Pillar Two - Intelligence

The Intelligence Model

Proprietary, self-hosted, and completely isolated from the outside world. The models run inside your isolated environment on the PanOps platform, not anyone else's.

Architecture

Core Specifications

The Signal™ models are open weights AI models deployed and run entirely within the platform boundary. It is provisioned and managed by PanOps on your behalf, but your data never leaves the infrastructure.

Hosting
Self-Hosted Architecture
The models run on compute inside your and PanOps cloud environment. Inference is contained solely to this environment. No query, prompt, or response is transmitted outside of this infrastructure. Your data stays where it is.
Data Isolation
Zero External Transmission
Your encryption keys are customer-owned. PanOps holds the controlled operational access needed to run the service - never cross-customer access. The architecture is designed to make external access impossible - not just contractually prohibited. Isolated compute with no outbound data paths for communications or query content.
Performance
Benchmarked Performance
The Signal™ models have been evaluated against leading commercial models on organizational intelligence tasks specific to this use case, not general benchmarks.
Roadmap - Phase 3
Enterprise Dedicated Tier
A dedicated model instance per customer - separate compute, separate weights storage - available in Phase 3 for organizations in regulated industries or with strict compute isolation requirements beyond the standard architecture.
Architecture Detail

How the Shared Model Architecture Works

The standard PanOps deployment uses a shared model weights approach with fully isolated customer data. This is the same pattern used by nearly every self-hosted enterprise AI deployment.

Architecture - Standard Tier
Shared
Model weights - the underlying AI model parameters are the same across customer deployments. The model itself is not personalized per customer.
→
Isolated
All customer data - your communications archive, query history, embeddings, and persistent memory are stored and processed only in your environment. No cross-customer data access is possible.
Shared
PanOps-managed model updates - PanOps deploys model updates into your environment as improvements are made. You can defer updates if needed.
→
Isolated
Your encryption keys - all stored data is encrypted under keys you control. PanOps has no key material and cannot decrypt your data.
Memory

Persistent Memory Architecture

PanOps builds an organizational memory over time - drawing on prior queries, identified patterns, and accumulated context. Memory is stored within your isolated environment and never leaves it.

Session Memory
Context Across Queries
Signal™ tracks what has been asked before. Prior queries inform new answers - so you don't repeat context and responses grow more precise over time as the system learns your organization's patterns and terminology.
Organizational Memory
Builds Continuously
The PanOps system identifies recurring topics, relationships, and threads across your organization's communications. This organizational context accumulates over time and surfaces patterns a single query wouldn't reveal.
Technical Notes

Implementation Details

For teams doing technical diligence on the model architecture.

Embedding Pipeline
The embedding pipeline runs entirely within your cloud environment. Communications are embedded locally - no third-party embedding API. Vector storage is isolated per customer.
Transcription
Audio transcription for voice and video connectors uses a self-hosted open-source transcription and translation pipeline deployed inside your isolated environment. No audio is sent to external transcription services.
Inference Models
Signal™ uses PanOps-hosted AI models - an open-weights model tuned and validated for organizational intelligence tasks. Specific model identifiers are not disclosed in public documentation.
No External APIs
No third-party model APIs are called at any stage - not for inference, embedding, transcription, or summarization. The entire pipeline runs on self-hosted components inside your environment.

Understand how the security architecture works.Data isolation, encryption, and the controlled-access model - in full detail.

View Security Architecture
Deployment
Each customer runs in a dedicated, isolated environment within the PanOps platform - provisioned and managed by PanOps. Your data is architecturally separated from every other customer and never leaves your isolated environment without your knowledge.
Intelligence Model
PanOps-hosted AI models - deployed and managed inside your isolated environment on the PanOps platform. All models that process your data run entirely within the platform boundary. 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.