Bracket Computing
Bracket Computing was a cloud computing and enterprise security company founded in 2011 by Tom Gillis and Jason Lango (both formerly of IronPort Systems) and based in Mountain View, California. It built a cloud workload-isolation platform that extended encryption, integrity protection, and micro-segmentation across heterogeneous public and private cloud environments. The company raised roughly $130 million from investors including Andreessen Horowitz (a16z), Fidelity, Goldman Sachs, and Sutter Hill Ventures before VMware acquired its intellectual property and key engineers on May 1, 2018, folding the technology into the VMware NSX networking and security portfolio. Bracket Computing no longer operates as an independent entity and publishes no developer portal, documentation, or public API; its primary domain now resolves to a parked domain-for-sale page.
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.
Bracket Computing 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 — Bracket Computing 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.
Bracket Computing 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.
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