Bringing AI to Life

We develop custom AI solutions for innovative companies.

Imagine if you could ask your customers anything - and get answers instantly.

Imagine if you could ask your customers anything - and get answers instantly.

Imagine if you could ask your customers anything - and get answers instantly.

TWINS

TWINS

TWINS

  • How can we make this product more attractive to Gen Z?

  • How should we position this for eco-conscious shoppers?

  • What would make you choose us over your usual brand

  • What motivates value seekers to try our new product?

  • What motivates value seekers to try our new product?

  • What would make you choose us over your usual brand

  • How should we position this for eco-conscious shoppers?

  • How can we make this product more attractive to Gen Z?

Say hello to AI Twins of Customers

Generate 300 AI Twins of…

Generate 300 AI Twins of Swiss Gen Z customers...

Generate

Generate 300 AI Twins of…

Generate 300 AI Twins of Swiss Gen Z customers...

Generate

Realistic digital customers, generated by AI

Customer Twins are lifelike, logic-consistent digital profiles that mirror how your real customers think, feel, and decide.

Generate an image of…

A smiling quokka.

Generate

Realistic digital customers, generated by AI

Customer Twins are lifelike, logic-consistent digital profiles that mirror how your real customers think, feel, and decide.

Generate 300 AI Twins of…

Generate an image of a quokka.

Generate

Realistic digital customers, generated by AI

Customer Twins are lifelike, logic-consistent digital profiles that mirror how your real customers think, feel, and decide.

Survey data

27.5.25

Transaction data

20.8.25

Transaction data

20.8.25

Survey data

27.5.25

Transaction data

20.8.25

Transaction data

20.8.25

Built from your customer reality

Every Twin is trained on your specific customer context. You can generate full segment-specific populations, from Gen Z snackers to value-driven parents, in a click.

Survey data

27.5.25

Transaction data

20.8.25

Transaction data

20.8.25

Built from your customer reality

Every Twin is trained on your specific customer context. You can generate full segment-specific populations, from Gen Z snackers to value-driven parents, in a click.

Survey data

27.5.25

Transaction data

20.8.25

Transaction data

20.8.25

Built from your customer reality

Every Twin is trained on your specific customer context. You can generate full segment-specific populations, from Gen Z snackers to value-driven parents, in a click.

100+

Customer Twins

100+

Customer Twins

Built for real customer centricity

Forget guesswork. You can ask any question, from product fit to emotional response, and get instant, human-like answers. It’s like having hundreds of real customers on call.

100+

Customer Twins

Built for real customer centricity

Forget guesswork. You can ask any question, from product fit to emotional response, and get instant, human-like answers. It’s like having hundreds of real customers on call.

100+

Customer Twins

Built for real customer centricity

Forget guesswork. You can ask any question, from product fit to emotional response, and get instant, human-like answers. It’s like having hundreds of real customers on call.

Write your question…

And why would that make you try?

What would make you try this for the first time?

If a friend sent it with 'this is so you'

Write your question…

And why would that make you try?

What would make you try this for the first time?

If a friend sent it with 'this is so you'

Designed to drive confident decisions

Teams use Twins to test ideas, refine messaging, and simulate market reactions — all before spending a cent. Faster paths to better decisions.

Write your question…

And why would that make you try?

What would make you try this for the first time?

If a friend sent it with 'this is so you'

Designed to drive confident decisions

Teams use Twins to test ideas, refine messaging, and simulate market reactions — all before spending a cent. Faster paths to better decisions.

Write your question…

And why would that make you try?

What would make you try this for the first time?

If a friend sent it with 'this is so you'

Designed to drive confident decisions

Teams use Twins to test ideas, refine messaging, and simulate market reactions — all before spending a cent. Faster paths to better decisions.

You ask. Hundreds of AI Twins respond. See what that looks like.

video pic
video pic
video pic
video pic

Our Approach

01

Population Modeling

We train full populations of hundreds of realistic individuals, not averages. This enables detailed insights across segments, including edge cases and behavioral patterns.

01

Population Modeling

We train full populations of hundreds of realistic individuals, not averages. This enables detailed insights across segments, including edge cases and behavioral patterns.

01

Population Modeling

We train full populations of hundreds of realistic individuals, not averages. This enables detailed insights across segments, including edge cases and behavioral patterns.

1 <data-source>
2 <segment> Gen Z </segment>
3 <channel> Instagram </channel>
4 <spend> CHF 18.60 </spend>
5 <tags> plant-based </tags>
6 <tags> low-waste </tags>
7 <interest-tags>
8 plant-based, low-waste 9 </interest-tags> 10 <survey_agree_rate> 11 76 percent 12 </survey_agree_rate> 13 <top_priority> 14 authenticity 15 </top_priority> 16 <status> 17 training complete

1 <data-source>
2 <segment> Gen Z </segment>
3 <channel> Instagram </channel>
4 <spend> CHF 18.60 </spend>
5 <tags> plant-based </tags>
6 <tags> low-waste </tags>
7 <interest-tags>
8 plant-based, low-waste 9 </interest-tags> 10 <survey_agree_rate> 11 76 percent 12 </survey_agree_rate> 13 <top_priority> 14 authenticity 15 </top_priority> 16 <status> 17 training complete

02

Your Proprietary Data

All twins are trained on your actual data. That includes first-party survey results, behavioral signals, and internal frameworks.

1 <data-source>
2 <segment> Gen Z </segment>
3 <channel> Instagram </channel>
4 <spend> CHF 18.60 </spend>
5 <tags> plant-based </tags>
6 <tags> low-waste </tags>
7 <interest-tags>
8 plant-based, low-waste 9 </interest-tags> 10 <survey_agree_rate> 11 76 percent 12 </survey_agree_rate> 13 <top_priority> 14 authenticity 15 </top_priority> 16 <status> 17 training complete

02

Your Proprietary Data

All twins are trained on your actual data. That includes first-party survey results, behavioral signals, and internal frameworks.

1 <data-source>
2 <segment> Gen Z </segment>
3 <channel> Instagram </channel>
4 <spend> CHF 18.60 </spend>
5 <tags> plant-based </tags>
6 <tags> low-waste </tags>
7 <interest-tags>
8 plant-based, low-waste 9 </interest-tags> 10 <survey_agree_rate> 11 76 percent 12 </survey_agree_rate> 13 <top_priority> 14 authenticity 15 </top_priority> 16 <status> 17 training complete

02

Your Proprietary Data

All twins are trained on your actual data. That includes first-party survey results, behavioral signals, and internal frameworks.

Retrieved

Relevant data

Ready

Update triggered

Skipped

Redundant data

Enforced

Data privacy enforced

+14%

Training accuracy

Retrieved

Relevant data

Ready

Update triggered

Skipped

Redundant data

Enforced

Data privacy enforced

+14%

Training accuracy

03

Dynamic Data Retrieval

A custom RAG system analyzes your question and retrieves only the data needed to train the twins—across surveys, CRM, and segmentations.

Retrieved

Relevant data

Ready

Update triggered

Skipped

Redundant data

Enforced

Data privacy enforced

+14%

Training accuracy

03

Dynamic Data Retrieval

A custom RAG system analyzes your question and retrieves only the data needed to train the twins—across surveys, CRM, and segmentations.

Retrieved

Relevant data

Ready

Update triggered

Skipped

Redundant data

Enforced

Data privacy enforced

+14%

Training accuracy

03

Dynamic Data Retrieval

A custom RAG system analyzes your question and retrieves only the data needed to train the twins—across surveys, CRM, and segmentations.

Proven Impact

Cost reduction

85%

85%

85%

Compared to traditional research, Customer Twins reduce costs by up to 85% per project.

Faster

80%

Insights delivered in minutes, not weeks. Teams move from question to clarity up to 15× faster.

Faster

80%

Insights delivered in minutes, not weeks. Teams move from question to clarity up to 15× faster.

Faster

80%

Insights delivered in minutes, not weeks. Teams move from question to clarity up to 15× faster.

Result alignment

95%

In validation studies, Customer Twins matched traditional research outcomes with 95% accuracy.

Result alignment

95%

In validation studies, Customer Twins matched traditional research outcomes with 95% accuracy.

Result alignment

95%

In validation studies, Customer Twins matched traditional research outcomes with 95% accuracy.

Market penetration

+15%

Products launched with Customer Twins achieved 15% higher market penetration by better matching segment needs.

Market penetration

+15%

Products launched with Customer Twins achieved 15% higher market penetration by better matching segment needs.

Market penetration

+15%

Products launched with Customer Twins achieved 15% higher market penetration by better matching segment needs.

Leadership & Experts

Co-Founder and Chief Executive Officer

Dr. Cindy Candrian

Co-Founder and Chief Executive Officer

Dr. Cindy Candrian

Co-Founder and Chief Executive Officer

Dr. Cindy Candrian

Co-Founder and Chief Executive Officer

Dr. Cindy Candrian

Co-Founder and Chief Revenue Officer

Dr. Anne Scherer

Co-Founder and Chief Revenue Officer

Dr. Anne Scherer

Co-Founder and Chief Revenue Officer

Dr. Anne Scherer

Co-Founder and Chief Revenue Officer

Dr. Anne Scherer

Chief Happiness Officer

Benji

Chief Happiness Officer

Benji

Chief Happiness Officer

Benji

Chief Happiness Officer

Benji

Chief Technology Officer

Pavel Svitek

Chief Technology Officer

Pavel Svitek

Chief Technology Officer

Pavel Svitek

Chief Technology Officer

Pavel Svitek

Legal Advisor, Data Protection

Dr. Fabienne Genoud

Legal Advisor, Data Protection

Dr. Fabienne Genoud

Legal Advisor, Data Protection

Dr. Fabienne Genoud

Legal Advisor, Data Protection

Dr. Fabienne Genoud

Scientific Advisor, ETH Zurich

Prof. Dr. Florian von Wangenheim

Scientific Advisor, ETH Zurich

Prof. Dr. Florian von Wangenheim

Scientific Advisor, ETH Zurich

Prof. Dr. Florian von Wangenheim

Scientific Advisor, ETH Zurich

Prof. Dr. Florian von Wangenheim

From Zurich’s academic excellence to global industry trust, Delta Labs AG defines trusted Swiss innovation.

Delta Labs AG is officially recognized as a startup by the University of Zurich, embodying the spirit of innovation and academic excellence that UZH stands for.

Your Trusted AI Partner

From Zurich’s academic excellence to global industry trust, Delta Labs AG defines trusted Swiss innovation.

Delta Labs AG is officially recognized as a startup by the University of Zurich, embodying the spirit of innovation and academic excellence that UZH stands for.

Your Trusted AI Partner

From Zurich’s academic excellence to global industry trust, Delta Labs AG defines trusted Swiss innovation.

Delta Labs AG is officially recognized as a startup by the University of Zurich, embodying the spirit of innovation and academic excellence that UZH stands for.

Your Trusted AI Partner

Answers

We've gone ahead and answered some of the questions you might have.

How do I use the platform?

How does implementation work?

What kind of data is needed for training — and do I have enough data?

Which teams use Customer Twins?

Are the insights from AI Customer Twins really valid?

How is my customer data handled and protected?

How do I use the platform?

How does implementation work?

What kind of data is needed for training — and do I have enough data?

Which teams use Customer Twins?

Are the insights from AI Customer Twins really valid?

How is my customer data handled and protected?

How do I use the platform?

How does implementation work?

What kind of data is needed for training — and do I have enough data?

Which teams use Customer Twins?

Are the insights from AI Customer Twins really valid?

How is my customer data handled and protected?