Airspeed raised a $20M Series A on June 4, 2026, led by DN Capital, with participation from Vi Partners, Framework Venture Partners, and Atlassian Ventures.

Before the Series A, the company raised a $5.5M pre-seed round in June 2023, backed by Point72 Ventures, Creator Fund, and Dhyan Ventures. That round was announced under the company's original name, Glyphic.

Total funding raised across all rounds stands at $25.5M.

Airspeed is a revenue execution platform between sales conversations and the CRM. It targets a common failure point in sales workflows: qualification signals, objections, next steps, and buyer intent are discussed on calls but often do not make it into Salesforce or HubSpot in a structured, timely format. Airspeed automates that translation into CRM data.

A typical workflow starts when a sales meeting takes place on Zoom, Google Meet, or another connected source. Airspeed's notetaker joins the call, or ingests a recording, then processes the transcript alongside CRM context, prior call history, and logged emails. It extracts structured data mapped to the team's qualification framework, whether MEDDPICC, SPICED, BANT, or a custom rubric, and writes that data back into the CRM within minutes of the call ending.

After the call, a rep can have an updated Salesforce opportunity with refreshed fields, a logged activity, a drafted follow-up email, and identified next steps, without manual entry. Managers get a deal board with qualification scores, risk warnings, and pipeline health derived from call content rather than self-reported rep inputs, and those changes sync back to the CRM.

Airspeed also maintains a memory layer across calls, emails, and other account interactions. Reps receive pre-call briefs that combine prior conversations, company news, LinkedIn context, and deal history, while a search interface lets teams query what customers have said across recorded interactions.

Its newer product direction extends from capture and CRM writeback into agentic execution: detecting a champion departure and rerouting an outreach sequence, drafting re-engagement based on closed-won patterns, or launching outbound from observed deal signals. In April 2026, Airspeed added in-person meeting capture, extending ingestion beyond video calls.

Airspeed sells to mid-market and enterprise revenue teams through a demo-led, sales-assisted motion. There is no public self-serve pricing; contracts are governed by order forms that include both software subscription fees and implementation services charges. The buyer is typically a CRO, VP of Sales, or RevOps lead, with usage spreading across reps, managers, and adjacent functions like product and marketing.

A key element of the model is the forward-deployed RevOps layer. Instead of handing customers a login and documentation, Airspeed embeds a senior RevOps analyst who configures agents, maps custom CRM fields, and tunes the system to the customer's sales motion. This raises delivery costs relative to pure self-serve SaaS, but can compress time-to-value, improve adoption, and make the product harder to remove once it is wired into daily workflows.

Monetization appears to combine a base platform subscription with usage or capacity components tied to call volume or enabled functionality, plus separate implementation fees. The terms explicitly reference service capacity limits and additional charges for overages, which suggests pricing scales with depth of use. The expansion motion is land-and-grow: customers typically start with call capture and CRM hygiene, then add coaching, forecasting, AI search, and agentic workflows as they see ROI from the initial deployment.

On the cost side, Airspeed runs multi-model AI orchestration across Anthropic, OpenAI, and Gemini, routing tasks to the best model for each job. Combined with the services delivery layer, this likely leaves gross margins below those of pure software peers in the near term, with the tradeoff of stronger retention and higher ACV.

Airspeed competes in a market where conversation capture has commoditized, and differentiation increasingly sits in post-call workflows such as CRM updates, coaching, forecasting, and automated execution. The field spans enterprise revenue suites, AI-native execution tools, and low-cost notetakers moving into the same workflow layer.

Gong is the closest large incumbent. It has built a Revenue AI OS with 5,000-plus customers, a proprietary Revenue Graph trained on billions of interactions, and a broader set of AI agents, forecasting tools, and CRM update features. Gong's scale gives it enterprise trust and procurement leverage that Airspeed cannot match today, but Gong's core product orientation has been analytics and dashboards rather than execution automation, which is the category Airspeed is targeting.

The Clari and Salesloft merger, which closed in December 2025, created a combined platform spanning forecasting, conversation intelligence, and sales engagement. Their April 2026 open-data push puts them in the same execution-layer territory Airspeed is targeting, and the combination raises the bar on procurement and integration in accounts that already standardize on either platform. Outreach remains a credible rival in accounts where sequencing and frontline seller workflow are central, because teams already running outbound execution inside Outreach can add conversation insights with less friction than introducing a separate platform.

Attention is the closest product-vision competitor. Its positioning closely mirrors Airspeed: capture sales touchpoints, automate CRM updates, follow-ups, next steps, and coaching, and embed an agent into CRM or Slack workflows. That overlap likely makes head-to-head evaluations common. Attention has raised $3.1M, making it a smaller but fast-moving competitor in the same AI-native buyer segment.

Momentum approaches the market from RevOps, sitting on top of Salesforce, Slack, Gong, and Salesloft to extract signals and automate downstream workflows. That adjacent approach can make it harder for Airspeed to displace in accounts that already use Gong but want stronger execution automation. WINN.AI adds a real-time in-call guidance angle, with a product thesis that execution support should happen during the meeting rather than only after, a direct contrast with Airspeed's post-call orchestration focus.

Fathom, Grain, Fireflies, and Avoma started with meeting capture and have added CRM sync, coaching, and workflow automation. Fathom's free entry point sets a low baseline for buyer expectations at minimal cost, which compresses willingness to pay for basic capture-and-summarize functionality and pushes Airspeed to sell the ROI of deeper orchestration rather than simple automation.

The platform owners, Salesforce with Einstein Conversation Insights stored natively on the Salesforce Platform, HubSpot with AI guided selling and prospecting agents baked into Sales Hub, and Zoom with Revenue Accelerator, are the most serious long-term structural threat. Native data residency, procurement simplicity, and admin familiarity matter in enterprise accounts, even when a purpose-built product is more capable.

Airspeed's core expansion logic is a move from conversation intelligence point solution into a broader agentic revenue execution platform. That opens budget pools across CRM operations, sales engagement, enablement, and workflow automation that are collectively larger than call recording alone.

The clearest expansion vector is Airspeed Agents. The product has moved from Q&A and analytics into agents that can detect champion departures, reroute outreach sequences, draft re-engagement, and launch outbound from observed deal patterns. Those capabilities historically sat in sales engagement and RevOps automation tools rather than call intelligence vendors, and each new agent type maps to a different line item in the GTM stack.

A second budget line is coaching and simulation. Airspeed's demo scorer, AI coaching agents, and roleplay simulator are trained on a customer's own calls and objections rather than generic prompts, making the coaching product more relevant to enablement leaders running onboarding and performance improvement programs. This expands the buyer set from sales ops into learning and development budgets.

The November 2025 API launch creates a platform path. Customers and partners can build custom integrations on top of Airspeed's transcripts, extracted insights, and call data, opening the product to BI workflows, internal copilots, customer success teams, and product feedback loops, use cases outside the original sales-call intelligence wedge.

Airspeed's cross-functional usage pattern is visible in customer stories where product, engineering, marketing, and leadership teams use the same conversation layer to learn from deal patterns, improve onboarding, and inform product decisions. The expansion path is therefore broader than seat growth within a sales org, extending toward an org-wide commercial intelligence layer with a wider internal buyer set.

The company's customer mix already includes technically complex, multi-stakeholder enterprise deals in global fintech, AI infrastructure, and compliance software, where knowledge transfer, handoffs, and CRM structure matter more than SMB velocity. Moving further upmarket into larger accounts would increase ACV, since those environments have acute pain around CRM entropy and limited management visibility. A 2025 Bain survey found that 70% of companies struggle to integrate their sales plays into CRM and revenue technology. That gap is Airspeed's primary expansion surface, and it is large enough to support a materially bigger customer base than the current approximately 200 accounts.

Airspeed operates out of London and New York and already serves customers across 20 countries, with case studies spanning the US, UK, and Germany. The near-term opportunity is deeper penetration in English-speaking markets, followed by broader EMEA expansion where cross-border, multi-team enterprise sales are common and CRM fragmentation is acute.

That international footprint also creates a wedge into regulated or compliance-sensitive verticals. Financial services, healthcare-adjacent commercial teams, and other sectors where documentation accuracy and auditability matter are a logical next step, provided Airspeed continues strengthening its SOC 2 Type II controls and admin governance features that enterprise procurement teams require.

Platform capture: As Salesforce stores Einstein Conversation Insights natively on its platform and HubSpot bundles AI guided selling and prospecting agents into Sales Hub, native CRM vendors can offer good-enough post-call automation to enterprise buyers that prioritize procurement simplicity and data residency over execution depth, which could limit Airspeed's addressable market to accounts willing to pay a premium for a dedicated execution layer.

Accuracy dependence: Because Airspeed writes structured data back into CRM systems and uses that data to influence forecasts, coaching plans, and autonomous outbound actions, extraction errors carry operational consequences that are more damaging than mistakes in a passive note-taking tool, meaning the product's value proposition and the trust required to expand into critical workflows both depend on maintaining extraction accuracy at a level that is difficult to sustain as call volume, languages, and deal complexity scale.

Services scaling constraint: The forward-deployed RevOps model that drives Airspeed's fast time-to-value and high retention is also a structural bottleneck because customer growth can only move as fast as the company can hire, train, and deploy the senior RevOps analysts who configure agents and tune the system to each customer's motion.