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.

Deep Render is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Video Compression, and Image Compression.

🌐 Visit website 📡 Source on GitHub

6.8/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-28 · rubric v0.5

0 APIs

CompanyArtificial IntelligenceMachine LearningVideo CompressionImage CompressionCodecsMedia

Kin Score

Kin Score How this is scored →
scored 2026-07-28 · rubric v0.5

Composite quality — 6.8/100 · minimal

Contract Quality 0.0 / 25

Developer Ergonomics 0.0 / 20

Commercial Clarity 0.0 / 20

Operational Transparency 0.0 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

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Resources

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: deep-render
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/deep-render.png
name: Deep Render
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/deep-render/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- speedinvest
x-tier: stub
x-tier-reason: portfolio-lead
x-status: acquired
x-acquired-by: interdigital
x-enrichment-note: deeprender.ai returns HTTP 301 for every probed path (root, /.well-known/security.txt, /llms.txt, /docs,
  /api) redirecting to www.interdigital.com/video-lab/. No independent Deep Render developer/API surface exists; no API artifacts
  could be produced. Probed 2026-07-18.
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-18'
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Video Compression
- Image Compression
- Codecs
- Media
apis: []
common:
- type: Website
  url: https://www.interdigital.com/video-lab/
  x-note: deeprender.ai 301-redirects here (InterDigital Video Lab)
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence