Airspeed platform

A team of AI agents that works your pipeline around the clock

Airspeed AI Agents monitor every deal, answer pipeline questions in plain language, surface expansion revenue, and coach reps after every call. They act on signals the moment they appear, not once a week in a pipeline review.

A 30-minute demo and expert Q&A.

G24.9 SOC 2 Type II Live in days, not quarters

The problem

Where revenue teams get stuck

Reps manage 30+ deals by hand

Tracking status, next steps, and stakeholder engagement across a large pipeline is more than one person can hold in their head. Signals get missed because there is too much to watch.

Stalled deals slip through the cracks

With no automated monitoring, deals go quiet for weeks before anyone notices. By the time a manager catches a stalled deal in a review, the window to save it has often closed.

Pipeline reviews are backward-looking

Weekly reviews recap what already happened. They rarely tell you what to do next or which deals are at risk right now, while there is still time to act.

Why Airspeed

Why revenue teams run on 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.

Airspeed deal board with qualification scoring, weighted pipeline, and deal health on every card

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.

Airspeed agent detecting a champion change, updating Salesforce, and drafting outreach automatically

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.

Airspeed coaching scorecard with coachable moments and a delivered coaching plan

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.

Airspeed deals table with auto-filled stages, close probabilities, and AI deal summaries

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.

Airspeed forecasting dashboard with commit, best case, and pipeline rollups and a live deal view

Capabilities

What AI Agents does

One system, working on its own after every call, meeting, and deal-stage change.

Deal Execution

Watches deal health, flags risk, recommends the next move, and fires workflows to re-engage stalled opportunities. An always-on deal manager for every rep.

Insights Agent

Answers pipeline questions in plain language. 'Which deals mentioned competitor X?' 'What objections came up most this month?' You get the answer in seconds, straight from your call and deal data.

Outbound Agent

Reads your calls for expansion signals, drafts outreach personalized to each account, and ranks who to contact first by how strong the buying signal is.

Coaching Agent

Sends every rep private feedback after every call, points to the exact moments to work on, and links to clips of top performers handling the same situation.

Under the hood

How it works

1

Agents connect to your data

Agents read every call, CRM record, and deal activity Airspeed already captures.

2

They watch every deal

The Deal Execution Agent monitors every open deal around the clock for risk, stalls, and openings.

3

They surface the next move

Next actions, risk alerts, and expansion openings reach reps the moment they matter.

4

Workflows fire on signals

Re-engagement, CRM updates, escalations, and coaching run on their own when signals hit.

Who it's for

Built for the whole revenue team

RevOps

Revenue Operations Manager

  • Pipeline monitored automatically, no manual inspection
  • Deals prioritized by signal, not gut feel
  • Workflows fire on their own, less manager workload

Pipeline review runs on signals, not manual inspection and gut feel.

CRO/VP Sales

Chief Revenue Officer / VP Sales

  • Deals advance with fewer manager touchpoints
  • Stalled deals flagged and re-engaged automatically
  • Expansion revenue found without new headcount

Revenue execution runs every day, not just in the weekly pipeline review.

Sales Enablement

Sales Enablement Lead

  • Coaching after every call, not between sessions
  • Rep development scales without more manager hours
  • Impact measured from deal outcomes and scorecards

Coaching happens after every call, not once a quarter when someone finds time.

Proof

Real results

24/7 Deal monitoring Agents watch every deal continuously, not just during the weekly review
50% Fewer stalled deals Risk signals caught and acted on before deals go cold
Instant Pipeline answers Ask anything about your pipeline in plain language, get an answer in seconds
0 Manual workflow steps Re-engagement, escalation, and CRM updates fire on their own when a deal signal hits

One of the growth managers spun around in her chair and said: it's the best. It sends me a Slack update right before I sit down with a customer. I don't have time to do research and prep. This does it already. I don't have to train it.

Sarah MaddenHead of RevOps, Fermat Commerce

Enterprise-grade security

SOC 2 Type II GDPR compliant Encryption in transit and at rest SSO and SAML

Book a demo.
See it in action.

See AI Agents run on your own calls and pipeline.

Which actions run autonomously vs need approval?

By default, agents recommend actions and draft outputs for a human to review. Autonomous actions like triggering email sequences or updating CRM fields can be turned on per workflow, with approval thresholds you set. Every agent action is logged in a full audit trail.

How does the Insights Agent access pipeline data?

The Insights Agent queries Airspeed's unified data layer: every call transcript, CRM data synced from Salesforce or HubSpot, and full deal activity history. No export or ETL pipeline to build, since the agent already reads everything Airspeed captures.

Can agents be customized for our specific sales process?

Yes. You set the deal stages where risk flags trigger, the criteria that count as an expansion signal, the escalation rules for stalled deals, and the standards the Coaching Agent scores against. All of it configured in the Airspeed admin interface.

Does the Coaching Agent work in real time during calls?

No. The Coaching Agent works around the call, not during it. Reps receive a private coaching note within minutes of every call, covering objection handling, competitor mentions, talk patterns, and missed opportunities, and can practice with AI role-play before live conversations.

How does the Outbound Agent spot expansion plays?

It reads customer success calls, renewal discussions, and support conversations for signals like feature requests, team growth, and new use cases. It combines those with account data to score expansion likelihood and draft outreach personalized to each account.

See Airspeed in action

A 30-minute demo and expert Q&A.