Customer Intelligence Platform — Engage, Analyze, Listen

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Sarina

Engage

AI-powered conversations that capture what people really think. Replace static forms with natural dialogue that adapts to each person.

Conversational Surveys

Traditional surveys get abandoned. Sarina conducts natural two-way conversations that adapt to each respondent — clarifying vague answers, probing interesting insights, and keeping people engaged. Multi-language, real-time sentiment scoring, completion funnels.

AI follow-up questions Multi-language QR code deployment Completion funnels Real-time sentiment

Example: A healthcare system surveying 5,000 patients about care quality — 3× completion rates vs. traditional surveys.

PulseIQ

Real-time group conversations where dozens to hundreds of participants share perspectives simultaneously. AI manages individual threads, detects emerging themes live, and surfaces consensus and dissent as it forms. Built for town halls, focus groups, community engagement, and stakeholder input.

Town halls Focus groups Live theme detection Facilitator console Post-session surveys Sentiment trends

Example: A city council gathering resident input on a proposed development — 200 participants, 6 topics, real-time theme detection, post-session analytics.

Branded Agents

Deploy AI-powered conversational agents on any website. Each agent has its own personality, knowledge base, guardrails, and intent detection. Captures conversations for analysis, extracts user personas, and routes high-intent visitors to action.

Custom branding Knowledge base RAG Intent detection Persona profiling Demographic inference Conversation analytics

Example: A campaign deploying a policy Q&A agent that answers voter questions, detects donation intent, and adapts tone to each visitor.

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Ana

Analyze

Turn unstructured text into structured intelligence. Mine themes, build decks, and ask questions of your data — in seconds, not weeks.

TextMine

Upload or connect any text data — survey responses, reviews, comments, transcripts — and mine themes automatically. Keyword matching, AI-powered theme detection, sentiment scoring, demographic breakdowns, cross-source comparison via collections, and full-text search with AI query expansion.

AI theme mining Sentiment scoring Collections Full-text search Cross-source analysis Charts & statistics

Example: Analyzing 50,000 Google Reviews across 12 locations to identify service gaps by region.

StoryTime

One-click PowerPoint decks from any dataset. Sentiment overview, theme cards with representative quotes, demographic breakdowns, signal analysis, completion funnels. Branded with your logo, ready for the boardroom.

One-click PPTX Theme cards Quote highlights Signal tiers Demographic splits Custom branding

Example: A weekly stakeholder deck generated in seconds from the latest survey responses.

Ask Ana

Conversational AI that answers questions about your data. Ask “What are parents most concerned about?” and get answers grounded in actual responses — with citations, vote-weighted sampling, and configurable sample sizes.

Natural language Q&A Citation grounding Intelligent sampling Cross-dataset Streaming responses

Example: A researcher exploring 10,000 Reddit comments by asking natural language questions instead of building queries.

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Listening Posts

Listen

Capture what people are saying in the wild. Connect social accounts, pull public discourse, and funnel it all into Ana for deep analysis.

Social Monitoring

Connect Facebook and Instagram pages. Comments are ingested automatically, scored for sentiment and toxicity, tagged with topics and emotions, and routed for response. Auto-hide harmful content, auto-reply to common questions, send everything to TextMine for deep analysis.

Facebook & Instagram Auto-moderation Sentiment tagging AI auto-reply Content safety TextMine sync

Example: A brand monitoring 3 Instagram accounts — flagging negative comments in real-time, auto-hiding spam, tracking sentiment trends.

Reddit & Substack

Pull public discourse into your analytics pipeline. Download posts and comments from any subreddit or Substack publication, with full thread context and signal analysis — identifying mainstream consensus, emerging narratives, and noise.

Any subreddit Substack comments Signal tiers Thread context Trend tracking

Example: Tracking public sentiment on a policy issue across 5 subreddits over 6 months.

Google Reviews

Sync reviews from any Google Business location. Multi-location support, automatic refresh, sentiment and theme analysis across locations. Identify what drives satisfaction and where service gaps exist.

Multi-location Auto-sync Theme analysis Location comparison

Example: A restaurant group comparing guest feedback across 8 locations to identify training needs.

Public Comment (Regulations.gov)

Download public comments from federal dockets. Thousands of comments on proposed rules, ready for theme mining and sentiment analysis. Understand public response to regulatory proposals at scale.

Federal dockets Bulk download Theme mining Sentiment analysis

Example: Analyzing 15,000 public comments on a proposed EPA regulation to surface dominant concerns and coalition patterns.

Engage. Analyze. Listen.