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Grupo Unlix Custom engineering and development AITHA IoT platform and devices OSHTIA EV charging
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#AI

AI applied to your operations, with control

We apply artificial intelligence where it does real work: automating processes, assisting your team and analysing the data coming from your equipment. Always with configurable permissions and human review when the case requires it.

Talk about an AI use case Needs we address

Needs we address

Cases where AI does real work. If you recognise one, we take it from there.

Repetitive tasks eating hours

  • Classification, approvals, reports and conditional workflows currently done by hand.
  • We connect your systems and automate the task within defined rules.

Questions your team keeps answering

  • An assistant replies with context from your documents, manuals and data.
  • We configure answers with source references and assess their reliability during evaluation.

Equipment data going unused

  • Analysis and diagnostics on telemetry from your field devices.
  • Local (edge) processing when connectivity or latency demands it.

Decisions that must be recorded

  • The system proposes actions — update a configuration, start a process, escalate a case.
  • A person reviews and authorises; every decision is audited.

How it is assessed and deployed

AI enters through a bounded case; nothing is automated before its scope and its measure are defined.

1

Define the case and its measure of success

Which task to cover and how you know it works. No indicator, no pilot.

2

Bound the scope and the permissions

Which systems and data it touches, who can authorise each action and what stays out.

3

Pilot with human review

A scoped trial in your real operation, with a person reviewing the critical points.

4

Deploy, log and measure

Go-live with a record of every action and a review of the result before scaling.

We do not commit to results: each case defines its measure and the decision to scale, adjust or stop is taken with data.

Responsible automation principles

Automation with permissions and human review when appropriate

We don't build autonomous agents without limits. Every automation has: (1) a defined scope, (2) explicit permissions over which systems and data it can touch, (3) complete audit logs, (4) human review at critical points and (5) clear escalation when the context goes out of range. A person always has the final say on important decisions.

Automation with permissions and human review when appropriate

Built on AITHANEX

The group's AI is implemented in AITHANEX, the platform of the AITHA ecosystem: permissions, logging and human review live in its modules. The technical detail lives in AITHA; here you only need to know what to buy.

AITHANEX Agents

Bots and automations that listen to events, process data and execute actions with clear permissions.

Customer Service

The tray where agents propose actions and people review and authorise, with an audited history.

AITHANEX AI

Analysis and assistants over your operational data, with context from the connected equipment.

AI in AITHA

Full map of the ecosystem’s AI capabilities and where each piece lives.

These capabilities are part of AITHANEX, the platform of the AITHA ecosystem, which also integrates device telemetry and customer support. You are not forced to migrate your systems: the AI integrates with your current tools.

Grow your team with transparent AI

Tell us which tasks consume most of your team's time. We'll tell you whether AI helps and with what scope, permissions and review.

Talk about an AI use case
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