Equipment intelligence · Proprietary agentic AI

GEO IntelliPRO AIDiagnose faster.
Strengthen your
technical team.

AI for teams maintaining critical equipment. A true Pocket Expert with equipment-specific technical guidance to investigate failures, recover assets, deliver the microtraining your team needs and identify operational opportunities.

Diagnosis. Recovery. Microtraining. Operational opportunities.

Equipment-specific guidance
Illustrative green crawler sugarcane harvester
FROM SIGNAL TO DECISIONThe right knowledge.
The next clear step.
SymptomEvidenceGuided action
Technical knowledge + asset context + human judgment
01
03

Clients & relationships

Organizations that trust
GeoCarbonite Technologies.

Across agriculture, bioenergy, industry and services.

  • Cargill Bioenergia
    Cargill Bioenergia
  • Syngenta
    Syngenta
  • São José
    São José
  • Tereos
    Tereos
  • Fermentec
    Fermentec
  • AGT
    AGT
  • CTC
    CTC
  • Piramidal
    Piramidal
  • Seguros Unimed
    Seguros Unimed

The operating reality

Machines fail.
Knowledge shouldn’t.

GEO IntelliPRO AI makes technical knowledge usable at the moment a maintenance decision has to be made.

Technician searching through manuals and a laptop for technical information01 / SEARCH FRICTION

Diagnosis takes too long

Manuals, maintenance records and technical answers are scattered. The team spends valuable time finding information before repair can begin.

An experienced mechanic sharing knowledge with a younger technician02 / SPECIALIST DEPENDENCY

Expertise stays with a few people

Critical know-how depends on individual experience. New technicians take longer to learn, and different shifts approach the same failure differently.

Illustrative heavy truck awaiting maintenance in a logistics yard03 / OPERATIONAL LOSS

Every stopped minute matters

Delayed diagnosis and recurring failures extend recovery time, interrupt production and increase pressure on the maintenance team.

From symptom to solution

An expert workflow.
In your technician’s pocket.

Equipment-specific guidance that connects the problem, the evidence and the next action. Practical support for experienced technicians and new team members.

Illustrative diagnostic journey
01 / INPUT

Start with the right equipment.

A technician describes the symptom by text or voice and adds the asset and operating context.

Self-propelled harvesterSystem: hydraulics · Asset selected
TECHNICIAN’S QUESTION

“Hydraulic pressure drops under load. What should I investigate first?”

TextVoiceAsset context

GEO IntelliPRO AI · ProcMaker optional module

Product experience in development

Expertise becomes
an executable procedure.

ProcMaker turns expert demonstrations and authorized video, voice and technical material into draft procedures and equipment-specific AI knowledge.

  • Clear steps, tools, parts and visual references.
  • Safety information and quality checks in the task context.
  • Expert approval of applicability and each version before publication.

Approved procedures feed GEO IntelliPRO AI guidance and targeted microtraining. Feedback from the field opens a controlled revision cycle.

Discuss ProcMaker

Optional module in development. Availability, scope and commercial terms are defined with each customer.

ProcMakerFROM FIELD TO KNOWLEDGE
Field demonstration from supplied product material, with the play overlay removedExpert demonstration
Capture the know-how.Video · voice · approved material
Structured draft + specific AI knowledge
ILLUSTRATIVE DRAFT

Maintenance
procedure

Equipment contextTechnical references
Prepare safelyPPE, isolation and prerequisites.
Structure the taskSteps, tools and visual references.
Verify the outcomeAcceptance and recovery checks.
Expert review before publication.Approve applicability, safety and the released version.
Approved procedures feed guidance and microtraining.

The intelligence behind GEO IntelliPRO AI

Proprietary agentic AI.
A real team of specialists.

GEO IntelliPRO AI uses proprietary agentic AI technology. A coordinated team of specialized agents works across 7 knowledge layers to deliver distinctive, equipment-specific results.

PROPRIETARY KNOWLEDGE + SPECIALIZED REASONING
7knowledge layers

One coordinated team

Symptoms
Hypotheses
Equipment expertise
Corrective actions
Equipment-specific guidance. Human judgment.

Evidence connects the next action to the asset and its operating context.

Conceptual view of the architecture.

KNOWLEDGE

Grounded in your operation

Approved technical sources, OEM information, asset configurations, client policies and validated failure cases, connected with source and applicability.

REASONING

Specialized multi-agent guidance

Specialized agents connect symptoms, hypotheses, equipment expertise and corrective actions in a structured flow supported by evidence.

LEARNING

Human-governed improvement

Experts validate what becomes a reference. Field interactions preserve learning and improve guidance through a controlled revision process.

An intelligence layer for maintenance.

Maintenance management systems organize assets, work orders and schedules. GEO IntelliPRO AI adds guided diagnosis, technical knowledge and decision support at the point of work.

ERPGEO IntelliPRO AICMMSIntegration scope is defined for each project.

Preventive intelligence · Technical audit + management value

Better prevention.
Clearer management decisions.

GEO IntelliPRO AI compares the plan, execution evidence and equipment requirements. Maintenance managers receive a clearer view of gaps, risk priorities, accountable recommendations and governance.

  • Compare scheduled tasks with manuals, equipment configuration and local standards.
  • Identify missing tasks, outdated intervals and incomplete service records.
  • Prioritize recommendations by criticality, evidence and operational impact.
Discuss your preventive plan
AN AUDIT IN GEO IntelliPRO AI

Plan × Execution

Plan

What the asset requires

  • Required tasks
  • Service intervals
  • Safety prerequisites

Execution

What the records show

  • Completed work
  • Recorded exceptions
  • Supporting evidence
Equipment contextManuals · configuration · local standards
Compare evidence. Prioritize human review.
OPPORTUNITIES FOR REVIEW
Missing activitiesRequired work outside the plan.
Service intervalsTiming that needs reassessment.
Execution evidenceIncomplete records or confirmation.
Equipment fitMatch tasks to model and configuration.

Illustrative comparison. Recommendations are reviewed and approved by the maintenance team.

WHAT THE MAINTENANCE MANAGER RECEIVES

From findings to
decisions you can follow.

Gaps with a precise address

Associate findings with the equipment and the specific maintenance activity.

Priorities driven by risk

Classify recommendations as low, medium, high or critical for team review.

Recommendations with follow-through

Connect the responsible person, evidence, next action and follow-up.

Governance and financial visibility

Track decisions and execution. Assess financial impact when sufficient data is available.

Illustrative recommendation

Risk-informed prioritization

LowMediumHighCritical
Equipment + activityFilling line / seal inspection
Gap
Incomplete execution evidence
Owner
Maintenance lead
Evidence
Work record + approved task
Next action
Confirm inspection and record the outcome
Expert review → execution → follow-up

Illustrative example. Risk classification and actions require maintenance-team review.

Operational impact

Less time diagnosing.
More time producing.

Results reported in GeoCarbonite’s initial customer analysis in Brazil’s sugarcane industry.

UP TO85%

Reduces diagnosis time by up to 85%.*

UP TO24%

Reduces Mean Time to Recovery (MTTR) by up to 24%.*

INDICATIVE RETURN< 30days

potential ROI in the initially analyzed customer scenario*

*Figures come from the supplied GeoCarbonite pitch and its initial-year customer analysis. Diagnosis time and total recovery time are different indicators. Results and payback vary with the operation, deployment and use case.

Field photograph supplied with the Usina São José testimonial
Usina São JoséKnowledge that stays with the people doing the work.

Field voice

“GEO IntelliPRO is my partner! It is accurate solving my doubts!”

Edson FelixUsina São José

Equipment-specific support. From the people who use it.

The shared foundation

The context behind
better decisions.

These capabilities support corrective and preventive maintenance by connecting equipment context, operational evidence and technical learning.

Digital Garage

A living profile for each asset.

Models, configurations, documentation, maintenance history, parts and technical interactions in one context.

Model intelligence

See the patterns behind failures.

Explore recurring alarms, likely root causes, action plans and knowledge gaps for each equipment model.

Machine Garage

Explore your equipment universe.

Navigate models and manufacturers through a visual 3D garage with orbit and zoom views.

Troubleshooting

Ask in the context
of the equipment.

Equipment-specific answers connect likely causes, guided checks, required tools and recovery steps.

Learning Machine · Microtraining

Microtraining.
Exactly when your team needs it.

Short, focused microtraining connects validated cases and knowledge gaps to the task at hand. Develop technical reasoning, reinforce safety and build equipment-specific skills at the moment of need.

Technical microtraining

Technical reasoning and practical skills.

Safety microtraining

PPE, prerequisites and site policies.

Equipment microtraining

Model, configuration and failure modes.

Procedure microtraining

How to execute, verify and learn.

GEO voice accessory concept in an industrial setting
Wearable voice interface in the ear
VOICE INTERFACE CONCEPT

AI at the point of action

Keep the knowledge
close to the technician.

GEO IntelliPRO antiMTTR headphones

GEO IntelliPRO antiMTTR headphones bring hands-free conversational access to the point of work, including noisy industrial settings. The accessory and conversational mode are offered according to each project’s scope.

Talk to the team about channels, accessories, connectivity and the appropriate setup for your field conditions.

Discuss the field setup

Product direction

From recovery
to progressive intelligence.

Corrective and preventive intelligence are the current focus. ProcMaker develops the capture of expert know-how. Connected and progressive intelligence guide the next horizon.

CURRENT FOCUS

Recover & prevent.

Equipment-specific guidance and preventive auditing, grounded in approved knowledge.

  • Diagnosis & recovery
  • Preventive review
  • Validated learning
IN DEVELOPMENT

Capture expertise.

ProcMaker transforms field demonstrations into drafts for expert review.

  • Expert demonstrations
  • Structured procedures
  • Human approval
PRODUCT ROADMAP

Connect & anticipate.

Broader decision support informed by enterprise integrations, equipment signals and validated operational learning.

  • Connected intelligence
  • Condition-informed decisions
  • Progressive intelligence

Roadmap phases indicate direction, rather than current capabilities. Scope and timing are agreed for each project.

For asset-intensive operations

Where downtime, safety
and knowledge matter.

A common need: clear equipment knowledge, practical guidance and people ready to act.

Manufacturing

Production lines, plant equipment and maintenance teams.

Agriculture & bioenergy

Harvesting equipment, sugar and ethanol operations.

Material handling

Forklifts, lifting systems and warehouse assets.

Heavy equipment & OEMs

Equipment-specific expertise across service teams.

Mining & energy

Critical assets in demanding operating conditions.

Fleet operations

Consistent equipment knowledge across distributed teams.

Equipment-specific intelligence.
Across critical assets.

From mobile fleets to fixed industrial systems.

Illustrative buses application

Buses

Fleet availability and equipment-specific guidance.

Illustrative trucks application

Trucks

Technical knowledge across distributed maintenance teams.

Illustrative industrial boilers application

Industrial boilers

Critical plant assets, documented checks and maintenance context.

Illustrative bottling & filling lines application

Bottling & filling lines

Guided investigation and recovery of production equipment.

Illustrative injection molding machines application

Injection molding machines

Equipment configuration, likely causes and practical procedures.

Illustrative cargo ships application

Cargo ships

Critical onboard assets and accessible technical knowledge.

Illustrative offshore platforms application

Offshore platforms

Maintenance knowledge for demanding offshore environments.

Illustrative food processing equipment application

Food processing equipment

Asset recovery, preventive review and focused microtraining.

Illustrative applications. Equipment knowledge, configuration and deployment are adapted to each project.

GeoCarbonite Technologies

Technology that makes
complex work more human.

We develop AI for critical operations. Our mission is to simplify complexity, improve productivity and turn knowledge into resilience, strengthening people in the moments that matter most.

Founded in 2022, GeoCarbonite operates in Brazil and the United States, working with asset-intensive organizations seeking measurable operational improvements.

BrazilUnited States
Illustrative scene of specialists sharing equipment knowledge at the point of work
Human expertise.
Amplified by technology.
Knowledge · practical guidance · human judgment

See it in your operation

Make your next
maintenance decision clearer.

Tell us about corrective bottlenecks, preventive gaps and the equipment that matters most to your team. We’ll show you where GEO IntelliPRO AI can help.

Request a demonstration

Let’s understand your operation.

By submitting, you are asking GeoCarbonite to contact you about GEO IntelliPRO AI.