HOLONOMIX
Flagship Product

HX-SDP

The Structural Data Platform

Store data once. Serve every access pattern. On the reference stack benchmark, HX-SDP replaces 8 infrastructure services with one structural representation: a compact encoding that exposes mathematical structure rather than copying it into format-specific indexes. This reduces monthly infrastructure cost from ~$149K to ~$20K and compresses ~200 TB of redundant storage to ~1.3 TB. Lossless. Audited.

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The problem

Every access pattern demands its own copy of the data

Modern enterprise infrastructure was not designed this way on purpose. It accumulated. Each new access pattern (caching, search, ML features, vector similarity) required its own service, its own storage format, and its own copy of the same underlying data. The result is an architecture where the same information is stored up to nine times, each copy maintained by a separate team with a separate bill.

ServiceRoleWhy it exists
RedisCachingFast reads need a separate in-memory copy
Pinecone / WeaviateVector searchSimilarity queries need a separate embedding format
Feast / TectonFeature storeML serving needs yet another copy, pre-joined
ElasticsearchSearch indexText queries need an inverted index copy
KafkaEvent streamAsync delivery needs a raw byte buffer copy
Airflow + ETLTransformationEvery downstream format needs a pipeline to build it
The insight

These services do not exist because the data is different. They exist because the format is.

If one representation could natively serve every access pattern, there would be no reason to copy the data at all. HolonomiX is that representation.

How it works

One representation. Every access pattern.

HolonomiX stores data in a structural format that natively serves caching, similarity search, feature serving, full-text search, event streaming, and ingestion. The data enters once and never needs to be copied, reformatted, or synced between services.

Caching

Sub-microsecond key-value reads via native RESP protocol. No separate Redis instance.

Vector search

Similarity queries computed directly on compressed cores. Exact results, faster than approximate search on dense vectors.

Feature serving

ML features served from the same representation. No offline-to-online sync.

Full-text search

Text queries answered from the structural form. No separate inverted index.

Event streaming

Produce and consume directly. No raw byte buffer. No 7-day retention copy.

Data compression

200 TB becomes approximately 1.3 TB. Storage bills drop by 99%.

The numbers

Audited. Not estimated.

Every claim on this page is backed by a 109-operation feature parity audit across all 8 replaced services. The numbers below are from that audit, not projections.

$149KCurrent monthly cost13 services, 9 copies
$20KWith HolonomiX5 services, 1 copy
109Operations auditedAcross all 8 replaced services
100%Covered or resolved55 native, 33 improved, 21 resolved
Beyond parity

Capabilities no incumbent offers

Replacing 8 services with 1 is the cost story. But the architecture also creates capabilities that are structurally impossible in a multi-service stack.

01

Structural fingerprinting

Every piece of data is classified by its intrinsic structure: identifying data by its mathematical structure rather than copying it into format-specific indexes. The system knows what it can compress before it tries.

02

Cross-pattern queries

One query that spans caching, similarity, and full-text search simultaneously. Impossible when those are three separate systems.

03

Compression-aware routing

The Oracle: a routing system that applies structural fingerprinting: routes data to the optimal compression strategy per value. Random noise passes through untouched.

04

Zero-copy serving

Features, vectors, cache entries, and search results served from one stored representation. No copy between services.

Deployment & Pilots

How HX-SDP deploys

Deployment Model

Cloud, on-premises, or hybrid. Scoped during pilot engagement. Compatible with existing infrastructure.

What Remains

HX-SDP replaces data storage and access services. Your application layer, business logic, and orchestration remain unchanged.

First Pilot

Typical pilot: 4-6 weeks, scoped around one real workload, with defined deliverables and success criteria. Contact us to discuss your environment.

Deployment details are discussed during pilot scoping.

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See it work

Walk through the full architecture

Step through how the current stack works, what changes with HolonomiX, and review the 109-operation feature audit.

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