Product — industrial AI and knowledge

GoharMind

An industrial knowledge and intelligence surface: it answers technical questions from the plant’s own documents, records and data, and shows the evidence behind every answer.

01

Contextual retrieval

Finds the relevant standard, drawing or record, not a generic answer.

02

Evidence trail

Every response carries its source so it can be reviewed.

03

Operational analytics

Trends and comparisons drawn from real process history.

04

Decision support

Structured options for an engineer to accept or reject.

05

Private deployment

Runs inside the organization’s own boundary.

06

Human in the loop

Nothing is actioned automatically on plant equipment.

For the Gol Gohar zone

Built against real production lines.

GoharMind is being built for the concentrate, pelletizing, direct-reduction and steel-making lines of the Gol Gohar zone, with the utilities that support them.

That focus is deliberate: an industrial knowledge layer is only credible when it is grounded in one real operating environment first.

Client companies — Gol Gohar zone

The five companies GoharMind is built for.

Each company’s production lines shape what the knowledge layer has to answer. The GoharMind column below states its contribution for that specific operation.

Golgohar Mining & Industrial Company

Golgohar Mining & Industrial Company

Anchor operator of the zone: extraction through pelletizing.

Production lines

Open-pit extractionConcentrate plantsPelletizing plantsHematite recovery
GoharMindGoharMind

Consolidates plant documentation, standards and maintenance history so engineers can trace a concentrate-line problem back to real evidence instead of memory.

GoharTwinGoharTwin

Represents the concentrate and pellet lines as a synchronized model, so throughput and quality changes can be examined before they are attempted on the line.

Goharzamin Mining and Industrial Company

Goharzamin Mining and Industrial Company

Mining and concentrate production alongside the anchor operation.

Production lines

Mine planningCrushing and grindingConcentrateTailings management
GoharMindGoharMind

Turns geological reports, grade records and process notes into a searchable technical context for mine and plant engineers.

GoharTwinGoharTwin

Models the feed-to-concentrate chain so grade variation and equipment availability can be simulated together.

Sirjan Iranian Steel Company (SISCO)

Sirjan Iranian Steel Company (SISCO)

Direct reduction and billet production inside the zone.

Production lines

Direct reduction (DRI)Melt shopContinuous castingBillet finishing
GoharMindGoharMind

Keeps furnace practice, heat records and reduction-plant procedures in one reviewable place, with every answer tied to its source document.

GoharTwinGoharTwin

Simulates the DRI-to-caster chain, so energy use and yield can be tested against a change in charge or schedule.

Golgohar Iron & Steel Development Co.

Golgohar Iron & Steel Development Co.

Downstream steel making and expansion projects.

Production lines

Steel makingLadle metallurgyCastingProject engineering
GoharMindGoharMind

Gives project and process engineers a single technical memory across construction packages, commissioning notes and vendor documents.

GoharTwinGoharTwin

Represents new and existing lines side by side, so an expansion can be examined against current plant behaviour.

Sirjan Jahan Steel Company

Sirjan Jahan Steel Company

Integrated steel production, from reduction to long products.

Production lines

Direct reductionMelt shopContinuous castingRolling
GoharMindGoharMind

Holds furnace practice, heat records, rolling schedules and quality deviations in one reviewable technical memory, with every answer tied to its source.

GoharTwinGoharTwin

Simulates the reduction-to-rolling chain, so a change in charge mix or schedule can be tested against energy use and yield.

Contact

Start with the industrial context.

Share the problem, the environment, and the objective without including confidential operational information. We will continue through an appropriate channel.

Start a conversation