Fern Bot website screenshot

Fern Bot

Fern (operating as Ishiki Labs) is a Y Combinator (Winter 2026) physical-AI startup building high-fidelity, custom robot world models that let robotics companies evaluate and train their robot policies at scale in software. Fern provides plug-and-play reinforcement-learning environments generated from a foundational world model: robotics teams seed varied starting scenes from their production environments, test and improve policies entirely in simulation, and Fern generates RL heads on top of existing policies to raise speed and success rates — a continual-learning flywheel where production robots improve every week. Founded in 2025 by CEO Amit Yadav (ex-Meta LLaMA / Reality Labs research scientist) and CTO Robert Xu (ex-Meta Reality Labs and Citadel Securities). As of this profile Fern publishes a marketing site, a whitepaper, and case studies but no public developer API, SDK, or documentation surface.

Fern Bot is profiled on the APIs.io network. Tagged areas include Company, Robotics, Physical AI, Reinforcement Learning, and World Models.

🌐 Visit website 📡 Source on GitHub
5.0/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
CompanyRoboticsPhysical AIReinforcement LearningWorld ModelsSimulationInfrastructureY Combinator

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Composite quality — 5.0/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.0 / 20
Access Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Contract Governance 0.0 / 12
Discoverability 5.0 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
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
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Delegated User Identity 0 / 6
Protected Resource Metadata 0 / 5
Registration Without a Human 0 / 6
Agentic Commerce Well-Known Document 0 / 5
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/fern-bot: 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.

Fern Bot Domain Security

TLSv1.3 · HSTS

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 2

The organization behind the API

Website
Website
 LinkedIn
LinkedIn

Other 3

Properties that don't map to a standard resource type

Whitepaper
Whitepaper
 CaseStudies
CaseStudies
 X
X

Source (apis.yml)

apis.yml Raw ↑ 
aid: fern-bot
name: Fern Bot
description: 'Fern (operating as Ishiki Labs) is a Y Combinator (Winter 2026) physical-AI startup building high-fidelity,
  custom robot world models that let robotics companies evaluate and train their robot policies at scale in software. Fern
  provides plug-and-play reinforcement-learning environments generated from a foundational world model: robotics teams seed
  varied starting scenes from their production environments, test and improve policies entirely in simulation, and Fern generates
  RL heads on top of existing policies to raise speed and success rates — a continual-learning flywheel where production robots
  improve every week. Founded in 2025 by CEO Amit Yadav (ex-Meta LLaMA / Reality Labs research scientist) and CTO Robert Xu
  (ex-Meta Reality Labs and Citadel Securities). As of this profile Fern publishes a marketing site, a whitepaper, and case
  studies but no public developer API, SDK, or documentation surface.'
url: https://raw.githubusercontent.com/api-evangelist/fern-bot/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- y-combinator
x-tier: stub
x-tier-reason: portfolio-lead
x-yc-batch: W2026
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://fern.bot/icon.svg
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Robotics
- Physical AI
- Reinforcement Learning
- World Models
- Simulation
- Infrastructure
- Y Combinator
apis: []
common:
- type: Website
  url: https://fern.bot
- type: Whitepaper
  url: https://fern.bot/whitepaper
- type: CaseStudies
  url: https://fern.bot/case-studies
- type: LinkedIn
  url: https://www.linkedin.com/company/fernbot
- type: X
  url: https://x.com/ishikilabs
- type: DomainSecurity
  url: security/fern-bot-domain-security.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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