Years of Footage Nobody's Rewatched

A production studio or ad agency accumulates terabytes of raw footage and recorded client calls over the years: takes, b-roll, archival shoots, campaign briefs and discussions, client projects long since closed. Finding a specific shot, scene, or moment from an old call means rewatching or relistening to everything by hand.

The same time crunch isn't limited to closed projects. On a project being cut right now, a single day's footage is often more than one person can review before deadline: multiple cameras, hours of takes, weeks of client calls. Finding the right shot or quote from yesterday's shoot day is fundamentally the same task as going through a five-year-old archive — just on a "need it now" timeline instead of "someday."

Digercules goes through raw footage and recorded calls — whether shot yesterday or five years ago — and builds a catalog from it: what's on each recording (including a per-speaker breakdown for interviews, talking-head shots, and client calls), where each scene is, what a brief call was about, which takes duplicate each other, what can be reused in a new project, and what's finally obsolete.

How it works

Processing runs either entirely on the client's own hardware, or — if that hardware isn't powerful enough — is delegated to a specific external machine over a closed peer-to-peer channel (not a public cloud): the compute is physically located in the Caucasus and Eastern Europe, the client is always told explicitly which machine and which jurisdiction is doing the processing, and only text/structured results come back — never the source files. Client project material stays under the same access control as before — it's processed on your direct instruction, and the result is a catalog and annotations, not a publication of the material.

Recognizing audio and video has already been proven at scale: 66,000+ hours of real recordings processed on live archives, not in demo mode.

Wherever people show up on the record — clients, talent, on-set crew — a dedicated face-identification module handles who's who: the system only suggests a match, a person always confirms, and the decision history is never overwritten. How it works.

Objections

"Client material is confidential under contract" — processing doesn't change storage or access terms; it just turns the content into a catalog, accessible the same way the source files already are.

"We already have a media archive/DAM system" — a DAM (Digital Asset Management system) stores files by metadata that was entered manually on upload; Digercules adds what a DAM never captures — the actual meaning of the recording's content.

"We need this during editing, not for an archive" — that's exactly what it's for: processing doesn't require a project to be closed and abandoned, it works on footage of any age, including yesterday's shoot day.

First contact

A pilot on the archive of one completed project — an annotated catalog of all the footage within hours. The proposal should go to the studio head or producer who makes decisions about the archive, not a line editor.