Agents for specific industrial use cases, powered by tailored models and context. We provide the agent and runtime as open source, with model and context licensing and lifecycle support from IA Foundry.
Your agent, powered by a specialized industrial model and context licensed from IA Foundry. Context includes industrial knowledge and task instructions.
When a machine fails to restart, the agent investigates. It gathers the permitted alarms, recorded signals and PLC logic, traces the blocking conditions and checks possible causes. It completes the diagnostic case or requests the exact observation needed to continue.
Completed result
A diagnostic case with the supported blocker or cause, source evidence and the relevant approved next procedure.
When your team steps inPhysical inspection or repair, unavailable observations and cases that cannot be resolved from the evidence. Machine operation stays within your authorized process.
KPIs to improve
Diagnosis lead time
Reduce time from incident intake to an accepted diagnosis.
Human diagnostic effort
Reduce hours per accepted diagnosis, including exceptions and rework.
Wrong diagnoses and reopened cases
Reduce incorrect conclusions and cases that need a second investigation.
Incident restoration time
Shorten time to restore production where diagnosis delays recovery.
PLC change review
For controls engineering operations
Review changes and run the regression work automatically.
Every submitted revision starts a review. The agent follows dependencies, checks changed behaviour, builds regression tests for the supported harness and runs the required offline checks. It corrects recoverable test-generation errors and delivers the completed review with actual results.
Completed result
A change review with classified findings, regression-test artifacts, executed results and explicit coverage limits.
When your team steps inConflicting requirements, unsupported cases and design decisions needed to fix a defect. Your release process controls deployment to the machine.
KPIs to improve
Review lead time
Reduce time from a submitted revision to a completed review and required checks.
Human review and test effort
Reduce engineering hours per accepted review, including corrections and audit.
Missed regressions
Reduce consequential defects missed by the review; track false blocking findings separately.
Keep the advisory queue moving without manual asset-by-asset screening.
As advisories and inventory updates arrive, the agent determines which assets are affected, checks version and deployment conditions and applies your triage rules. It maintains the applicability register and prepares vendor-supported remediation work items. Uncertain matches arrive with a specific evidence request.
Completed result
An updated asset-specific triage register, prioritized action candidates and a focused exception queue.
When your team steps inMissing asset facts, contested decisions, remediation authorization and risk acceptance. Completing triage does not patch or isolate a device.
KPIs to improve
Triage lead time
Reduce time from an advisory import to an accepted asset-specific decision.
Human triage effort
Reduce analyst hours per 100 accepted decisions, including exceptions.
Untriaged backlog
Reduce the number and age of asset-advisory pairs awaiting a decision.
Missed affected assets
Reduce affected assets incorrectly excluded from the triage register.
MES integration mapping
For integration and manufacturing IT operations
Build and validate the machine-to-MES mapping.
Give the agent the machine evidence and target interface. It interprets tags, quantities, units and order boundaries, builds the mapping artifact and tests it against recorded production events. It corrects failed mappings and delivers the validated package for your release process.
Completed result
A versioned mapping artifact with event and reset rules, test fixtures and recorded validation results, ready for the agreed release process.
When your team steps inBusiness meaning that the available evidence cannot resolve, missing inputs and production activation. Required unresolved fields remain blocked.
KPIs to improve
Mapping delivery lead time
Reduce time from complete inputs to an accepted, validated mapping package.
Mapping engineering effort
Reduce engineering hours per accepted mapping, including validation and rework.
Semantic mapping errors
Reduce incorrect tag meanings, units, counters and event boundaries.
Production data corrections
Reduce corrections caused by mapping errors after deployment.
Standards evidence assessment
For product assurance and security operations
Keep the assessment evidence assembled and current.
The agent gathers release evidence, maps it to the agreed requirements and checks versions, scope and contradictions. As documents change, it updates the assessment package, removes obsolete support claims and maintains the gap register. Your team receives a current package and specific requests for missing evidence.
Completed result
A current requirement-to-evidence matrix, release evidence package, gap register and revision history.
When your team steps inSupplying missing records, resolving disputed interpretations and making formal conformity or certification decisions.
KPIs to improve
Evidence refresh lead time
Reduce time from an evidence change to an updated assessment package.
Human evidence preparation effort
Reduce hours spent assembling, checking and maintaining accepted evidence packages.
Current supported requirement coverage
Increase the share of agreed requirements backed by current, sufficient evidence.
False support claims and missed gaps
Reduce unsupported conclusions and evidence gaps missed by the assessment.
Assign the work. Receive the result.
Define the task, connect the permitted evidence and set the acceptance rules. The agent takes incoming work through analysis, checks, correction and delivery. It keeps results current as the evidence changes.
Routine cases finish without an employee carrying out each step. Your team handles exceptions, quality audits and decisions outside the agent’s remit. The goal is to remove the need for people to execute this routine workload and reduce the human hours needed to deliver it.
Run locally, with control over your data, models, access and updates. Live industrial changes follow your authorized operating process.
Agree the workload and completion criteria, then compare accepted results with your current process.
Human effort
Count preparation, exceptions, audits, corrections and fallback work alongside the hours the agent takes over.
Completion and quality
Track accepted jobs against all eligible work, including blocked cases and failures. Record errors and reopened cases with turnaround time.
Operating value
Measure changes in downtime, rework or release delay separately. Value released capacity and realized cost savings separately, after deployment and operating costs.
Which workload should your agent take over first?
Bring us a recurring task, the evidence it uses and the people-hours it takes today. We’ll define what your agent should complete, when your team should step in and how to measure the work removed.