TAE Technologies
TAE Technologies (formerly Tri Alpha Energy) is a Foothill Ranch, California fusion energy company founded in 1998, pursuing commercial fusion power using aneutronic hydrogen-boron (p-B11) fuel in an advanced beam-driven field-reversed configuration (FRC). Because the p-B11 reaction is aneutronic, TAE's approach produces virtually no neutron flux or on-site radioactive waste compared with conventional deuterium-tritium concepts. The company has built a progression of plasma machines — Sewer Pipe, CBFR-SPS, C-2, C-2U, and C-2W ("Norman") — and is constructing Copernicus in Irvine, California to demonstrate net energy gain, with Da Vinci planned as the grid-connected power-plant demonstration. TAE has raised more than USD 1.2 billion from investors including Google, Chevron, NEA, Goldman Sachs, Vulcan, Venrock, Wellcome Trust, and the Kuwait Investment Authority, and runs research collaborations with Japan's National Institute for Fusion Science (NIFS). Two operating subsidiaries commercialize spin-off technology: TAE Life Sciences develops accelerator-based Boron Neutron Capture Therapy (BNCT) systems for cancer treatment, and TAE Power Solutions builds modular, software-controlled power-management systems for e-mobility and battery applications. TAE is a private hardware and deep-science company; it does not publish a developer API, SDK, OpenAPI specification, or public open-source code repository.
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 TAE Technologies 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 — TAE Technologies scores 7.2/100 (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 TAE Technologies
Each block below is one kind of artifact we hold for TAE Technologies. 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 TAE Technologies — 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
Learn 1
Tutorials, courses, talks, and written guidance
Operate 1
Status, limits, changes, and where to get help
Company 7
The organization behind the API
Scroll within the panel for all 7 ·
Other 3
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/tae-technologies · machine-readable index on apis.io