Reach and use everything you store — including what's too big, too cold, or too scattered to touch today — and unlock what your stack couldn't do before. A capability no one else can offer.
Everything else — last year, the archive, the other region, the sensor history — sits cold, siloed, or simply too big to touch. Every tool you run quietly bends around that wall.
You keep a small, expensive slice "hot," and reach for the rest only when you must — restores, exports, migrations, waiting. The bigger you get, the more of your own data you can't actually use.
The whole estate is within reach — live, at once — on hardware you already have or a device you can hold in your hand. Nothing to rehydrate. Nothing left dark.
Measured in our testing on commodity hardware, with a dataset larger than the machine's own memory. Your results depend on your data and how you use it.
This is a live, sealed Validiti node holding 130,000 real files — books, photos, music, film, spreadsheets. Search or browse all of it at the same moment, and open anything — reached live from a footprint small enough for a light‑bulb of power.
A live, sealed, Titus‑monitored node. Measured on commodity hardware; your results depend on your data.
Addressability doesn't ask you to throw anything out. It slips under the tools you already use — and new abilities appear, because for the first time the whole of your data is reachable.
Was: limited to the recent, hot slice.
Ask questions across everything you've ever stored, live — including data that was too big to keep online.
Was: answers from a months‑old snapshot.
Answer from the whole of your data, right now — not a stale, prepared slice.
Was: restore‑and‑wait to reach old versions.
Every version of every record instantly reachable — no restore, no rehydrate.
Was: the estate lives in a distant data center.
Carry your entire data estate where a data center can't go — a truck, a clinic, an air‑gapped site.
Was: sampling and hoping.
Reach and prove any record across your entire history, instantly.
Wherever you were bending around data you couldn't reach — that constraint is gone.
Some answers only exist when you can see everything at once — the single rarest event across your entire history, the signal that only stands out against all of your data. When it's all reachable, your analytics run over all of it — exactly, not a sample.
The kind of question that had no home before — "which record is the rarest across our entire history?" or "what stands out against everything we've ever stored?" — answered exactly, on hardware that could never hold it all at once.
Measured in our testing over a dataset larger than the machine's memory. Results vary with your data.
When all of your data is reachable with its context — what comes before and after — your AI can answer from the whole of it, exactly, and show where the answer came from. It even catches what ordinary checks miss: a value that looks perfectly normal on its own, but is a one‑in‑a‑million in this context.
In our tests, context‑aware analysis flagged every planted in‑context anomaly that value‑only analysis missed entirely — from a model a fraction the size of the data. Results vary.
We ran the identical whole‑data analysis against a leading in‑memory columnar engine. It's fast when your data fits in memory — but it pays for it in memory, and it slows sharply when you ration it. We don't.
to analyze under half a GB of data — 10–15× the data's size held in memory — and 2–3× slower when its memory is capped (it spills to disk). Its appetite grows with your data.
to analyze 15+ GB — larger than the computer's own memory — and it stays flat as your data grows. Same exact answer. No memory wall.
Identical task, same hardware, measured. That engine is genuinely fast when data fits in memory; the difference is memory per GB and what happens past that limit. Results vary with your data.
The same reach that serves a headquarters runs on a single low‑power node — at the edge, in the field, off‑grid, or air‑gapped. Your data goes where you go, and stays yours.
We're working with a small number of founding partners to bring this to their stacks first.
Become a founding partner