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Curious Ai

The Curious AI Company was a Helsinki, Finland-based artificial intelligence research company founded in 2015 by Harri Valpola (previously founder of ZenRobotics) along with Antti Rasmus, Mathias Berglund, Tapani Raiko, and Timo Haanpaa. The company pursued artificial general intelligence, real-world computer vision for robots, and interactive, autonomous, and semi-supervised machine learning, and is best known for foundational research on Ladder Networks for semi-supervised deep learning. It raised roughly 4.7M USD from investors including DCVC, Lifeline Ventures, and Invus, and was acquired by Apple in January 2021. The company no longer operates as an independent entity and publishes no public developer platform, API, documentation, or SDKs. This record is retained as a DCVC portfolio identity profile; there is no active API surface to enrich.

human only

Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.

Kin Score

Curious Ai is tracked in the API Evangelist network. This page is the human-readable profile that sits on top of the machine-readable index we maintain at apis.io.

Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Curious Ai scores 6.8/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 6.8/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.0 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 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

Curious Ai is in the network as a tracked entity. We haven't yet indexed a public API surface for it — when one is published, the artifacts, score, and agent-readiness read will appear here automatically. The source repository is where that profile is built.

← All providers · Data indexed from github.com/api-evangelist/curious-ai · machine-readable index on apis.io