Clients · companies running AI

Let's find out what your AI memory is really costing you.

If your team has moved AI into production — search, assistants, agents, retrieval over your own data — the memory behind it is quietly becoming one of your largest, fastest-growing line items. We'll look at your workload with you and tell you, honestly, whether CRBRL can take a meaningful cut out of that burn.

01 · Assess

Map the footprint.

We look at your vector volume, dimensions, replicas and growth curve — and where the storage line is heading over the next year.

02 · Model

Size the saving.

Roughly 8× fewer bytes per vector at ≈0.98 fidelity. We model what that means for your specific corpus, with no quality trade.

03 · Plan

A drop-in path.

Chroma-compatible API and a Postgres extension — no migration, no retraining. We map the move before you commit to anything.

Tell us about your workload.

A few details so the right person can come prepared. We'll review and send you a link to book a call.

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Takes about a minute.

After you submit, we review your details and email you a link to book a call with the right person on the team. No sales gauntlet.

Got it — thank you.

We'll review your workload and email you a link to book a call. Keep an eye on your inbox.