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.
Index entry only — little beyond a description and a link, and nothing machine-readable enough for an agent to act on without a human reading the site first.
API Evangelist profiles Fern Bot the way a machine reads it — 1 machine-readable artifact, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Fern Bot scores 6.8/100 (minimal), with a separate agent-readiness read of 0/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Fern Bot
Each block below is one kind of artifact we hold for Fern Bot. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 1
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Fern Bot — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Access & Security 1
Authentication, authorization, and security posture
Company 2
The organization behind the API
Other 3
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/fern-bot · machine-readable index on apis.io