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.
Solutions
PMO1 builds sovereign, autonomous agent ecosystems that solve your hardest business problems—securely, locally, and reliably.
Engagement Model
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How Our Agents Work: The Architecture
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Rapid Proof of Value
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FAQs
How does PMO1 structure an AI Agent engagement?
We are flexible and work with to design a custom approach. In general, We follow a three-phase "Build-Operate-Transfer" model.
Phase 1: Diagnostic & Blueprint: We map your data landscape and identify high-value use cases.
Phase 2: Pilot & MVP: We deploy a functional agent on a "thin slice" of your data to prove value.
Phase 3: Industrialization & Scale: We harden the infrastructure, integrate full datasets, and hand over operations to your internal CoE.
Can we start with a Proof of Concept (PoC)?
Yes, but we prefer the term "Proof of Value" (PoV). A PoC proves it can work; a PoV proves it creates value. Our PoVs are time-boxed and designed to be "production-ready," avoiding the common trap where throwaway prototype code needs to be completely rewritten for scale.
Which Large Language Models (LLMs) do you deploy?
We are model-agnostic but opinionated about open-weights. For example, we might deploy Llama 3 (70B/8B) and another model for technical tasks. We benchmark models against your specific use case to optimize the trade-off between latency and intelligence.
Do you use proprietary or open-source frameworks?
YWe prioritize Open Source. We build on industry standards like LangChain, LlamaIndex, and Hugging Face. This ensures you are not locked into a "Black Box" proprietary platform. You own the code and the configuration.
Do you support Hybrid Cloud deployments?
Yes. While we specialize in on-prem, we can architect Hybrid solutions where sensitive data (Strategy/HR) stays on local GPUs, while non-sensitive, high-volume requests are routed to private cloud endpoints (Azure OpenAI/AWS Bedrock) to manage burst capacity.
