Compare
Sympl CMMS vs. UpKeep
See how Sympl CMMS compares to UpKeep on asset modeling, platform depth, standards, and AI control.
Feature by feature
Multi-level asset hierarchy
Spatial assets — places as a first-class type
Sites, buildings, floors, rooms, lines, wet wells modeled as assets with their own work orders, PMs, and history — not just a location label on a piece of equipment.
Physical assets — equipment with full lifecycle
Make, model, serial, and in-service → in-repair → decommissioned lifecycle on every piece of equipment.
Type-aware field sets (spatial vs. physical)
Spatial assets hide make/model/serial automatically; equipment shows them. Less form noise, cleaner exports.
Service graph — functional "serves" dependencies
Beyond parent-child containment: model how assets serve each other — a chiller serves these rooms, a generator backs up this fire pump — and query flow, not just structure.
Outage / downstream-impact preview
Before you put an asset in-repair, see every space and asset it serves — no "why didn’t anyone tell me the chiller was down" surprises.
Criticality inheritance through the graph
An asset serving an OR inherits the OR’s criticality and response SLAs automatically — no stale "this is critical because it serves…" spreadsheet.
Position history / in-line asset swapping
Every unit ever mounted at a position is logged, so you can answer "pump problem or position problem?" — position-level reliability, not just per-serial.
Floor plans with live work-order / status overlays
Pin assets to a floor plan; open-WO badges, criticality coloring, and WO-density heatmaps render directly on the plan. Click the plan to navigate.
ISO 14224 failure taxonomy, seeded
Pre-built failure code libraries per asset type — not freetext or codes you have to invent yourself.
ISO 55000 asset-management alignment
Free CSV export of all data, every plan
Full export of assets, work orders, PMs, parts, meter readings, and audit log — no plan gate, no vendor permission.
Turn AI fully off
A genuine off switch — zero AI processing of your maintenance data — for regulated or AI-skeptical teams.
Bring your own AI provider (your API key)
Run AI through your own provider and key. We don’t mark up or store credentials.
MCP server for AI tool integration
A native Model Context Protocol server, scoped to each user’s permissions, so external AI assistants can query — and act on — your CMMS within that user’s access.
Full REST API on every tier
Every UI action has a documented API equivalent — not gated behind the top plan.
Per-user API keys (scoped to the user’s permissions)
Each user mints their own key that inherits exactly their role and site scope — no shared org-wide token.
Scoped service-account keys
Dedicated machine identities with keys restricted to specific permissions and sites, not full-account access.
Module catalog (Capital Planning, Compliance, Workforce, Safety)
Workflow / automation engine (multi-condition)
Native mobile app (iOS + Android, offline)
Transparent, self-serve pricing
Time to first work order
Configure without IT or a specialist
Where we win
A deeper asset model — spatial, service graph, floor plans
UpKeep models locations as hierarchy nodes and assets as a four-level tree. We add spatial assets as a first-class type, a service graph for functional dependencies, outage-impact preview, criticality inheritance, and floor plans with live work-order and status overlays.
Standards the product enforces, not just the vendor team
We build ISO 14224 failure codes and ISO 55000 alignment directly into the data model. You get standards enforcement regardless of who is on your vendor's team.
Platform extensibility — API on every tier, modules, MCP
UpKeep gates its public API behind the Enterprise plan and has no MCP server or module catalog for Compliance, Capital Planning, or Workforce. We ship a full REST API on every tier, a module catalog, and a native MCP server.
AI controls for regulated industries
UpKeep's AI features can't be self-disabled and there's no bring-your-own-provider. We offer off, managed, or BYO provider — for teams with compliance constraints on AI processing, that toggle matters.
How to choose
Choose Sympl CMMS if…
Teams that need a deeper asset model, platform extensibility (API on every tier, modules, MCP), standards baked into the data model, or full AI control.
Bottom line
Sympl CMMS bets on a deeper asset model, standards, and platform depth that compound over time — built into the product, not the org chart.
Other comparisons
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