Scriptal Platform

Scriptal started from a simple realization: sales teams record hundreds of calls but rarely go back to analyze them systematically. The transcripts just sit there, full of insights about customer objections, buying signals, and competitive intelligence that never gets extracted.

I built Scriptal as a platform where teams can upload their meeting transcripts and actually use them. The core feature is semantic search - you can search for concepts, not just keywords. Ask "what objections did customers raise about pricing?" and it finds relevant passages across all your transcripts, even if they never used the word "pricing."

The AI analysis engine automatically extracts key information from each transcript: summary, action items, buying signals, objections raised, and topics discussed. This runs on every transcript when uploaded, building a searchable database of sales intelligence over time.

There's also an AI chat feature where you can have a conversation with your transcript library. Ask questions like "what do our best customers say about our onboarding process?" and get answers synthesized from across all your calls.

The platform handles team collaboration with shared workspaces, and includes analytics dashboards showing trends across your conversations. Built with Next.js, Supabase for the database, and OpenAI for the AI features. Pricing starts free, with Starter at $19/month and Pro at $49/month for teams needing advanced features.