Turn Sales Skills into Measurable Revenue Performance
April 2, 2026

Publié
23/4/26
[Paris, France | March 2026]
muchbetter.ai, the AI-powered conversational training platform enabling organizations to transform skills into measurable performance, has been recognized as a 2026 G2 Rookie of the Year.
The distinction highlights emerging software companies that are making a strong first impact based on verified customer reviews on G2, the world’s leading software marketplace.
Since launch, muchbetter.ai has focused on one core thesis: commercial performance does not improve through content consumption alone, it improves through structured practice, repetition, and measurable feedback.
Organizations using muchbetter.ai have implemented AI-driven simulations and structured coaching environments to:
muchbetter.ai enables companies to move from episodic training programs to continuous, data-driven skill development. By combining AI simulations, automated scoring, and performance insights, the platform helps organizations industrialize conversational excellence across teams. The 2026 Rookie of the Year recognition signals growing market demand for measurable, structured performance systems rather than one-off learning initiatives.
“This recognition is meaningful because it comes directly from our customers,” said Julien Heissat, CEO of muchbetter.ai. “It validates our conviction that excellence is not a talent issue, it is a system design challenge. We are grateful to the teams who trusted us early and continue to push us to raise the standard.”
muchbetter.ai is an AI-powered conversational training platform designed to transform commercial skills into measurable business performance. Through immersive simulations, structured feedback loops, and data-driven coaching insights, the company enables organizations to standardize, measure, and continuously improve conversational excellence at scale.

An AI sales training platform helps sales teams improve skills through guided practice, feedback, and repeatable training workflows. Instead of relying only on theory, reps can train with realistic scenarios, get coaching recommendations, and track progress over time. The goal is faster onboarding, stronger messaging, and better performance in real customer conversations.
Most AI sales training platforms combine structured learning paths with interactive practice. Reps train with scenarios (discovery, objections, demos), receive feedback on what to improve, and managers can monitor readiness with scorecards. The platform typically supports onboarding, continuous coaching, and certification gates to validate skills before reps go live.
It’s designed for sales leaders, enablement, and L&D teams who want consistent training at scale. It’s also useful for SDRs, AEs, and customer-facing teams that need to ramp quickly, practice messaging, and improve performance without depending solely on ad-hoc manager time.
AI sales training isn’t a replacement for managers, it’s a way to standardize and scale practice. Traditional training often focuses on content (slides, playbooks). An AI sales training platform adds structured repetition, feedback loops, and measurable progress, helping teams move from knowledge to real execution faster.
Common use cases include discovery calls, objection handling, qualification, negotiation, demo delivery, and follow-up messaging. Many teams also use AI training for onboarding, product updates, new pitch rollouts, and role-specific readiness (SDR vs AE). The best platforms support continuous improvement, not one-off workshops.
Yes. A strong AI sales training platform accelerates onboarding by giving reps clear weekly milestones, guided practice, and certification gates. This helps reduce time-to-first-meeting and time-to-first-opportunity, while giving managers visibility into readiness, so coaching is targeted instead of generic.
ROI is typically measured through ramp time reduction, improved conversion rates, higher win rates, shorter sales cycles, and better call quality. Many teams also track training completion, certification scores, and manager coaching hours saved. The most important metric is consistent performance improvement across the team, not just top reps.
No. It supports managers by automating practice routines and surfacing clear coaching signals. Managers stay focused on strategy, deal coaching, and real performance conversations, while the platform helps reps build skills through repeatable training and feedback between 1:1 sessions.
Look for realistic practice scenarios, clear feedback that reps can act on, manager dashboards, onboarding workflows, and easy content updates for messaging changes. Also check how the platform supports certification and continuous training, not just one-time sessions. Adoption is usually driven by simplicity and time-to-value.