I built TeraAirlift because I kept seeing the same operational problem from the IT side: a very large package had to reach an editor, client, or vendor, and everyone depended on a transfer that was difficult to observe and support. The bandwidth mattered, but so did every permission change, failed attempt, status question, and handoff around it.
My background in this article is founder-supplied rather than independently verified. I have spent approximately 15 years working across helpdesk, systems administration, cloud architecture, and infrastructure engineering. The formative part of this story came from systems-administrator work in an advertising and media environment.
I was the person who got the ticket
In the environment I supported, sending media was never just a sender clicking a button. IT might need to review or allowlist a third-party transfer application, coordinate access among internal staff and outside collaborators, replace an expired share link, or investigate why a transfer was slow or had failed. When media arrived, someone still had to ingest it into shared storage. When an online route was impractical, a drive could be shipped instead, and ingest could not start until it arrived.
Those tasks were individually ordinary. Together they made delivery an operations problem.
The affected editor saw missing footage. A producer saw schedule risk. IT saw identity, endpoint, network, and storage questions at once. The recurring cost was not only the invoice for moving bytes. It was the time spent waiting, coordinating, diagnosing, retrying, and reconstructing status. The hidden IT cost of large media transfers is best measured from a team's own tickets and handling time, not from an invented industry average.
The files were large enough to change the workflow
“Large” is easy to use as marketing language, so I prefer a manufacturer example. ARRI's ALEXA 35 manual lists approximately 2,009 GB per hour for ARRIRAW 4.6K 3:2 Open Gate at 24 fps. At that published rate, three recorded hours are about 6,027 GB, or roughly 6 TB. Camera, mode, codec, frame rate, and firmware all change the result, but the example explains why a media delivery can quickly become infrastructure work.
Network arithmetic adds another constraint. A decimal 6 TB payload contains 48 trillion bits. At an effective 800 Mbps, the theoretical transfer time is about 16.7 hours before protocol overhead, contention, or interruptions. At 200 Mbps effective, it is about 2.8 days. Those are transparent calculations, not observed TeraAirlift performance.
Physical delivery is therefore not evidence that a team is unsophisticated. Microsoft documents physical data-transfer devices as an option when datasets are several terabytes or larger and network capacity, reliability, time, or transfer cost makes an online path unsuitable. Sometimes shipping is the correct answer. My question was whether repeated deliveries had enough workflow cost to justify a more purpose-built online option.
Use the transfer-time calculator to substitute your payload and effective connection speed for these examples.
The problem became a set of product principles
The first principle was visibility. A transfer operator needs more than an animated progress bar. They need queue state, progress and ETA, history, and diagnostics that help answer what is happening and what needs attention.
The second was controlled delivery. Recipient handling and short-lived access should be part of the workflow rather than improvised after an upload finishes. That does not remove an organization's security review or promise that every access issue disappears.
The third was verifiable integrity. For very large deliveries, “download complete” is not enough on its own. The current repository supports SHA-256 checks around upload, completion, and download. That is a specific integrity mechanism, not a certification or a general security guarantee.
The fourth was focus. I wanted a delivery tool, not an archive, a media-asset-management system, or a general-purpose cloud drive. Narrow scope matters because storing material for years and staging it long enough to deliver are different jobs with different controls and economics.
What exists now
TeraAirlift is currently a Windows-first desktop operations console for large file and folder transfer. Its repository-supported workflow includes transfer queues, progress and ETA, cancellation and retry-friendly operations, history, diagnostics, recipient-controlled delivery, short-lived storage access, and SHA-256 verification. The Windows download is current; Mac is coming soon.
That description has deliberate boundaries. It does not promise a transfer speed, exact resume behavior, uptime, an SLA, or a roadmap date. It also does not claim that the product eliminates shipped drives. A slow source disk, constrained network, recipient environment, or policy decision can still determine the right delivery method.
Billing and pricing remain under evaluation. Current site wording says plans start with a 10 TB included allotment. That is an allotment, not a minimum package size: packages can be any size, and volume above the allotment is overage. The final price, overage rate, meter, and billing design are not published; details are confirmed on a demo.
The product is still a hypothesis expressed in software: that deadline-driven teams benefit from treating large-file delivery as an observable operating workflow instead of a one-off share link. My lived experience explains why I chose the problem. It does not prove market demand, customer outcomes, or broad industry frequency.
That distinction has shaped how I think about building the business. The companion article, what I learned building my first SaaS around a workplace problem, covers the assumptions, scope decisions, economics, and unanswered questions behind the build. For the practical media workflow, see the post-production delivery guide, or download the current Windows client.
Sources
- Founder/repository disclosure: Career background and the advertising/media support experiences described above are founder-supplied facts from the TeraAirlift research pack and have not been independently verified. Product status and capabilities are drawn from this repository's current product and site-status documentation.
- ARRI — ALEXA 35 SUP 1.3 user manual — manufacturer data-rate context for the stated camera mode.
- Microsoft Learn — Data transfer for large datasets with low or no network bandwidth — criteria for considering physical data-transfer devices.
