Developers our Unlock revenue

Developers our Unlock revenue

Developers our Unlock revenue

without charging users

without charging users

without charging users

Thrads provides a seamless way to generate revenue from your conversational AI product. Our API integrates with your existing LLM implementation, delivering contextually relevant ads that enhance rather than interrupt user experience.

Thrads provides a seamless way to generate revenue from your conversational AI product. Our API integrates with your existing LLM implementation, delivering contextually relevant ads that enhance rather than interrupt user experience.

Thrads provides a seamless way to generate revenue from your conversational AI product. Our API integrates with your existing LLM implementation, delivering contextually relevant ads that enhance rather than interrupt user experience.

Why Monetize With

Thrad?

Why Monetize With

Thrad?

Thrad?

For Developers

Thrad?

UX UI Control

UX UI Control

UX UI Control

UX UI Control

UX UI Control

Ad Frequency

Ad Frequency

Ad Frequency

Ad Frequency

Ad Frequency

Data Privacy

Data Privacy

Data Privacy

Data Privacy

Data Privacy

Transparent Monetisation

Transparent Monetisation

Transparent Monetisation

Transparent Monetisation

Transparent Monetisation

Data Ownership

Data Ownership

Data Ownership

Data Ownership

Data Ownership

Complete Control

100% customizable Customize frequency, categories, and presentation to match your app's voice

Ad

Ad

Ad

Ad

Enhanced Experience

2x engagement Contextually relevant ads that complement rather than disrupt conversations

13.2K

Scalable Monetization

Earn for every click with no ceiling as your user base grows, your revenue too

Why Monetize With

Thrad?

How Thrad Works

How Thrad Works

Quick Integration

Implement our lightweight API with just a few lines of code

class Sampling(layers.Layer):

    """Uses (mean, log_var) to sample z, the vector encoding a digit."""

 

    def call(self, inputs):

        mean, log_var = inputs

        batch = tf.shape(mean)[0]

        dim = tf.shape(mean)[1]

        return mean + tf.exp(0.5 * log_var) * epsilon

Quick Integration

Implement our lightweight API with just a few lines of code

class Sampling(layers.Layer):

    """Uses (mean, log_var) to sample z, the vector encoding a digit."""

 

    def call(self, inputs):

        mean, log_var = inputs

        batch = tf.shape(mean)[0]

        dim = tf.shape(mean)[1]

        return mean + tf.exp(0.5 * log_var) * epsilon

Quick Integration

Implement our lightweight API with just a few lines of code

class Sampling(layers.Layer):

    """Uses (mean, log_var) to sample z, the vector encoding a digit."""

 

    def call(self, inputs):

        mean, log_var = inputs

        batch = tf.shape(mean)[0]

        dim = tf.shape(mean)[1]

        return mean + tf.exp(0.5 * log_var) * epsilon

Customize & Configure

Set your preferences for ad frequency, content categories, and presentation style

  • Chat ID

  • Meta Deta

  • Custom UI UX

  • Ad Control

  • Privacy Management

  • Data Control

  • Data Control

  • Privacy Management

  • Ad Control

  • Custom UI UX

  • Meta Deta

  • Chat ID

  • Chat ID

  • Meta Deta

  • Ad Control

  • Privacy Management

  • Custom UI UX

  • Data Control

  • Meta Deta

  • Ad Control

  • Data Control

  • Chat ID

  • Custom UI UX

  • Privacy Management

Verified

Customize & Configure

Set your preferences for ad frequency, content categories, and presentation style

  • Chat ID

  • Meta Deta

  • Custom UI UX

  • Ad Control

  • Privacy Management

  • Data Control

  • Data Control

  • Privacy Management

  • Ad Control

  • Custom UI UX

  • Meta Deta

  • Chat ID

  • Chat ID

  • Meta Deta

  • Ad Control

  • Privacy Management

  • Custom UI UX

  • Data Control

  • Meta Deta

  • Ad Control

  • Data Control

  • Chat ID

  • Custom UI UX

  • Privacy Management

Verified

45

35

25

15

5

0

-5

Earn & Scale

Start generating revenue immediately and scale earnings as your user base grows

45

35

25

15

5

0

-5

Customize & Configure

Set your preferences for ad frequency, content categories, and presentation style

  • Chat ID

  • Meta Deta

  • Custom UI UX

  • Ad Control

  • Privacy Management

  • Data Control

  • Data Control

  • Privacy Management

  • Ad Control

  • Custom UI UX

  • Meta Deta

  • Chat ID

  • Chat ID

  • Meta Deta

  • Ad Control

  • Privacy Management

  • Custom UI UX

  • Data Control

  • Meta Deta

  • Ad Control

  • Data Control

  • Chat ID

  • Custom UI UX

  • Privacy Management

Verified

Customize & Configure

Set your preferences for ad frequency, content categories, and presentation style

  • Chat ID

  • Meta Deta

  • Custom UI UX

  • Ad Control

  • Privacy Management

  • Data Control

  • Data Control

  • Privacy Management

  • Ad Control

  • Custom UI UX

  • Meta Deta

  • Chat ID

  • Chat ID

  • Meta Deta

  • Ad Control

  • Privacy Management

  • Custom UI UX

  • Data Control

  • Meta Deta

  • Ad Control

  • Data Control

  • Chat ID

  • Custom UI UX

  • Privacy Management

Verified

45

35

25

15

5

0

-5

Earn & Scale

Start generating revenue immediately and scale earnings as your user base grows

45

35

25

15

5

0

-5

45

35

25

15

5

0

-5

Earn & Scale

Start generating revenue immediately and scale earnings as your user base grows

45

35

25

15

5

0

-5

45

35

25

15

5

0

-5

Earn & Scale

Start generating revenue immediately and scale earnings as your user base grows

45

35

25

15

5

0

-5

45

35

25

15

5

0

-5

Earn & Scale

Start generating revenue immediately and scale earnings as your user base grows

45

35

25

15

5

0

-5

Quick Integration

Implement our lightweight API with just a few lines of code

class Sampling(layers.Layer):

    """Uses (mean, log_var) to sample z, the vector encoding a digit."""

 

    def call(self, inputs):

        mean, log_var = inputs

        batch = tf.shape(mean)[0]

        dim = tf.shape(mean)[1]

        return mean + tf.exp(0.5 * log_var) * epsilon

Quick Integration

Implement our lightweight API with just a few lines of code

class Sampling(layers.Layer):

    """Uses (mean, log_var) to sample z, the vector encoding a digit."""

 

    def call(self, inputs):

        mean, log_var = inputs

        batch = tf.shape(mean)[0]

        dim = tf.shape(mean)[1]

        return mean + tf.exp(0.5 * log_var) * epsilon

Customize & Configure

Set your preferences for ad frequency, content categories, and presentation style

  • Chat ID

  • Meta Deta

  • Custom UI UX

  • Ad Control

  • Privacy Management

  • Data Control

  • Data Control

  • Privacy Management

  • Ad Control

  • Custom UI UX

  • Meta Deta

  • Chat ID

  • Chat ID

  • Meta Deta

  • Ad Control

  • Privacy Management

  • Custom UI UX

  • Data Control

  • Meta Deta

  • Ad Control

  • Data Control

  • Chat ID

  • Custom UI UX

  • Privacy Management

Verified

Customize & Configure

Set your preferences for ad frequency, content categories, and presentation style

  • Chat ID

  • Meta Deta

  • Custom UI UX

  • Ad Control

  • Privacy Management

  • Data Control

  • Data Control

  • Privacy Management

  • Ad Control

  • Custom UI UX

  • Meta Deta

  • Chat ID

  • Chat ID

  • Meta Deta

  • Ad Control

  • Privacy Management

  • Custom UI UX

  • Data Control

  • Meta Deta

  • Ad Control

  • Data Control

  • Chat ID

  • Custom UI UX

  • Privacy Management

Verified

45

35

25

15

5

0

-5

Earn & Scale

Start generating revenue immediately and scale earnings as your user base grows

45

35

25

15

5

0

-5

45

35

25

15

5

0

-5

Earn & Scale

Start generating revenue immediately and scale earnings as your user base grows

45

35

25

15

5

0

-5

Quick Integration

Implement our lightweight API with just a few lines of code

class Sampling(layers.Layer):

    """Uses (mean, log_var) to sample z, the vector encoding a digit."""

 

    def call(self, inputs):

        mean, log_var = inputs

        batch = tf.shape(mean)[0]

        dim = tf.shape(mean)[1]

        return mean + tf.exp(0.5 * log_var) * epsilon

Quick Integration

Implement our lightweight API with just a few lines of code

class Sampling(layers.Layer):

    """Uses (mean, log_var) to sample z, the vector encoding a digit."""

 

    def call(self, inputs):

        mean, log_var = inputs

        batch = tf.shape(mean)[0]

        dim = tf.shape(mean)[1]

        return mean + tf.exp(0.5 * log_var) * epsilon

Customize & Configure

Set your preferences for ad frequency, content categories, and presentation style

  • Chat ID

  • Meta Deta

  • Custom UI UX

  • Ad Control

  • Privacy Management

  • Data Control

  • Data Control

  • Privacy Management

  • Ad Control

  • Custom UI UX

  • Meta Deta

  • Chat ID

  • Chat ID

  • Meta Deta

  • Ad Control

  • Privacy Management

  • Custom UI UX

  • Data Control

  • Meta Deta

  • Ad Control

  • Data Control

  • Chat ID

  • Custom UI UX

  • Privacy Management

Verified

Customize & Configure

Set your preferences for ad frequency, content categories, and presentation style

  • Chat ID

  • Meta Deta

  • Custom UI UX

  • Ad Control

  • Privacy Management

  • Data Control

  • Data Control

  • Privacy Management

  • Ad Control

  • Custom UI UX

  • Meta Deta

  • Chat ID

  • Chat ID

  • Meta Deta

  • Ad Control

  • Privacy Management

  • Custom UI UX

  • Data Control

  • Meta Deta

  • Ad Control

  • Data Control

  • Chat ID

  • Custom UI UX

  • Privacy Management

Verified

45

35

25

15

5

0

-5

Earn & Scale

Start generating revenue immediately and scale earnings as your user base grows

45

35

25

15

5

0

-5

45

35

25

15

5

0

-5

Earn & Scale

Start generating revenue immediately and scale earnings as your user base grows

45

35

25

15

5

0

-5

How

Thrad Works

How

Thrad Works

Developers

Unlock Revenue Without Charging Your Users

Thrads provides a seamless way to generate revenue from your conversational AI product. Our API integrates with your existing LLM implementation, delivering contextually relevant ads that enhance rather than interrupt user experience.

TRY NOW

Launch you first
Campaign in AI

Only pay per Click - Only Pay per Performance

Millions

Users

10%

CTR

50%

Cheaper CPC

Ad

Developers

Unlock Revenue Without Charging Your Users

Thrads provides a seamless way to generate revenue from your conversational AI product. Our API integrates with your existing LLM implementation, delivering contextually relevant ads that enhance rather than interrupt user experience.

Contact Us

+33610344899

600 California St San Francisco, CA 94108

contact@thrads.ai

© 2025 Thrad. All rights reserved.

Contact Us

+33610344899

600 California St San Francisco, CA 94108

contact@thrads.ai

© 2025 Thrad. All rights reserved.

Contact Us

+33610344899

600 California St San Francisco, CA 94108

contact@thrads.ai

© 2025 Thrad. All rights reserved.

Contact Us

+33610344899

600 California St San Francisco, CA 94108

contact@thrads.ai

© 2025 Thrad. All rights reserved.

Contact Us

+33610344899

600 California St San Francisco, CA 94108

contact@thrads.ai

© 2025 Thrad. All rights reserved.

TRY NOW

Launch you first
Campaign in AI

Only pay per Click - Only Pay per Performance

Millions

Users

10%

CTR

50%

Cheaper CPC

Ad

TRY NOW

Launch you first
Campaign in AI

Only pay per Click - Only Pay per Performance

Millions

Users

10%

CTR

50%

Cheaper CPC

Ad

TRY NOW

Launch you first
Campaign in AI

Only pay per Click - Only Pay per Performance

Millions

Users

10%

CTR

50%

Cheaper CPC

Ad

TRY NOW

Launch you first
Campaign in AI

Only pay per Click - Only Pay per Performance

Millions

Users

10%

CTR

50%

Cheaper CPC

Ad

TRY NOW

Launch you first
Campaign in AI

Only pay per Click - Only Pay per Performance

Millions

Users

10%

CTR

50%

Cheaper CPC

Ad

Millions

Users

10%

CTR

50%

Cheaper CPC

TRY NOW

Launch you first
Campaign in AI

Only pay per Click - Only Pay per Performance

Millions

Users

10%

CTR

50%

Cheaper CPC

Ad

Millions

Users

10%

CTR

50%

Cheaper CPC

TRY NOW

Launch you first
Campaign in AI

Only pay per Click - Only Pay per Performance

Millions

Users

10%

CTR

50%

Cheaper CPC

Ad

Millions

Users

10%

CTR

50%

Cheaper CPC

TRY NOW

Launch you first
Campaign in AI

Only pay per Click - Only Pay per Performance

Millions

Users

10%

CTR

50%

Cheaper CPC

Ad

Millions

Users

10%

CTR

50%

Cheaper CPC