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Everything You Need to Know About Working With Us
What is Frizb?
Frizb is an AI system that helps industrial companies like factories and mines understand what’s happening on the ground - using their existing cameras, sensors, and systems.
What does it do?
Frizb shows you what’s working, what’s not, and why. It brings together video feeds, machine data, and system logs into one clear view. It adds visual evidence to every alert or metric, so you're not guessing. It has AI agents that highlight issues in real time - like a machine running too fast, a blocked conveyor, or unsafe behavior. It works with what you already have - no need to replace your systems.
How does it work?
Frizb uses AI models trained to understand industrial environments: It “sees” what's happening through cameras and matches it with machine or sensor data. It recognizes different situations and triggers the right responses based on rules you set - like stopping a machine, alerting a supervisor, or creating a maintenance work order.
Where does it run?
Frizb can be deployed as a managed SaaS solution, in your private cloud, or on-premises—depending on your IT and security requirements.
What’s the value?
You get real-time visibility across your operations, without needing to watch every camera. Your team can react faster - because they know what’s happening and why. You reduce downtime, avoid safety issues, and improve how your operations run.
What is Operations Resource Planning in Frizb Context ?
Frizb’s Operations Resource Planning offers a clear, evidence-backed view of your operations across sites, timelines, and resources. It enables you to compare planned vs actual resource distribution, track machine performance, safety compliance, and human interactions. With visual evidence and aggregated metrics, Frizb empowers confident decisions on resource augmentation, repurposing, purchases, and investments—driving efficiency and strategic growth.
What is a Complex SOP?
A Complex SOP (Standard Operating Procedure) involves multi-step processes spanning multiple machines, personnel, and tasks, often requiring precise coordination, adherence to safety protocols, and compliance tracking. These SOPs are challenging to monitor because they integrate various activities across systems, from machinery operations to human interactions, demanding detailed oversight to ensure efficiency, safety, and quality. Frizb simplifies tracking by providing visual evidence, monitoring adherence, and identifying inefficiencies across these interconnected processes.
What does a Frizb AI Agent do?
A Frizb AI Agent acts as a virtual assistant for your operations, continuously monitoring compliance, tracking complex SOPs, gathering metrics, and providing visual evidence. It can join meetings, answer questions, generate reports, and present insights across IT, OT, IIoT, and camera systems. By automating data collection and analysis, it enables you to make informed decisions with clarity and precision.
What is Model Context Protocol (MCP) in Frizb?
Model Context Protocol (MCP) in Frizb integrates data from IT, OT, IIoT, and camera systems into a unified model. It enables seamless data contextualization, multi-modal inferencing, and automated control actions. MCP also supports RESTful interfaces, connecting Frizb’s industry-specific Vision Language Models (VLMs) and Large Language Models (LLMs) for advanced analysis, reporting, and decision-making with visual evidence.
What is Frizb?
Frizb is an AI system that helps industrial companies like factories and mines understand what’s happening on the ground - using their existing cameras, sensors, and systems.
What does it do?
Frizb shows you what’s working, what’s not, and why. It brings together video feeds, machine data, and system logs into one clear view. It adds visual evidence to every alert or metric, so you're not guessing. It has AI agents that highlight issues in real time - like a machine running too fast, a blocked conveyor, or unsafe behavior. It works with what you already have - no need to replace your systems.
How does it work?
Frizb uses AI models trained to understand industrial environments: It “sees” what's happening through cameras and matches it with machine or sensor data. It recognizes different situations and triggers the right responses based on rules you set - like stopping a machine, alerting a supervisor, or creating a maintenance work order.
Where does it run?
Frizb can be deployed as a managed SaaS solution, in your private cloud, or on-premises—depending on your IT and security requirements.
What’s the value?
You get real-time visibility across your operations, without needing to watch every camera. Your team can react faster - because they know what’s happening and why. You reduce downtime, avoid safety issues, and improve how your operations run.
What is Operations Resource Planning in Frizb Context ?
Frizb’s Operations Resource Planning offers a clear, evidence-backed view of your operations across sites, timelines, and resources. It enables you to compare planned vs actual resource distribution, track machine performance, safety compliance, and human interactions. With visual evidence and aggregated metrics, Frizb empowers confident decisions on resource augmentation, repurposing, purchases, and investments—driving efficiency and strategic growth.
What is a Complex SOP?
A Complex SOP (Standard Operating Procedure) involves multi-step processes spanning multiple machines, personnel, and tasks, often requiring precise coordination, adherence to safety protocols, and compliance tracking. These SOPs are challenging to monitor because they integrate various activities across systems, from machinery operations to human interactions, demanding detailed oversight to ensure efficiency, safety, and quality. Frizb simplifies tracking by providing visual evidence, monitoring adherence, and identifying inefficiencies across these interconnected processes.
What does a Frizb AI Agent do?
A Frizb AI Agent acts as a virtual assistant for your operations, continuously monitoring compliance, tracking complex SOPs, gathering metrics, and providing visual evidence. It can join meetings, answer questions, generate reports, and present insights across IT, OT, IIoT, and camera systems. By automating data collection and analysis, it enables you to make informed decisions with clarity and precision.
What is Model Context Protocol (MCP) in Frizb?
Model Context Protocol (MCP) in Frizb integrates data from IT, OT, IIoT, and camera systems into a unified model. It enables seamless data contextualization, multi-modal inferencing, and automated control actions. MCP also supports RESTful interfaces, connecting Frizb’s industry-specific Vision Language Models (VLMs) and Large Language Models (LLMs) for advanced analysis, reporting, and decision-making with visual evidence.
What is Frizb?
Frizb is an AI system that helps industrial companies like factories and mines understand what’s happening on the ground - using their existing cameras, sensors, and systems.
What does it do?
Frizb shows you what’s working, what’s not, and why. It brings together video feeds, machine data, and system logs into one clear view. It adds visual evidence to every alert or metric, so you're not guessing. It has AI agents that highlight issues in real time - like a machine running too fast, a blocked conveyor, or unsafe behavior. It works with what you already have - no need to replace your systems.
How does it work?
Frizb uses AI models trained to understand industrial environments: It “sees” what's happening through cameras and matches it with machine or sensor data. It recognizes different situations and triggers the right responses based on rules you set - like stopping a machine, alerting a supervisor, or creating a maintenance work order.
Where does it run?
Frizb can be deployed as a managed SaaS solution, in your private cloud, or on-premises—depending on your IT and security requirements.
What’s the value?
You get real-time visibility across your operations, without needing to watch every camera. Your team can react faster - because they know what’s happening and why. You reduce downtime, avoid safety issues, and improve how your operations run.
What is Operations Resource Planning in Frizb Context ?
Frizb’s Operations Resource Planning offers a clear, evidence-backed view of your operations across sites, timelines, and resources. It enables you to compare planned vs actual resource distribution, track machine performance, safety compliance, and human interactions. With visual evidence and aggregated metrics, Frizb empowers confident decisions on resource augmentation, repurposing, purchases, and investments—driving efficiency and strategic growth.
What is a Complex SOP?
A Complex SOP (Standard Operating Procedure) involves multi-step processes spanning multiple machines, personnel, and tasks, often requiring precise coordination, adherence to safety protocols, and compliance tracking. These SOPs are challenging to monitor because they integrate various activities across systems, from machinery operations to human interactions, demanding detailed oversight to ensure efficiency, safety, and quality. Frizb simplifies tracking by providing visual evidence, monitoring adherence, and identifying inefficiencies across these interconnected processes.
What does a Frizb AI Agent do?
A Frizb AI Agent acts as a virtual assistant for your operations, continuously monitoring compliance, tracking complex SOPs, gathering metrics, and providing visual evidence. It can join meetings, answer questions, generate reports, and present insights across IT, OT, IIoT, and camera systems. By automating data collection and analysis, it enables you to make informed decisions with clarity and precision.
What is Model Context Protocol (MCP) in Frizb?
Model Context Protocol (MCP) in Frizb integrates data from IT, OT, IIoT, and camera systems into a unified model. It enables seamless data contextualization, multi-modal inferencing, and automated control actions. MCP also supports RESTful interfaces, connecting Frizb’s industry-specific Vision Language Models (VLMs) and Large Language Models (LLMs) for advanced analysis, reporting, and decision-making with visual evidence.