TurbineOne
TurbineOne builds a frontline AI/ML platform that turns raw sensor data into real-time detection, classification, and targeting at the edge for defense and national-security missions. Its product suite spans Frontline Perception (edge computer vision on live sensor feeds), Frontline Command, Frontline Autonomy, a Model Hub for managing and deploying ML models, and EdgeWorks, a program that brings warfighters, mission teams, and engineers together to develop and validate mission capabilities for contested, disconnected environments. The company was founded on expertise in artificial intelligence, mesh networking, and sensing technology, and positions its work as "Responsible AI for our nation's heroes." It is backed by Bessemer Venture Partners. TurbineOne publishes no public developer API, SDK, or documentation surface; this profile captures its public identity, GitHub organization, and a live domain-security probe.
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 TurbineOne 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 — TurbineOne scores 13.0/100 (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 TurbineOne
Each block below is one kind of artifact we hold for TurbineOne. 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 TurbineOne — 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.
Build 1
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
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
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