AI infrastructure
Decide how much serving state to materialize, what the inference data plane costs to operate, and how retrieval-dependent outputs are evidenced.
HX-SDPHolonomiX
The Data Representation-Topology Company
Products, platforms and bespoke software & computational engineering
Data representation determines how much state a system stores, moves and expands for computation. HolonomiX measures workload structure and engineers representations and operations around its fidelity and deployment requirements.
Six products built on structural computing
HX-SDP carries the thesis as the flagship platform. HX-Provenance is the deployed cloud proof point. Four specialized systems extend the portfolio into cryptographic transition, AI-factory thermal analysis, multidisciplinary engineering, and agent-evaluation incident evidence.
HX-SDP
Representation-first AI inference data platform
Consolidate structural classification, retrieval, serving, search, governance and proof-bearing operations into a representation-first data plane for suitable AI workloads.
HX-Provenance
Digital evidence beyond the originating system
Preserve signed receipts and portable evidence bundles for AI outputs, compliance records and other critical digital artifacts, with independent verification after handoff.
HX-PQC
The full post-quantum cryptographic lifecycle
Discover cryptographic dependencies, execute scoped migration, protect live workloads and continuously verify posture with signed lifecycle evidence.
HX-AIFactoryTwin
Thermal decisions before capital commitments
Evaluate thermal-fluid scenarios for high-density AI infrastructure with explicit model boundaries, validation states and signed evidence for each attested run.
HX-MDAO-TP
Validity-gated multidisciplinary analysis and optimization
Run coupled multidisciplinary analyses and optimization workflows within stated validity domains, with explicit convergence states and inspectable signed evidence.
HX-AEIR
Signed reconstruction evidence for agent-evaluation incidents
Validate, sign, store, export and independently verify the evidence used to reconstruct agent-evaluation incidents in a customer-controlled Google Cloud project.
HX-Provenance on Google Cloud
HolonomiX and Google Cloud help organizations preserve independently verifiable evidence for AI outputs, compliance records, cyber incident evidence, legal documents, and other business-critical records. Authorized reviewers can validate those records without relying on the systems where they were created.
HX-Provenance deploys inside the customer's existing Google Cloud environment. Records, signing keys and evidence storage remain under customer control, fitting into existing governance processes and applications.
Post-quantum digital signatures support verification after the originating system has been upgraded, migrated or retired. Retained evidence, the matching verifier and the expected issuer key provide the path for later review.
The joint solution brief reports 214.8 receipts per second across 1,000 requests with zero errors on its documented 2-vCPU deployment.
HX-Provenance and HX-Provenance for Vertex AI have separate Google Cloud listings. HX-Provenance is also deployed through AWS Marketplace. Trial eligibility and terms are specific to each listing.
Private deployments and scoped pilots
Each engagement defines the workload, deployment boundary, acceptance criteria, evidence package and next commercial decision before execution. HX-SDP is available through a Private Appliance or scoped pilot.
| Product | Availability | Access |
|---|---|---|
| HX-SDP | Private Appliance · Scoped pilot | Request HX-SDP access |
| HX-Provenance | Google Cloud · AWS · Private Appliance · Scoped pilot | Deployment options |
| HX-PQC | Private Appliance · Scoped pilot | Contact HX-PQC sales |
| HX-AIFactoryTwin | Private Appliance · Scoped pilot | Discuss a thermal analysis |
| HX-MDAO-TP | Scoped pilot | Request an MDAO pilot |
| HX-AEIR | Private Appliance · Scoped pilot | Request HX-AEIR access |
Claims resolve to artifacts
Commercial availability, technical performance, product status and verification are different forms of evidence. Each remains attached to its own scope and supporting record.
Measured results carry the workload, hardware, precision, baseline, methodology and limitations that produced them. Receipts, manifests, bundles and validation records provide an inspectable path from a claim to its supporting material.
Signing, custody and verification requirements are stated per product. Published records and gated proof packs remain identified in the evidence registry.
Verify an HX-Provenance example
The public demonstration contains a fictional record, its signed receipt, an evidence bundle and matching standalone verifiers. It exercises valid inputs, altered records and an incorrect issuer key. Verification runs offline after dependency installation.
This synthetic example demonstrates the mechanism. A valid signature establishes integrity under the expected key; it does not establish that the record's contents are correct.
Representation is the control surface
Data, memory and compute form one economic system. HolonomiX begins with the form of the data before execution starts, because representation determines how much state must be materialized, how often it must move, and where useful operations can act.
The same data can create different demands on memory and compute. A representation that exposes useful structure can reduce stored state and support operations without expanding the full object. The benefit depends on workload structure, operation, fidelity requirements, representation rank and deployment conditions.
| Property | Dense representation | Structurally aware representation |
|---|---|---|
| State | Explicit values in dense arrays. | A representation that uses the workload’s sparsity, low rank or other structure. |
| Memory movement | Determined by array layout, access patterns and the operation. | Can decrease when locality or compact state avoids moving unnecessary data. |
| Computation | Dense kernels act on the materialized arrays. | Supported operations act on the chosen representation without expanding all of it. |
| Scaling | Storage follows the dense array shape and precision. | Storage and work follow the retained structure and its overhead. |
Where representation and evidence change the decision
Engineering systems
Evaluate designs and thermal scenarios before committing capital, with validity and convergence states that remain inspectable.
HX-AIFactoryTwin · HX-MDAO-TPCryptographic transition
Decide what to migrate, in what order, and how to demonstrate posture to reviewers across the post-quantum transition.
HX-PQCHigh-consequence records
Preserve records that must remain independently verifiable after the originating application, vendor or infrastructure is gone.
HX-Provenance · HX-AEIRProduct demonstrations and field notes
Watch product demonstrations, evidence walkthroughs and technical briefings. Follow deployment milestones, partner developments, representation research and commercialization through HolonomiX Field Notes.
Deployments and engineering engagements
Deploy HX-Provenance in your cloud environment, arrange a customer-controlled private deployment, or qualify a product against a bounded workload and agreed evidence requirements. HolonomiX also develops bespoke software and computational engineering systems.
Bespoke software and computational engineering
An engineering inquiry can start with an architecture review or workload qualification. Identify the current system, the computational constraint, required interfaces and the evidence needed to accept the result. The founder-led technical review covers system design, deployment boundaries and integration points.
The engagement scope should identify the proposed software or model deliverables, customer integration responsibilities and validation criteria. Ownership, licensing, support and delivery terms are agreed for that engagement.