Reconstruct What Your AI
Knew, Used, and Decided at t₀.
FlexVertex is a connected operational substrate for reconstructable AI systems.
Preserve prompts, vectors, embeddings, assets, relationships, workflow state, and temporal continuity across edge, on-premises, and cloud infrastructure — within a single connected object-oriented substrate.
Because FlexVertex maintains operational continuity directly inside the substrate itself, diverse use cases such as reconstructable AI, sovereign infrastructure, graph-native applications, temporal replay, and AI stack consolidation emerge naturally from the same architecture.
Iron Edition is free, redistributable, and deployable on a single server using Docker on macOS, Linux, or Windows.
FlexVertex Adapts to Multiple Operational Roles Without Changing Its Core Substrate
Reconstructable AI, sovereign infrastructure, graph-native applications, and AI stack consolidation emerge from the same connected architectural foundation.
For governance, auditability, forensics, and replay
Reconstruct what was known, retrieved, inferred, and decided at the exact moment an AI system acted.
Connect prompts, models, assets, operational relationships, and temporal continuity within a replayable operational substrate.
For organizations simplifying fragmented AI persistence layers
Unify vectors, graphs, documents, assets, and operational metadata within a connected substrate.
Eliminate uncorrelated AI persistence layers that gradually diverge from operational reality.
For diverse AI infrastructure and connected continuity
Unify operational state across fragmented AI infrastructure to provide consistent semantics across edge, on-premises, and cloud environments.
This connected object layer ensures lineage and temporal continuity across the entire AI stack.
For graph-native operational systems and connected applications
Develop graph-native, object-oriented applications without impedance mismatch, translation layers, or fragmented persistence models.
Relationships, documents, vectors, assets, and operational state remain fully connected within a unified substrate and traversable over time.
Start Locally.
Scale When Ready.
FlexVertex Iron Edition is free, royalty-free to redistribute, and deployable locally using Docker on macOS, Linux, or Windows.
Iron Edition provides a fully operational local environment for exploring connected objects, graph traversals, vector-native embeddings, temporal reconstruction, and multi-model persistence using standard Docker tooling.
The same operational semantics extend upward into embedded, sidecar, clustered, sovereign, and distributed deployments.
FlexVertex can also operate alongside existing systems as a connected operational sidecar — preserving context, lineage, and reconstructable state without immediate rip-and-replace migration.
Deployment Options
Local evaluation through Iron Edition
Royalty-free redistribution through Iron Edition
Embedded and on-device deployment through Titanium Edition
Sidecar deployments alongside existing systems
Cloud and hybrid infrastructure deployment
Distributed clustering through Platinum Edition