Capterra
5 stars
Rated 5/5 on G2 and Capterra

AI agents that help your sales teams sell better.

From your calls and meetings, Praiz AI agents fill in your CRM, score each conversation against your sales method, and surface recurring objections and risk signals on your deals.

AI agents for revenue teams
Trusted by 500+ teams
CRM automation

Your CRM filled in after your calls and meetings

The agents fill in the fields on your deals, contacts, and companies from what was said. Your qualification criteria are filled in after each conversation, the same way for the whole team.

✓
Your custom fields filled in, not just a note
✓
Consistent CRM hygiene for your pipeline reviews
✓
Works with HubSpot, Salesforce, and 8 other CRMs (and more via webhooks)
Explore automatic CRM updates →
CRM autofill via AI agents
Coaching and scoring

Coaching based on every conversation your team has

The agents score each call and meeting against your sales method. You know whether the whole team applies it, and what to coach each rep on.

✓
A coaching report sent to each rep, automatically
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New hires who ramp up faster
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What works for your top reps, shared with the whole team
Explore sales coaching →
Call scoring for a consistent qualification
Visibility and forecasting

What's said in your deals, without listening back to calls

The agents flag objections, competitors mentioned, and risk signals in each conversation. Praiz then groups them across all your conversations and surfaces the trends.

✓
The objections and competitors that come up most often
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An email or Slack alert when a risk signal appears
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Forecasts grounded in your conversations
Explore AI call analysis →
Sales call analysis with AI agents
N2JSoft
Lalaleads
Edflex
5 stars

“Since we adopted Praiz, our sales team has stepped up a level. Our reps now know exactly which points to adjust to improve their performance. We quickly see what works and what slows down conversions.”

Mario Roche
Mario Roche
VP Sales at N2JSoft
5 stars

“Praiz was the only solution able to fit into our specific workflows and extract quality data with AI. The platform handles our ever-growing call volume very well, and the team is always responsive and available when needed.”

Kevin Mamose
Kevin Mamose
CEO at Lalaleads
5 stars

“It allows us to instantly understand key trends from our conversations, without having to analyze it manually.”

Mathilde Rolland
Mathilde Rolland
Business Ops at Edflex
5 stars

“Praiz helped us build agents aligned with our sales priorities. We now have visibility on objections, automated coaching, and reliable HubSpot updates.”

Bastien Verwaerde
Bastien Verwaerde
Head of Sales at Octopus HACCP
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How it works

Who it's for

What Praiz changes for your teams

Agents library

Ready-made agents for your sales teams

The Deal Qualifier

Automatically assesses whether an opportunity is qualified, based on customizable qualification criteria and on what was actually said during the sales call.

Pain Points Extractor

Produces a presentation-ready list of the main challenges the prospect mentioned during the call, written concisely and factually, strictly based on their own statements.

Objection Tracker

Identifies and structures all objections explicitly expressed by prospects or customers during sales conversations.

MEDDICC Summary

Summarizes everything the prospect explicitly says about Metrics, Economic Buyer, Decision Criteria, Decision Process, Identified Pain, and Champion during a sales conversation (MEDDIC).

SPICED Summary

Summarizes everything the prospect explicitly mentioned about Situation, Pain, Impact, Critical Event, and Decision during a sales conversation.

Cold Call Scorecard

Evaluates how effectively the salesperson executed a cold call.

Competitors Tracker

Captures and structures everything prospects or customers explicitly say about competitors.

Custom AI Agent

Build a custom agent to extract, structure, and use exactly the information you need from your business conversations.
Custom agent fields
Onboarding

You're not left alone with the AI

01
Your playbook and goals as the starting point
02
Agents configured and checked with you
03
New agents when your priorities change

Query your conversations from Claude or ChatGPT

With the MCP server, the AI your team already uses answers from your calls and meetings.

Explore the MCP server ›
Which objections came up most on our deals this month?
Praiz · MCP server
Pricing and integration time come first, followed by security questions.

Works with your tools

See integrations →
FAQ

Frequently asked questions

What is Praiz?
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Praiz is software for B2B sales teams. It records and transcribes calls and meetings. AI agents then analyze each conversation: they fill in the CRM, score the conversation against your sales method, and flag objections, competitors mentioned, and risk signals.
How is Praiz different from Gong?
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Both tools record and analyze sales conversations. Praiz stands out on two points. The agents are configured for you: your fields, your sales method, your CRM. And the Praiz team configures them with you, then adjusts them based on your feedback. For a wider comparison, read our guide to Gong alternatives.
How long does it take to get started?
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Recording and transcription work as soon as your calendar and phone system are connected. Setting up custom agents takes about a month. The Praiz team starts from your goals, configures the agents, then adjusts them with your feedback.
Will my reps actually use it?
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They don't need to change their habits. Recording starts from the calendar or the phone system. The meeting summary and the CRM fields are ready after the conversation. Reps save time on data entry.
Where is data stored, and is it used to train AI?
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Recordings and transcripts are stored in France. Praiz does not train models on your data, and the AI providers Praiz uses neither store it nor use it to train their models. Subprocessors, retention periods and contractual commitments are listed in the Trust Center.

Try Praiz on your own calls and meetings.

The trial is free, and you start it yourself, with no meeting needed.