Focal Systems

Focal Systems is a San Francisco-based deep-learning company building the operating system for brick-and-mortar retail. Its platform combines proprietary shelf-mounted computer-vision cameras, real-time AI, and streaming data to digitize physical stores hourly — tracking on-shelf availability, out-of-stocks, planogram and price-tag compliance, shrink, and inventory. Products include Computer Vision cameras, Shelf AI, the Action Tool associate mobile app, and the Impact analytics dashboard, used by leading grocery and retail chains such as Walmart Canada to reduce waste, redeploy labor, and recover lost sales. Focal Systems is a Y Combinator and Uncork Capital-backed company and operates as an enterprise SaaS vendor; it does not publish a public self-serve developer API or SDK.

Focal Systems is profiled on the APIs.io network. Tagged areas include Company, Retail, Computer Vision, Artificial Intelligence, and Deep Learning.

Focal Systems’ developer surface includes engineering blog, support, and 6 more developer resources.

🌐 Visit website 📡 Source on GitHub

13.0/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5

0 APIs

CompanyRetailComputer VisionArtificial IntelligenceDeep LearningRetail AutomationInventory ManagementOn-Shelf AvailabilityGrocery

Kin Score

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

Composite quality — 13.0/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 1.3 / 20

Commercial Clarity 4.2 / 20

Operational Transparency 0.7 / 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/focal-systems: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization

GitHubOrganization

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

Support

Support

Commercial 2

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 3

The organization behind the API

Website

Website

About

About

Blog

Blog

Source (apis.yml)

aid: focal-systems
name: Focal Systems
description: Focal Systems is a San Francisco-based deep-learning company building the operating system for brick-and-mortar
  retail. Its platform combines proprietary shelf-mounted computer-vision cameras, real-time AI, and streaming data to digitize
  physical stores hourly — tracking on-shelf availability, out-of-stocks, planogram and price-tag compliance, shrink, and
  inventory. Products include Computer Vision cameras, Shelf AI, the Action Tool associate mobile app, and the Impact analytics
  dashboard, used by leading grocery and retail chains such as Walmart Canada to reduce waste, redeploy labor, and recover
  lost sales. Focal Systems is a Y Combinator and Uncork Capital-backed company and operates as an enterprise SaaS vendor;
  it does not publish a public self-serve developer API or SDK.
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://focal.systems/wp-content/uploads/2026/06/In-Store-Technology-of-the-Year.png
url: https://raw.githubusercontent.com/api-evangelist/focal-systems/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- uncork-capital
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Retail
- Computer Vision
- Artificial Intelligence
- Deep Learning
- Retail Automation
- Inventory Management
- On-Shelf Availability
- Grocery
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://focal.systems
- type: About
  url: https://focal.systems/about-focal/
- type: Blog
  url: https://focal.systems/news/
- type: Support
  url: https://focal.systems/contact/
- type: GitHubOrganization
  url: https://github.com/focal-systems
- type: TermsOfService
  url: https://focal.systems/terms/
- type: PrivacyPolicy
  url: https://focal.systems/privacy-policy/
- type: DomainSecurity
  url: security/focal-systems-domain-security.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence