Deploy & push trained agents onto any PLC, SBC or PC-based environment
Because of SQUIDBOT.io deployment simplicity & our non-interventionist principle, we encourage the use of non-sophisticated yet simple & robust hardware. Data exchange between our platform and your production line should be subjected to the least amount of complexity as a key factor for less risk & convex KPIs.
Incoming & outgoing communication comply with industrial & super-computing standards
SQUIDBOT.io flexibility enable engineers deploy trained agents onto any hardware whether it's industrial standard or management PC-based. We recommend though, the simplicity in communicating incoming data streams to our platforms through the use of industrial modules that proved long-term operational robustness.
Our mission is ensuring the minimum risk transfer that comes either from process system identification or from the excessive use of physical modules for platform-process communication.
Modules & Protocols
Deploy module
RaspberryPi has been used recently with super-computing & deep learning frameworks
Train module serving
Docker Containers are essential for easy server-client communication
Deploy module communication
Google Remote Procedure Calls as a Server-Client binding communication protocol
Industrial standard protocol
De-facto standard communication protocol for sensory-level to our platform
Deploy module PLC
Trained agents can be deployed on factory standard TI CPU modules
Deploy module PLC
Trained agents can be deployed on factory standard Allen-Bradley CPU modules
Deploy SBC module
Testing trained agents on our platform can be done seamlessly with Arduino SBCs
Reinforcement Learning
Our algorithms are built with Tensorflow for efficient deployment and serving
Security features
Your data is unlabeled. Our agents see numbers only instead of pre-defined process variables
Single-sign-on via industry standard authentication protocols
Support for two-factor authentication
256-bit encryption of data in transit and at rest
Private on-site cloud agent-training option is available for end-users requesting additional availability & security
SQUIDBOT.io and the EU General Data Protection Regulation (GDPR)
With SQUIDBOT.io, we are committed to helping our users understand the rights and obligations under the General Data Protection Regulation (GDPR), which took effect on May 25, 2018.
To learn more about our GDPR compliance, please read our GDPR Policy.
Inquiry about sensory & Security
If you think you may have a suggestion for hardware (PLCs, Micro-computers, I/O modules, Distribution modules etc...) or any security issue, please get in touch with our team.
Read more about Privacy Policy, Terms of Service, and GDPR Policy.
Contact us