A VEX Digital Entity runs on the GPUs and infrastructure of your own organization. It leans on validated external substrates only for specific tasks, distributes its agents as local processes, and —as it learns your organism— designs its own internal applications, orchestrated from the central agent.
Traditional LLMs lose context, depend on the substrate and fail to keep continuity when the model changes. VEX closes that gap by treating identity as a stable region in latent space, induced and sustained by operational DNA, stratified memory, metacognition and evolutionary governance.
The entity runs on the organization's own GPUs and infrastructure. Open-source models hosted on-prem, data that doesn't leave the perimeter, and external substrates used only for validated specific tasks.
Improves without losing its core. Every change is auditable and reversible. No chaotic self-editing: peripheral evolution around a stable center.
Separates institutional knowledge, distilled learning, episodic memory and active context. Preserves identity patterns, not just raw content.
A self-observation operator evaluates uncertainty, detects limits and modulates response before acting. Measurable, not metaphorical.
Detects identity drift, contamination, injections and improper mutations. Reacts before the organism's integrity degrades.
Every relevant change is logged, verifiable and reversible. Compliance and internal control stop being a late patch.
The organism is split into multiple specialized agents running as coordinated local processes. Low latency, clear isolation, full control over which task uses which resource.
As it learns your organism, the entity identifies gaps and builds internal tailor-made applications —panels, flows, micro-tools, automations— orchestrated from the central agent under governance.
The entity is composed like an organism: inference core, identity DNA, living memory, self-regulation protocols, governance as nervous system, capacity for action and a cognitive immune system. Explore each layer.
The entity's core runs on your organization's GPUs. Agents are distributed as coordinated local processes. Validated external substrates are only used for specific tasks where they add real value.
Open-source models (Gemma · Qwen · DeepSeek · Llama) run on the organization's GPUs. Identity, memory and governance live inside the perimeter.
The organism is split into specialized agents —analyst, indexer, immune, operators— coordinated by a central agent. Low latency, clear isolation, governed resources.
Frontier models are only queried for specific tasks where they add value (deep reasoning, specialized vision, distillation). Every call goes through an audited egress gate.
When the task can be solved locally, the entity skips egress. The membrane controls what leaves, what returns and under which redaction —by design, not by convention.
As the entity learns your organism, it identifies recurring gaps and builds tailor-made internal applications —panels, flows, micro-tools, automations— orchestrated from the central agent under governance. Not generic features: tools born from real usage.
The entity observes usage, memory and metrics. When it detects a repeated pattern that deserves its own interface or flow, it proposes, simulates, validates and deploys. The central agent orchestrates; governance decides.
Born after 40+ manual triages. The entity detects the routine, proposes the panel, connects the support queue and defines operational severity.
Self-designedGrows out of the legal repository. Integrates regulatory RAG + internal checklist + clause memory. Approved by the Council before deployment.
Self-designedThe entity notices the CEO requests the same summary every Monday. Builds the distiller, wires it to institutional memory and schedules it.
Self-designedDetects two systems holding data nobody cross-checks. Proposes periodic reconciliation, adds observability and hands control to the human owner.
Self-designedThe entity's operational health is expressed as a product of four dimensions that sustain each other. Not isolated indicators: if one collapses, the organism stops being itself.
That's why VEX is not presented as "one more agent" but as a digital cognitive organism.
Each tier includes all the previous ones. The decision is how much autonomy and how much governance you need from day one.
A specialized entity with memory and initial integration for copilots, knowledge assistants and executive support.
An entity that learns and adapts under explicit governance, with symbolic memory and wisdom layer.
Multiple entities coordinated under a Master Chief, a governance Council and a Security Gardener.
We don't sell a demo. We deliver a calibrated and validated organism, with active governance from day one.
The proposal is especially strong in domains where a criterion error is expensive and a generic agent is not enough.
Direct answers to the typical objections that show up when an organization considers moving from standard agents to a digital entity.
Let's schedule a discovery workshop. We map a critical process, scope risks and propose the target identity for your first VEX Digital Entity.