Questions buyers ask about 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.

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.

As one layer next to the AI you already run, with nothing to replace. It takes in each live interaction, your playbooks and offers, and the account's history. It reads observable signals of how things are said, and sends back what your AI and your team can act on: satisfaction on every conversation, whether the customer understood and not only got an answer, the right moment to step in, and trust and loyalty over time. It works before launch, to test your agent against tough callers; during the conversation, to guide it live; and after, to learn what wins.

Observable signals of how something was said: tone of voice, meaning pitch, volume and emphasis; pace and pauses; turn-taking, meaning who speaks when and for how long; body language a camera can see, such as gaze, gestures and posture; and the words themselves. Anyone in the conversation could hear or see each of them. PokaMind turns them into guidance your AI or your team can act on, for example a prompt to offer a human callback when a caller asks the same question a third time.

No. PokaMind reads what anyone in the conversation could hear or see: pitch, pace, pauses, turn-taking, gaze, gestures and the words. It does not read emotions, mood, stress, personality or intent from a voice, a face or words. It does not recognize anyone by face or voice, and it never infers where anyone is from. In the apps for your teams, accent detection looks only at your own speech, if you turn it on.

EMORI is our care robot, built on the PokaMind layer. EMORI is in pilot at Badalona Serveis Assistencials, a public healthcare provider in Catalonia. It hears which language a patient speaks, asks for consent, interprets on the spot, adapts its tone and movement, and calls a human in time. The aim is shorter waits for an interpreter and fewer interpreter hours. The pilot has no published results yet.

The same layer powers apps for your own people. PokaMind Notes for meetings, on the web and Android, with iOS coming soon. PokaMind Practice for rehearsing hard conversations out loud. PokaMind Coach for the note a coach sends each person after a session. And Built to order tools, such as feedback and a weekly digest. Each gives feedback on your own delivery, never a score on a person.

For customer-facing AI, PokaMind runs next to the platform you already use, and deal signals sync to your CRM. The apps for your teams connect to these tools. Meetings: Zoom, Microsoft Teams and Google Meet. Documents: SharePoint and Google Drive. AI assistants, through MCP: Claude, ChatGPT and Microsoft Copilot. Where work lands: Slack, Salesforce and HubSpot. They record only when a person presses record.

MCP (Model Context Protocol) is an open standard that lets an AI assistant, such as Claude, ChatGPT or Microsoft Copilot, read from the tools you use, with your permission. Connect PokaMind Notes once, and your assistant can look across your meetings and notes, for example what was decided with a client this quarter. It sees only your own meetings, and you can disconnect it at any time.

Pick one KPI. We run a sample analysis on your own past interactions, with nothing touching your stack. The KPI can be handovers, churn or deals won, and the sample is past calls or meetings you choose to share. We show you where those conversations turned and what PokaMind would have flagged. Then you decide whether to plug it in.

PokaMind is licensed per organization, scoped to the use case and to which parts of the layer you run. We quote once the sample analysis has shown what it finds in your own interactions. There is no public price list, because scopes differ.

Only when someone presses record in PokaMind Notes, online or in a room. The person recording must tell everyone in the meeting first, and anyone can say no. The transcript and the notes are kept. The audio is not stored. Speakers are labeled from the meeting, and you can name them. Labels can be wrong. PokaMind does not recognize anyone by voice.

In a customer-facing deployment, the reads go to the company that runs the AI, to guide its agent and its team. In the apps for your teams, your notes and feedback are yours and shared only if you choose, and in Practice, managers see who practiced and how often, never the feedback or the conversation. PokaMind is not used to hire, promote, screen, evaluate or rank people.

Session data is encrypted in storage and in transit and handled in line with GDPR. The sample analysis on a discovery call runs on the past interactions you choose to share, with nothing touching your stack. We share our security documentation and data processing terms during evaluation.

PokaMind reads observable signals of how things are said, such as tone of voice, pace, pauses, turn-taking and body language a camera can see. It does not recognize emotions, it does not recognize anyone by face or voice, and it does not infer anyone's origin, ethnicity, nationality or cultural background. It is not used to hire, screen, evaluate or rank people. EMORI asks for consent before it interprets. In the apps for your teams, accent detection looks only at your own speech, if you turn it on, and only you see it, and the person recording a meeting must tell everyone first. The apps for your teams are for adults 18 and over. Read the privacy notice.