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6 hours
saved per search
<2 sec
to find any answer
100%
of transcripts analyzed
5-10 sec
AI analysis per file

Semantic Search

Ask questions. Get answers. From 247 transcripts in under 2 seconds.

Without Scriptal
Manager asks "what recurring questions are we hearing?"
You read 8 transcripts manually (6 hours)
Miss the pattern happening in 18 other conversations
Build response guide based on guesswork
6+ hours wasted
With Scriptal
Search "pricing questions" across all 247 transcripts
Get 23 results in 1.8 seconds with exact quotes
See the pattern: "too expensive" came up 18 times
Build response guide from real client language
Under 2 seconds
23 results
1,847ms
Discovery_BrightWave_Jan1592% match

"The annual contract is steeper than what we budgeted..."

Demo_Clearview_Jan2289% match

"Your competitor quoted us 40% less for similar features..."

Natural language

Search "pricing concerns" and find "too expensive," "over budget," "can't afford," and every other way customers talk about price.

Example:
"security concerns" finds "worried about data," "SOC2," "who has access"

Stack filters

Deal stage + Call type + Competitor mentions. Narrow 247 transcripts down to the 8 that actually matter.

Example:
"Demo" + "Closed Lost" = see why deals failed

Actually fast

Sub-2-second response times. Get answers while the person is still on the phone with you.

Performance:
247 transcripts → 1,847ms
Catch one at-risk client before they leave
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