Winn.ai vs Airspeed: Real-time Notes vs Revenue Execution AI
The conversation intelligence market offers tools for various needs. Winn.ai excels at live meeting assistance, capturing notes, and updating CRM fields during calls. Airspeed, however, focuses on comprehensive post-call automation, deal intelligence, and AI agents that drive entire revenue workflows. This comparison clarifies whether your team needs a real-time note-taker or a full revenue execution platform.
Quick Snapshot
Which one is right for you? Skim this in 10 seconds.
Feature-by-Feature Comparison
The decision layer - see exactly where each platform wins.
Winn.ai: A Closer Look
Winn.ai entered the market as a real-time AI assistant for sales calls, founded in 2022. Its primary value proposition is reducing the cognitive load on reps during live conversations by providing real-time guidance, surfacing relevant talk tracks, objection responses, and filling CRM fields. This proactive approach differentiates it from many traditional conversation intelligence tools that focus on post-call analysis. Winn.ai aims to standardize sales processes and improve data hygiene by ensuring reps adhere to playbooks and critical information is captured in real-time.
Strengths
- + Real-time note assistance and guidance during live calls, allowing reps to focus on the conversation.
- + Live CRM field population during calls, significantly reducing post-call administrative tasks.
- + Customizable playbooks for major sales methodologies (MEDDIC, SPICED, BANT) to ensure consistent execution.
- + Automated summaries and follow-up emails generated post-meeting, saving time.
- + Strong integrations with major CRMs (Salesforce, HubSpot) and communication platforms (Zoom, Teams, Google Meet, Slack).
- + Proven impact on win rates (Deel saw 33% increase) and CRM fill rates (Deel saw 73x increase).
Weaknesses
- - Limited post-call automation; the product's primary value ends when the call does.
- - No advanced deal intelligence, qualification scoring, or risk flagging beyond basic playbook adherence.
- - Limited analytics for managers and RevOps teams, lacking multi-meeting insights or keyword tracking.
- - No comprehensive AI coaching or performance scorecards for reps based on historical data.
- - Does not offer video recording of meetings.
- - Higher cost compared to some entry-level tools, with no free plan beyond a 14-day trial.
- - Limited user feedback and reviews as a newer tool.
Best for: Individual sales reps and small to mid-sized teams who prioritize real-time in-call assistance, live guidance, and immediate CRM updates to reduce cognitive load and administrative burden during and directly after calls. It's ideal for organizations focused on strict playbook adherence and improving data hygiene in real-time.
Airspeed: What Makes It Different
Airspeed is designed as an AI copilot for B2B sales teams, focusing on the entire deal lifecycle, particularly what happens after the call. Founded by researchers from Google DeepMind and Apple, Airspeed leverages advanced AI to process customer interactions from all channels, transforming unstructured data into structured, actionable insights. Rather than just assisting during the call, Airspeed processes every conversation in under 5 minutes, extracts qualification data, generates follow-up emails, scores rep performance, and runs AI agents that monitor deal health and execute revenue workflows autonomously. This approach aims to provide deep deal intelligence, scalable coaching, and extensive automation to drive revenue execution.
Key Differentiators
- → Processes calls in under 5 minutes, delivering complete summaries, action items, and CRM sync rapidly.
- → Multi-LLM architecture (Claude, GPT, Gemini) and dynamic LLMs ensure the best model is used for each task and continuously learns from real-world data.
- → Extracts qualification frameworks (MEDDIC, BANT, SPICED) directly from conversations and writes them to CRM fields automatically.
- → AI coaching scorecards evaluate every rep on every call against custom methodologies, identifying skill gaps and strengths.
- → AI Agents (Deal Execution, Insights, Outbound, Coaching) monitor pipeline health, flag at-risk deals, trigger follow-up workflows, and execute complex tasks autonomously.
- → Comprehensive competitive intelligence, including battlecards and competitor mention tracking with trend analysis.
- → Deep multi-call and account intelligence, providing account-level insights across all conversations and deal-specific views.
How It Works
After each sales call, Airspeed processes the recording and transcript in under 5 minutes using its multi-LLM architecture. It extracts deal qualification data based on chosen frameworks, generates a detailed summary with action items, drafts a contextual follow-up email, and syncs all relevant information to Salesforce or HubSpot with extensive custom field mapping. AI scorecards automatically evaluate rep performance. Continuously running AI agents then monitor deal health, flag risks, and surface coaching moments across the team, automating revenue workflows.
Real Outcomes
Real Workflow Comparison
See what actually happens in day-to-day sales execution.
After a Sales Call
Post-Call Automation & IntelligenceReps receive an auto-generated summary and follow-up email. CRM fields are updated with data captured during the call. The rep still needs to manually review the call for deeper insights or coaching opportunities.
Within 5 minutes, the rep receives a comprehensive summary, action items, and a drafted follow-up email. CRM is automatically updated with structured qualification data (MEDDIC/BANT), and AI scorecards evaluate rep performance. AI agents begin monitoring the deal for risks.
Updating CRM
Real-time vs. Post-call DepthWinn.ai populates up to 25 CRM fields (Pro plan) in real-time during the call, reducing manual entry.
Airspeed dynamically syncs extensive custom fields post-call, automatically creates new contacts/leads, and writes detailed call notes to CRM objects, ensuring A-grade data quality without rep intervention.
Identifying At-Risk Deals
Proactive Deal MonitoringWinn.ai's focus is on in-call execution and playbook adherence. It provides limited reporting and analytics, and does not offer specific features for identifying at-risk deals based on multi-call intelligence or sentiment analysis.
AI agents continuously monitor pipeline health, extracting deal qualification data, sentiment, and identifying potential risks across all conversations related to an account, proactively flagging at-risk deals.
Coaching Sales Reps
Live Prompts vs. Data-Driven Skill DevelopmentWinn.ai offers live coaching during calls (Enterprise plan), suggesting next best lines or responses. It does not provide post-call performance scorecards or in-depth analysis of rep skills.
Airspeed generates custom methodology scorecards for every rep after every call, evaluating performance against specific skills. Managers gain clear visibility into skill gaps and strengths, enabling targeted, data-driven coaching and AI sales roleplay.
What Sales Teams Say
“Winn.ai has been a game-changer for our reps during live calls. They can truly focus on the conversation, and the CRM updates automatically. It's made a huge difference in reducing busywork.”
Sarah J.
Sales Manager, Mid-size SaaSvia G2
“We needed more than just a note-taker. Airspeed's ability to score deals, automate follow-ups, and give us deep insights into why we win or lose has transformed our sales process. The AI agents are truly next-level.”
David C.
Head of Revenue Operations, Enterprise Softwarevia LinkedIn
“While Winn.ai is great for real-time help, we found ourselves still needing to manually dig for insights after the call. It's excellent for basic CRM hygiene, but for strategic coaching and pipeline management, it falls short.”
Mark T.
Account Executive, Tech Startupvia G2
“Airspeed has significantly shortened our sales cycles and improved our CRM data quality. The automated MEDDIC extraction and custom coaching scorecards mean our team is always improving, and our pipeline visibility is unmatched.”
Emily R.
VP of Sales, Growth Stage Companyvia Public Review
Which One Should You Choose?
Choose Winn.ai if...
- Your sales reps need real-time, in-call guidance and prompts to stay on methodology.
- Your priority is to automate basic note-taking and CRM field population during live calls.
- You have a smaller team or budget and need an affordable entry point for live call assistance.
- You value immediate feedback and assistance for reps to reduce cognitive load in the moment.
Choose Airspeed if...
- You require comprehensive post-call automation, including detailed summaries, action items, and contextual follow-up emails.
- You need deep deal intelligence, including automated qualification scoring (MEDDIC/BANT) and risk flagging across the entire pipeline.
- You want scalable, data-driven AI coaching with custom scorecards to identify skill gaps and improve rep performance over time.
- You are looking for autonomous AI agents to execute complex revenue workflows, monitor deal health, and trigger actions without manual intervention.
- You need robust multi-call and account-level intelligence to understand customer journeys and optimize GTM strategy.
- You prioritize A-grade CRM data quality and extensive bidirectional sync with custom field mapping.
Frequently Asked Questions
How does Winn.ai's real-time guidance compare to Airspeed's post-call intelligence?
Winn.ai focuses on providing live prompts and playbook adherence during calls, helping reps in the moment. Airspeed, conversely, processes calls in under 5 minutes to deliver deep post-call intelligence, including deal scoring, coaching insights, and automated workflows, focusing on strategic execution after the conversation.
Can Winn.ai provide deal intelligence like Airspeed?
Winn.ai offers customizable playbooks for sales methodologies like MEDDIC or BANT to guide reps during calls, but it does not automatically extract, score, or provide advanced deal intelligence or risk flagging from conversations like Airspeed does. Airspeed is built for comprehensive deal analysis and pipeline health.
What are the key differences in CRM automation between Airspeed and Winn.ai?
Winn.ai excels at real-time CRM field population during calls, reducing immediate post-call admin. Airspeed provides dynamic, extensive post-call CRM sync, including automatic contact/lead creation, custom field mapping, and writing detailed call objects, ensuring richer and more structured data for the entire deal lifecycle.
Does Winn.ai offer AI coaching and performance scorecards for sales reps?
Winn.ai offers live coaching during calls as part of its Enterprise plan, providing in-the-moment suggestions. However, it does not provide the comprehensive post-call AI coaching, custom methodology scorecards, or skill-gap analysis that Airspeed offers to track and improve rep performance over time.
What are the typical pricing models for Airspeed and Winn.ai?
Winn.ai offers a Pro plan at $69/seat/month (billed annually) and custom Enterprise pricing (minimum 20 seats). Airspeed's pricing is estimated to be in the $100-200/user/month range, with exact pricing available upon contact, reflecting its broader scope of features and automation.
Which platform is better for multi-call and account-level insights?
Airspeed is designed with multi-call and account intelligence in mind, providing deal-specific views and insights across all conversations related to an account. Winn.ai's analytics are more limited, focusing primarily on individual call execution rather than aggregated account-level trends or pipeline health.
See how Airspeed works in your workflow
Join revenue teams at Foleon, Qdrant, and PriceFX who automated their sales execution with Airspeed.