8 Evidenza alternatives, compared
Pick by the job you need done. Choose Planetarium to test consumer ads, messages and websites yourself, today. Stay with Evidenza for done-for-you B2B buyer research and a go-to-market plan.
By the Planetarium team · We publish this page and sell in this category
Key takeaways
- Planetarium and Minds show a price and let you start yourself; most of the others price each engagement after a demo.
- Evidenza's published accuracy figure is 88% similarity in 100+ validations, from its own test.
- Each company measures accuracy its own way, so the figures are set side by side, never ranked.
What are the alternatives to Evidenza?
Evidenza is listed first for reference, then Planetarium, then the rest alphabetically, without implying rank. Every row comes from the company’s own pages; each name opens its head-to-head page.
The reference: research B2B buying committees and the C-suite
Price
Not publishedTime to a result
Results in 72 hours (full service)Self-serve
Coming soonPublic API
Not describedPlanetarium
Test consumer ads, messages and websites yourself, today
Price
$99 a month, first test freeTime to a result
Half of studies in about 34 secondsSelf-serve
YesPublic API
Yes, from $999 a monthForecast behavior from transaction and visit data
Price
Not publishedTime to a result
Not published (their EY recreation ran in one day)Self-serve
Contact usPublic API
Docs behind sign-inModel how named stakeholder groups influence each other
Price
Not publishedTime to a result
Hours in Radiant, their self-serve app, per their siteSelf-serve
Yes, in Radiant; no price publishedPublic API
Not describedKeep querying a model of your own customer research
Price
Not publishedTime to a result
Answers in seconds once your audience is builtSelf-serve
License through salesPublic API
Not describedKeep reusable persona panels, priced per response
Price
$0.12 a responseTime to a result
Insights within minutes, per their homepageSelf-serve
YesPublic API
YesHear from real people, live
Price
$1.00 per participant-minute, plus softwareTime to a result
Live sessions; recruitment in under 24 hoursSelf-serve
Request a demoPublic API
Not describedGet individual-level simulations with a confidence label on each result
Price
Not publishedTime to a result
Not published (their Itaú case went from 5 weeks to 4 days)Self-serve
Not describedPublic API
Not describedRun qualitative discovery interviews
Price
$12,500 a yearTime to a result
Under 2 minutes to first insight, per their pricing pageSelf-serve
Book a demoPublic API
Yes
Read October 27, 2026. Sources are listed at the end.
When is Planetarium the better fit than Evidenza?
- Your audience is consumers, creators' followers or interest communities.
- You want to run tests yourself today rather than wait 72 hours.
- You want to test a live website or an ad with simulated visitors and viewers.
When should you stay with Evidenza?
- Your buyers are business decision-makers: buying committees, specialists, the C-suite.
- You want a finished go-to-market plan, done for you.
- You want positioning, segmentation and creative modules from one supplier.
What does each one publish about accuracy?
Different tests on different questions, so the figures sit side by side and are never ranked.
Evidenza
88% similarity in 100+ validationsown test
Their homepage, which describes it as the average match between synthetic and traditional research
Planetarium
Right 87 times in 100 when it names a winner (575 of 660)own test
1,500 published news-headline A/B tests (Upworthy, 2013 to 2015), held out and scored once (October 2026). It named a winner on 660 and called the other 840 too close. Headlines only
Aaru
Mean absolute error of 2.78 points on 2,993 questionsown report
Their September 2026 report across 186 studies, after a sampling adjustment (3.53 before it; 7.62 points on their distribution measure); EY reports a 0.90 median correlation on a blinded recreation
Artificial Societies
86% distribution accuracy across 1,000 surveysown report
Their January 2026 survey evaluation report, against a 91% human repeat ceiling
Electric Twin
92% on NDAM, their stricter measure, against a 94% human ceilingown test
Their accuracy page; they also report 96% on 1 minus mean absolute error. Led by Prof. Michael Muthukrishna (LSE and NYU), their Chief Science Adviser; pre-registered, with human data collected independently by Stack Data Strategy
Minds
93.99% similarity on one UK surveyown test
301 personas against a UK Food Standards Agency youth survey
Remesh
No simulation
Answers come from real participants, so there is no simulation accuracy to report
Simile
Matched people's answers 85% as well as people matched their own when asked againacademic paper
A 2024 Stanford study of 1,000 people; the company also reports over 7,000 evaluations and a per-result confidence label
Synthetic Users
85 to 92% parity with real interviewsown test
Their 2024 study of 8 real and 8 synthetic interviews with UK teachers, scored on four weighted criteria they publish
How was this page made?
We publish this page and sell in this category. Every claim about another company comes from that company’s own public pages, or a paper or partner report it cites, read on October 27, 2026, and each is listed below. Where a company publishes nothing on a point, the page says so; that does not mean it cannot do it.
Each company measures accuracy its own way, on its own tests, so the figures are shown side by side but never ranked as one league table. We did not trial the other products. Our own figures are the ones on our pricing and accuracy pages. Something out of date? Tell us through the contact page and we will correct it.
Frequently asked questions
Why not just ask a general AI model?
How can Planetarium show a price from $99 when most here do not?
Can these accuracy figures be compared with each other?
Should synthetic research replace real people?
Sources
- Evidenza, Homepage (opens in a new tab). Read October 27, 2026.
- Evidenza, FAQs (opens in a new tab). Read October 27, 2026.
- Evidenza, About (opens in a new tab). Read October 27, 2026.
- Aaru, Homepage (opens in a new tab). Read October 27, 2026.
- Aaru, Simulation (opens in a new tab). Read October 27, 2026.
- Aaru, Population simulation at the replication floor (opens in a new tab) (September 24, 2026). Read October 27, 2026.
- Aaru, EY wealth research case study (opens in a new tab). Read October 27, 2026.
- EY, How AI simulation accelerates growth in wealth and asset management (opens in a new tab) (October 7, 2025). Read October 27, 2026.
- Artificial Societies, Homepage (opens in a new tab). Read October 27, 2026.
- Artificial Societies, Evaluation (opens in a new tab). Read October 27, 2026.
- Artificial Societies, Radiant (opens in a new tab). Read October 27, 2026.
- Artificial Societies, Solutions (opens in a new tab). Read October 27, 2026.
- Artificial Societies, Compare (opens in a new tab). Read October 27, 2026.
- Electric Twin, Homepage (opens in a new tab). Read October 27, 2026.
- Electric Twin, Accuracy (opens in a new tab). Read October 27, 2026.
- Electric Twin, How accurate are synthetic audiences? (opens in a new tab) (February 11, 2026, updated October 26, 2026). Read October 27, 2026.
- Minds, Homepage (opens in a new tab). Read October 27, 2026.
- Minds, Pricing (opens in a new tab). Read October 27, 2026.
- Minds, Pricing and getting started (opens in a new tab). Read October 27, 2026.
- Remesh, Homepage (opens in a new tab). Read October 27, 2026.
- Remesh, Remesh Recruit (opens in a new tab). Read October 27, 2026.
- Simile, Homepage (opens in a new tab). Read October 27, 2026.
- Simile, The simulation company (opens in a new tab) (February 12, 2026). Read October 27, 2026.
- Simile, Confidence (opens in a new tab) (August 25, 2026). Read October 27, 2026.
- Simile, Itaú at ESOMAR (opens in a new tab) (September 11, 2026). Read October 27, 2026.
- Park et al., Generative agent simulations of 1,000 people (opens in a new tab) (November 2024). Read October 27, 2026.
- Synthetic Users, Homepage (opens in a new tab). Read October 27, 2026.
- Synthetic Users, Pricing (opens in a new tab). Read October 27, 2026.
- Synthetic Users, How we measure success (opens in a new tab) (updated May 21, 2026). Read October 27, 2026.
- Synthetic Users, API documentation (opens in a new tab). Read October 27, 2026.