Mastersoup by MagneticAI
on-device vector search

Everyone else rebuilds.
That is the bill.

The standard answer to drift is to rebuild the index on a GPU cluster, forever. You either pay to keep search up while it runs, or you take search down while it runs. Mastersoup does neither.

ANNUAL COST · 10K HUMANOID FLEET · 10B VECTORS RESIDENT

Two baselines you can actually buy today, and what the same fleet costs on Mastersoup.

Self-managed Milvus — compute alone
now$2.64M
with Mastersoup$264K
Pinecone serverless
now$789K – 868K
with Mastersoup$79K – 87K

Mastersoup is priced at a tenth of the baseline it displaces. Vendor list pricing read 2026-08-27, one region, 24/7, at ~4 KB per vector. Full derivation on request.

AND THE CHEAP ONE IS NOT THE WORSE ONE
1.11×
Search latency stability
p99 / p50 at recall 0.95 — hnswlib measures 1.49× and faiss IVFFlat 1.63× on the same run of our 768-d × 1M benchmark.
0 s
Re-indexing downtime
The catalog is read-only — nothing is retrained, nothing is swapped out. 450 M inserts and deletes over 12 hours, recall never below 0.977.
100 %
Deletion that deletes
resolved inside the cluster — the vector’s bytes are overwritten, not just marked
Run all four engines side by side → Talk to us Same vectors, your phone browser, no network.