GLASS website screenshot

GLASS

Glass Imaging (GlassAI) is a Los Altos, California AI imaging company that extracts the full image-quality potential from camera hardware by using neural networks to reverse lens aberrations and sensor imperfections. Its GlassAI Neural ISP is a software image-signal-processing pipeline that boosts camera performance up to 10x on edge AI-enabled devices such as smartphones, and its co-designed AI-plus-optics approach delivers DSLR-quality imaging from size-constrained camera systems. The company is venture-backed by GV, LDV Capital, Future Ventures, Abstract Ventures, Ground Up, and Insight Partners. Glass Imaging is an on-device computer-vision technology provider and does not currently publish a public developer API, SDK, or documentation surface.

GLASS is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Computer Vision, Image Processing, and Neural ISP.

GLASS’s developer surface includes engineering blog and 1 more developer resources.

7.2/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyArtificial IntelligenceComputer VisionImage ProcessingNeural ISPCameraSmartphoneEdge AI

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/glass: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Resources

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: glass
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/glass.png
name: GLASS
description: Glass Imaging (GlassAI) is a Los Altos, California AI imaging company that extracts the full image-quality potential
  from camera hardware by using neural networks to reverse lens aberrations and sensor imperfections. Its GlassAI Neural ISP
  is a software image-signal-processing pipeline that boosts camera performance up to 10x on edge AI-enabled devices such
  as smartphones, and its co-designed AI-plus-optics approach delivers DSLR-quality imaging from size-constrained camera systems.
  The company is venture-backed by GV, LDV Capital, Future Ventures, Abstract Ventures, Ground Up, and Insight Partners. Glass
  Imaging is an on-device computer-vision technology provider and does not currently publish a public developer API, SDK,
  or documentation surface.
url: https://raw.githubusercontent.com/api-evangelist/glass/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- insight-partners
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Artificial Intelligence
- Computer Vision
- Image Processing
- Neural ISP
- Camera
- Smartphone
- Edge AI
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.glass-imaging.com/
- type: Blog
  url: https://www.glass-imaging.com/journal
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence