INF Tech
INF Tech (无限光年, "Infinite Light Year") is an AI-native technology company headquartered in Shanghai, with a global entity in Singapore (inf.sg), building safe and trustworthy agentic AI for mission-critical industries. Its flagship is an enterprise "Agentic OS" — an intelligent-agent operating system with unified governance, a private AI code-execution engine that supports custom LLMs and skills, and full-stack application security spanning model training through deployment. INF also develops and open-sources multimodal foundation models, including the Infinity-Parser document-parsing family, the INF-Retriever bilingual dense-retrieval models, OpenCoder code LLMs, and VL-Rethinker vision-language reasoning models, all published on Hugging Face and GitHub. Vertical "industry agents" target finance (AI index customization, compliance intelligence, investment research, and SME credit rating) alongside science and education. The company exposes API, CLI, and SDK access and supports MCP integration.
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 INF Tech 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 — INF Tech scores 9.2/100 (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 INF Tech
Each block below is one kind of artifact we hold for INF Tech. 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 INF Tech — 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.
Get Started 1
Portal, sign-up, and the first successful call
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Company 2
The organization behind the API
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