VAAS-X (Vector Augmented Array Storage - Extended) A new class of AI retrieval and cognition archtecture that operates on CPU-only hardware without any GPU acceleration dependency allowing the power of cognition to be deployed on any system.
A domain-agnostic platform for durable memory, rapid recall, and outcome-driven learning.
Hybrid Centroid Index
HCI (Hybrid Centroid Index) is the fast “lookup engine” inside VAAS‑X. It groups similar memories into buckets so the system can find the closest match quickly, even at large scale, without needing expensive GPU hardware. In simple terms, it’s the method that makes the memory search fast and efficient.
State-Action-Outcome
SAO (State‑Action‑Outcome) is the simple record format VAAS‑X uses to describe what happened, what was done, and what resulted. Think of it as the basic “memory unit” the platform stores so it can learn from outcomes and retrieve similar situations later.
Encrypted Similarity
OKE (Orthogonal‑Key Encryption) is the security layer that lets VAAS‑X search encrypted memory without decrypting it. In simple terms, it keeps data locked while still allowing fast similarity search, so you get recall without exposing sensitive information.
Shard Memory
VACA (Vector‑Augmented Cognitive Array) is the storage layer of VAAS‑X. It’s where the system keeps the “memory” itself — the vectors, metadata, and outcomes — so they can be searched, updated, and governed over time. In simple terms, VACA is the brain’s long‑term memory store.
Unified Operator UI
Manage ingestion, search, and workflows from a single interface.
Systems improve when they can recall what actually happened and what worked.
Rules decay, models drift, and teams repeat mistakes because past outcomes are not stored or reused.
❌ No memory ❌ No outcome feedback ❌ Slow learning loops
Every experience becomes a state‑action‑outcome episode. Similar situations instantly retrieve what worked.
✓ Durable memory ✓ Outcome feedback ✓ Sub‑100ms recall
Systems that improve with every outcome, without retraining and without forgetting.
This isn't a model. This is memory.
Memories stay encrypted at rest, in transit, and during search. Run similarity queries without exposing plaintext.
Sub-100ms queries across large-scale vector corpora on CPU-only hardware (internal benchmark: 28,424 vectors). Scales horizontally across shards.
Logs, sensor streams, text, and structured events unify into one episodic recall interface.
New episodes index immediately. No retraining or downtime.
Stop reinventing the wheel. Start learning from every experience.
Email: hello@vaasx.com
Sales: sales@vaasx.com
Support: support@vaasx.com