Manufacturing & Industrial
Predictive maintenance first.
Then the rest of the floor, on one foundation.
Start with predictive maintenance that runs on the data you already have. Add execution, operations, and traceability on the same foundation when you're ready.
Agentic AI
Predict, then act.
Your team is buried. Agentic AI takes the legwork off their plate. It investigates, drafts the fix, and hands it to you to approve. Explainable, and always with a human in the loop.
Agents that investigate.
When an alert fires, the agent pulls the asset’s history, recent changes, and similar past failures. Your engineer opens a case that has already been worked, not a blank one.
Agents that draft the action.
A work order with the evidence attached and a recommended window. A supplier-risk brief with alternate sources. A re-optimized schedule with the tradeoffs spelled out. Ready for your approval, not your data entry.
Agents you can trust and govern.
Every agent shows its reasoning and waits for a human’s yes. You set what each one is allowed to do. No autonomous black boxes on your floor.
How the agents work
Is the AI making decisions on its own?
No. Aelix agents do the investigation and the drafting. A human approves every action that affects your plant. You set the guardrails for what each agent can and cannot do.
How is this different from a black-box autopilot?
Every agent shows its full reasoning and the steps it took. Nothing is hidden. You can audit any action, and you can dial an agent’s autonomy up or down. We built agents the way we built our alerts: explainable first.
Where do teams start?
Most teams start with the Maintenance Agent on Aelix IQ, then add the Production and Supplier-Risk agents as they expand onto Forge and Ops. Talk to our team to scope the first one.
Four products, one plant data foundation
Four products that read from one data backbone.
Everything you need to transform your manufacturing operations, unified in one intelligent ecosystem. Four products that share data, security, and one command surface, from the asset on the line to the executive view.
Start here
Aelix IQ
Predictive maintenance, no sensors
Predict equipment failures using the telemetry you already have, PLC, SCADA, historian. Explainable alerts your engineers own, with the recommended fix attached. No sensors, no install.
- Software-only, no new sensors required
- Explainable rules your engineers own
- The fix, scheduled into the next maintenance window
Agentic AI: the Maintenance Agent investigates the alert, drafts the work order with the evidence, and schedules it on your approval.
Add when you are ready
Aelix Forge
AI-scheduling-first MES
An AI-scheduling-first MES for the regulated medical-device floor: a real scheduling solver, a live 3D control room, and eDHR workflows. Designed to support 21 CFR Part 11 and your CSA-based validation.
Agentic AI: the Production Agent re-runs the schedule when a line goes down or a hot order lands, and proposes the re-plan with the tradeoffs for your sign-off.
Aelix Ops
Supplier risk, right-sized
Enterprise-grade supplier risk for the mid-market: single-source and concentration flags, audit-ready supplier records, sized for mid-market teams.
Agentic AI: the Supplier-Risk Agent investigates a risk signal, maps your exposure, and drafts a mitigation brief with alternate sources, alerting procurement while there is time to act.
The foundation
Aelix Link, the shared backbone every Aelix product reads from.
Cloud-native, multi-tenant SCADA with end-to-end genealogy and recall, for manufacturers running more than one plant. The shared data backbone the rest of the Aelix suite reads from. Connect once, run everything on the same data.
Agentic AI: the foundation agents run across every site, with one place to govern what they can do and end-to-end traceability of every action they take.
See how Link fits your stackIndustry solutions
Built for how you actually run.
Three ways teams actually deploy Aelix today, with the same foundation under each.
Discrete & mid-market manufacturing
Turn the data you already collect into fewer unplanned stops, without a sensor project.
Medical device & CDMO
A scheduling-first MES with validation built for risk-based assurance (CSA), not a year-long CSV wall.
Multi-site & multi-plant operators
One cloud, one login, one traceability spine across every facility.
Advanced technology
Explainable AI on one unified plant data layer.
Enterprise-grade technologies that power intelligent manufacturing at scale.
Explainable agentic AI
Agents show their reasoning and every step they took, and they wait for a human’s approval before anything touches your plant. You govern what each agent is allowed to do.
Digital twins
Virtual replicas of physical assets.
Computer vision (where appropriate)
Available for vision-led quality use cases. IQ predictive maintenance does not require cameras or new sensors.
Universal data lakes
Unified data infrastructure across PLC, SCADA, historian, and ERP.
Enterprise security
Enterprise security for the shop floor.
Your operational data is your most valuable asset. Aelix Echo employs end-to-end encryption, and zero-trust network architecture. SOC 2-aligned controls. SOC 2 Type II and ISO 27001 audits planned.
End-to-end encryption
AES-256 encryption for data at rest and in transit.
Zero-trust architecture
Continuous verification of every user, device, and service.
Role-based access and audit trails
Scoped permissions per site and role, with every action logged for review.
What it changes
What it changes on the floor.
Reduce unplanned downtime
Catch degradation before the line stops.
Make the schedule a computed answer
Throughput, OTD, and OEE optimized, not hand-juggled.
Walk into the audit ready
Audit-ready supplier and production records, not a five-day scramble.
Connect once, expand without re-integrating
Add the next capability on the same foundation.
Start your transformation
Begin with one product. One measurable win.
Expand on the same foundation when you are ready. Most teams start with Aelix IQ for predictive maintenance on their existing data, then add Forge, Ops, and Link.