How Qdrant turned sales calls into company-wide intelligence with Airspeed
Qdrant turned sales conversations into shared, searchable intelligence, putting sales, technical teams, and leadership on the same source of truth. Onboarding got faster, deal quality went up, and the whole go-to-market motion tightened.
- Industry
- AI infrastructure, Vector database & search
- Size
- ~90 employees
- HQ
- Berlin, Germany
- Funding
- Series A
- Founded
- 2021
Qdrant builds an open-source vector database used by AI teams to power similarity search and retrieval use cases.
What changed
- 01
2× faster onboarding (from 4-6 weeks → 2-3 weeks)
- 02
35% reduction in admin work
- 03
2-3 hours saved per AE per week
- 04
Automatic CRM population and call summaries
- 05
Improved deal qualification and resource allocation
The challenge
Complex sales conversations weren't shared or scalable
Qdrant's deals ran across multiple stakeholders, long timelines, and deep technical discussions between AEs, solution architects, and prospects. The recordings existed, but the insight was fragmented, write-ups were inconsistent, and critical context kept getting lost between teams.
The solution
Make every sales call usable by the entire company
Qdrant brought in Airspeed to capture, summarize, and structure every sales conversation automatically. With minimal setup, it became a shared intelligence layer across sales, solutions, marketing, and leadership.
Impact beyond sales
One intelligence layer across sales, technical, and leadership teams
Airspeed became the connective tissue between account executives and solution architects, carrying technical context through the whole sales cycle without manual notes or shadowing.
Faster ramp for new sellers
New AEs ramp by searching and reviewing real sales conversations instead of relying on live shadowing alone, which cut onboarding time in half.
Better insight for marketing and leadership
Marketing reviews the day's calls to sharpen messaging and positioning. Leadership uses the structured insight for more accurate forecasting, board updates, and strategic calls.
Built for complex, technical deals
Semantic search across every call lets Qdrant surface patterns in AI and vector search use cases, competitor positioning, and stakeholder concerns, even across long, multi-threaded enterprise cycles.
"Airspeed is the connective tissue that does all that for us, from sales calls all the way to the CEO."
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