Jungla
Jungla, Inc. was a San Francisco precision-medicine informatics startup founded in 2016 by Alexander Colavin and Carlos Araya. Backed by Andreessen Horowitz (a16z) and IndieBio, it built a cloud-based Functional Modeling Platform (FMP), also described as a Molecular Evidence Platform, that combined functional genomics, computational biophysics, cellular engineering, and machine learning to produce auditable predictive models for clinical genetic and genomic variant interpretation. Jungla emerged from stealth in 2018 and was acquired by Invitae Corporation in July 2019 (approximately $59M), where its technology augmented Invitae's Sherloc variant-classification approach. The company is now defunct; its original developer surface (jungla.io) is offline and no public API, documentation, or SDKs survive. This profile is a historical record surfaced from the a16z portfolio; it carries no live developer artifacts.
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.
Jungla is tracked in the API Evangelist network. This page is the human-readable profile that sits on top of the machine-readable index we maintain at apis.io.
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 — Jungla scores 5.7/100 (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
Jungla is in the network as a tracked entity. We haven't yet indexed a public API surface for it — when one is published, the artifacts, score, and agent-readiness read will appear here automatically. The source repository is where that profile is built.
← All providers · Data indexed from github.com/api-evangelist/jungla · machine-readable index on apis.io