Why Airspeed
Why teams switch to Airspeed
Intelligence
See which deals are real
Airspeed reads the whole conversation, not just keywords, and turns it into structured deal and revenue intelligence. You see which deals are real and which are quietly slipping.
Agents
Agents do the busywork
The recap, the CRM update, the follow-up draft: Airspeed agents run the post-call work in minutes, so reps stay in the deal instead of the data entry.
Coaching
Coaching on every call
Every rep scored on every call, automatically, against the moments that actually win deals. No manager staying late to review recordings.
CRM automation
Your CRM fills itself
Fields, notes, and next steps written back to Salesforce or HubSpot after every call, with dynamic mapping to your own fields.
Forecasting
Forecasts built on what buyers said
Every deal gets an AI close probability grounded in the calls themselves, rolled up into team forecasts you can defend. Commit, best case, and pipeline in one live view.
What to watch for
Signal coverage and scoring quality: does it read calls, email, calendar, and CRM activity to score every open deal across many leading-indicator signals, or does it just read the CRM stage?
Automatic activity capture and CRM fit: native, no-manual-entry capture and field-level sync for your system of record (Salesforce or HubSpot), since deal intelligence is an analytical layer on top of the CRM
Forecast accuracy and methodology: bottom-up AI or behavioral forecasting that removes rep-submission bias, with scenario modeling and a documented accuracy lift
How did we choose and rank these tools?
Deal intelligence is the opportunity-level scoring and risk layer that sits between call-level conversation intelligence and the broad revenue-intelligence umbrella. We tested each platform hands-on and read it against vendor documentation, public pricing, and verified user reviews. We scored on what matters to the people who run pipeline (CROs, RevOps, and sales leaders), not on feature-count checklists.
- Signal coverage and deal-health/win-probability scoring quality across calls, email, calendar, and CRM activity
- Automatic activity capture and depth of CRM integration (Salesforce and HubSpot)
- Forecast accuracy and methodology: bottom-up behavioral forecasting that removes rep-submission bias
- Fit to deal-cycle length and company segment (SMB, mid-market, enterprise)
- Action vs. observation: alerting, play routing, and agentic automation on risk signals
- Pricing transparency, total cost of ownership, implementation timeline, and adoption design
Sources: Vendor documentation and pricing pages, reviewed June 2026; G2 and Capterra reviews and ratings; Third-party pricing aggregators (Capterra, SalesHive, Vendr-style estimates), June 2026; 2026 buyer-facing deal-intelligence comparison guides and category explainers.
8 alternatives, ranked
Airspeed
AI-native GTM execution platform that turns every sales conversation into deal intelligence and autonomous CRM action.
- Deal scoring and risk signals are framework-aware (MEDDIC/BANT/SPICED) and give you a precise reason plus a next step, not just a red flag
- Field-level CRM auto-sync to Salesforce and HubSpot (20+ fields populated from calls), which removes manual data entry and saves reps 5-10 hours per week
- Pipeline inspection that layers conversational context, activity recency, qualification gaps, and deal risk onto every opportunity
Gong
Revenue intelligence platform that captures and analyzes every customer interaction to drive forecasting, deal health, and coaching.
- The deepest conversation intelligence on the market: automatic recording, high-accuracy transcription, talk-ratio, sentiment, and AI-surfaced moments
- Deal scoring grounded in real activity rather than rep optimism; Deal Likelihood pulls from hundreds of signals to flag at-risk deals early
- Turns coaching from subjective to data-driven; custom Trackers surface team-wide patterns across every transcript
The catchExpensive and opaque: no public pricing and a three-part bill (per-user + platform fee + onboarding); cost is the single most common G2 complaint
Clari
Enterprise revenue platform that unifies forecasting, pipeline inspection, and AI deal intelligence (RevAI).
- Forecasting accuracy is the standout strength; reviewers commonly report a 20-30% forecast-accuracy improvement after full adoption
- Strong pipeline inspection and revenue-leak detection across CRM, email, calendar, and call data in one RevDB
- Mature enterprise feature set with multiple AI agents (Opportunity Scores, Deal Inspection, Ask Clari) for risk flagging and next steps
The catchHeavy RevOps maintenance tax; reviewers report mid-size deployments consuming 10-15 hours/week of admin time
Aviso
End-to-end AI revenue platform unifying forecasting, deal/pipeline intelligence, conversation intelligence, and agentic RevOps automation.
- Strong, data-driven forecasting that reviewers credit for more accurate forecast calls; markets 98%+ accuracy via its AI WinScore model
- Deep pipeline and deal drill-downs with multi-hierarchy rollups, easier to work than native Salesforce dashboards
- Broad single-platform scope (forecasting, deal/pipeline intelligence, conversation intelligence, coaching, agentic AI) that cuts tool sprawl
The catchCRM sync is a recurring pain point: delayed or inconsistent Salesforce syncing and occasional data mismatches
BoostUp (now Terret)
AI revenue intelligence and forecasting platform (rebranded to Terret in 2025) unifying deal/pipeline data, machine forecasting, and conversation intelligence.
- Strong, accurate machine forecasting and pipeline visibility; leaders trust the numbers and can explain pipeline changes
- Granular deal and engagement risk scoring built on captured activity signals, surfacing at-risk deals leaders would miss
- Flexible RevBI self-service analytics that let RevOps build custom metrics without a central data team
The catchFeature breadth creates a real learning curve; the UI and navigation can feel complex or overwhelming
Salesforce Revenue Intelligence
Native, Einstein-AI-powered deal intelligence and forecasting baked directly into Salesforce Sales Cloud.
- Fully native to Salesforce: data, deal scores, and forecasts live in the same CRM reps already use, with nothing to sync
- Pipeline Inspection with waterfall and deal-flow charts gives managers real-time visibility into movement, at-risk deals, and forecast changes
- Einstein deal scoring and Close Date predictions are trained on your own historical CRM data, not generic benchmarks
The catchHigh total cost of ownership: a premium add-on (~$2,640/user/yr) on top of already-pricey Enterprise/Unlimited licenses
People.ai (now Backstory)
Automatically captures all sales activity and tells revenue teams which deals are at risk, why, and what to do next.
- Best-in-class automatic activity capture: auto-logs emails, meetings, calls, and chat across Gmail/Outlook, Zoom/Teams, and Slack
- A deep, proprietary multi-year activity dataset that feeds deal-health scoring, risk alerts, and stakeholder/relationship mapping
- Gives managers and reps real visibility into deals and accounts without chasing reps for updates
The catchNot transparently priced and skews expensive/enterprise; total cost can reach six figures, which makes ROI hard to judge up front
Oliv AI
Oliv is the Agent OS for revenue teams.
- Modular pricing: buy only the agents you need, with no platform fee on top, so entry cost lands far below the enterprise platforms here.
- Free view-only seats let managers and execs read deal context without another paid license.
- Call recording, AI transcription, and CRM auto-sync are in the core product, so deal signals come from captured activity rather than rep entry.
The catchOliv's Context Graph keeps the story of every deal as a memory. It is updated with each new call and email, and it tracks who the champion is, what could delay the close, and what was promised. When a risk shows up, the Deal Driver agent uses that story to draft the recovery play and keeps watching for a reply, rather than leaving a red flag for a rep to interpret.
Feature by feature
| Feature | Airspeed | Gong | Clari | Aviso | BoostUp (now Terret) | Salesforce Revenue Intelligence | People.ai (now Backstory) | Oliv AI |
|---|---|---|---|---|---|---|---|---|
| Deal Scoring & Risk | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ |
| Forecasting | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | Unknown |
| Pipeline Inspection | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | ✓ | Unknown |
| Call Recording / CI | ✓ | ✓ | Add-on (Copilot) | ✓ | ✓ | Bundled (Einstein) | Captures, not native | ✓ |
| CRM Auto-Sync | SFDC + HubSpot fields | ✓ | ✓ | Salesforce | Salesforce | Native | ✓ | ✓ |
| AI Agents / Automation | ✓ | Data Extractor, Researcher | RevAI agents | MIKI + 30 workflows | Revenue agent fleet | Einstein + Agentforce | ✓ | ✓ |
Compared on public pricing, vendor documentation, and verified G2 and Capterra reviews by the Airspeed team. Pricing as of June 2026; confirm current pricing with each vendor. Last verified October 2026.
Airspeed by the numbers
Frequently asked questions
What is a deal intelligence platform?
A deal intelligence platform reads the calls, emails, meetings, and CRM activity on every open deal to score its health, flag risks, and roll those signals into pipeline and forecast health. Airspeed, Gong and Clari are the leading platforms in 2026; Airspeed is built for mid-market teams that want each risk flag to come with a next step and a CRM update. Instead of trusting a rep-entered stage or gut-feel commit, these tools track leading indicators like single-threading, stakeholder ghosting, missed meetings, and qualification gaps, often weeks before a manual review would.
How much does deal intelligence software cost?
Pricing is almost always per user, and total cost depends on architecture. Mid-market tools run roughly $600-$1,800 per user per year; enterprise platforms run about $1,000-$3,000 per user per year and frequently add a $5,000-$50,000 platform fee. Bundled enterprise stacks for around 100 users can reach several hundred thousand dollars annually, while modular no-platform-fee tools start near $230-$240 per user per year. Most enterprise vendors (Clari, Aviso, BoostUp/Terret, People.ai/Backstory) quote via demo, so compare three-year total cost of ownership rather than sticker price.
How do deal intelligence and revenue intelligence differ?
Revenue intelligence is the broad umbrella that aggregates data across the whole go-to-market motion (pipeline, forecast, attribution, account health, rep performance) to answer whether the team will hit the number. Deal intelligence is the opportunity-level core inside that umbrella: it scores the health and risk of each specific deal. Deal intelligence is what makes a revenue-intelligence forecast trustworthy, deal by deal. The two increasingly overlap because revenue suites embed deal scoring, but the deal-intelligence lens stays on individual opportunities rather than the whole revenue picture.
How is deal intelligence unlike conversation intelligence?
Conversation intelligence works at the call level: it records, transcribes, and analyzes individual meetings for coaching and buyer signals, answering what happened on the call and how the rep can improve. Deal intelligence works at the opportunity level and treats conversation data as one input, combining call signals with email, calendar, and CRM activity to score whether the whole deal will close and what is putting it at risk. Conversation intelligence makes reps better on the next call; deal intelligence tells leaders which deals to worry about and why.
What is the best deal intelligence tool for mid-market?
Mid-market teams of roughly 30 to 200 AEs want deal scoring and AI-generated forecasting without enterprise pricing, long implementations, or heavy RevOps overhead. Airspeed fits this segment best because it pairs framework-aware deal scoring and risk alerts with autonomous CRM action and field-level Salesforce/HubSpot sync, so insights drive next steps instead of just filling a dashboard. BoostUp (now Terret) is another accessible purpose-built option, HubSpot-native teams often get enough embedded intelligence from HubSpot, and Gong Forecast works for teams already on Gong. The right pick depends on your CRM, deal-cycle length, and whether you need action or just risk surfacing.
Can deal intelligence replace forecasting tools and CRM?
It can replace or upgrade standalone forecasting, but not the CRM. Deal intelligence platforms sit on top of the CRM as an analytical layer: they read opportunity and contact data from Salesforce or HubSpot and write activity back, while the CRM stays the system of record. For forecasting, modern deal intelligence often does replace spreadsheet roll-ups and rep-entered commits, because bottom-up behavioral forecasting removes submission bias and lifts accuracy. Platforms like Clari, Aviso, BoostUp/Terret, and Gong Forecast bundle deal scoring and forecasting, so they consolidate a separate forecasting tool but complement rather than replace the CRM.
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