Telekinesis.ai

Telekinesis is a Physical AI company building a unified Python SDK and large-scale "skill library" for industrial robotics and computer vision. Its composable skills span perception (2D/3D detection, segmentation, 6D pose estimation, point clouds), planning, control, reinforcement learning, and Vision-Language-Model agents that orchestrate complete robotics systems. Developers install the official telekinesis-ai SDK from PyPI, authenticate with an API key from platform.telekinesis.ai, and run skills either cloud-hosted or on-premise. The stack includes BabyROS (a lightweight ROS-style pub/sub middleware on Zenoh), a Data Engine for synthetic dataset generation, and NVIDIA Isaac Sim integration for simulation-to-real transfer. Telekinesis targets high-mix manufacturing use cases such as assembly, machine tending, bin picking, CNC loading, and inspection, and is a Techstars portfolio company.

Telekinesis.ai is profiled on the APIs.io network. Tagged areas include Company, Robotics, Computer Vision, Physical AI, and Industrial Automation.

Telekinesis.ai’s developer surface includes documentation, API reference, getting-started guide, signup flow, support, authentication, and 9 more developer resources.

🌐 Visit website 📡 Source on GitHub

25.6/100 emerging ▬ flat Agent 10/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

AccessSelf serve

0 APIs

CompanyRoboticsComputer VisionPhysical AIIndustrial AutomationManufacturing Automation6D Pose EstimationMotion PlanningReinforcement LearningPython SDKEmbodied IntelligenceAgents

Kin Score

Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5

Composite quality — 25.6/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 11.3 / 20

Commercial Clarity 6.8 / 20

Operational Transparency 0.7 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 10/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/telekinesisai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 2

Reference material describing how the API behaves

Documentation

Documentation

APIReference

APIReference

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Build 3

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Packages

Packages

SDKs

SDKs

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Authentication

Authentication

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: telekinesisai
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/telekinesisai.png
name: Telekinesis.ai
description: Telekinesis is a Physical AI company building a unified Python SDK and large-scale "skill library" for industrial
  robotics and computer vision. Its composable skills span perception (2D/3D detection, segmentation, 6D pose estimation,
  point clouds), planning, control, reinforcement learning, and Vision-Language-Model agents that orchestrate complete robotics
  systems. Developers install the official telekinesis-ai SDK from PyPI, authenticate with an API key from platform.telekinesis.ai,
  and run skills either cloud-hosted or on-premise. The stack includes BabyROS (a lightweight ROS-style pub/sub middleware
  on Zenoh), a Data Engine for synthetic dataset generation, and NVIDIA Isaac Sim integration for simulation-to-real transfer.
  Telekinesis targets high-mix manufacturing use cases such as assembly, machine tending, bin picking, CNC loading, and inspection,
  and is a Techstars portfolio company.
url: https://raw.githubusercontent.com/api-evangelist/telekinesisai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 5
  pass: local-v1
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
tags:
- Company
- Robotics
- Computer Vision
- Physical AI
- Industrial Automation
- Manufacturing Automation
- 6D Pose Estimation
- Motion Planning
- Reinforcement Learning
- Python SDK
- Embodied Intelligence
- Agents
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/telekinesisai-domain-security.yml
- type: Website
  url: https://telekinesis.ai/
- type: DeveloperPortal
  url: https://platform.telekinesis.ai/
- type: Documentation
  url: https://docs.telekinesis.ai/
- type: APIReference
  url: https://docs.telekinesis.ai/skills/overview.html
- type: GettingStarted
  url: https://docs.telekinesis.ai/getting-started/quickstart
- type: SignUp
  url: https://platform.telekinesis.ai/api-keys
- type: GitHubOrganization
  url: https://github.com/telekinesis-ai
- type: Support
  url: https://telekinesis.ai/contact/
- type: TermsOfService
  url: https://docs.telekinesis.ai/legal/terms.html
- type: PrivacyPolicy
  url: https://docs.telekinesis.ai/legal/privacy.html
- type: Packages
  url: packages/telekinesisai-packages.yml
- type: SDKs
  url: packages/telekinesisai-packages.yml
- type: Authentication
  url: authentication/telekinesisai-authentication.yml
- type: LLMsTxt
  url: llms/telekinesisai-llms.txt