Loading...
Loading...
For Technical Teams, RevOps, and Data Engineering
Agent-Ready · MCP Server · Evidence Packs
ReadingMinds is the emotional intelligence layer for AI agents.
Customer insight is moving from dashboards into the agent itself. ReadingMinds is building the customer truth layer your AI agents will query before writing emails, building decks, or prioritizing pipeline. Our secure MCP Server (available Q2, 2026) delivers evidence-first customer truth via MCP, API, or webhooks. Not “nice reports.” Structured Evidence Packs with quotes, emotional tags, themes, intensity scores, and full provenance.
Agents ask ReadingMinds before making decisions.
ReadingMinds is the signal layer that AI coworkers need to understand customers. This is the emotional intelligence infrastructure layer in the operating system for growth teams. Agents don't just need snapshots. They need customer emotional trend data to guide decisions. RevOps wars are increasingly won by whoever connects data most fluidly and powers agents with verifiable context.
Your AI Agents
Agent-Embeddable Customer Truth Layer
Your Customers
Looking for the product overview? See what ReadingMinds does →
Customer insight is leaving the dashboard. If your truth layer isn't callable inside the agent's workflow, you get relegated to “nice reports.” ReadingMinds is designed as a tool agents query, not a place humans go visit.
Where insight gets stuck
What ReadingMinds delivers
Emma does what most “AI interviewers” can't. It delivers decision-grade insights you can trace back to the source.
Follows unexpected threads while staying aligned to the objective: win/loss, onboarding friction, churn risk, expansion blockers.
Detects tone, pace, and hesitation during the conversation and responds with appropriate empathy. Result: customers tell you the real reason, not the polished answer.
We do not store voice recordings. We only retain transcripts and the derived sentiment/emotion signals.
Recognizes when a vague response hides a blocker, then asks the follow-up that surfaces the truth. Recognizes completion and moves on gracefully.
Every signal links to the exact transcript quote and timestamp, plus emotion tags and intensity scores. Built for exec reviews, QA, and procurement.
What's collected, how it's used: explained upfront before the conversation begins.
Conversational pacing that lets people think and respond naturally.
Signals always trace back to transcript evidence. Full provenance for every finding.
RevOps doesn't buy “insight.” RevOps buys: help me close deals, reduce churn, and stop pipeline lies. ReadingMinds outputs structured Evidence Packs: theme + emotional tags + intensity + customer quotes + full provenance. Each pack is built from the customer's ReadingMinds Emotional Fingerprint™: the truth layer that sales, CS, and marketing agents can't argue with.
CS agent queries Evidence Packs for emotional decline → triggers proactive outreach with the exact quote that surfaced the risk
Sales agent pulls customer enthusiasm signals to personalize follow-ups with evidence-backed messaging
When cheerfulness spikes or anger surfaces → agents trigger expansion plays while timing is still favorable, citing the specific customer quote
When hesitation rises in late-stage conversations → agent flags for manager review with provenance, preventing surprise misses
// ReadingMinds Evidence Pack
{
"type": "evidence_pack",
"interview_id": "int_8x7k2m",
"customer_id": "cust_92jf8",
"recording_stored": false,
"theme": "onboarding_friction",
"signal": "churn_risk",
"severity": "high",
"evidence": [
{
"quote": "I mean, it's fine... we just
don't use it like we thought
we would.",
"emotion_tag": "sad",
"intensity": "7/9",
"source": {
"transcript_ref": "t_104",
"timestamp": "2:34",
"interviewer": "emma_v3"
}
},
{
"quote": "The onboarding was... a lot.
We kind of gave up after
week two.",
"emotion_tag": "angry",
"intensity": "7/9",
"source": {
"transcript_ref": "t_112",
"timestamp": "3:47",
"interviewer": "emma_v3"
}
}
],
"recommended_actions": [
"trigger_cs_outreach",
"update_health_score",
"flag_for_exec_review"
]
}MCP server is a first-class surface, not an integration backlog item. Your agents will call ReadingMinds the same way they call any other tool: query Evidence Packs, get structured customer truth, act on it. Plus REST API, webhooks, and native integrations for the rest of your stack. See our delivery roadmap on the pricing page.
Claude, GPT, or custom agents will call ReadingMinds as a tool: query Evidence Packs, get customer truth, act on it in the same conversation.
Programmatic access to interviews, Evidence Packs, and emotional signals. Build custom workflows and integrations.
Real-time event-driven signals to Salesforce, HubSpot, Zapier, n8n, or custom systems when evidence is detected.
Stream Evidence Packs to Snowflake, BigQuery, or Redshift for cohort analysis, churn drivers, and segmentation.
MCP + API planned for all plans. Workflow automation + data streaming on Growth+. See delivery roadmap →
Works With
Three steps from customer voice to agent action.
Emma conducts a 3-minute AI voice interview. Emotion type and intensity are detected in real time. No permanent recordings stored.
Structured output: cited quotes, emotion tags, intensity scores, themes, and full provenance. Every insight traceable to its source.
Your AI agents query Evidence Packs via MCP, API, or webhooks. They get customer truth, log their actions, and every decision is auditable.
Enterprises demand audit trails, least-privilege permissions, and evidence-backed outputs before they let agents touch CRM and RevOps systems at scale. ReadingMinds is built for exactly that. No permanent recordings stored: transcripts and derived evidence only, under your retention controls.
Certification in progress via Vanta. Enterprise-grade security controls from day one.
Scoped API keys and MCP permissions; agents only see what they need
Every evidence object traceable to quote + timestamp + emotion tag + intensity
Privacy by design. US & EU options. No permanent recordings retained.
Quotes + emotional tags + provenance. No permanent recordings retained. Not a dashboard. Not “LLM-only.” The customer truth layer your agents query before they act.
See how ReadingMinds becomes the customer truth layer in your agent stack.
Your competitors are already feeding emotion data into their workflows.

The bestselling playbook for deploying AI agents that build your marketing pipeline 24/7. By ReadingMinds.AI founder Stu Sjouwerman. Published by Wiley.
Learn how autonomous AI agents are reshaping sales, marketing, and customer research, with real-world frameworks you can deploy today.