Trusted by 150+ Customers
Adopting AI?
The challenge is data.
AI performance starts with data.
Capture all your raw data, keep it long term and access it instantly.
Live Ingestion at Scale
01
Collect sensor and equipment data in real time at scale.
Slow, Partial Queries
03
Query time ranges with SQL and dashboards
to check equipment health.
Misaligned Data Timelines
02
Compress data in real time to save space and retain raw data long term.
PoCs That Stall Before Production
04
Rebuilding collection, transforms, APIs and security for each AI PoC hinders production rollout and company-wide adoption.
Neo usage demo
Equipment Vibration AI
Use raw vibration data and FFT to detect faults and plan maintenance.
Machine Blackbox
Compare sensor data and video on the same timeline to trace the causes of failures and quality issues. The demonstration starts at 3:50.
LLM Data Analyst
Create charts and AI reports from time-series data. See how it works with a financial data example.
OPC-UA Historian
Auto-collect PLC data for long-term history and live edge analysis.
From Manufacturing to Finance,
Customer Results
About 150 customers manage time-series data at scale with Machbase.
Unified Bulk Data
3B total records
Live Stock Data Storage
300K records/sec
National Water Resources Real-time Platform
17 million cases per second
It collects and stores 200,000 production data points per second. It analyzes process trends and quality causes by querying backed-up history without restoration.
Collect driving data every second with IoT devices.
As users grow from 100K to 1M,
24/7/365 reliability is maintained.
Link sensor and quality data to trace defects.
Defect costs down 50~60%, delivery lead time down 60~70%.
Built an energy data platform
that collects and stores power data in real time.
Deployment time: 4 months → 2 weeks. Servers: 3 → 1.
From Collection to Action,
All in Neo
Database Engine
Compress and store time-series data at scale. Query it with SQL.
Ingest millions of records per second
Compress raw data in real time
Analyze with standard SQL
Scale across Edge, Server and Cluster
Data Service Platform
Transform data with TQL and connect it to APIs and dashboards.
HTTP · MQTT · OPC-UA
TQL Transforms & Analysis
Dashboard·Tag Analyzer
API · Token · X.509
AI Application Runtime
Use JSH and apps to connect insights to operations and AI.
Data Replication
OPC-UA Client
Machine Blackbox
LLM Chat · Industry Apps
FAQs
Do I need it with a Historian or RDBMS?
Yes. Traditional Historians and RDBMSs cannot keep up with growing data volumes.
Keep them, and start with high-rate raw data, long-term history and live AI feeds.
Deploy at the Edge or in the Cloud?
Start at the data source on the Edge and scale to a server or cluster with the same data structure.
Can I start without an AI model?
Yes. Start with data collection, storage and queries. Connect apps and AI as needed.
Free Trial vs. Custom Demo?
Try Neo yourself: install it, ingest sample data, run SQL and view charts.
For a custom demo, agree on goals, data and test scope with our team.
Start with Neo
Today
Install Neo to try it, or discuss your project with our team.
Dashboard
TQL & Charts
01
Download
Download the package for your OS.
02
Run
Start services with one executable.
03
First Chart
Load sample data and view your first chart.
LLM Chat
SQL Queries
