Dryft
Dryft, Inc. is a Palo Alto, California startup building an AI operating system for manufacturing operations. The platform pairs context-aware, agent-based intelligence with mathematical optimization to mimic, optimize, and automate complex human decisions across the shop floor and supply chain. Dryft reads operational data from existing ERPs and inventory systems, identifies issues such as late items or stockouts, and autonomously recommends and executes actions like adjusting order quantities and safety stocks or following up with suppliers. The company frames this as a shift from static Enterprise Resource Planning to Enterprise Resource Automation, freeing planners to focus on strategy over administrative work. Founded in 2024 by CEO Anna-Julia Storch and CTO Leonie Freisinger, Dryft raised a $5M round led by General Catalyst with participation from Neo and Sandberg Bernthal Venture Partners. Dryft does not currently publish a public developer API, SDKs, or documentation; this profile captures its company identity in the API Evangelist network.
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 Dryft 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 — Dryft scores 10.2/100 (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.
How we profile Dryft
Each block below is one kind of artifact we hold for Dryft. 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 Dryft — 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
Operate 1
Status, limits, changes, and where to get help
Commercial 1
Pricing, plans, and the legal terms of use
Company 6
The organization behind the API
Other 2
Properties that don't map to a standard resource type
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