How Qdrant turned sales calls into company-wide intelligence with Airspeed
By turning sales conversations into shared, searchable intelligence, Qdrant aligned sales, technical teams, and leadership around the same source of truth — accelerating onboarding, improving deal quality, and strengthening their entire go-to-market motion.
- 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 sales cycles involved multiple stakeholders, long timelines, and deep technical discussions between AEs, solution architects, and prospects. Call recordings existed, but insights were fragmented, write-ups were inconsistent, and critical context was often lost between teams.
The solution
Make every sales call usable by the entire company
Qdrant implemented Airspeed to automatically capture, summarize, and structure sales conversations — creating a shared intelligence layer across sales, solutions, marketing, and leadership with minimal setup.
Impact beyond sales
One intelligence layer across sales, technical, and leadership teams
Airspeed became the connective tissue between account executives and solution architects, ensuring technical context carried through the entire sales cycle — without relying on manual notes or shadowing.
Faster ramp for new sellers
New AEs ramp faster by searching and reviewing real sales conversations instead of relying solely on live shadowing, cutting onboarding time in half.
Better insight for marketing and leadership
Marketing teams review daily calls to sharpen messaging and positioning, while leadership uses structured insights for more accurate forecasting, board updates, and strategic decisions.
Built for complex, technical deals
Semantic search across all calls helps Qdrant surface patterns across 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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