The product

One intelligence layer across the commercial function.

Four agents and a QnA engine on top of the CRM and BI you already run. Deploy one or all four, scoped to your divisions and brands.

The product · 4 AI agents

One intelligence layer, four jobs it does end to end.

Deploy one or all four. Each agent takes a few structured inputs and returns a decision-ready answer, not a dashboard to interpret.

Head of Sales · NSM · ZBM

Employee-level performance against budget, doctor coverage gaps, missed doctors, and CRM activity, ranked.

“Pune HQ-2 is 18% under budget. 3 reps account for 71% of the gap.”

Brand Managers · Marketing Heads

Territory brand analysis that joins internal sales with IQVIA market data, and auto-builds the MR pitch deck.

“Share held at 12.4%. The dip is coverage, not the market.”

MRs · L&D · Trainers

Product knowledge, detailing technique, objection handling, and doctor-specific call preparation, on demand.

“Prep for a skeptical cardiologist: lead with the CVOT endpoint.”

Leadership making the call

Drills Division → Brand → Territory → Rep and separates the actual cause from the symptom.

“Not price. Not market. 23 A-class doctors went uncovered.”

Platform

QnA engine

Ask in plain language; get a structured analysis back, not a chatbot guess. Conversational trigger, defined output.

Data Health

Visibility into data quality and completeness, so you trust the answer before you act on it.

Zero-persistence

No client data stored server-side by default. The architecture, not a toggle.