A 34-second animated introduction to PokaMind, with illustrations and example data. A customer on a call asks, "So when does someone actually come?" Your AI gets the words, not how they were said. Then PokaMind reads how it was said, on that same line: the pitch is rising, the pace is speeding up, the turns are getting shorter, and it is the third time the same question was asked. Its guidance: offer a human callback now. Then three use cases. Service and sales agents: the customer interrupted the AI agent twice, so hand over to a person. Care robots: EMORI, in pilot at Badalona Serveis Assistencials, interprets for a patient on the spot and tells the staff the patient asked about the time twice, so repeat it slowly. Meeting and sales platforms: deal momentum dropped at pricing, and the next step is to lead with the integration plan. People at these organizations have used PokaMind: ABB, BioInvent, Career 180, Evren and Badalona Serveis Assistencials. Live today in Notes, Practice and Coach. Social intelligence for customer-facing AI.
Social intelligence for customer-facing AI.
The plug-and-play communication layer for your AI and your teams.
Who has used PokaMind
- People at these organizations have used PokaMind:
, 
, 
, 
and 
Badalona Serveis Assistencials. - Featured in
. - A spin-out of
KTH. - Supported by
and 
.
Your AI reads every word.
Outcomes turn on the rest.
Observable signals only. Never emotions, mood or personality.
What your LLM gets
“So when does someone actually come?”
Sentiment: neutralTone of voice:Pitch rises with each ask, highest on “actually”.
PokaMind guidance:Third time asking. Offer a human callback now.
One layer next to the AI
you already run
What goes in
- Live calls with your AI agents
- Video meetings
- Playbooks and documents
- Tone of voice
- Pace
- Pauses
- Turn-taking
- Body language
Observable signals only
What comes out
- The right moment to step in
- Satisfaction on every conversation
- Insights where your team works
- Context for your AI assistant, through MCP
Built for the companies behind
customer-facing AI
Three ways in
Guide every agent while the call is live
- Before launchTest against tough callers
- During the callKnow when to offer or hand over
- After the callSpot churn patterns early
Live call: claim after a breakdown
IllustrationCustomer: So when does someone actually come?
Agent: Let me take a few more details first.
PokaMind guidance
Third time asking. Offer a human callback now.
Pre-launch scores
- Cooperative84
- Hurried72
- Firmly resistant46
See the layer at work in our own apps
Notes, Practice and Coach run on the same layer your AI would. EMORI is in pilot.
Launch review
Selected: OnlineIn the room
- Summary
- The launch moves to October 14, after the supplier contract is signed.
- Next steps
- Tom sends the contract to legal by Friday.
- Ideas that stalled
- Priya's soft launch idea drew one question, then was parked at 12:41.
- Still open
- Who tells the retailer about the new date.
- How you said it
- Your pitch rose on "date", so it sounded like a question. Say it falling.
Upsell, NPS and churn are decided in the interaction
- 25-95%more profit from 5% better retentionHBR (opens in a new tab)
- ~80%more lifetime revenue from promotersBain, mobile operators
They didn’t just add a layer of engagement, they gave us a deeper understanding of how learners are actually grasping the core concepts.”
Ali SalehHead of Product, Career 180
The rules it works by
Observable signals only
Never reads emotions or mood
Never used to hire or rank
Encrypted, in line with GDPR
Questions partners ask first
What is PokaMind?
PokaMind is the social intelligence layer for customer-facing AI. It reads observable signals like tone of voice, pace and turn-taking, and shows when to step in. It plugs in as one layer next to the AI you already run, and the same layer powers apps for your own teams.
Who is PokaMind for?
The companies behind customer-facing AI: AI agent platforms, contact-center vendors and BPOs, AI and speech API providers, robot makers and hospital networks, and meeting and sales platforms. For agent platforms and contact centers, it guides every service and sales agent while the call is live. For robot makers and hospitals, it keeps the patient in the conversation, through our care robot EMORI. For meeting and sales platforms, it shows where each deal turned and syncs those signals to the CRM.
Where did your last
lost customer turn?
Pick one KPI. We’ll run a sample analysis on your own past interactions and show you, with nothing touching your stack.
Or write to us
A person reads every message and replies by email.