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KUBIKOS

Sensor chips that retrofit analogue gym machines and fitness mats with digital weight tracking, feeding an app and a management cloud.

Actively maintained

KUBIKOS: data, price, alternatives
At a glancechecked Oct 29, 2026

not read yet

Use

For
Fitness studio operators and equipment makers digitising analogue cable-pulley gym machines.
Activity
Actively maintainedsite updated 4 days ago
Used for
  • Retrofit sensors into existing cable-pulley gym machines
  • Record force and position for every repetition
  • Track members' training progress in a companion app
Worth knowingcomputed from what we read · each with its source
  • On the web since 2021, older than 83% of its shelfINITE Atlas
  • Has an MCP server (1 in the registry)public registry →
How a program reaches itfound, not claimed · read Oct 29, 2026
  • MCP servernet.kubikos/kubikosverified in the MCP registry
  • Stateanswers, requires sign-inchecked 2026-10-29
  • Address to connectmcp.kubikos.net/mcp

MCP server details →

This card as JSON, for your agent →

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.

Alternatives in Healthby use, among tools still maintained

Figure and bar: visits/mo, estimate · year: online since

Compare KUBIKOS with

Pick up to two.

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beta

Three tools from the Atlas for the job you describe, each with what fits and what does not.

From people who use itnot part of the reading

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Questions this page answers
  • What is KUBIKOS?

    Sensor chips that retrofit analogue gym machines and fitness mats with digital weight tracking, feeding an app and a management cloud. It is listed in the Atlas under Health.

  • Who is KUBIKOS for?

    Fitness studio operators and equipment makers digitising analogue cable-pulley gym machines.

  • Is KUBIKOS still maintained?

    Actively maintained: site updated 4 days ago.

  • What are alternatives to KUBIKOS?

    In Health, by use: AI DiagMe, Identify Skin, Shotlee, Root Data, Moveat.

How we read a tool

No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.

  • Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
  • Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
  • Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
  • The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.

How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.

How we read every tool → · By INITE Atlas Desk