Sales Intelligence · RevOps

Vectro AI

Mines sales calls, email, and Slack for signal using MEDDIC / BANT / SPIN. Saves sales teams 10–15 hrs/month on call review and CRM entry.

Tech Stack:Node.jsTypeScriptOpenAIVector DB

The Problem

Sales leaders know valuable intelligence is buried in every call and email their team has, but nobody reviews it, and manual CRM data entry is the single most hated task on every sales team. Generic call-recording tools produce transcripts; they don't produce organisation-specific insight aligned to how a particular company runs its pipeline.

The Solution

Apex36 built a multi-channel AI platform that analyses sales communications (calls, emails, Slack) and extracts organisation-specific intelligence: deal health, objections, pain points, rep performance, and coaching opportunities. Framework-driven classification (MEDDIC, BANT, SPIN) auto-populates the right CRM fields from the right conversations. Human-in-the-loop insights feed product and marketing teams so PMs and PMMs can mine customer voice for roadmap and collateral decisions.

Features

Automated call scorecards

Customised calibration reports aligned to each org's qualification criteria.

MEDDIC / BANT / SPIN auto-CRM updates

Framework-driven classification pulls the right fields from the right moments in each conversation and writes them back to the CRM.

Objection & pain-point tracking

Aggregated across every customer conversation, not one call at a time, so themes surface cross-pipeline.

Deal-health and seller-performance

Identifies which deals are slipping and which reps need coaching, grounded in actual conversation evidence.

Human-in-the-loop PM / PMM insights

Product managers and marketers can mine customer voice directly for roadmap and collateral decisions.

Multi-channel aggregation

Calls, emails, and Slack combined into one pane of glass for the revenue team.

Results / Impact

10–15 hrs saved per month

per user (Ascend Head of Retail Sales testimonial).

MEDDIC / BANT / SPIN

frameworks applied automatically to populate CRM fields.

Multi-channel aggregation

calls, email, Slack in one intelligence pane.

Propelo CEO testimonial

on identifying objections and pain points for collateral creation.

FAQ

Users report 10–15 hours per month saved on call review and manual CRM entry (Ascend Head of Retail Sales, on-site testimonial).

MEDDIC, BANT, and SPIN, applied automatically by the AI layer to populate the right CRM fields from the right moments in each conversation.

Sales calls, email, and Slack, aggregated so insights span the full customer relationship rather than single, isolated calls.

Apex36. The project is Apex36's flagship proof-point for multi-channel LLM analysis feeding structured CRM output.

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