FoundryNet / OEMs / Okuma

CNC / MACHINE TOOL · CANONICAL DATA MODEL

Okuma canonical data model: connect your Okuma equipment to any AI agent

2,461 confirmed mappings·12 protocols·99% field coverage

Forge turns raw Okuma tags into one clean, governed schema your AI agent already understands. One MCP call, no per-machine integration project.

Try it free: 3 machines, no credit card → See it work →

Paste your Okuma data and see it normalized in 30 seconds. No POC required.

Read-only. Forge reads your Okuma data through standard industrial protocols. Read-only. Your equipment is never at risk.


The problem

Why Okuma data is hard to integrate

Okuma's THINC-API is powerful but proprietary: SpindleRPM, SpLoadPct and MainPrg are exposed as THINC objects that each app has to translate before an agent can use them.

Typical Okuma equipment communicates over MTConnect, OPC UA. Each firmware revision, model line and integrator names the same physical quantity differently, so every AI or analytics project pays the integration tax again, the tax that cancels 40% of industrial AI deployments before they ship.


The solution

One universal schema for every Okuma machine

Forge resolves Okuma telemetry into Forge's canonical field set, the same 1,027-field canonical schema (366 resolvable from vendor tags today), used across all 47 vendor packs. Point Forge at the machine, pass oem: "okuma", and spindle speed is spindle_speed_rpm whether it came from a Okuma controller or anything else on the floor.

MTConnectOPC UA
99%Field coverage
17Canonical CNC / machine tool fields
3,444Corpus mappings

Field coverage

What Forge resolves for Okuma

Confirmed canonical fields your agent gets from Okuma machines, drawn from Forge's 3,444-mapping corpus:

spindle_speed_rpmspindle_load_pctspindle_current_ampsaxes.0.position_actualaxes.0.load_percentaxes.0.temperature_cfeed_ratecnc.path.feedrateprogram_nameprogram_numberpart_counttool_id

Sample normalization

Raw tag inCanonical field outMeaning
SpindleRPM: 4500→spindle_speed_rpm: 4500THINC spindle rpm
SpLoadPct: 66→spindle_load_pct: 66spindle load
MainPrg: "OKU_45.MIN"→program_name: "OKU_45.MIN"main program
PartsMachined: 1780→part_count: 1780parts machined

30-second deployment

Add Okuma to your agent with one call

No SDK, no per-tag mapping, no historian project. Connect the MCP server and normalize live Okuma data:

claude mcp add --transport http forge https://mcp.foundrynet.io/mcp --header 'Authorization: Bearer YOUR_API_KEY'
# normalize raw Okuma telemetry into the universal schema
curl -s https://forge.foundrynet.io/v1/normalize \
  -H 'Content-Type: application/json' \
  -d '{"data": {"SpindleRPM": 4500, "SpLoadPct": 66, "MainPrg": "OKU_45.MIN"}, "oem": "okuma"}'
{"spindle_speed_rpm": 4500, "spindle_load_pct": 66, "program_name": "OKU_45.MIN", "coverage": "100%", "confidence": 0.97}

Unknown tags never get force-mapped. Fields below the confidence floor abstain rather than guess, so your agent never acts on a bad reading.

Start free: Forge API, 3 machines → See the full demo →

Related

Where Okuma fits

Protocols
MTConnect OPC UA

Vertical
CNC / machine tool

Other CNC / machine tool vendors
DMG Mori Fanuc Haas Heidenhain Mazak Siemens Sinumerik

Same protocols, other industries
Yaskawa Motoman ABB Robotics KUKA Universal Robots

Also searched as okuma, thinc, osp


Okuma in the canonical schema

For platforms Want this normalization inside your platform? License the engine and ship cross-vendor support as your own feature. 1,027-field canonical schema, 366 resolvable from vendor tags today, 2,461 mappings, your brand. Platform licensing →
Why does a cross-vendor canonical data model matter? The Machine Agent breaks it down weekly. Read it →
Get the thesis behind this infrastructure: The Machine Agent, weekly.