A PLM Node is a private knowledge and AI operations environment that lets a person or organization capture expertise, query trusted Professional Language Models, and run agent-native workflows without handing sensitive work over to generic public AI systems.
Nodes can be sized for an individual founder or scaled into dedicated enterprise infrastructure with private knowledge storage, private inference, Sqwibbl computer-use agents, and governance controls.
Personal nodes • Enterprise nodes • Cloud and on-premise deployment paths
A PLM Node is a secure environment for creating, storing, querying, and operating with Professional Language Models. It combines curated knowledge, retrieval, AI reasoning, and agent-ready tools so expertise can be preserved and used again.
A Personal PLM Node is the gateway product for solo founders, consultants, creators, executives, and small teams. It gives one person a practical node on the PLM Network without requiring dedicated hardware.
An Enterprise PLM Node is private AI infrastructure for organizations that need data sovereignty, governance, and institutional knowledge capture. It is designed to preserve tribal knowledge, power internal AI workflows, and keep proprietary data under organizational control.
The result is AI that understands the work, respects the boundary around the data, and can participate in the agentic web through machine-readable manifests, trusted tools, and PLM Network connectivity.
PLM Nodes are offered as one product family in multiple sizes: a Personal PLM Node for individuals and gateway pilots, plus Enterprise PLM Node tiers for cloud or on-premise deployment. Commercial terms are handled through consultation so each deployment can match the client’s data, governance, model, and infrastructure needs.
Best for solo entrepreneurs, consultants, micro-agencies, executives, and pilot use cases before a larger enterprise rollout.
Dedicated cloud infrastructure for organizations that want fast deployment, managed operations, and private AI capacity without installing on-premise hardware.
Owned infrastructure for organizations with strict compliance, privacy, latency, or data-sovereignty requirements.
Enterprise PLM Nodes can run on dedicated cloud or on-premise infrastructure so proprietary knowledge remains inside the client-controlled environment.
Convert research, SOPs, documents, decisions, and senior-employee expertise into private PLMs that can be queried across the organization.
Sqwibbl agents can operate real workflows while requiring explicit human approval before consequential actions such as sending, submitting, or changing files.
Enterprise tiers align hardware to workload needs, from efficient E4B deployments through larger 12B, 26B, and 31B-class configurations.
Nodes support the shift toward autonomous AI consumers through discoverable manifests, trusted tool surfaces, identity, and verification.
Enterprise deployments can include role-based access, audit logs, encryption, retention controls, and privacy boundaries for sensitive knowledge.
PLM Nodes are designed for founders, professional firms, healthcare organizations, financial and legal teams, engineering companies, research groups, and enterprise operators preparing for the decentralized intelligence economy.
Start with a Personal PLM Node, or plan a private Enterprise PLM Node for your organization.
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