Vake

VAKE is a Norwegian maritime domain awareness company that detects, identifies, and tracks "dark vessels" from space. The VAKE platform fuses satellite imagery, AIS signals, and machine learning to reveal hidden vessel activity at sea for governments and industry. Its three products are Pathfinder, which reconstructs a vessel's past, present, and predicted movements and searches satellite imagery for vessels that go AIS-dark; Overwatch, which monitors an Area of Interest around ports, critical infrastructure, and economic zones to surface unreported activity such as illegal fishing, transshipments, and spoofing; and Clearview, a machine-learning service that identifies dark-vessel observations in multispectral satellite imagery against a global vessel-signature database spanning 2016 to today. The platform is delivered as a web application (studio.vake.ai) backed by a private API (api.nemme.io); onboarding is sales-led rather than self-serve.

Vake is profiled on the APIs.io network. Tagged areas include Company, Maritime, Maritime Domain Awareness, Satellite Imagery, and Vessel Tracking.

Vake’s developer surface includes documentation, getting-started guide, support, and 5 more developer resources.

🌐 Visit website 📡 Source on GitHub

14.2/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyMaritimeMaritime Domain AwarenessSatellite ImageryVessel TrackingAISGeospatialMachine LearningDark VesselsDefenseSituational Awareness

Kin Score

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

Composite quality — 14.2/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 4.8 / 20

Commercial Clarity 2.6 / 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

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/vake: 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 2

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Company 2

The organization behind the API

Website

Website

LinkedIn

Source (apis.yml)

aid: vake
name: Vake
description: VAKE is a Norwegian maritime domain awareness company that detects, identifies, and tracks "dark vessels" from
  space. The VAKE platform fuses satellite imagery, AIS signals, and machine learning to reveal hidden vessel activity at
  sea for governments and industry. Its three products are Pathfinder, which reconstructs a vessel's past, present, and predicted
  movements and searches satellite imagery for vessels that go AIS-dark; Overwatch, which monitors an Area of Interest around
  ports, critical infrastructure, and economic zones to surface unreported activity such as illegal fishing, transshipments,
  and spoofing; and Clearview, a machine-learning service that identifies dark-vessel observations in multispectral satellite
  imagery against a global vessel-signature database spanning 2016 to today. The platform is delivered as a web application
  (studio.vake.ai) backed by a private API (api.nemme.io); onboarding is sales-led rather than self-serve.
url: https://raw.githubusercontent.com/api-evangelist/vake/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-21'
image: https://docs.vake.ai/img/vake_boxed_logo.jpg
tags:
- Company
- Maritime
- Maritime Domain Awareness
- Satellite Imagery
- Vessel Tracking
- AIS
- Geospatial
- Machine Learning
- Dark Vessels
- Defense
- Situational Awareness
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/vake-domain-security.yml
- type: Website
  url: https://vake.ai/
- type: Documentation
  url: https://docs.vake.ai/
- type: GettingStarted
  url: https://docs.vake.ai/Getting%20started/start-guide
- type: Login
  url: https://studio.vake.ai/
- type: Support
  url: https://docs.vake.ai/The%20Home%20Page/Support%20and%20Feedback
- type: LinkedIn
  url: https://www.linkedin.com/company/vake-ai/
- type: LLMsTxt
  url: llms/vake-llms.txt
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 2
  pass: local-v1