General Instinct website screenshot

General Instinct

General Instinct is a San Francisco company (Y Combinator Spring 2026) building the deployment layer for physical AI. Founded in 2026 by Bill Jiao and Guanming Wang, it distills, quantizes, and deploys large frontier AI models onto constrained edge hardware so robotics, drone, and physical-AI teams can run low-latency models fully offline on devices like NVIDIA Jetson, mobile NPUs, ARM CPUs, the Apple Neural Engine, and Snapdragon. Its first product, Instinct Edge, takes a model, a target device, and a latency budget and returns an offline runtime that hits the budget on-device with no cloud calls, handling model compression, custom kernel optimization (CUDA, Metal, ARM NEON), and the data-to-serving pipeline. It was surfaced as a Y Combinator portfolio company and added to the API Evangelist network as a stub; enrichment searched the public web and found a marketing landing page but no developer portal, documentation, OpenAPI, SDKs, or public API surface, so no API artifacts could be harvested. This profile captures the company identity plus the security posture of its public web surface, and remains an identity-only lead pending a discoverable API.

General Instinct is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine-Learning, Edge AI, and Edge Computing.

5.0/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyArtificial IntelligenceMachine-LearningEdge AIEdge ComputingPhysical AIRoboticsModel DeploymentInferenceOn-Device AIY Combinator

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
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.
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/general-instinct: 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.

General Instinct Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

Company 1

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: general-instinct
name: General Instinct
description: General Instinct is a San Francisco company (Y Combinator Spring 2026) building the deployment layer for physical
  AI. Founded in 2026 by Bill Jiao and Guanming Wang, it distills, quantizes, and deploys large frontier AI models onto constrained
  edge hardware so robotics, drone, and physical-AI teams can run low-latency models fully offline on devices like NVIDIA
  Jetson, mobile NPUs, ARM CPUs, the Apple Neural Engine, and Snapdragon. Its first product, Instinct Edge, takes a model,
  a target device, and a latency budget and returns an offline runtime that hits the budget on-device with no cloud calls,
  handling model compression, custom kernel optimization (CUDA, Metal, ARM NEON), and the data-to-serving pipeline. It was
  surfaced as a Y Combinator portfolio company and added to the API Evangelist network as a stub; enrichment searched the
  public web and found a marketing landing page but no developer portal, documentation, OpenAPI, SDKs, or public API surface,
  so no API artifacts could be harvested. This profile captures the company identity plus the security posture of its public
  web surface, and remains an identity-only lead pending a discoverable API.
url: https://raw.githubusercontent.com/api-evangelist/general-instinct/refs/heads/main/apis.yml
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
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://general-instinct.com/GI-logo-dark-new.png
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
x-enrichment:
  last_run: '2026-07-19'
  status: identity-only
  api_surface_found: false
  notes: Confirmed YC Spring 2026 edge-AI deployment startup (Instinct Edge); frontier models on edge devices, fully offline.
    Landing page only; no developer portal, docs, OpenAPI, SDKs, MCP, or well-known documents (all /.well-known/* + /llms.txt
    return the SPA HTML shell, not real documents). Domain-security probed on general-instinct.com.
tags:
- Company
- Artificial Intelligence
- Machine-Learning
- Edge AI
- Edge Computing
- Physical AI
- Robotics
- Model Deployment
- Inference
- On-Device AI
- Y Combinator
tags_raw:
- Company
- Artificial Intelligence
- Machine Learning
- Edge AI
- Edge Computing
- Physical AI
- Robotics
- Model Deployment
- Inference
- On-Device AI
- Y Combinator
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://general-instinct.com/
- type: X
  url: https://x.com/gen_instinct
- type: DomainSecurity
  url: security/general-instinct-domain-security.yml

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