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ACADEMY · INSIGHTS HUB

The knowledge behind every claim.

Case studies, validation studies, articles and Forum recaps – the evidence behind what Elaiia says.

Case studies
Subscribe
Close-up of an eye
Instant camera
Two hands reaching towards each other

ACADEMY · INSIGHTS HUB

The knowledge behind every claim.

Case studies, validation studies, articles and Forum recaps – the evidence behind what Elaiia says.

Case studies
Subscribe
Close-up of an eye
Instant camera
Two hands reaching towards each other

Featured · Case study · Triumph

Triumph: how close can simulated customers get to real purchases?

Triumph compared Elaiia’s simulated customers, a 4,426-person survey and 4,767 actual customers across channel, spend, price and purchase frequency. Elaiia came 2.4× closer to what customers really did.

Case study · 2026

Read case study

Featured · Case study · Triumph

Triumph: how close can simulated customers get to real purchases?

Triumph compared Elaiia’s simulated customers, a 4,426-person survey and 4,767 actual customers across channel, spend, price and purchase frequency. Elaiia came 2.4× closer to what customers really did.

Case study · 2026

Read case study

Featured · Case study · Triumph

Triumph: how close can simulated customers get to real purchases?

Triumph compared Elaiia’s simulated customers, a 4,426-person survey and 4,767 actual customers across channel, spend, price and purchase frequency. Elaiia came 2.4× closer to what customers really did.

Case study · 2026

Read case study
LIBRARY

Everything we publish, in one place.

Filter by type. Every document is linked from the claims it supports.

Abstract illustration: six particle ribbons resting on glowing reference lines – simulated customer segments matched to real purchases
  • Case study
  • Triumph

Simulated customers vs. reality

Triumph compared Elaiia’s AI customer simulations, a 4,426-person survey and 4,767 actual customers across channel, spend, price and purchase frequency. Elaiia came 2.4× closer to what customers really did.

Read
Abstract illustration: a grid of dark packaging shapes, one lit and connected to glowing data points – a packaging study reproduced by AI twins
  • Validation study
  • Sloggi · Triumph Group

A 600-person consumer study, reproduced in Elaiia

83 AI twins repeated a completed 600-woman packaging study with no access to the results. Same design decisions, same tiers, ρ = 0.90 – in a day instead of six weeks.

Read
Abstract illustration: particles following a precise luminous curve beside loosely scattered particles – AI twins versus a standard LLM
  • Validation study
  • The in-house build test

AI twins vs. a standard large language model

Same 15 European Social Survey questions, same scales, same public ground truth. Elaiia twins: 1.5% mean deviation. A standard LLM role-playing 100 respondents: 14.0%.

Read
Abstract illustration: four pairs of pillars, one matte black and one made of glowing particles, equal in height – AI twins matching human research
  • Validation study
  • Four benchmarks

Matched benchmark comparison – four cases

Concept screening, A/B product test, packaging liking and open-ended recall. Twins matched human results at 96–99% agreement and the same decision in every case.

Read
Abstract illustration: one stream of glowing particles passing through seventeen glass frames – one twin population carried through 17 studies
  • Validation study
  • Suva

An entire enterprise study, reproduced

624 twin interviews against 609 real ones, same questionnaire, same sample structure: 0.90–0.98 agreement across the full questionnaire, and the same population reused across 17 studies.

Read
Abstract illustration: particles collapsed into one narrow column beside a diverse, calibrated population
  • ARTICLE
  • Academy

Why a very good language model still gets your population wrong

A like-for-like test of calibrated AI twins against a standard large language model, on a public benchmark nobody involved controls.

Read
Abstract illustration: a layered dark foundation with a glowing data core and calibrated blocks above
  • ARTICLE
  • Academy

Why can’t we just build this ourselves?

The objection is framed as a capability question. It is not one. Three requirements decide whether a synthetic population can be trusted – and none of them is a modelling problem.

Read
Abstract illustration: a package on a measuring platform verified by a thin violet beam
  • ARTICLE
  • Validation

Fast is the easy part. Right is the question.

How we verify that AI twins are accurate: a practical packaging case.

Read
Abstract illustration: a glass lens revealing a glowing violet structure in a vast network
  • ARTICLE
  • Perspective

The Real AI Disruption in B2B Marketing Isn’t Creative: It’s Diagnosis

B2B decision-makers are the most strategic audience in marketing and the least researchable. AI changes which part of the job is the bottleneck.

Read
Abstract illustration: insight particles flowing upward through three layers – insights, strategy, tactics
  • ARTICLE
  • Perspective

Insights → Strategy → Tactics: Why Most Marketing Starts at the Wrong End

Most teams start with tactics. Insight first changes everything downstream.

Read
Abstract illustration: one luminous shape chosen from a vast field of particles
  • ARTICLE
  • Perspective

Why Taste (= Market Research) Is THE Competitive Advantage in the AI Era

When execution becomes abundant, the scarce skill is knowing what your customers will choose.

Read
Knowledge Forum Zürich: audience listening to the Suva x Delta Labs session
  • Forum

Knowledge Forum Zürich

Zürich · October 2026 · Invitation only – a day of talks, client cases and open exchange on AI-powered customer intelligence.

Read more
A glass sheet dissolving into particles of light
  • News & Press
  • Oct 2026

The Most Dangerous Business Premise Is That You Know a Customer

Anne's op-ed: AI makes ideas cheap. Knowing which ones to back is the hard part, and simulated customers only help if they are built on real data.

Read
A folded glass newspaper outlined in particle light
  • News & Press
  • Oct 2026

Wie Marktforscher mit KI Menschen ersetzen

Feature on AI replacing survey respondents. Delta Labs is named among the companies betting fully on simulation. Cindy is quoted. In German.

Read
A glass lighthouse sending a beam of particles across the sea
  • News & Press
  • Sep 2026

Customer Simulations and the Future of Insights | Cannes Lions 2026

Cindy at Cannes Lions 2026 on why companies still get surprised by their customers, and why taste is the new moat.

Watch
A particle path leading to a distant skyline
  • News & Press
  • Jul 2026

Ten Swiss fintechs head to London for the 2026 Venture Leaders roadshow

Delta Labs is part of the Swiss National Fintech Team 2026, pitching to investors in London.

Read
A microphone formed from glowing particles
  • News & Press
  • Jun 2026

#24 AI-Twins statt Umfragen: Wie Delta Labs menschliches Verhalten für Unternehmen simuliert

Anne on how years of research became Delta Labs and why the data foundation decides everything. In German.

Listen
A glass screen with a flowing particle waveform
  • News & Press
  • Mar 2026

Could AI twins change the way companies build products? | Unlocked

Cindy on Unlocked: why people are blind to their own biases and how simulation finds the segments companies overlook.

Watch
One glowing cube among many glass cubes
  • News & Press
  • Mar 2026

AI Acrobats: Digitale Köpfe der Schweiz

Cindy is named one of the 100 Digital Shapers 2026, in the AI Acrobats category. In German.

Read
A glass podium under a spotlight of particles
  • News & Press
  • Oct 2025

AI Innovation for Smarter Marketing

Cindy at the Forbes Women's Summit on testing campaigns, products and pricing in hours instead of weeks.

Watch
Two mirrored particle spheres, a digital twin
  • News & Press
  • Jul 2025

AI-Twins in der Marktforschung

Anne's guest article on how AI twins are built and which setups produce valid results. In German.

Read
LIBRARY

Everything we publish, in one place.

Filter by type. Every document is linked from the claims it supports.

Abstract illustration: six particle ribbons resting on glowing reference lines – simulated customer segments matched to real purchases
  • Case study
  • Triumph

Simulated customers vs. reality

Triumph compared Elaiia’s AI customer simulations, a 4,426-person survey and 4,767 actual customers across channel, spend, price and purchase frequency. Elaiia came 2.4× closer to what customers really did.

Read
Abstract illustration: a grid of dark packaging shapes, one lit and connected to glowing data points – a packaging study reproduced by AI twins
  • Validation study
  • Sloggi · Triumph Group

A 600-person consumer study, reproduced in Elaiia

83 AI twins repeated a completed 600-woman packaging study with no access to the results. Same design decisions, same tiers, ρ = 0.90 – in a day instead of six weeks.

Read
Abstract illustration: particles following a precise luminous curve beside loosely scattered particles – AI twins versus a standard LLM
  • Validation study
  • The in-house build test

AI twins vs. a standard large language model

Same 15 European Social Survey questions, same scales, same public ground truth. Elaiia twins: 1.5% mean deviation. A standard LLM role-playing 100 respondents: 14.0%.

Read
Abstract illustration: four pairs of pillars, one matte black and one made of glowing particles, equal in height – AI twins matching human research
  • Validation study
  • Four benchmarks

Matched benchmark comparison – four cases

Concept screening, A/B product test, packaging liking and open-ended recall. Twins matched human results at 96–99% agreement and the same decision in every case.

Read
Abstract illustration: one stream of glowing particles passing through seventeen glass frames – one twin population carried through 17 studies
  • Validation study
  • Suva

An entire enterprise study, reproduced

624 twin interviews against 609 real ones, same questionnaire, same sample structure: 0.90–0.98 agreement across the full questionnaire, and the same population reused across 17 studies.

Read
Abstract illustration: particles collapsed into one narrow column beside a diverse, calibrated population
  • ARTICLE
  • Academy

Why a very good language model still gets your population wrong

A like-for-like test of calibrated AI twins against a standard large language model, on a public benchmark nobody involved controls.

Read
Abstract illustration: a layered dark foundation with a glowing data core and calibrated blocks above
  • ARTICLE
  • Academy

Why can’t we just build this ourselves?

The objection is framed as a capability question. It is not one. Three requirements decide whether a synthetic population can be trusted – and none of them is a modelling problem.

Read
Abstract illustration: a package on a measuring platform verified by a thin violet beam
  • ARTICLE
  • Validation

Fast is the easy part. Right is the question.

How we verify that AI twins are accurate: a practical packaging case.

Read
Abstract illustration: a glass lens revealing a glowing violet structure in a vast network
  • ARTICLE
  • Perspective

The Real AI Disruption in B2B Marketing Isn’t Creative: It’s Diagnosis

B2B decision-makers are the most strategic audience in marketing and the least researchable. AI changes which part of the job is the bottleneck.

Read
Abstract illustration: insight particles flowing upward through three layers – insights, strategy, tactics
  • ARTICLE
  • Perspective

Insights → Strategy → Tactics: Why Most Marketing Starts at the Wrong End

Most teams start with tactics. Insight first changes everything downstream.

Read
Abstract illustration: one luminous shape chosen from a vast field of particles
  • ARTICLE
  • Perspective

Why Taste (= Market Research) Is THE Competitive Advantage in the AI Era

When execution becomes abundant, the scarce skill is knowing what your customers will choose.

Read
Knowledge Forum Zürich: audience listening to the Suva x Delta Labs session
  • Forum

Knowledge Forum Zürich

Zürich · October 2026 · Invitation only – a day of talks, client cases and open exchange on AI-powered customer intelligence.

Read more
A glass sheet dissolving into particles of light
  • News & Press
  • Oct 2026

The Most Dangerous Business Premise Is That You Know a Customer

Anne's op-ed: AI makes ideas cheap. Knowing which ones to back is the hard part, and simulated customers only help if they are built on real data.

Read
A folded glass newspaper outlined in particle light
  • News & Press
  • Oct 2026

Wie Marktforscher mit KI Menschen ersetzen

Feature on AI replacing survey respondents. Delta Labs is named among the companies betting fully on simulation. Cindy is quoted. In German.

Read
A glass lighthouse sending a beam of particles across the sea
  • News & Press
  • Sep 2026

Customer Simulations and the Future of Insights | Cannes Lions 2026

Cindy at Cannes Lions 2026 on why companies still get surprised by their customers, and why taste is the new moat.

Watch
A particle path leading to a distant skyline
  • News & Press
  • Jul 2026

Ten Swiss fintechs head to London for the 2026 Venture Leaders roadshow

Delta Labs is part of the Swiss National Fintech Team 2026, pitching to investors in London.

Read
A microphone formed from glowing particles
  • News & Press
  • Jun 2026

#24 AI-Twins statt Umfragen: Wie Delta Labs menschliches Verhalten für Unternehmen simuliert

Anne on how years of research became Delta Labs and why the data foundation decides everything. In German.

Listen
A glass screen with a flowing particle waveform
  • News & Press
  • Mar 2026

Could AI twins change the way companies build products? | Unlocked

Cindy on Unlocked: why people are blind to their own biases and how simulation finds the segments companies overlook.

Watch
One glowing cube among many glass cubes
  • News & Press
  • Mar 2026

AI Acrobats: Digitale Köpfe der Schweiz

Cindy is named one of the 100 Digital Shapers 2026, in the AI Acrobats category. In German.

Read
A glass podium under a spotlight of particles
  • News & Press
  • Oct 2025

AI Innovation for Smarter Marketing

Cindy at the Forbes Women's Summit on testing campaigns, products and pricing in hours instead of weeks.

Watch
Two mirrored particle spheres, a digital twin
  • News & Press
  • Jul 2025

AI-Twins in der Marktforschung

Anne's guest article on how AI twins are built and which setups produce valid results. In German.

Read
LIBRARY

Everything we publish, in one place.

Filter by type. Every document is linked from the claims it supports.

Abstract illustration: six particle ribbons resting on glowing reference lines – simulated customer segments matched to real purchases
  • Case study
  • Triumph

Simulated customers vs. reality

Triumph compared Elaiia’s AI customer simulations, a 4,426-person survey and 4,767 actual customers across channel, spend, price and purchase frequency. Elaiia came 2.4× closer to what customers really did.

Read
Abstract illustration: a grid of dark packaging shapes, one lit and connected to glowing data points – a packaging study reproduced by AI twins
  • Validation study
  • Sloggi · Triumph Group

A 600-person consumer study, reproduced in Elaiia

83 AI twins repeated a completed 600-woman packaging study with no access to the results. Same design decisions, same tiers, ρ = 0.90 – in a day instead of six weeks.

Read
Abstract illustration: particles following a precise luminous curve beside loosely scattered particles – AI twins versus a standard LLM
  • Validation study
  • The in-house build test

AI twins vs. a standard large language model

Same 15 European Social Survey questions, same scales, same public ground truth. Elaiia twins: 1.5% mean deviation. A standard LLM role-playing 100 respondents: 14.0%.

Read
Abstract illustration: four pairs of pillars, one matte black and one made of glowing particles, equal in height – AI twins matching human research
  • Validation study
  • Four benchmarks

Matched benchmark comparison – four cases

Concept screening, A/B product test, packaging liking and open-ended recall. Twins matched human results at 96–99% agreement and the same decision in every case.

Read
Abstract illustration: one stream of glowing particles passing through seventeen glass frames – one twin population carried through 17 studies
  • Validation study
  • Suva

An entire enterprise study, reproduced

624 twin interviews against 609 real ones, same questionnaire, same sample structure: 0.90–0.98 agreement across the full questionnaire, and the same population reused across 17 studies.

Read
Abstract illustration: particles collapsed into one narrow column beside a diverse, calibrated population
  • ARTICLE
  • Academy

Why a very good language model still gets your population wrong

A like-for-like test of calibrated AI twins against a standard large language model, on a public benchmark nobody involved controls.

Read
Abstract illustration: a layered dark foundation with a glowing data core and calibrated blocks above
  • ARTICLE
  • Academy

Why can’t we just build this ourselves?

The objection is framed as a capability question. It is not one. Three requirements decide whether a synthetic population can be trusted – and none of them is a modelling problem.

Read
Abstract illustration: a package on a measuring platform verified by a thin violet beam
  • ARTICLE
  • Validation

Fast is the easy part. Right is the question.

How we verify that AI twins are accurate: a practical packaging case.

Read
Abstract illustration: a glass lens revealing a glowing violet structure in a vast network
  • ARTICLE
  • Perspective

The Real AI Disruption in B2B Marketing Isn’t Creative: It’s Diagnosis

B2B decision-makers are the most strategic audience in marketing and the least researchable. AI changes which part of the job is the bottleneck.

Read
Abstract illustration: insight particles flowing upward through three layers – insights, strategy, tactics
  • ARTICLE
  • Perspective

Insights → Strategy → Tactics: Why Most Marketing Starts at the Wrong End

Most teams start with tactics. Insight first changes everything downstream.

Read
Abstract illustration: one luminous shape chosen from a vast field of particles
  • ARTICLE
  • Perspective

Why Taste (= Market Research) Is THE Competitive Advantage in the AI Era

When execution becomes abundant, the scarce skill is knowing what your customers will choose.

Read
Knowledge Forum Zürich: audience listening to the Suva x Delta Labs session
  • Forum

Knowledge Forum Zürich

Zürich · October 2026 · Invitation only – a day of talks, client cases and open exchange on AI-powered customer intelligence.

Read more
A glass sheet dissolving into particles of light
  • News & Press
  • Oct 2026

The Most Dangerous Business Premise Is That You Know a Customer

Anne's op-ed: AI makes ideas cheap. Knowing which ones to back is the hard part, and simulated customers only help if they are built on real data.

Read
A folded glass newspaper outlined in particle light
  • News & Press
  • Oct 2026

Wie Marktforscher mit KI Menschen ersetzen

Feature on AI replacing survey respondents. Delta Labs is named among the companies betting fully on simulation. Cindy is quoted. In German.

Read
A glass lighthouse sending a beam of particles across the sea
  • News & Press
  • Sep 2026

Customer Simulations and the Future of Insights | Cannes Lions 2026

Cindy at Cannes Lions 2026 on why companies still get surprised by their customers, and why taste is the new moat.

Watch
A particle path leading to a distant skyline
  • News & Press
  • Jul 2026

Ten Swiss fintechs head to London for the 2026 Venture Leaders roadshow

Delta Labs is part of the Swiss National Fintech Team 2026, pitching to investors in London.

Read
A microphone formed from glowing particles
  • News & Press
  • Jun 2026

#24 AI-Twins statt Umfragen: Wie Delta Labs menschliches Verhalten für Unternehmen simuliert

Anne on how years of research became Delta Labs and why the data foundation decides everything. In German.

Listen
A glass screen with a flowing particle waveform
  • News & Press
  • Mar 2026

Could AI twins change the way companies build products? | Unlocked

Cindy on Unlocked: why people are blind to their own biases and how simulation finds the segments companies overlook.

Watch
One glowing cube among many glass cubes
  • News & Press
  • Mar 2026

AI Acrobats: Digitale Köpfe der Schweiz

Cindy is named one of the 100 Digital Shapers 2026, in the AI Acrobats category. In German.

Read
A glass podium under a spotlight of particles
  • News & Press
  • Oct 2025

AI Innovation for Smarter Marketing

Cindy at the Forbes Women's Summit on testing campaigns, products and pricing in hours instead of weeks.

Watch
Two mirrored particle spheres, a digital twin
  • News & Press
  • Jul 2025

AI-Twins in der Marktforschung

Anne's guest article on how AI twins are built and which setups produce valid results. In German.

Read
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