Prototype demo
VOZURA
Conversation Intelligence that remembers what matters.
Don't just listen.Understand.
AI can transcribe a conversation in seconds. The real value starts when it understands the conversation in context — across every conversation that came before it.
- Voice→
- Memory→
- Intelligence→
- Action
Founder & AI Product Manager · Working Prototype · AI-assisted development
Don't just transcribe conversations. Understand them.
Working Prototype — In active development
VOZURA is not a launched customer product. The demo uses synthetic, fictional data and contains no real customer metrics.
Read the full Product Management case study →How VOZURA thinks
From one conversation to a decision.
Scroll through the concept: a customer call becomes structure, memory and a recommended next step.
- 01
Conversation
A real customer call — tone, pauses and pressure that a CRM note never captures.
00:12:41CustomerAccount lead - 02
Understanding
Speech becomes text with speaker separation, and sentiment, intent and objections are read in context.
Transcript
Customer…the rollout keeps slipping on our side.Account leadLet's fix the sequence before the next milestone.CustomerWe need clarity on the timeline first.SentimentObjectionCommitment - 03
Memory
The current interaction connects to previous conversations, so recurring topics stop starting from zero.
PreviousMemoryTodayQ1 callSupport threadRecurring topic - 04
Decision intelligence
Patterns surface where a relationship is at risk — and where value can grow.
Risk
Opportunity
- 05
Next best action
The output is not a summary. It is the next step, with the reason behind it.
Next action
Confirm the timeline in writing before the next milestone.
Reasoning
Recurring topic · Objection · Risk
Concept and prototype. Synthetic demo data.
Demo data — fictional customer
Demo scenario
Acme AG
Jenia Jost — Head of Operations
Step 1 — Context
The conversation didn't start today.
Before analysing today's call, the concept loads what this customer said in previous conversations.
3 months ago
“Our SAP integration is still causing problems.”
AI memory · Recurring issue detected
6 weeks ago
“Can you make sure this gets resolved before our next review?”
AI memory · Promise detected
2 weeks ago
“We haven't seen much progress.”
AI memory · Relationship risk increasing
Today
New conversation available
Today's conversation
Quarterly operations review
- Jenia — Customer
We've talked about the SAP integration several times now. The problem is still affecting our operations, and honestly, I'm getting frustrated because we were told this would be resolved by now.
- Sales Manager
I understand. Let me check where we are with the technical team and make sure we get a clear update.
- Jenia — Customer
I really need a concrete answer this time. We can't keep discussing the same problem every few weeks.
Demo data — fictional customer
Conversation Intelligence
Conversation Intelligence
VOZURA extracts structured behavioral and commercial signals from conversations instead of stopping at transcription.
Speaker diarisation
Separates who is speaking, turn by turn.
Talk / listen ratio
Measures the balance between talking and listening within a call.
Monologue detection
Flags long, uninterrupted stretches of talk time.
Interruption rate
Tracks how often speakers interrupt each other.
Sentiment timeline
Follows how customer sentiment shifts across a conversation.
Intent / interest detection
Reads signals of customer interest or intent within the dialogue.
Focus detection
Identifies which topics a conversation actually concentrated on.
Objection detection
Flags moments where the customer raises a concern or objection.
Competitor keyword detection
Detects mentions of competitor names or products.
Question rate
Tracks how many questions each speaker asks.
Customer Memory
Customer Memory
VOZURA connects signals across conversations so customer context does not reset after every call.
Recurring issues
Surfaces problems a customer has raised more than once.
Promises / commitments
Tracks commitments made in a conversation and whether they were kept.
Blockers
Highlights unresolved obstacles standing in the way of progress.
Momentum
Reflects whether a customer relationship is trending up or down over time.
Decision-maker linkage
Connects conversation signals to the relevant decision-makers.
Persistent customer context
Carries context from one conversation into the next, instead of starting from zero.
Differentiation
From transcription to intelligence.
VOZURA is not only a transcript or a summary. It is built around persistent context that carries across conversations, not just within one.
Structured signals — relationship momentum, objections, intent — are tracked over time, so a pattern across five calls is visible, not just what was said in one.
Traditional conversation intelligence
- Transcript
- Summary
- Keywords
AI Voice Intelligence
- Conversation
- Context
- Memory
- Patterns
- Business impact
- Recommended action
My Role
My Role — AI Product Management
I shaped VOZURA from the initial customer problem into a working product concept, making the product decisions behind what to build, what to prioritise and how the experience should work.
AI Product Manager with hands-on, practical technical product work — not a software engineer.
Read the Product Management Case StudyNext step: validate with real users and customer discovery.
Users
Sales · Customer Success · Account Management · Support
Segments
B2B SaaS · Telco · Industry / Enterprise
AI / Tech
AI / Tech
AI / Product Layer
- LLM workflows
- Transcription
- Conversation analysis
- Persistent memory
Tools / Infrastructure
- Deepgram
- Supabase
- Claude Code
- GitHub
Development Approach
- Structured QA
- E2E testing
- AI-assisted development
Language
Swiss German transcription work / beta exploration
How it flows
- Voice→
- Transcription→
- Understanding→
- Memory→
- Reasoning→
- Action
Product vision at scale
One conversation is a signal.The vision: thousands become intelligence.
Conceptual demo data
127
Conversations analyzed
18
Recurring issues detected
7
Unresolved product problems
4
Emerging customer risks
Illustrative example, not real customer data or usage.
Emerging product problem
SAP integration
Detected across multiple fictional customer conversations.
Signal
Increasing
Potential action
Investigate product / technical root cause.
Current Status
Working Prototype — In active development
VOZURA is not a launched customer product. It has no paying customers, no revenue and no employees. The demo uses synthetic, fictional data. Real-user discovery and customer validation are the next step.
Kayky AI
Ask Kayky AI about this product
The assistant answers from the same verified knowledge base used across this site.