Doxel
Doxel is a Menlo Park, California construction technology company providing AI-powered observability and progress tracking for large capital projects. Founded in 2015 by CEO Saurabh Ladha, the company combines 360-degree reality capture (via Insta360 X5 hardware partnership) with computer vision models that compare site video against BIM models to automatically quantify work-in-place by trade, system, and stage. The platform layers a "rules of credit" engine on top of those quantities to drive earned-value, schedule, and budget analytics — including 3D Progress View, Production Rates, Schedule (a visual Gantt replacement), Utilities Underground Tracking from drone imagery, and Portfolio-level dashboards. Doxel uses advanced language models to map schedule line items to physical progress and supports Procore-style construction management workflows, with deployments across data centers, healthcare, semiconductor fabs, and EV battery factories. Doxel has raised approximately $57M from Insight Partners, Andreessen Horowitz, and others, and counts 18 of the top 30 U.S. general contractors, 14 of the top 20 data center developers, and 3 of 4 hyperscalers as customers. There is no public developer API, SDK, OpenAPI specification, or GitHub organization — the platform is delivered as a managed SaaS application at app.doxel.ai with hardware-assisted capture and enterprise integrations arranged via direct engagement.
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 Doxel 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 — Doxel scores 9.4/100 (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 Doxel
Each block below is one kind of artifact we hold for Doxel. 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 Doxel — 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.
Get Started 1
Portal, sign-up, and the first successful call
Access & Security 1
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Company 4
The organization behind the API
Other 3
Properties that don't map to a standard resource type
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