Deep Render
Deep Render is an artificial-intelligence company that developed neural-network-based ("learned") video and image compression technology, aiming to replace traditional hand-engineered codecs such as H.264/HEVC/AV1 with deep-learning models for higher compression efficiency. Founded as a London-based startup, it was backed by Speedinvest and was surfaced into the API Evangelist network through VC-portfolio discovery. As of this enrichment pass its primary domain, deeprender.ai, issues a blanket HTTP 301 redirect to InterDigital's Video Lab (https://www.interdigital.com/video-lab/), indicating the company and its compression technology have been absorbed into InterDigital. Deep Render publishes no independent developer portal, API, documentation, SDK, or other machine-readable surface for enrichment at this time.
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.
Deep Render 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 — Deep Render 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.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
Resources
Every other property we hold for Deep Render — 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.
Company 1
The organization behind the API
Deep Render 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.
← All providers · Data indexed from github.com/api-evangelist/deep-render · machine-readable index on apis.io