Discover How We Work
01
Requirement & System Study
We begin by understanding the existing setup, processes, and desired outcomes. This includes both hardware and control requirements so we know how the solution will integrate and scale.
Study of current equipment or planned hardware
Operational bottlenecks and goals
Data points and control logic requirements
02
Device Integration & Connectivity Planning
We identify how different devices, PLCs, sensors, or machines will connect to our platform whether retrofitted or newly deployed.
03
Control Logic & Edge Intelligence
Once the integration layer is finalised, we design custom logic for your process and embed intelligence at the edge for fast, offline-capable decision-making.
Compatibility mapping (existing vs new systems)
Communication protocols (Modbus, MQTT, CAN, etc.)
Edge hardware deployment planning
Real-time control logic
Embedded processors for local automation
Fail-safe and redundancy design
05
Cloud Platform & Remote Dashboards
After edge control is stabilised, the system is linked to our cloud layer where dashboards, analytics, and alerts become accessible remotely.
Real-time dashboards and trends
Energy and performance analytics
Cross-site visibility and control
04
AI Model Training (Based on Requirement)
If the project demands optimisation, predictive insights, or system learning, we train models tailored to real operating data.
Behavioural learning from equipment data
Pattern recognition for anomalies
Continuous model improvement as usage grows
Planning
System Design
At Precite.ai, our platform & hardware transforms machines into AI-enabled smart systems.
06
After Sales Service & support
Once deployed, we handle updates, performance improvements, and scaling requirements across multiple systems or sites.
Remote maintenance & software upgrades
Ongoing performance tuning
Easy scaling to new equipment / new locations
Discover How We Work
01
Requirement & System Study
We begin by understanding the existing setup, processes, and desired outcomes. This includes both hardware and control requirements so we know how the solution will integrate and scale.
Study of current equipment or planned hardware
Operational bottlenecks and goals
Data points and control logic requirements
02
Device Integration & Connectivity Planning
We identify how different devices, PLCs, sensors, or machines will connect to our platform whether retrofitted or newly deployed.
03
Control Logic & Edge Intelligence
Once the integration layer is finalised, we design custom logic for your process and embed intelligence at the edge for fast, offline-capable decision-making.
Compatibility mapping (existing vs new systems)
Communication protocols (Modbus, MQTT, CAN, etc.)
Edge hardware deployment planning
Real-time control logic
Embedded processors for local automation
Fail-safe and redundancy design
06
After Sales Service & support
Once deployed, we handle updates, performance improvements, and scaling requirements across multiple systems or sites.
Remote maintenance & software upgrades
Ongoing performance tuning
Easy scaling to new equipment / new locations
05
Cloud Platform & Remote Dashboards
After edge control is stabilised, the system is linked to our cloud layer where dashboards, analytics, and alerts become accessible remotely.
Real-time dashboards and trends
Energy and performance analytics
Cross-site visibility and control
04
AI Model Training (Based on Requirement)
If the project demands optimisation, predictive insights, or system learning, we train models tailored to real operating data.
Behavioural learning from equipment data
Pattern recognition for anomalies
Continuous model improvement as usage grows
Planning
System Design
At Precite.ai, our platform & hardware transforms machines into AI-enabled smart systems.
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