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The most advanced Frontend for Conversational AI

Build, prototype, train & publish your conversations & speech models as easy as never before.

Parloa Speech Assets Model Train Intent Slots
Parloa Drag Drop Frontend Flow Chart Editor

Made for your entire team.

Made for VUI designers.

Drag & Drop flow builder. Visual SSML editor. Autocomplete. Text Snippets. And more.

Made for product owners.

Keep track of each dialogue flow, challenge it with your responsible team and present it on the spot to your manager.

Parloa Frontend State Response SSML Parloa Frontend JavaScript Developer Code

Made for developers.

Use JavaScript in Storages and Conditions or connect every external code in Services.

Made for trainers.

Keep track of every past conversation and train your speech model with real data at one place.

The drag & drop flow builder.

Parloa Drag Drop Frontend Flow Chart Editor

Building automated dialogs couldn’t be simpler – and never more colorful!

You can easily create great dialog experiences per drag & drop. It provides a clear interface for copywriters, product owners & developers. Complex dialogs are mapped more easily than ever before thanks to several blocks:


Write your responses and define intents for subsequent user interactions.


Connect Parloa to every external code or service such as CRMs, ERPs and exchange data with it.


Branch your dialog based on user inputs or other back-end requirements.


Set and alter specific user’s inputs or other conversational values in variables.

To Prev. States

Handle unexpected user inputs without losing track in your conversation.

Call Controls

Easily forward a call or use SIP REFER, whenever it’s time for a human to take over.

Parloa Subdialogs Structure reusable

And always stay on top of things:

Organize dialogs into reusable subdialogs.

Ever lost track of your complex dialogs? Put an end to confusing flowcharts and say ‘Hi’ to Parloa’s subdialogs:

  • Keep track of your dialog flow and go deeper into the dialog with each subdialog
  • Create dialogs or functional logics (e.g. customer authentication) once to refer to them at different places in your dialog

The best debugger since debugging.

Anyone can design dialogs. But making them work is the real art. This is why we have invented the Parloa Debugger.

It helps you find logic errors in your conversation flow, interpret NLU responses, and understand why external services may not be responding correctly.

  • Access all context information of platform and user values, conditions, or back-end connections
  • Highlight changes to find what’s broken faster
  • Analyze NLU confidence levels for intents & slots
  • Jump to the affected dialog section with one click
Parloa Debug Phone Bot Phonebot Test Prototype

The visual SSML response editor.

You'll be speechless, but it'll just get you chatting!

Thanks to Parloa’s intuitive autocompletion you can write state-dependent but dynamic responses for each channel, without writing a line of code yourself!

Visual SSML Editor No Code Lowcode Phoneme Prosody Say-as
Add several responses per State
Vary your dialogue with varied responses based on user intent.
Vary responses per Channel
Different channels require different responses, e.g. in the difference between text and sound.
Define Reprompts per Response
You can also provide varied answers to misunderstandings between humans and machines.
Reuse Text Snippets
Why write “Ok” over and over again when you can work with reusable varied Text Snippets?
Use context variables
Write individual & consistent responses per sessions thanks to both platform & user inputs.
  • Various responses for your channels
    Define separate response elements for each voice or text channel – because “😍” can’t be read out loud by Alexa.
  • Built-in SSML tags list
    Use all common SSML tags (e.g. <audio> or <say-as>) and also platform specific effects & layers to optimize the sound of your answers.
  • Contextual variables
    Create individual responses, using platform context and user input to maximize both consistency and variety of speech.

Because automation does not mean standardization:

Use (conditional) text snippets.

We invented the Text Snippets for maintaining important and reusable text modules in a separate place.

This allows you to customize texts for the entire dialog with just a few clicks.

Talk to your customers based on conditional text entries, reference Text Snippets in other texts, and chose the right selection strategy (random, ordered, etc.) – because your customers deserve the best possible automated experience!

Text Snippets Responses Conditional Dynamic Texts
A safe place for your texts
To minimize the complexity in the Conversational Flow, you will find Text Snippets in a separate view.
Keyword search
Type in a word from your dialog and find what you wrote in no time thanks to keyword search.
Change selection settings
Let Parloa chose your texts randomly, ordered or cyclical in order to improve your customer’s experience.
Conditional Entries
Embellish every dialog with only a few lines of JavaScript. Use Conditional Entries to pick up user details and platform inputs, such as time of day, and create dynamic and customized experiences.
Reuse Text Snippets
Create important or recurring text modules once and reuse them in other Text Snippets. For example, you can easily reuse your company name in other Text Snippets – and change it with only one click.

The Speech Model Editor

Manage your NLU without a line of code.

Define all intents, train them with utterances, create your dictionary for synonyms and receive variable user inputs in slots.

Speech Model Intents Slots Assets Customize Edit
Individual Configurations
Decide for each intent on which channel it is needed and wether it should be triggered on events, or set custom confidence thresholds.
Add utterances
Teach the NLU about possible words and phrases that can be said or written for this Intent. Of course you can also upload your existing training data via Bulk Edit.
Ready for synonyms
Define Dictionary entries for synonyms and reuse it everywhere in Parloa.
Use Slots
Use predefined slots (e.g. ) or rely on machine learning and give the NLU hints in your utterances what to expect.
  • Add Intents in the blink of an eye
    Enable and disable specific intents for your platforms with one click, define different confidence levels, or trigger them only for specific events.
  • Write Utterances or use Bulk Edit to upload your existing training data
    Easily use your existing training data via Bulk Edit to train your NLU – or write it yourself.
  • Benefit from your own dictionary
    We invented the Parloa Dictionary to save you time when creating Utterances.
Learn more about the AI

Learn from past conversations

Training makes the dream work.

Sustainable automation in customer communication starts with collecting training data.

And with Parloa you can not only keep an eye on past conversations but also train your NLU directly by adding unmatched utterances to your intents from the unique Parloa NLU Training Interface.

Learn more about the NLU Training
Parloa NLU Training Intents Utterances Confidence
Use Filters
Filter by confidence levels, specific intents, or time periods to improve your NLU focused.
Assign the correct intent
Just select the right intent for misunderstood utterances. The rest is magic.
Review the entire conversation.
If a misunderstood utterance is ambiguous, get context through the conversation history.

We’re there for you πŸ’™

We are bot-builders and we will make you one, too. You can count on our Parloa expertise and support with all your concerns.

Because we care not only about your success, but also about working together as people.

Lukas + Selina

Want to peek at this beautiful Frontend?

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