Datics AI
AI for MarTech

Moodly by Datics AI

Paste a campaign's posts and see how the audience feels, on one scale across every channel.

Agencies stop exporting raw comments. Moodly scores every comment on a campaign's posts with a model for each signal, puts every channel on the same scale and drafts a summary the account lead edits before sharing.

See it in your platform Try the demo

Built into your codebase and shipped under your name, on an engine we license to you.

murmurline.example/campaigns/tidewell-spring-launch

Halyard and Finch · Moodly

Demo

How is the Tidewell Coffee spring launch landing?

Report waiting for the account lead

  • 18,460 comments scored on one 0 to 100 scale
  • 2 X posts below neutral, with the comments behind them
  • Summary drafted, shared only after the account lead edits it

42 posts scoredSame scale per channelAccount lead shares

Try it step by step

Illustrative demo on a fictional agency. Not client work.

Try it step by step

Moodly on a fictional agency.

Halyard and Finch (fictional). Step through the conversation, then see what Moodly hands back, the way your Build Sprint would build it on synthetic data.

murmurline.example/campaigns/tidewell-spring-launch

Halyard and Finch · Moodly

Demo

  • How is the Tidewell Coffee spring launch landing?

Step 1 of 5

Illustrative demo on a fictional agency. Not client work.

What it hands back

murmurline.example/campaigns/tidewell-spring-launch

Campaign report · Tidewell Spring Launch

Halyard and Finch · 42 posts, 5 channels

Moodly
Average sentiment
64 of 100 · 50 is neutral
Done
Highest and lowest
TikTok 71 · X 47
Done
Below neutral
2 X posts, 38 and 41 · price complaints
Check
Severe toxicity
37 of 18,460 comments · on the 2 X posts
Check
AI summary
Drafted beside each chart · account lead to edit
Waiting

Every score links to the comments behind it. Users can flag any result, and only the account lead shares the report.

Illustrative demo on a fictional agency. Not client work.

What it does

What Moodly can do.

A sentiment engine and campaign report for social and influencer platforms: dedicated models for sentiment, emotion, toxicity and sarcasm, one 0 to 100 score where 50 is neutral, and an editable AI summary beside each chart.

A model for each signal

Sentiment, five emotions, toxicity graded clean, moderate or severe, and sarcasm, across languages.

One scale for every channel

Positive, neutral and negative shares turned into a 0 to 100 score where 50 is neutral.

Reactions scored on their own

Each reaction carries its own sentiment beside the comment scores, so a missing one never drags a post down.

Campaign report with summaries

Sentiment by platform, format, date, language and audience, with an editable AI summary beside each chart.

Flags on wrong results

Users flag a score they disagree with, and each flag is stored for review and model improvement.

How it works

Efficient pre-trained models score each new comment for sentiment, emotion, toxicity and sarcasm, and a larger model drafts the summaries. Scores roll up by platform, format, language and audience on one scale, and every flag on a wrong result is kept for review.

Built on a sentiment engine and campaign reports we have built for an influencer analytics platform.

SenTrac

Social listening · Campaign sentiment

Agencies see how audiences feel about a campaign, scored fairly across six channels

Agencies copied comments by hand and misread sarcasm and emoji; now SenTrac scores every comment and compares channels on one scale.

AI-native productHuman approvalIntegrations
Read case study

SenTrac

Social data · Collection within API rules

Campaign reports use only the data each platform allows, refreshed within its limits

Social APIs are gated, capped and change often; we built SenTrac's data layer so each platform's rules and limits hold and reports stay current.

Data foundationAI-native productIntegrations
Read case study

Sparrow Marketing

Social inbox · Comment ranking

Social managers see the comments worth answering first, learned from their own choices

Managers dug through three platforms for the comments that mattered; now one ranked queue puts them on top and sets junk and spam aside.

Brownfield AIHuman approvalInside a live product
Read case study

Why it sells

What Moodly does for your business.

What your agencys get, and what it does for your renewals and pricing.

Numbers agencies can defend

Every channel on the same scale, with the comments behind each score.

Reports in minutes

A shareable report, not a spreadsheet of raw comments.

A premium report tier

Emotion, toxicity and comparison reports can be sold on higher plans.

Built for:Social listening and influencer platforms

Controls

What Moodly touches, and who approves.

Your agencys' data is not used to train models for anyone else and stays in your cloud. Built and tested on synthetic or test data.

  • Who uses it

    Agency account leads, brand teams, campaign analysts

  • What it connects to

    Your collected comments, reactions and post metrics

  • What a person approves

    The account lead edits every summary and shares every report

  • Switch per agency

    On or off for each agency, with data settings their admins control.

See all controls and how we handle social and audience data

How to get it

Two steps to a finished Moodly.

Start with a three-week Build Sprint. Add more only if you want it.

  1. First · Build Sprint · $10,000 fixed

    Agencies see how the audience feels about a campaign

    • A model for each signal
    • One scale for every channel
    • Campaign report with summaries
    • In your staging, behind a feature flag
    • Delivered as pull requests
    • A test set your team reviews
    1. Week 1Setup
    2. Weeks 2 to 3Build
    3. You getMoodly in your staging and a fixed production quote
    Your time
    About 2 to 3 hours a week from a product owner
    Data
    Synthetic or test data, never your agencys' customers
    The fee
    Counts toward production
    See Moodly in your platform See a sample Build Sprint Pack

  2. Then · Live in production

    A finished product, yours to run

    • Fixed quote
    • Tested before launch
    • Switch per agency
    • A finished, working Moodly in your product
    • Runs in your cloud, under your name
    • Fixed quote, agreed before we start

  3. Optional · Add more later

    Only if you want it

    More of Moodly:

    • Reactions scored on their own
    • Flags on wrong results

    Another module:

    • Each one quoted on its own
    • Nothing ongoing unless you ask

Already built or tried AI? Get it scored with the AI Scorecard. Need something else? Start with a Planning Sprint.

FAQ

Questions about Moodly.

Does it handle sarcasm and emoji?

Yes. Sarcasm has its own model, emoji and reactions carry their own sentiment, and the models work across languages.

Why not one large language model for everything?

At comment volume, dedicated pre-trained models are faster and cheaper, and each one does a single job well. A larger model is kept for the summaries.

Why do angry but polite comments read as moderate, not severe?

A toxicity model alone scored them near zero, so anger counts at half weight. Anger alone can reach moderate, and only real hate speech or profanity reaches severe.

See Moodly on your own product.

Bring your product and one workflow. In 30 minutes we look at where Moodly fits, what it would cost to serve and what your agencys' security review will ask.

Book a 30-minute Product Review All martech modules

Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.

See Moodly in your platform