Shade

What is Shade?

Shade is an AI-native media storage and asset management platform built specifically for video post-production studios, creative agencies, and content teams that work with large volumes of footage. The product's positioning at shade.inc is direct: it replaces what most modern post-production teams currently run as a three-tool stack — Frame.io (or Wipster) for review and approval, Dropbox or Google Drive for raw storage, and Iconik (or another media asset manager) for cataloging — and collapses those workflows into a single AI-native workspace. The thesis is that traditional storage tools treat video files as opaque blobs: filenames are the only handle editors have, folder hierarchies decay within months, and finding "the wide shot of the CEO smiling during the keynote" requires either remembering which dated folder it lives in or scrubbing through hours of timeline.

Shade's answer is to index the contents of every uploaded clip with AI. As media is ingested, the platform automatically extracts a transcript (so any spoken word in the footage becomes searchable), runs facial recognition (so every clip becomes tagged with the people in it), generates scene descriptions in natural language (so visual content becomes queryable: "establishing shot of empty stadium," "two people shaking hands at a desk," "drone footage over coastline"), and pulls out keyframes for visual scrubbing. The result: an editor or producer can type a natural-language query — "all clips of Sarah at the press conference," "every reaction shot from the third interview," "wide drone shots of the property" — and the right takes surface in seconds, regardless of whether the original filename was IMG_4471.MOV or 240515_A_007.MXF. This is the same shift that happened to documents when Google replaced filename-based document search with full-text indexing, applied to video.

Beyond search, Shade ships the full set of capabilities a working studio needs to actually deliver a project. Native review and approval handles the workflow Frame.io invented — frame-accurate timestamped comments, version stacks, approval gates — so editors and clients can review cuts in the same place the raw footage lives, rather than rendering and re-uploading to a separate tool. Multi-link sharing lets a studio send different curated links to different stakeholders (the client sees the client cut, the agency sees an internal cut, talent sees only their selects) without duplicating files. Role-based access control (RBAC) means freelance editors get scoped access to the project they're hired for and nothing else. Real-time streaming means proxies and full-resolution clips play back in the browser without local downloads — relevant when assistant editors are working across continents and shipping 200 GB of dailies down a hotel Wi-Fi connection is not realistic.

The target customer set is broader than just film and TV. Shade's marketing names sports media teams (highlight cutters who need to find every play involving #23 in seconds), creative agencies (managing client shoots across dozens of brands), post-production studios (the canonical buyer), commercial photographers with significant motion work, real estate and construction firms running drone and walkthrough footage at scale, consumer brands with in-house content teams managing product shoots, podcasters with multi-camera setups, live event producers, film and TV crews, and houses of worship with weekly multi-cam services. The unifying problem across all of these is the same: footage volumes have grown faster than the tools used to organize it, and folder-based storage has become a liability. Anyone storing more than a few terabytes of video and needing to retrieve specific moments later has the problem Shade solves.

In market terms, Shade is competing on a different axis than its incumbents. Frame.io (now owned by Adobe) wins on Premiere Pro integration depth and review-and-approval polish; it is not primarily an AI search tool. Iconik wins on enterprise MAM features for broadcast and large studios with on-prem requirements; it is heavyweight and IT-driven. Dropbox and Google Drive are general-purpose storage that happen to hold video, with no video-specific intelligence. Shade is the AI-native bet: that the killer feature for the next generation of media management is search-by-content rather than search-by-filename, and that bundling storage + review + MAM under one roof is more valuable than best-in-class single-purpose tools stitched together. As of 2026 it is one of the few well-resourced startups making that bet seriously, with a clean macOS desktop experience, a working web app, and a customer base that includes named studios. Pricing is not posted publicly for higher tiers, which is normal for tools selling into studio operations but slows down arms-length comparison shopping.

Shade Pricing

Shade does not publish full pricing tiers on its homepage. The signup flow at shade.inc offers "Start for Free" as a self-serve entry point; team and studio plans are quoted through a contact form. This is consistent with how most studio infrastructure tools sell — Iconik, Avid MediaCentral, and Editshare all gate pricing similarly — but it does mean budget-driven evaluations are slower than against self-serve competitors. Verify all current rates directly at shade.inc before committing.

Free tier — $0 ("Start for Free") · The free entry point lets individuals and small teams sign up directly without a sales call. It is intended as a real evaluation environment: upload a representative shoot, run the AI indexing, search by face/transcript/scene, and confirm that the platform's intelligence holds up against your actual footage before any commitment. Storage caps and feature limits apply but the core AI search experience is available.

Team / Studio (paid, contact sales) · For working post-production teams, agencies, and studios, Shade quotes pricing based on storage volume, number of seats, and feature mix (RBAC depth, review-and-approval needs, retention requirements). Expect the conversation to cover total media volume in TB, ingest velocity, the number of concurrent editors, integrations with NLEs (Premiere, DaVinci Resolve, Final Cut), and any compliance or data-residency requirements. Studios consolidating off a Frame.io + Dropbox + Iconik stack should bring their current combined monthly spend on those three tools to the conversation as the apples-to-apples reference point.

Enterprise (paid, contact sales) · For larger broadcasters, sports leagues, and studios with strict governance needs — SSO/SAML, SCIM provisioning, custom retention windows, regional data residency, dedicated support — Shade handles deployments through direct enterprise sales. Anything broadcast-grade or with regulated retention should expect this path rather than self-serve.

What drives the price — the two main cost drivers are (1) total media stored, since AI indexing is compute-expensive at ingest and storage is the dominant ongoing cost, and (2) seats, particularly editors with full upload and library-management permissions vs. read-only reviewers. RBAC means you do not have to pay full-editor rates for clients and external reviewers — that distinction matters more on Shade than on legacy MAMs that priced flat per user.

Trial path — start on the free tier, run a representative project end-to-end (ingest → AI indexing → editor search → client review → approval), measure the time saved against your current stack, and use that delta as the buying conversation. The honest evaluation isn't "does Shade work?" — it's "does collapsing three tools into one save more than it costs in switching friction?"

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Key Features

• AI search by transcript — every uploaded clip is automatically transcribed, so any spoken word in the footage is searchable. Type "the part where she mentions Q4 numbers" and the moment surfaces with timecode
• AI search by face (facial recognition) — Shade automatically tags people across your library. Search for "all clips with Sarah" or "every reaction shot of the CEO" and the platform returns matching takes regardless of which folder, project, or filename they live in
• AI search by scene description — natural-language queries on visual content: "wide drone shots of the property," "two people shaking hands at a desk," "empty stadium at sunset." Shade generates scene descriptions at ingest so visual search works without manual tagging
• Automated metadata — transcripts, faces, scene descriptions, keyframes, and standard technical metadata (codec, resolution, frame rate, duration, camera) are all extracted and indexed automatically. No assistant-editor metadata grind
• Native review and approval — frame-accurate timestamped comments, version stacks, approval gates, and client-facing review pages built directly into the storage layer. Eliminates the Frame.io render-and-re-upload loop
• Multi-link sharing — generate scoped, expiring links for different stakeholders. The client sees the client cut, the agency sees an internal cut, talent sees only their selects, freelance editors see only their assigned project
• Role-based access control (RBAC) — fine-grained permissions for editors, producers, reviewers, clients, and freelancers. Scoped access to specific projects and assets, not blanket library access
• Real-time streaming — proxies and full-resolution clips play in the browser without local downloads. Critical for distributed teams and remote dailies review where shipping 200 GB locally is impractical
• Native macOS desktop app — beyond the web app, a native Mac app provides better performance for editors working with large libraries and integrates with the Finder/file pickers used by Premiere Pro, DaVinci Resolve, and Final Cut Pro
• Bulk ingest — drag-drop or sync large media volumes; AI indexing runs at ingest so footage is searchable as soon as upload completes rather than requiring a separate manual cataloging step
• Version control for assets — version stacks for cuts and renders, so the latest approved version is always discoverable and prior versions are preserved without filename suffix soup (final_v3_FINAL_USE_THIS.mov)
• Project-level organization — projects, folders, and tags layered on top of the AI index, so search and traditional structure coexist. Editors who think in folder hierarchies aren't forced to abandon them
• Activity and audit trail — view who uploaded, viewed, downloaded, or approved which assets. Useful for studios with client-confidentiality clauses, sports leagues with embargoed footage, and houses of worship with privacy expectations
• Public and private review links — share assets externally with password protection, expiry, watermarking, and download permission control, without giving external parties a Shade login

How Shade Compares to Frame.io, Iconik, and Dropbox

The fairest framing is that Shade is replacing a stack, not a single tool. Most working post-production teams in 2026 run three things in parallel: Frame.io for review and approval, Dropbox or Google Drive for raw storage and delivery, and Iconik (or another MAM like CatDV or axle ai) for cataloging and search. Each is best-in-class on its lane, and each is also a separate login, separate billing line, and separate place where files live and need to be synced.

Frame.io won the review-and-approval workflow when it shipped in 2014 and has only deepened that lead since the Adobe acquisition. Its frame-accurate commenting, Premiere Pro integration, and client-friendly review pages are the gold standard. What Frame.io is not: a search-first MAM. You can find a clip in Frame.io if you know the project, the version, and roughly when it was uploaded — but searching for "every clip with Maria" across a year of unrelated projects is not what the tool is for. Shade ships review and approval natively, which closes 80% of Frame.io's daily-use surface, while adding AI search on top.

Iconik (now part of Backlight) is the canonical cloud MAM for studios. It wins on enterprise MAM depth: integrations into broadcast workflows, on-prem and hybrid storage tiers, deep custom-metadata schemas, broadcast-grade compliance. It is heavyweight, IT-driven, and pre-AI in its cataloging assumptions — most metadata is still manually applied or pulled from sidecar files, not generated by the platform from clip content. For an established broadcaster with on-prem storage and a metadata team, Iconik remains the right tool. For a 5-30-person creative shop trying to find a specific clip in 30 TB of footage without hiring an archivist, Shade's AI-native approach is materially less work.

Dropbox / Google Drive are general-purpose storage; they are video-blind. They have no transcript, no face recognition, no scene descriptions, no review-and-approval, no proxy streaming. They are cheap and ubiquitous, which is why they show up everywhere — but for any studio pushing past a few terabytes, the lack of video-specific intelligence becomes an active drag.

Shade is making the bet that the integration tax of running three separate tools is real and that AI-native search is finally good enough to replace the manual tagging legacy MAMs depend on. For studios feeling that pain — long search times, duplicate uploads, version chaos, freelancer access headaches — Shade is the right shape of answer. For studios deeply embedded in the Frame.io + Premiere Pro workflow with smaller libraries, the current stack is fine and the switching cost is real.

Pros & Cons

Best For

Post-production studios with 10+ TB of footage and growing pain. The canonical buyer. Shops where editors regularly say "I know we shot this, I just can't find it" and where a freelance assistant editor used to be the search engine. Shade's facial recognition, transcript indexing, and scene descriptions remove that bottleneck and pay back the switching cost within the first major project.

Sports media and highlight cutters. Teams that need to surface every play involving a specific athlete, every goal in a season, every reaction shot from a specific game — across thousands of hours. Face-based search and transcript indexing (for commentary) make Shade dramatically faster than scrubbing tape or relying on a tagger. Real-time streaming matters when highlights need to ship to social before the post-game presser ends.

Creative agencies juggling many client shoots. Agencies running parallel campaigns across 10+ brands need scoped access (so the Nike team doesn't see the Adidas footage), client-friendly review (so brand managers can comment without learning a tool), and search across the cumulative library (so when a producer says "remember that tagline shot we did for that other client?" the answer is findable). Shade's RBAC + native review + AI search is the right shape for this workflow.

Real estate, construction, and brands with drone or walkthrough libraries. Teams accumulating thousands of clips of properties, sites, or product shoots that look superficially similar. Scene-description search ("wide aerial of single-family home with pool," "kitchen close-up granite countertop") makes a sea of similar-looking footage actually retrievable. Folder-based storage falls apart fast at this scale; AI search is a step-change.

Live event producers, podcasters, and houses of worship. Multi-camera workflows that produce 6+ angles per session and accumulate weekly. Transcript indexing makes finding specific moments across years of services or episodes trivial; face recognition handles guest tagging without manual data entry; scoped sharing handles the staff / volunteer / external-clip-requester permission split. Real-time streaming lets remote producers cut highlights without local downloads.

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