Penta Atlas

Five dimensions, not a sentiment score

Each emotional moment in a conversation is captured as emotion, intensity, trigger, trajectory and need. Across conversations those moments become a relationship map: where trust was tested, what was promised and where a decision is forming.

A brief before every conversation

Promises, open needs and the trajectory of the relationship are condensed into a brief, so wealth managers, real-estate agents and auto-sales professionals start the next contact already knowing what matters to the customer.

Built beside the CRM

Penta Atlas is a standalone application designed to sit next to systems such as HubSpot and Salesforce. Customer records carry external source identifiers and CRM values are stored as labelled rows, so future connectors and in-CRM apps fit without a redesign.

Governed AI by design

Every model call runs through a single governed prompt layer with the model recorded on each prompt record, managed in a versioned Prompt Library with a test bench. The admin layer is planned around a full CRM, guardrails and TorqueSight process intelligence, following the ReadingScout reference architecture.

Privacy as a product rule

The platform works only from transcripts a business already has: no call recording, no speech-to-text and no grading or coaching of the professional. Every customer row is workspace-scoped so a workspace can later move to its own tenant.

How the work comes together.

Built through AI-SDLC with a phased Lovable build plan: AI-assisted implementation paired with human architecture and review. Penta Atlas is in active development — the public site is a coming-soon preview and the demo is invitation only.

• Five-dimension emotional analysis
• Cross-conversation memory
• Versioned Prompt Library
• TorqueSight
• Workspace isolation
• Installable PWA