Uptime.AI helps operators, technicians, engineers, and managers resolve faults, follow procedures, train employees, and escalate support — using your approved manuals, SOPs, machine data, and history.
Translate fault codes and symptoms into corrective actions, parameter checks, safe recovery steps, and exact manual citations — calibrated to who is asking.
Learn MoreWalk users through startup, changeover, LOTO, cold start, PM, and recovery workflows — step by step, enforced in sequence, adapted to role and experience.
Learn MoreMine conversations, faults, and historian data for repeat issues, support demand, parts opportunities, and training gaps across machines and sites.
Learn MoreHelp new employees learn the machine through interactive, role-appropriate explanations — replacing the PDF stack and reducing time-to-competency.
Learn MoreRole-based access, audit trails, approved-document enforcement, refusal rules, and escalation paths — audit-ready transcripts on every session.
Learn MorePackage the user's question, machine state, alarm, manual citations, and attempted steps before routing to support — automatically, with full context.
Learn MoreFloor level — plain language, safety first.
Full diagnostic depth across manuals.
Detail, versions, and configuration.
Dashboards and outcomes — no chat needed.
Built for the machine floor.
General-purpose, general answers.
Select the machine, user roles, manuals, common fault codes, and procedures that matter most on your floor.
Start HereLoad up to 20 manuals, SOPs, drawings, alarm catalogs, and escalation rules. OCR fallback handles scanned documents.
Start HereAdd optional PLC, historian, SCADA, CMMS, or email integrations as needed via OPC UA, MQTT, REST, or SQL.
Start HereTrack MTTR reduction, first-contact resolution rate, support call deflection, onboarding time, and compliance readiness.
Yes. Uptime.AI is designed to connect around existing equipment through standard OT and IT interfaces — OPC UA, MQTT, REST, SQL, Modbus — rather than forcing a controls replacement.
You own everything. Manuals, queries, and transcripts live in your own AWS, cloud, or on-premises accounts. There is no cross-customer model training. AWS Bedrock contractually guarantees Anthropic does not train on your data.
Yes. Depending on the AI model and customer IT requirements, the architecture can be edge, VM, cloud, hybrid, or restricted-network. Air-gapped options are available.
A good pilot has known manuals, frequent fault codes or procedures, clear user roles, and measurable outcomes — MTTR reduction, support call deflection, onboarding time, or compliance visibility. One machine, focused scope, 4 weeks.
Monthly cloud and AI operating costs run approximately $55–$220/month for a typical single-plant deployment (20 users, ~500 sessions/month). You own the code outright — no ongoing license fee or vendor lock-in.
It can be deployed as advisory-only, approval-gated, or integrated with workflows. For most pilots, the safest starting point is advisory guidance with citations.
Works on any machine brand or PLC · Live in 4 weeks — Phase 1 MVP at $6,460 fixed fee · You own 100% of code, data, and infrastructure · No cross-customer model training on your data