TekstisAI

AI analytics for every text channel

status Live
engine Vertex AI / Gemini
input DMs & chatssupport ticketssocial comments
output sentimentintenttopic_clusters
Watch the trailer

Your customers are talking. Can you hear all of it?

Feedback pours in across DMs, support tickets, internal chats, and social comments. Reading it all is impossible, and sampling misses the patterns that matter. The signal is there — buried in unstructured text.

Input / output

What goes in, what comes out

You connect

Direct messages

DMs from your social channels

Support tickets

Your helpdesk stream

Internal chats

Team chat logs

Social posts & comments

Public conversation about you

engine Vertex AI / Gemini

You get back

Sentiment & trend breakdowns

How people feel about you, message by message and over time

Customer intent

What each person is actually asking for

Recurring themes & issues

Conversations grouped automatically into the problems that keep coming up

Conversation classifications

Every chat, ticket, and thread categorized by type

Per-agent performance

Ratings and recurring patterns for every agent

Live dashboards

Interactive views of your channels, trends, and teams

Plus clean structured export straight into your pipeline.

How it works

From raw text to decisions in three steps

  1. Connect your sources

    Pipe in DMs, support tickets, chat logs, and social posts & comments.

  2. AI reads and structures

    The same Vertex AI / Gemini engine behind DialyzeAI extracts sentiment, intent, topics, and issues — then categorizes each conversation and breaks results down per agent.

  3. Insights & dashboards

    Get structured output and live dashboards your team can act on.

Capabilities

What TekstisAI gives you

Multi-source ingestion
DMs, internal chats, support tickets, social posts and comments — analyzed together.
Sentiment & intent
Know how people feel and what they want, message by message.
Topic & issue clustering
Automatically group conversations into themes and recurring problems.
Session categorization
Auto-classify every conversation by type, so you can see what your channels are actually about.
Per-agent analysis
Break down performance and recurring patterns for each agent — the operator-level scoring from DialyzeAI, applied to text.
Systemic insights
Go beyond single conversations to surface cross-session patterns and recurring root causes across your whole dataset.
Live dashboards
Track trends over time with dashboards built from your own data.
Structured output
Export clean, structured data straight into your pipeline.

Pricing

Pricing built around you

Pricing scales with your sources and volume. Tell us about your channels and we’ll tailor a plan.

Sources
Which channels you connect — DMs, tickets, chats, comments
Volume
How much text flows through them

Gen 3.0

The balanced default for text analytics.

Gen 3.5

The deepest analysis, for nuanced, high-stakes channels.

Gen 2.5 Available as the lowest-cost option — a weaker fit for text analytics, and not what we recommend here.

Use cases

Where teams use TekstisAI

Support teams

Spot rising issues across tickets before they become escalations.

Community & social

Measure sentiment across social comments and DMs at scale.

Product teams

Turn scattered feedback into a prioritized signal.

Operations

Analyze internal chats to find process friction.

Pairs well with DialyzeAI — the same analysis, for your recorded calls.

Explore DialyzeAI

Contact

Turn your text into insight

Get in touch to see TekstisAI working on your own channels.