Aspinity website screenshot

Aspinity

Aspinity is a Pittsburgh, Pennsylvania semiconductor company that develops analog machine learning (AnalogML) technology combining ultra-low-power analog signal processing with machine learning for always-on, battery-operated edge AI event detection and classification. Its analogML processors the AML100 and next-generation AML200 deliver TOPS-level inference in a microwatt power footprint, targeting automotive vehicle-security monitoring, smart-home sensing such as glass-break and water-leak detection, and IoT applications including voice and keyword detection and vibration monitoring. Aspinity is a hardware and semiconductor provider and does not currently publish a public developer API, SDK, or developer portal; this profile tracks its public web and security posture in the API Evangelist network.

Aspinity is profiled on the APIs.io network. Tagged areas include Company, Semiconductors, Machine Learning, Edge AI, and IoT.

Aspinity’s developer surface includes engineering blog and 3 more developer resources.

🌐 Visit website 📡 Source on GitHub
7.2/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanySemiconductorsMachine LearningEdge AIIoTAnalog ComputingHardware

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-27 · rubric v0.5
Composite quality — 7.2/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.4 / 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
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/aspinity: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

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

Aspinity Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 3

The organization behind the API

Website
Website
 Blog
Blog
 LinkedIn
LinkedIn

Source (apis.yml)

apis.yml Raw ↑ 
aid: aspinity
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/aspinity.png
name: Aspinity
description: Aspinity is a Pittsburgh, Pennsylvania semiconductor company that develops analog machine learning (AnalogML)
  technology combining ultra-low-power analog signal processing with machine learning for always-on, battery-operated edge
  AI event detection and classification. Its analogML processors the AML100 and next-generation AML200 deliver TOPS-level
  inference in a microwatt power footprint, targeting automotive vehicle-security monitoring, smart-home sensing such as glass-break
  and water-leak detection, and IoT applications including voice and keyword detection and vibration monitoring. Aspinity
  is a hardware and semiconductor provider and does not currently publish a public developer API, SDK, or developer portal;
  this profile tracks its public web and security posture in the API Evangelist network.
url: https://raw.githubusercontent.com/api-evangelist/aspinity/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Semiconductors
- Machine Learning
- Edge AI
- IoT
- Analog Computing
- Hardware
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis: []
common:
- type: Website
  url: https://aspinity.com/
- type: Blog
  url: https://www.aspinity.com/blog/
- type: LinkedIn
  url: https://www.linkedin.com/company/aspinity
- type: DomainSecurity
  url: security/aspinity-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence