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Meddicc Score

Meddicc Score is a HubSpot-native application that automates deal qualification scoring using AI. It enforces consistent sales qualification across multiple frameworks, provides actionable feedback, and integrates directly into CRM pipeline workflows to improve sales discipline and predictability.

HQ unknown
20+ followers
Updated 10 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Sales teams often struggle with inconsistent deal qualification, leading to wasted pipeline, lost time, and frustrated Account Executives when SDRs hand over unqualified deals too early. Manual qualification processes are subjective, lack standardization, and fail to provide actionable insights that help teams improve their win rates.

Solution

Meddicc Score provides an AI-powered scoring tool that automatically calculates deal qualification scores based on factual data entered into a sales form. The application supports multiple qualification frameworks including MEDDPICC, BANT, GPCTBA/C&I, SPICED, FAINT, CHAMP, SCOTSMAN, and ANUM, allowing teams to select and customize the framework that best fits their sales process. It integrates directly with HubSpot, sourcing CRM information to automatically score the entire pipeline and keep scores continuously updated through workflows and automations. The platform is AI model agnostic, letting users choose from providers like OpenAI, Google, Anthropic, or Meta based on performance, cost, or data privacy needs, with Azure OpenAI available for enterprise-grade security.

Target Audience

Primary customers are sales teams using HubSpot, particularly SDRs, Account Executives, and sales managers who need consistent deal qualification and cleaner, more predictable pipelines.

Features

  • Automated AI scoring that calculates deal scores out of 100 based on qualification data entered in the sales form
  • Smart, actionable feedback to help improve scores and increase chances of closing deals
  • Support for multiple qualification frameworks: MEDDPICC, MEDDPICC, BANT, GPCTBA/C&I, SPICED, FAINT, CHAMP, SCOTSMAN, or ANUM with customization options
  • Native HubSpot integration with automations and workflows for continuous pipeline scoring
  • AI model agnostic architecture supporting OpenAI, Google Gemini, Anthropic Claude, and Meta Llama via Groq
  • Pipeline stage gating functionality that requires Meddicc Score completion before deals can advance to specific stages
  • Azure OpenAI option for enterprise-grade security and privacy compliance
This profile is AI-generated and may contain inaccuracies.