Five modules.
One operating layer.

Core

The single source of truth for every customer relationship.

Account memory, renewal signals, relationship history. The system that holds every customer interaction in context — and surfaces what matters when it matters. Built to coexist with HubSpot, Salesforce, Close — Core sits underneath, unifying what your CRM scattered.

• ·Account memory — every interaction, structured + searchable
• ·Renewal-signal surfacing — the moments that mattered, returned at the moments they matter
• ·Relationship history — six-month, two-year, ten-year arcs across handoffs

Connect

Conversation capture across every channel.

Calls, meetings, email — captured at the surface with no logging tax on the people doing the work. Connect is the substrate that turns the 88% of customer truth your CRM misses into structured evidence the rest of the company can read.

• ·Call transcription — full, searchable, attributed
• ·Email synthesis — what changed in the relationship this week
• ·Meeting notes — what got decided, what got committed, who owns it

Learning

Personal AI mentor + onboarding compression for every employee.

The senior advisor every employee should have but companies have never been able to afford. Reads the same evidence trail you do. Coaches with citations, not vibes. Compresses onboarding from 6-12 months to 2-3 by surfacing the playbook your senior people built — at the moment of work.

• ·Personal mentor — 24/7 coaching grounded in actual performance
• ·Onboarding paths — playbook surfacing on the work being done now
• ·Atom-level kernel — calibrated by outcome, not by user dispute

DeepTraits

The behavioral fingerprint of how each customer actually buys.

Not a generic persona. The specific shape of how this specific customer makes decisions, what they're sensitive to, when they push back. Surfaced for every team that touches the relationship — sales, success, support — so the company speaks one voice, customer by customer.

• ·Buyer profiles — decision style, sensitivity flags, approach modeling
• ·Pattern matching — across accounts to surface what's working where
• ·Cross-team handoff briefings — every owner walks in fully briefed

Flow

Operating cadence — the patterns that define a high-performing month.

Most companies operate on a quarterly cadence and miss what changed week to week. Flow surfaces the rhythm of high-performing operators — what a strong week looks like, what a slipping month looks like, where the leverage is — across your team and your AI agents.

• ·Weekly rhythm — the pattern of a strong week, returned as a check
• ·Quarterly arc — early-warning on slip, not post-mortem
• ·Annual compounding — the same evidence reads forward in time