Specifications — Overview

AI Models

PanOps deploys open-weight frontier AI models, configured and post-trained specifically to answer CEO queries about their organization. Not general-purpose assistants — purpose-built instruments that deliver direct, precise answers grounded in your organization's actual communication data.

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How It Works

When the CEO asks a question, PanOps retrieves the most semantically relevant communication records from the database using vector similarity search — then passes those records as context to the language model along with the query. The model answers based on actual data, not on general knowledge. If the answer isn't in the data, the model says so.

Model Behavior

The AI operates with a tightly configured system prompt that defines its role as a CEO intelligence analyst. Key behavioral constraints:

  • Direct, precise language — no hedging, no filler phrases
  • Never fabricate — if information is absent from the data, state that clearly
  • No unsolicited citations — the CEO wants answers, not footnotes (citations available on request)
  • No unnecessary clarifying questions — only ask if the query is genuinely ambiguous
  • Channel scoping supported — CEO can instruct the model to focus on specific platforms or people
  • Session memory — follow-up questions within a session retain context from earlier turns

AI Model Architecture

Production
Self-Hosted Inference
Open-weight models trained and fine-tuned by PanOps, running on PanOps-operated GPU infrastructure inside your cloud environment. No customer data ever leaves the PanOps infrastructure boundary. Full data-sovereignty guarantee is in effect.
Enterprise Roadmap
Dedicated Per-Customer Model Instance
A fully dedicated model instance provisioned per customer account — for organizations requiring complete inference isolation. Available as a Phase 3 upgrade.

What “Self-Hosted” Means for Your Data

PanOps runs open-weight AI models on its GPU infrastructure — not via any third-party API. Your communication data stays inside the PanOps infrastructure boundary at every point in the query pipeline: retrieval, inference, and response delivery.

This is a technical guarantee, not a contractual one. No API call is ever made to OpenAI, Anthropic, or any external inference provider. The model has been evaluated against GPT-4o and Claude baselines before being deployed into production.

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Deployment
Runs entirely within your own cloud environment, which is provisioned and managed by PanOps. No data ever leaves your infrastructure.
Intelligence Model
PanOps-hosted AI model — deployed and managed inside your cloud environment. By design, no customer communications data is transmitted to any external service or third-party API.
CEO Signal™ Interface
Ask any question about your organization. Receive answers sourced from real communications.