMMON QUESTIONS
Common questions
Do I need this if I already have a Historian or RDBMS?
Yes, it is essential. Keep your existing systems and start where you need high-frequency raw data, long-term history and real-time data for AI.
Where do you deploy it, Edge or Cloud?
Start where data is generated at the edge, then scale to a single server or cluster using the same data architecture.
Can I start without an AI model?
Yes. First validate raw data capture, timeline alignment, long-term retention and instant queries. Once you introduce an AI model, you can build your business solution faster and more accurately.
What can I explore in a demo?
The demo has no feature restrictions. Use your own or sample data to test ingestion, compressed storage, SQL queries, charts, dashboards and APIs end to end, and quickly evaluate the product.
