Deepfine

Deepfine is a Seoul‑based industrial AI platform company founded in 2019. It develops spatial‑intelligence solutions such as LOGI.FINE, DAO, and DSC, leveraging computer vision, large‑language models, and edge computing to enable digital transformation of factories and logistics. The firm has raised multiple Series A/B rounds, received government awards, and partners with major Korean enterprises to deliver AR‑enabled workflow tools.

Deepfine is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Spatial Intelligence, Industrial, and South Korea.

Deepfine’s developer surface includes engineering blog and 5 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

4.0/100 minimal Agent 0/100 human only Full breakdown ↓
scored 2026-10-23 · rubric v0.25.0 · Show this score on your site →

0 APIs

Company Artificial Intelligence Spatial Intelligence Industrial South Korea Series A

Kin Score

Kin Score How this is scored →
scored 2026-10-23 · rubric v0.25.0

Composite quality — 4.0/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.4 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.3 / 9

Regulatory Posture 0.8 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

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

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

Regulatory Posture applies to this provider. Its tags matched the Horizontal (data, software, accessibility, platform) regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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<a href="https://apis.io/providers/deepfine/"><img src="https://apis.io/badge/deepfine/card.svg" alt="Deepfine on APIs.io — Kin Score by API Evangelist"></a>

Other styles, a README pill and a shields.io endpoint are on the badge page.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/deepfine: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Deepfine Domain Security

TLSv1.3

SECURITY

Resources

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 3

The organization behind the API

Newsroom

Newsroom

Blog

Blog

Website

Website

Other 1

Properties that don't map to a standard resource type

Hosts

Hosts

Source (apis.yml)

aid: deepfine
name: Deepfine
image: https://www.deepfine.com/static/img/thumb/deepfine_ci.png
description: Deepfine is a Seoul‑based industrial AI platform company founded in 2019. It develops spatial‑intelligence solutions
  such as LOGI.FINE, DAO, and DSC, leveraging computer vision, large‑language models, and edge computing to enable digital
  transformation of factories and logistics. The firm has raised multiple Series A/B rounds, received government awards, and
  partners with major Korean enterprises to deliver AR‑enabled workflow tools.
url: https://raw.githubusercontent.com/api-evangelist/deepfine/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-22 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-22'
modified: '2026-10-22'
tags:
- Company
- Artificial Intelligence
- Spatial Intelligence
- Industrial
- South Korea
- Series A
tags_raw:
- Company
- AI
- Spatial-Intelligence
- Industrial
- South-Korea
- Series-A
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: LLMsTxt
  url: llms/deepfine-llms.txt
- type: Hosts
  url: hosts/deepfine-hosts.yml
- type: Newsroom
  url: https://www.deepfine.com/news/news
- type: Blog
  url: https://blog.deepfine.com/
- type: DomainSecurity
  url: security/deepfine-domain-security.yml
- type: Website
  url: https://www.deepfine.com
apis: []
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: Documentation page returns generic Tomcat HTML with no API spec.
  evidence:
  - url: https://www.deepfine.com/docs/
    status: 200
  checked: '2026-10-22'
x-enrichment:
  date: '2026-10-22'
  status: enriched
  artifacts_added: 8
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

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