AI agents for procurement that work inside Microsoft 365 and Google Workspace
Find a Movie by Describing It
Stage
Not given
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Founded
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Based in
DE
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Pricing model
Paid
Free
Pricing
Starter: €295/month for up to 20 sourcing events/year; Growth: €645/month for up to 50 sourcing events/year; Scale: €1,195/month for up to 100 sourcing events/year; Enterprise: custom pricing for 100+ events/year. All plans include unlimited users. Events beyond plan run at €249 each. Annual billing
Not given
Key features
Draft RFx documents with evaluation criteria and submission guidelines
Vendor research and shortlisting
Pricing and compliance matrix comparison
Negotiation preparation and leverage analysis
Works inside Microsoft 365 and Google Workspace
Structured workflow process
Company template support
Event rollover and flexible billing
Human review and control at every step
Natural language search for plot descriptions and scene details
Quote and dialogue recognition including partial and misquoted lines
Visual scene analysis from uploaded screenshots and images
Smart fuzzy matching for incomplete or inaccurate memories
Instant results with up to five ranked candidates
Multi-language support across international films
Ranked suggestions with release years and match reasons
Search by actor, director, or cast information
Find movies by song, lyric, or soundtrack clues
Extract and identify movies from video clips
What makes it different
Operates inside existing tools without requiring adoption of new software or workflows
Structured, multi-phase workflow prevents steps from falling through the cracks
Category-specific AI knowledge designed for procurement rigor
Human-in-the-loop design with transparent, auditable recommendations
Pricing by sourcing volume, not seats, with unlimited users
Handles vague, incomplete, and misremembered details with AI understanding
Completely free with no registration required
Multiple search modes including text, image, and quote input
Supports films from any country and language
Provides verification links and IMDb metadata for results