Explore
Know which concepts and features will move adoption before you build.
Elaiia builds a living model of your customers, so every team can simulate decisions before making them.



Trusted by GLOBAL LEADERS









Trusted by GLOBAL LEADERS









Trusted by GLOBAL LEADERS








































Access ready-to-use customer populations built on millions of real-world signals across markets, demographics, attitudes and behaviours. Start simulating immediately, with no lengthy setup or first-party data required.
Calibrate the global population to your customers, markets and segments. Enrich it with your own behavioural data and business context to create a model unique to your company.
Ask one persistent customer model before every decision, across teams and markets. Each simulation adds reusable insights and context; real-world outcomes can refine it.
See which options are likely to win, how customer segments respond and what drives their choices. Make better decisions before you invest, build or launch.
Customer-led decisions
From product to marketing, every team acts on real customer insight, not assumptions.
INTELLIGENCE FOR EVERY DECISION
Customer evidence has always been rationed by time and cost. Research is commissioned project by project, leaving teams to connect findings across separate studies. Elaiia makes that intelligence continuous—and available for every decision.
From individual studies to continuous customer intelligence, for every study.

Most traditional research starts with what people say. Elaiia starts with how people behave.
From validation to collaboration
Customer intelligence as a creative collaborator, not a validation step at the end.
Better decisions, built on what you learn. Your outcomes refine your model
Explore
Know which concepts and features will move adoption before you build.

Pricing
Test price, packaging and elasticity before changing the market.
Marketing
Predict how audiences respond before campaigns go live.
Innovation
Explore new propositions before they exist in the market.
Strategy
Simulate customer response before major decisions are made.
RGM
Model promotions, portfolio and growth decisions before execution.
From validation to collaboration
Customer intelligence as a creative collaborator, not a validation step at the end.
Better decisions, built on what you learn. Your outcomes refine your model
Explore
Know which concepts and features will move adoption before you build.

Pricing
Test price, packaging and elasticity before changing the market.
Marketing
Predict how audiences respond before campaigns go live.
Innovation
Explore new propositions before they exist in the market.
Strategy
Simulate customer response before major decisions are made.
RGM
Model promotions, portfolio and growth decisions before execution.
From validation to collaboration
Customer intelligence as a creative collaborator, not a validation step at the end.
Better decisions, built on what you learn. Your outcomes refine your model
Explore
Know which concepts and features will move adoption before you build.

Pricing
Test price, packaging and elasticity before changing the market.
Marketing
Predict how audiences respond before campaigns go live.
Innovation
Explore new propositions before they exist in the market.
Strategy
Simulate customer response before major decisions are made.
RGM
Model promotions, portfolio and growth decisions before execution.
What a generic model cannot give you.
Use your own segments, data and business context.
Start with global customer populations before any integration work.
One customer intelligence layer for the whole company. Every team can use the same understanding of your customers to make better decisions.
Ground decisions in how customers behave, not only what they say.
Your own evidence and real-world outcomes can refine your model over time, helping teams make better-informed decisions as they use it.
Designed for secure, repeatable use across large organisations.
Your calibrated audience persists. Your own new evidence and real-world outcomes can refine your model over time, so each decision can start with a richer understanding of your customers than the last.
What a generic model cannot give you.
Use your own segments, data and business context.
Start with global customer populations before any integration work.
One customer intelligence layer for the whole company. Every team can use the same understanding of your customers to make better decisions.
Ground decisions in how customers behave, not only what they say.
Your own evidence and real-world outcomes can refine your model over time, helping teams make better-informed decisions as they use it.
Designed for secure, repeatable use across large organisations.
Your calibrated audience persists. Your own new evidence and real-world outcomes can refine your model over time, so each decision can start with a richer understanding of your customers than the last.
What a generic model cannot give you.
Use your own segments, data and business context.
Start with global customer populations before any integration work.
One customer intelligence layer for the whole company. Every team can use the same understanding of your customers to make better decisions.
Ground decisions in how customers behave, not only what they say.
Your own evidence and real-world outcomes can refine your model over time, helping teams make better-informed decisions as they use it.
Designed for secure, repeatable use across large organisations.
Your calibrated audience persists. Your own new evidence and real-world outcomes can refine your model over time, so each decision can start with a richer understanding of your customers than the last.
THE PROOF, IN NUMBERS
SEE IT ON YOUR OWN DECISION
A concept, a price, a campaign. Run it against your own population and see the verdict.
Most customer intelligence begins with what people say. Ours begins with how people behave. Spun out of the University of Zürich, built by behavioural scientists from CERN, Harvard and ETH.
Dr. Cindy Candrian
Cindy is a serial founder with a PhD in AI-driven decision-making and quantitative methods. She scaled her first venture into a successful, operating business while completing her doctorate on how data and technology improve real-world outcomes, and later stepped out of day-to-day operations. After earning her PhD, she left academia to build Delta Labs, her third venture. She was named to Forbes 30 Under 30 and is co-author of the bestselling book “You & AI”.
Dr. Anne Scherer
Anne is an experimental innovator and expert on consumer psychology & technology. Before co-founding Delta Labs, she was an Assistant Professor at the University of Zurich and served as a Global Future Council for the World Economic Forum. Her work has been featured in leading scientific journals as well as in major media outlets. Her 2020 TEDxTalk on our conversations with machines has received over 1.8 Million views. She is the co-author of the bestseller "You & AI".
Dr. Ada Kovaliukaite
Ada is a behavioural scientist and experimental economist specializing in decision-making, and consumer responses to incentives. Her work combines experimental research, behavioural modelling, and quantitative analysis to help organisations better understand human behaviour and engagement. Before joining Delta Labs, she completed her PhD in Experimental Economics at Texas A&M University and held postdoctoral positions at New York University Abu Dhabi and the University of Vienna, where she studied bargaining behaviour, social mobility, strategic reasoning, and behavioural interventions. Her interests lie at the intersection of behavioural science, experimentation, AI-driven modelling, and consumer insights.
Benji
Benji is the mascot of Delta Labs. He is passionate about brightening up every day and spreading pawsitivity in meetings, talks, and workshops. His favorite hobby outside of work is chasing frisbees or learning new tricks. He has earned a PhD in being the best boy.

Dr. Jasmin Brummer
Jasmin is a Cognitive Psychologist specializing in how motivational incentives shape memory, decision-making, and consumer behavior across different age groups. She brings extensive experience in designing rigorous behavioral studies and building computational models of the latent cognitive processes that drive human behavior. Before joining Delta Labs, Jasmin completed her PhD at the University of Zurich and held a postdoctoral fellowship at UC Berkeley, where her research expanded to the role of affect in cognition with direct implications for user experience and human-AI interaction, as well as AI-based response simulation. This work gives her a distinctive perspective on what synthetic populations can capture with greater fidelity than simple demographic profiles: the motivational and emotional dynamics that determine how people actually evaluate, remember, and choose.

Dr. Iago S. Muraro
Iago is an AI Customer Insights Senior Expert with over 10 years of experience helping global brands make consumer-centric, data-driven decisions, through end-to-end research programs, from brand health tracking and segmentation to advertising concept testing. His background spans survey methodology, consumer behavior, and digital marketing. Before joining Delta Labs, Iago held consumer insights and brand strategy roles, advising Fortune 500 brands across the Americas and Europe. He currently teaches on customer experience and social media marketing at the University of St. Gallen's Executive School. He holds a PhD in Information & Media from Michigan State University and an M.Sc. in Survey Methodology from the University of Michigan.

Dr. Fotis Efthymiou
Fotis is a Behavioral Research Senior Expert with a PhD in Behavioral Science and Technology from the University of St. Gallen and over five years of applied research experience quantifying customer behavior through survey responses, text, and voice data. His work includes human-AI interaction and empathic AI research, working with both academic and industry collaborators to examine how and when AI can shape human decision-making and improve user experience. He has published in leading scientific journals on human-computer interaction and consumer psychology, and brings deep expertise in mixed-methods research, behavioral modeling, and the science of consumer decision-making. Fotis also brings SaaS industry experience, having worked as a Product Owner and Data Analyst, translating customer insights into product and business decisions.

Dr. Konstantin Offer
Konstantin is a quantitative researcher with a PhD in cognitive science from the Max Planck School of Cognition, focused on large-scale behavioural modelling and synthetic population simulation. He previously trained at Harvard and Cambridge and is a Joachim Herz Foundation Fellow. He works on structuring heterogeneous behavioural data into computable trait spaces that can be used to simulate and predict decision-making. His work bridges psychometrics, behavioural science, and LLM-based simulation systems for population-level modelling.

Jacopo Mocellin
Jacopo is a Data Scientist and Data Engineer. During his PhD at the University of Zurich, he used novel AI methods to predict symptom trajectories from smartphone-based observational and self-reported patient data, and created structured metadata vocabularies to improve the usability of sparse real-world datasets. At Delta Labs, he owns the data infrastructure, ensuring its scalability and extending its capabilities to power AI twins.

Dr. Lucas Pompe
Lucas is a computational neuroscientist specializing in generative machine learning models for neuroscience and decision-making data. His work focuses on inferring the latent dynamics that drive complex behavioral and neural time series, with direct applications to simulating human decision-making at scale. Before joining Delta Labs, Lucas completed his PhD in Neuroinformatics at UZH & ETH Zurich and held a postdoctoral position at the Institute of Neuroinformatics. He holds an MSc in Artificial Intelligence from the University of Edinburgh. His interests lie at the intersection of generative AI, computational neuroscience, and behavioural modelling for synthetic population simulation.

Dr. Matthias Schaller
Matthias is a data scientist and architect of Delta Labs' data foundation. He designs, builds, and extends the core data models that underpin the platform, including enterprise-specific layers that encode each client's reality. He holds a PhD from the University of St. Gallen.

Dr. Surapat Ek-In
Surapat is a software and data engineer with a background in experimental particle physics. He holds a PhD in Physics from EPFL, where his research with CERN’s LHCb collaboration combined large-scale data analysis, statistical modelling, and machine learning. Before joining Delta Labs, he was Principal Software Engineer at Lino Biotech, turning research technology into production software for real-time biosensing. His expertise spans data pipelines, scientific computing, and full-stack development, with a focus on translating complex research into reliable, practical systems.

Dana Tokmurzina
Dana is a data scientist and machine learning engineer specializing in modelling and simulating how customers make decisions. Her work focuses on evaluating the AI Twins, designing the end-to-end evaluation framework and the statistical methods that measure how well they perform. Before joining Delta Labs, Dana spent three and a half years at the Dutch bank ABN AMRO, where she built the models behind personalised campaigns for five million retail clients: a recommender system, churn and propensity models, customer embeddings, and an end-to-end model monitoring platform. Earlier, she built a semantic search engine at Juniper Networks and worked on a reinforcement learning solution at Nokia Bell Labs. She holds an MSc in Data Science from Aalto University and Université Côte d'Azur (EIT Digital) and a BSc in Robotics from Nazarbayev University, where she researched brain-computer interfaces and published at ACM/IEEE venues. Her interests lie at the intersection of human decision-making, applied machine learning, and production AI systems for population-level simulation.

Lauren James
As Delta Labs grows, Lauren makes sure the business behind the technology keeps pace. As Business Operations Lead, she is responsible for the systems, processes and infrastructure that allow Delta Labs to operate efficiently as the company scales. Her work spans across the entire business alongside the internal systems and reporting that support day-to-day operations. Before joining Delta Labs, Lauren spent her career building and scaling operations in high-growth businesses, with a focus on turning complex operational challenges into clear processes and scalable systems. At Delta Labs, she works across the business to make sure the right structures are in place - from financial planning and operational reporting to the processes that support the team, suppliers and clients. Her focus is simple: building the operational foundations that allow Delta Labs to keep moving quickly as it grows.

Michał Pasierbski
Abbie is a Senior Full-Stack Software Engineer specializing in modern enterprise web platforms and AI-driven products. She has led development on applications spanning frontend, backend, and infrastructure, with a strong focus on quality, maintainability, and long-term reliability.

Thibaut Maurice
Thibaut Maurice is a Senior Full-Stack Engineer with 10+ years of experience building and scaling modern web platforms and AI-native products. He works across frontend, backend, and cloud infrastructure, and has led and mentored engineering teams while delivering production systems with a focus on fast iteration and reliable architecture.

Damien Broughton
Damien is a Senior Full-Stack Software Engineer with over 7 years specializing in modern web platforms, cloud-native architecture, and enterprise integrations. He has experience leading development across multiple cloud ecosystems, delivering scalable applications, automation pipelines, and data-driven solutions with a focus on maintainability, performance, and rapid iteration.

Saurav Tiru
Saurav Tiru is a Senior Software Engineer with 7+ years of experience building production software across data platforms, real estate technology, identity and access management, and AI-native applications. He has grown from frontend development to designing full-stack systems, leading engineering teams, and owning products end to end. At Delta Labs, he focuses on building reliable, scalable, and intuitive AI products.

Kevin Meyer
Kevin is a software engineer who leads the scaling of our digital twin platform. He previously built creator publishing systems for YouTube at Google in Zurich and was the founding engineer of a Y Combinator startup in San Francisco, where he designed and scaled the full platform as its sole technical owner. He holds degrees in Computer Science and Economics from Heidelberg University and Mannheim University. His work bridges large-scale systems engineering and LLM-based simulation, making population-level studies fast, reliable and cost-efficient.

Prof. Dr. Johanna Gollnhofer
Johanna is a marketing strategist and academic expert on consumer behavior, with a particular focus on sustainability and mainstream adoption. As Associate Professor at the University of St. Gallen, she works at the intersection of research and practice, helping organizations translate insights into impactful marketing strategies. She is the author of “The 60% Potential”, a widely recognized framework for turning sustainable offerings into mass-market success.

Prof. Dr. Florian von Wangenheim
Florian is Professor of Technology Marketing at ETH Zurich and Academic Co-Director of the Executive MBA ETH Zurich. A recognized expert in digital transformation, AI applications, and market research, his work bridges academic excellence and real-world business innovation.
Most customer intelligence begins with what people say. Ours begins with how people behave. Spun out of the University of Zürich, built by behavioural scientists from CERN, Harvard and ETH.
Dr. Cindy Candrian
Cindy is a serial founder with a PhD in AI-driven decision-making and quantitative methods. She scaled her first venture into a successful, operating business while completing her doctorate on how data and technology improve real-world outcomes, and later stepped out of day-to-day operations. After earning her PhD, she left academia to build Delta Labs, her third venture. She was named to Forbes 30 Under 30 and is co-author of the bestselling book “You & AI”.
Dr. Anne Scherer
Anne is an experimental innovator and expert on consumer psychology & technology. Before co-founding Delta Labs, she was an Assistant Professor at the University of Zurich and served as a Global Future Council for the World Economic Forum. Her work has been featured in leading scientific journals as well as in major media outlets. Her 2020 TEDxTalk on our conversations with machines has received over 1.8 Million views. She is the co-author of the bestseller "You & AI".
Dr. Ada Kovaliukaite
Ada is a behavioural scientist and experimental economist specializing in decision-making, and consumer responses to incentives. Her work combines experimental research, behavioural modelling, and quantitative analysis to help organisations better understand human behaviour and engagement. Before joining Delta Labs, she completed her PhD in Experimental Economics at Texas A&M University and held postdoctoral positions at New York University Abu Dhabi and the University of Vienna, where she studied bargaining behaviour, social mobility, strategic reasoning, and behavioural interventions. Her interests lie at the intersection of behavioural science, experimentation, AI-driven modelling, and consumer insights.
Benji
Benji is the mascot of Delta Labs. He is passionate about brightening up every day and spreading pawsitivity in meetings, talks, and workshops. His favorite hobby outside of work is chasing frisbees or learning new tricks. He has earned a PhD in being the best boy.

Dr. Jasmin Brummer
Jasmin is a Cognitive Psychologist specializing in how motivational incentives shape memory, decision-making, and consumer behavior across different age groups. She brings extensive experience in designing rigorous behavioral studies and building computational models of the latent cognitive processes that drive human behavior. Before joining Delta Labs, Jasmin completed her PhD at the University of Zurich and held a postdoctoral fellowship at UC Berkeley, where her research expanded to the role of affect in cognition with direct implications for user experience and human-AI interaction, as well as AI-based response simulation. This work gives her a distinctive perspective on what synthetic populations can capture with greater fidelity than simple demographic profiles: the motivational and emotional dynamics that determine how people actually evaluate, remember, and choose.

Dr. Iago S. Muraro
Iago is an AI Customer Insights Senior Expert with over 10 years of experience helping global brands make consumer-centric, data-driven decisions, through end-to-end research programs, from brand health tracking and segmentation to advertising concept testing. His background spans survey methodology, consumer behavior, and digital marketing. Before joining Delta Labs, Iago held consumer insights and brand strategy roles, advising Fortune 500 brands across the Americas and Europe. He currently teaches on customer experience and social media marketing at the University of St. Gallen's Executive School. He holds a PhD in Information & Media from Michigan State University and an M.Sc. in Survey Methodology from the University of Michigan.

Dr. Fotis Efthymiou
Fotis is a Behavioral Research Senior Expert with a PhD in Behavioral Science and Technology from the University of St. Gallen and over five years of applied research experience quantifying customer behavior through survey responses, text, and voice data. His work includes human-AI interaction and empathic AI research, working with both academic and industry collaborators to examine how and when AI can shape human decision-making and improve user experience. He has published in leading scientific journals on human-computer interaction and consumer psychology, and brings deep expertise in mixed-methods research, behavioral modeling, and the science of consumer decision-making. Fotis also brings SaaS industry experience, having worked as a Product Owner and Data Analyst, translating customer insights into product and business decisions.

Dr. Konstantin Offer
Konstantin is a quantitative researcher with a PhD in cognitive science from the Max Planck School of Cognition, focused on large-scale behavioural modelling and synthetic population simulation. He previously trained at Harvard and Cambridge and is a Joachim Herz Foundation Fellow. He works on structuring heterogeneous behavioural data into computable trait spaces that can be used to simulate and predict decision-making. His work bridges psychometrics, behavioural science, and LLM-based simulation systems for population-level modelling.

Jacopo Mocellin
Jacopo is a Data Scientist and Data Engineer. During his PhD at the University of Zurich, he used novel AI methods to predict symptom trajectories from smartphone-based observational and self-reported patient data, and created structured metadata vocabularies to improve the usability of sparse real-world datasets. At Delta Labs, he owns the data infrastructure, ensuring its scalability and extending its capabilities to power AI twins.

Dr. Lucas Pompe
Lucas is a computational neuroscientist specializing in generative machine learning models for neuroscience and decision-making data. His work focuses on inferring the latent dynamics that drive complex behavioral and neural time series, with direct applications to simulating human decision-making at scale. Before joining Delta Labs, Lucas completed his PhD in Neuroinformatics at UZH & ETH Zurich and held a postdoctoral position at the Institute of Neuroinformatics. He holds an MSc in Artificial Intelligence from the University of Edinburgh. His interests lie at the intersection of generative AI, computational neuroscience, and behavioural modelling for synthetic population simulation.

Dr. Matthias Schaller
Matthias is a data scientist and architect of Delta Labs' data foundation. He designs, builds, and extends the core data models that underpin the platform, including enterprise-specific layers that encode each client's reality. He holds a PhD from the University of St. Gallen.

Dr. Surapat Ek-In
Surapat is a software and data engineer with a background in experimental particle physics. He holds a PhD in Physics from EPFL, where his research with CERN’s LHCb collaboration combined large-scale data analysis, statistical modelling, and machine learning. Before joining Delta Labs, he was Principal Software Engineer at Lino Biotech, turning research technology into production software for real-time biosensing. His expertise spans data pipelines, scientific computing, and full-stack development, with a focus on translating complex research into reliable, practical systems.

Dana Tokmurzina
Dana is a data scientist and machine learning engineer specializing in modelling and simulating how customers make decisions. Her work focuses on evaluating the AI Twins, designing the end-to-end evaluation framework and the statistical methods that measure how well they perform. Before joining Delta Labs, Dana spent three and a half years at the Dutch bank ABN AMRO, where she built the models behind personalised campaigns for five million retail clients: a recommender system, churn and propensity models, customer embeddings, and an end-to-end model monitoring platform. Earlier, she built a semantic search engine at Juniper Networks and worked on a reinforcement learning solution at Nokia Bell Labs. She holds an MSc in Data Science from Aalto University and Université Côte d'Azur (EIT Digital) and a BSc in Robotics from Nazarbayev University, where she researched brain-computer interfaces and published at ACM/IEEE venues. Her interests lie at the intersection of human decision-making, applied machine learning, and production AI systems for population-level simulation.

Lauren James
As Delta Labs grows, Lauren makes sure the business behind the technology keeps pace. As Business Operations Lead, she is responsible for the systems, processes and infrastructure that allow Delta Labs to operate efficiently as the company scales. Her work spans across the entire business alongside the internal systems and reporting that support day-to-day operations. Before joining Delta Labs, Lauren spent her career building and scaling operations in high-growth businesses, with a focus on turning complex operational challenges into clear processes and scalable systems. At Delta Labs, she works across the business to make sure the right structures are in place - from financial planning and operational reporting to the processes that support the team, suppliers and clients. Her focus is simple: building the operational foundations that allow Delta Labs to keep moving quickly as it grows.

Michał Pasierbski
Abbie is a Senior Full-Stack Software Engineer specializing in modern enterprise web platforms and AI-driven products. She has led development on applications spanning frontend, backend, and infrastructure, with a strong focus on quality, maintainability, and long-term reliability.

Thibaut Maurice
Thibaut Maurice is a Senior Full-Stack Engineer with 10+ years of experience building and scaling modern web platforms and AI-native products. He works across frontend, backend, and cloud infrastructure, and has led and mentored engineering teams while delivering production systems with a focus on fast iteration and reliable architecture.

Damien Broughton
Damien is a Senior Full-Stack Software Engineer with over 7 years specializing in modern web platforms, cloud-native architecture, and enterprise integrations. He has experience leading development across multiple cloud ecosystems, delivering scalable applications, automation pipelines, and data-driven solutions with a focus on maintainability, performance, and rapid iteration.

Saurav Tiru
Saurav Tiru is a Senior Software Engineer with 7+ years of experience building production software across data platforms, real estate technology, identity and access management, and AI-native applications. He has grown from frontend development to designing full-stack systems, leading engineering teams, and owning products end to end. At Delta Labs, he focuses on building reliable, scalable, and intuitive AI products.

Kevin Meyer
Kevin is a software engineer who leads the scaling of our digital twin platform. He previously built creator publishing systems for YouTube at Google in Zurich and was the founding engineer of a Y Combinator startup in San Francisco, where he designed and scaled the full platform as its sole technical owner. He holds degrees in Computer Science and Economics from Heidelberg University and Mannheim University. His work bridges large-scale systems engineering and LLM-based simulation, making population-level studies fast, reliable and cost-efficient.

Prof. Dr. Johanna Gollnhofer
Johanna is a marketing strategist and academic expert on consumer behavior, with a particular focus on sustainability and mainstream adoption. As Associate Professor at the University of St. Gallen, she works at the intersection of research and practice, helping organizations translate insights into impactful marketing strategies. She is the author of “The 60% Potential”, a widely recognized framework for turning sustainable offerings into mass-market success.

Prof. Dr. Florian von Wangenheim
Florian is Professor of Technology Marketing at ETH Zurich and Academic Co-Director of the Executive MBA ETH Zurich. A recognized expert in digital transformation, AI applications, and market research, his work bridges academic excellence and real-world business innovation.
Most customer intelligence begins with what people say. Ours begins with how people behave. Spun out of the University of Zürich, built by behavioural scientists from CERN, Harvard and ETH.
Dr. Cindy Candrian
Cindy is a serial founder with a PhD in AI-driven decision-making and quantitative methods. She scaled her first venture into a successful, operating business while completing her doctorate on how data and technology improve real-world outcomes, and later stepped out of day-to-day operations. After earning her PhD, she left academia to build Delta Labs, her third venture. She was named to Forbes 30 Under 30 and is co-author of the bestselling book “You & AI”.
Dr. Anne Scherer
Anne is an experimental innovator and expert on consumer psychology & technology. Before co-founding Delta Labs, she was an Assistant Professor at the University of Zurich and served as a Global Future Council for the World Economic Forum. Her work has been featured in leading scientific journals as well as in major media outlets. Her 2020 TEDxTalk on our conversations with machines has received over 1.8 Million views. She is the co-author of the bestseller "You & AI".
Dr. Ada Kovaliukaite
Ada is a behavioural scientist and experimental economist specializing in decision-making, and consumer responses to incentives. Her work combines experimental research, behavioural modelling, and quantitative analysis to help organisations better understand human behaviour and engagement. Before joining Delta Labs, she completed her PhD in Experimental Economics at Texas A&M University and held postdoctoral positions at New York University Abu Dhabi and the University of Vienna, where she studied bargaining behaviour, social mobility, strategic reasoning, and behavioural interventions. Her interests lie at the intersection of behavioural science, experimentation, AI-driven modelling, and consumer insights.
Benji
Benji is the mascot of Delta Labs. He is passionate about brightening up every day and spreading pawsitivity in meetings, talks, and workshops. His favorite hobby outside of work is chasing frisbees or learning new tricks. He has earned a PhD in being the best boy.

Dr. Jasmin Brummer
Jasmin is a Cognitive Psychologist specializing in how motivational incentives shape memory, decision-making, and consumer behavior across different age groups. She brings extensive experience in designing rigorous behavioral studies and building computational models of the latent cognitive processes that drive human behavior. Before joining Delta Labs, Jasmin completed her PhD at the University of Zurich and held a postdoctoral fellowship at UC Berkeley, where her research expanded to the role of affect in cognition with direct implications for user experience and human-AI interaction, as well as AI-based response simulation. This work gives her a distinctive perspective on what synthetic populations can capture with greater fidelity than simple demographic profiles: the motivational and emotional dynamics that determine how people actually evaluate, remember, and choose.

Dr. Iago S. Muraro
Iago is an AI Customer Insights Senior Expert with over 10 years of experience helping global brands make consumer-centric, data-driven decisions, through end-to-end research programs, from brand health tracking and segmentation to advertising concept testing. His background spans survey methodology, consumer behavior, and digital marketing. Before joining Delta Labs, Iago held consumer insights and brand strategy roles, advising Fortune 500 brands across the Americas and Europe. He currently teaches on customer experience and social media marketing at the University of St. Gallen's Executive School. He holds a PhD in Information & Media from Michigan State University and an M.Sc. in Survey Methodology from the University of Michigan.

Dr. Fotis Efthymiou
Fotis is a Behavioral Research Senior Expert with a PhD in Behavioral Science and Technology from the University of St. Gallen and over five years of applied research experience quantifying customer behavior through survey responses, text, and voice data. His work includes human-AI interaction and empathic AI research, working with both academic and industry collaborators to examine how and when AI can shape human decision-making and improve user experience. He has published in leading scientific journals on human-computer interaction and consumer psychology, and brings deep expertise in mixed-methods research, behavioral modeling, and the science of consumer decision-making. Fotis also brings SaaS industry experience, having worked as a Product Owner and Data Analyst, translating customer insights into product and business decisions.

Dr. Konstantin Offer
Konstantin is a quantitative researcher with a PhD in cognitive science from the Max Planck School of Cognition, focused on large-scale behavioural modelling and synthetic population simulation. He previously trained at Harvard and Cambridge and is a Joachim Herz Foundation Fellow. He works on structuring heterogeneous behavioural data into computable trait spaces that can be used to simulate and predict decision-making. His work bridges psychometrics, behavioural science, and LLM-based simulation systems for population-level modelling.

Jacopo Mocellin
Jacopo is a Data Scientist and Data Engineer. During his PhD at the University of Zurich, he used novel AI methods to predict symptom trajectories from smartphone-based observational and self-reported patient data, and created structured metadata vocabularies to improve the usability of sparse real-world datasets. At Delta Labs, he owns the data infrastructure, ensuring its scalability and extending its capabilities to power AI twins.

Dr. Lucas Pompe
Lucas is a computational neuroscientist specializing in generative machine learning models for neuroscience and decision-making data. His work focuses on inferring the latent dynamics that drive complex behavioral and neural time series, with direct applications to simulating human decision-making at scale. Before joining Delta Labs, Lucas completed his PhD in Neuroinformatics at UZH & ETH Zurich and held a postdoctoral position at the Institute of Neuroinformatics. He holds an MSc in Artificial Intelligence from the University of Edinburgh. His interests lie at the intersection of generative AI, computational neuroscience, and behavioural modelling for synthetic population simulation.

Dr. Matthias Schaller
Matthias is a data scientist and architect of Delta Labs' data foundation. He designs, builds, and extends the core data models that underpin the platform, including enterprise-specific layers that encode each client's reality. He holds a PhD from the University of St. Gallen.

Dr. Surapat Ek-In
Surapat is a software and data engineer with a background in experimental particle physics. He holds a PhD in Physics from EPFL, where his research with CERN’s LHCb collaboration combined large-scale data analysis, statistical modelling, and machine learning. Before joining Delta Labs, he was Principal Software Engineer at Lino Biotech, turning research technology into production software for real-time biosensing. His expertise spans data pipelines, scientific computing, and full-stack development, with a focus on translating complex research into reliable, practical systems.

Dana Tokmurzina
Dana is a data scientist and machine learning engineer specializing in modelling and simulating how customers make decisions. Her work focuses on evaluating the AI Twins, designing the end-to-end evaluation framework and the statistical methods that measure how well they perform. Before joining Delta Labs, Dana spent three and a half years at the Dutch bank ABN AMRO, where she built the models behind personalised campaigns for five million retail clients: a recommender system, churn and propensity models, customer embeddings, and an end-to-end model monitoring platform. Earlier, she built a semantic search engine at Juniper Networks and worked on a reinforcement learning solution at Nokia Bell Labs. She holds an MSc in Data Science from Aalto University and Université Côte d'Azur (EIT Digital) and a BSc in Robotics from Nazarbayev University, where she researched brain-computer interfaces and published at ACM/IEEE venues. Her interests lie at the intersection of human decision-making, applied machine learning, and production AI systems for population-level simulation.

Lauren James
As Delta Labs grows, Lauren makes sure the business behind the technology keeps pace. As Business Operations Lead, she is responsible for the systems, processes and infrastructure that allow Delta Labs to operate efficiently as the company scales. Her work spans across the entire business alongside the internal systems and reporting that support day-to-day operations. Before joining Delta Labs, Lauren spent her career building and scaling operations in high-growth businesses, with a focus on turning complex operational challenges into clear processes and scalable systems. At Delta Labs, she works across the business to make sure the right structures are in place - from financial planning and operational reporting to the processes that support the team, suppliers and clients. Her focus is simple: building the operational foundations that allow Delta Labs to keep moving quickly as it grows.

Michał Pasierbski
Abbie is a Senior Full-Stack Software Engineer specializing in modern enterprise web platforms and AI-driven products. She has led development on applications spanning frontend, backend, and infrastructure, with a strong focus on quality, maintainability, and long-term reliability.

Thibaut Maurice
Thibaut Maurice is a Senior Full-Stack Engineer with 10+ years of experience building and scaling modern web platforms and AI-native products. He works across frontend, backend, and cloud infrastructure, and has led and mentored engineering teams while delivering production systems with a focus on fast iteration and reliable architecture.

Damien Broughton
Damien is a Senior Full-Stack Software Engineer with over 7 years specializing in modern web platforms, cloud-native architecture, and enterprise integrations. He has experience leading development across multiple cloud ecosystems, delivering scalable applications, automation pipelines, and data-driven solutions with a focus on maintainability, performance, and rapid iteration.

Saurav Tiru
Saurav Tiru is a Senior Software Engineer with 7+ years of experience building production software across data platforms, real estate technology, identity and access management, and AI-native applications. He has grown from frontend development to designing full-stack systems, leading engineering teams, and owning products end to end. At Delta Labs, he focuses on building reliable, scalable, and intuitive AI products.

Kevin Meyer
Kevin is a software engineer who leads the scaling of our digital twin platform. He previously built creator publishing systems for YouTube at Google in Zurich and was the founding engineer of a Y Combinator startup in San Francisco, where he designed and scaled the full platform as its sole technical owner. He holds degrees in Computer Science and Economics from Heidelberg University and Mannheim University. His work bridges large-scale systems engineering and LLM-based simulation, making population-level studies fast, reliable and cost-efficient.

Prof. Dr. Johanna Gollnhofer
Johanna is a marketing strategist and academic expert on consumer behavior, with a particular focus on sustainability and mainstream adoption. As Associate Professor at the University of St. Gallen, she works at the intersection of research and practice, helping organizations translate insights into impactful marketing strategies. She is the author of “The 60% Potential”, a widely recognized framework for turning sustainable offerings into mass-market success.

Prof. Dr. Florian von Wangenheim
Florian is Professor of Technology Marketing at ETH Zurich and Academic Co-Director of the Executive MBA ETH Zurich. A recognized expert in digital transformation, AI applications, and market research, his work bridges academic excellence and real-world business innovation.


Take the first step
Stop commissioning the consumer voice. Start working with it.
From Zürich’s academic excellence to global industry trust.
“With Elaiia, customer intelligence has become a creative collaborator rather than a validation step at the end. We are now able to explore emotional territories, develop new collections, and shape our launch campaigns with the customer perspective informing decisions along the way.”
Eszter Szijarto
Global Head of Consumer Insights & Strategy at Triumph
"Elaiia helps us iterate quickly and work more agile, because we can bring the customer voice into decisions instantly throughout our iteration cycles."
Christian Wensor — Lorenz Snacks
Customers
"Customer Intelligence used to be episodic for us. Elaiia is an always-on customer insight layer for Fleurop—so we run disciplined test-and-learn cycles instead of debating opinions."
Rinaldo Walser
COO, Fleurop-Interflora (Schweiz) AG
From Zürich’s academic excellence to global industry trust.
“With Elaiia, customer intelligence has become a creative collaborator rather than a validation step at the end. We are now able to explore emotional territories, develop new collections, and shape our launch campaigns with the customer perspective informing decisions along the way.”
Eszter Szijarto
Global Head of Consumer Insights & Strategy at Triumph
"Elaiia helps us iterate quickly and work more agile, because we can bring the customer voice into decisions instantly throughout our iteration cycles."
Christian Wensor — Lorenz Snacks
Customers
"Customer Intelligence used to be episodic for us. Elaiia is an always-on customer insight layer for Fleurop—so we run disciplined test-and-learn cycles instead of debating opinions."
Rinaldo Walser
COO, Fleurop-Interflora (Schweiz) AG
From Zürich’s academic excellence to global industry trust.
“With Elaiia, customer intelligence has become a creative collaborator rather than a validation step at the end. We are now able to explore emotional territories, develop new collections, and shape our launch campaigns with the customer perspective informing decisions along the way.”
Eszter Szijarto
Global Head of Consumer Insights & Strategy at Triumph
"Elaiia helps us iterate quickly and work more agile, because we can bring the customer voice into decisions instantly throughout our iteration cycles."
Christian Wensor — Lorenz Snacks
Customers
"Customer Intelligence used to be episodic for us. Elaiia is an always-on customer insight layer for Fleurop—so we run disciplined test-and-learn cycles instead of debating opinions."
Rinaldo Walser
COO, Fleurop-Interflora (Schweiz) AG