Connect

Connect and unify all of your factory data

Sight Machine securely connects and unifies all data sources related to production

We continuously transform and analyze all plant data so that you can focus on improving production.

Connect to your factory data

Jumpstart your Data Lake/ Data Collection with Factory Connect

Factory Connect connects to any source of data in the manufacturing environment, standardizes the data in a json payload, and routes it to the cloud.

Factory Connect frequently sends data to Kafka topics and it can also be easily sent elsewhere. Minimal transformations are made so you can quickly iterate on changes in the cloud.

Collect

Transform

Transmit

Flexible

Connectors for every source of data

Cloud, Edge, and Local Server Deployment
Build your own Connectors
Off-the-shelf Connectors
- SQL databases — via SQLAlchemy
- CSV / Excel (xls, xlsx) / log files
- REST APIs: generic/PIweb/Proficy
- REST APIs: ThingWorx/Predix/MindSphere
- File Systems: local, FTP, Windows Share, S3, ADL
- OPC UA/UA-H
- PLC: Modbus
- PLC: CC-link
- Other custom receivers for Novel data sources
- Integrates with historians/translators/proxies

Resilient

Built for manufacturing

Store and forward
Optimized for network bandwidth
Built-in Alerting

Encrypted

Secure transmission to the cloud

Encrypts data for transmission
SOC2 Compliant

Real Outcomes In Weeks

Getting started is easy

Curious about how we can help? Schedule a chat about your data and transformation needs.

View Use Cases

Talk to an Expert

Connect

Connect and unify all of your factory data

Sight Machine securely connects and unifies all data sources related to production

Connect to your factory data

Jumpstart your Data Lake/ Data Collection with Factory Connect

Flexible

Connectors for every source of data

Resilient

Built for manufacturing

Encrypted

Secure transmission to the cloud

Real Outcomes In Weeks

Getting started is easy

Previous: Overview

Next: Transform

Making Plant Data Continuously Useful for Operations, IT, and Data Science

With OEE Insight from Sight Machine, Metals Company Fixes 5% Scrap Rate.

High-speed, highly automated producer with outstanding production practices created real-time Data Foundation at multiple plants. New OEE gains achieved by detecting elusive bottlenecks and improving scrap.

High-speed, highly automated producer with outstanding production practices created real-time Data Foundation at multiple plants. New OEE gains achieved by detecting elusive bottlenecks and improving scrap.

World-class batch process manufacturer improved its throughput by 7% in only two months.

High-speed, highly automated producer with outstanding production practices created real-time Data Foundation at multiple plants. New OEE gains achieved by detecting elusive bottlenecks and improving scrap.

Global dairy processor optimized throughput and quality for a 5% increase in yield of its high-performance product line.

Insights within the first 2 weeks. Large paper manufacturer used Artificial Intelligence and Machine Learning to pinpoint discrepancies with Warp, defects and energy consumption.

Manufacturer of aerospace sensors performs root cause analysis with data to reduce quality problems across its 90 step-process.

Automotive manufacturer achieves 91% reduction in machine downtime through predictive downtime analytics.

World-class manufacturer, regularly recognized as a leader in quality and plant operations, reduces downtime, scrap and waste by deeply incorporating constant analysis of Data Foundation into its workflow.

Leading paper manufacturer improved energy use by analyzing thousands of data sources across all its processes.

Global manufacturer improved development and performance of supplier equipment by implementing a network of visibility and analysis tools across suppliers.

Leading contact lens manufacturer needed to analyze thousands of alarms on a highly automated line to identify throughput delays and reduce scrap.

One of the world’s largest medical device manufacturers struggled with CNC machines’ scrap rate.

Global automotive manufacturer produced engine blocks across 3 plants in its luxury division. Persistently high defects could not be resolved.

Major automotive supplier controlled costs and reduced waste in their seat production and assembly line.

Large pharmaceutical company wanted to take Continuous Improvement to the next level by reacting faster to losses in a new packaging line

Manufacturer analyzed CNC data to reduce downtime and variation

Leading hardware manufacturer enhanced its efficiency across multiple lines through automation and visualizing Takt time.

Heavy equipment manufacturer challenged by lack of visibility into downtime

Global brewer solves 20-year downtime problem by analyzing thousands of alarms per shift.