Six pillars, one workspace: models, knowledge, agents and governance working together on your hardware.
Drag in PDFs and DOCX files. PMO1 automatically parses, chunks, embeds and indexes them — then answers with citations back to the source text.
The Model Hub connects local runtimes — GGUF, Ollama, LM Studio — with hardware-aware inference, plus opt-in cloud providers when you want them.
Personal, Work and Research workspaces out of the box. Documents, indexes and chat history stay strictly separated per workspace.
Declarative agents with lifecycle controls, entitlements and policy checks — executed through a single governed runtime plane, not ad-hoc scripts.
Tools, resources and prompts converge on one governed gateway. Remote MCP is prohibited by default — your tools stay under your control.
Default-deny network egress, an append-only signed audit log with integrity checks, and no telemetry unless you explicitly opt in.
Privacy is the default state, not a setting you have to find.
All data is stored on your device. Cloud providers are opt-in extensions and never block core functionality.
Every outbound connection is evaluated against policy before it happens. Nothing leaves your machine without permission.
The audit trail is append-only, signed and hash-chained — with integrity verified at every startup.
Analytics are disabled out of the box and require explicit opt-in — anonymized and aggregated only.
A meticulous approach to enterprise AI alignment, long-term velocity, and architectural freedom.
We don't just ask, "Can we build it?" We ask, "Should we build it?" We align every line of code with your P&L objectives, ensuring clear ROI and strategic utility.
We utilize modular agent frameworks that allow for rapid prototyping and deployment. We typically move from "Concept to Pilot" in weeks, not months, allowing for iterative value realization.
Escape the Token Tax. Break free from unpredictable, usage-based SaaS pricing. Scale AI adoption without scaling your monthly bill.
The AI landscape shifts weekly. We build agnostic infrastructures that allow you to swap underlying models (e.g., Llama to Mistral) as technology advances, protecting your investment from obsolescence.
Our engagement is led by seasoned experts who understand the gravity of enterprise decision-making and the nuance of change management.
In a world of cloud dependency, we offer independence. You own the model, you own the weights, and you own the data. We hand over the keys, ensuring you are never locked into a single vendor ecosystem.
PMO1 unifies local & cloud LLMs, zero-config RAG over your documents, and a governed agent runtime in one private desktop app. Your data never leaves your machine.
Secure, deterministic, and isolated frameworks engineered for private industrial automation.
Keep data completely under your control with air-gapped, fully localized systems.
Deploy persistent, self-governing processes that execute multi-step business logic independently.
Eliminate hallucinations using secure, schema-aware multi-source context indexing engines.
Optimize models dynamically for industry-specific nomenclature and custom compliance taxonomies.
Unify background agent frameworks across legacy systems via standardized gateway runtimes.
Establish automated loop validation triggers for ongoing fine-tuning and error mitigation.
Enforce continuous intent-verification loops across every user, agent, and API call.
PMO1 is the on-premise Local AI Agent Suite engineered for high-speed execution on your hardware. By eliminating cloud latency and data leakage risks, PMO1 drives immediate efficiency gains and slashes operational costs.
