Cooper Energy TARS
01 / DATA

Energy companies
generate data.

We want that data to become
operational intelligence.

02 / HUMAN + AGENT

Employees
should not
work alone.

Every specialist can operate
with an AI counterpart.

03 / MEMORY

Knowledge should remain
with the company.

Even when people change.

experiencedecisionsworkflowscontext
Institutional MemoryWhat we learn. What stays.
04 / GENERATIVE UI

Interfaces should adapt
to the question.

Not force the user into predefined dashboards.

Show me what went
wrong in August.
3anomalies
2clients requiring attention
1major cost driver
ILLUSTRATIVE SCENARIO
05 / SYSTEMS

AI should not become
another isolated tool.

It should work across the systems
the company already uses.

CRM, Documents, BAS / 1C, Email, Energy data and External services connect through TARS.

06 / ACCESS

The next employee
may arrive with
their own AI.

The company should be ready
for both people and agents.

Identity.
Permissions.
Audit.
Control.
07 / MODEL

The model
may change.

The company’s intelligence should not
depend on one AI provider.

GeminiOpenAILocal modelsFuture models
TARSONE CONTINUOUS INTELLIGENCE
08 / THE IDEA

One operational layer
for people, data,
systems and AI agents.

TARS · AI-native operations for energy companies

You have seen the idea.

Now ask it yourself.

TARS
What would you like
to understand?
An evolving vision. An open conversation.Powered by AI · About the project