After the first author completed an inductive thematic analysis of 224 open-ended survey responses on police chief credentials, Professor Abner’s team ran an independent Evidano analysis to check the human coding for oversights, alternative frames, and researcher bias — and declined the one extra theme it proposed.

“We found that AI can strengthen qualitative research by providing an independent check on human coding, but final decisions about theme validity should remain with researchers, who must assess whether a theme is sufficiently coherent, frequent, and supported by the data.”

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Published in PLOS Neglected Tropical Diseases

Chisoni Mumba

Associate Professor of Animal Health Economics
University of Zambia

In a hybrid qualitative study of six focus groups near Zambia’s game management areas, Professor Mumba’s team used Evidano to run sentiment analysis on the transcripts, then checked every theme it surfaced against the original transcripts and verbatim quotes.

“Evidano gave us a layer of insight we would have struggled to capture through manual coding alone. It picked up the emotional tone running through the transcripts, the anxiety around eating meat that might be infected, the fear tied to livestock losses, and the frustration participants expressed toward formal health campaigns.”

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Cornell University · Malcolm Knowles Award 2023

Annalisa Raymer

Senior Lecturer & Director of CLASP
Cornell University

Dr. Raymer uploaded the transcript of an in-house CLASP film into Evidano to summarize four stakeholder groups’ perspectives and run a thematic analysis, then compared the AI’s reading with feedback from adult-education colleagues at the AAACE conference.

“With Evidano, I feel that I have a straightforward thinking partner, rather than an internet pet eager to please.”

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Distinguished Professor

Cheng-Ta Wu

Distinguished Professor, College of Education
National Chengchi University, Taiwan

His team’s published article is itself a case study of Evidano: the authors demonstrate its full qualitative workflow — summaries, themes, codebook, frequency analysis, and key quotes — on elementary-school leadership interview data. They propose a human–AI collaborative model for qualitative research.

“A powerful assistant that not only enhances the efficiency of qualitative data processing but also empowers researchers to concentrate on higher-level interpretation, theory construction, and nuanced analysis.”
From the published article

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Published in Educational Psychology

Siv M. Gamlem

Professor of Education
Volda University College, Norway

After two researchers completed the initial inductive thematic analysis of 11 interviews, Professor Gamlem’s team ran the anonymised transcripts through Evidano and compared the results with their manual analysis for triangulation and validation.

“Evidano supported our research process by offering an additional lens on the interview data, helping us identify patterns that could be compared with our initial manual analysis. Its value was not in replacing interpretation, but in strengthening the transparency and robustness of our analytic decisions.”

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Published in Education Sciences

Shawn S. Savage

Assistant Professor
University of North Carolina Wilmington

After multiple rounds of human coding of narrative student evaluations, Dr. Savage and Dr. Parker used Evidano to interrogate the data from a different analytic vantage point, surfacing gendered comparative distinctions they then verified through collaborative analysis.

“Evidano was most helpful because it encouraged Dr. Parker and me to revisit the data from a different analytic vantage point. It didn’t replace our interpretation; it expanded the kinds of questions we asked.”

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Published in Frontiers in Education

Lawrence Meda

Director of Research & Associate Professor
Sharjah Education Academy, UAE

After translating, transcribing, and manually coding nine teacher interviews, Professor Meda’s team used Evidano to categorize participant quotes into researcher-defined themes — with every allocation manually verified by the research team.

“AI-supported tools like Evidano can enhance qualitative research when used carefully and transparently.”

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Published in Cambridge Prisms: Plastics

Adriana Cunha Neves

Researcher, Department of Applied Science
South East Technological University, Ireland

Her team used Evidano for AI-assisted thematic analysis of focus group discussions about starch-protein bioplastics, helping mitigate unintentional researcher bias during interpretation.

“Evidano is particularly valuable for researchers who lack extensive experience in qualitative data analysis, offering an efficient way to organize large datasets while minimizing the influence of pre-existing knowledge and researcher bias.”

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Published at IEEE ACDSA 2026

Munn Hong Lam

Researcher, Faculty of Accountancy and Management
Universiti Tunku Abdul Rahman, Malaysia

In a sequential mixed-methods pilot on AI literacy and employment prospects, his team entered the qualitative interview data into Evidano and interpreted it thematically to add depth to their survey results.

“The qualitative element of our research was supported by Evidano through assistance with thematic organisation and interpretation of interview data. This was helpful in our research workflow, particularly in identifying patterns within the responses received during the interviews.”

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Editor, Gifted Child Quarterly

Jennifer Riedl Cross

Editor of Gifted Child Quarterly & Research Professor
University of Louisiana at Lafayette

Facing more than 19,000 open-ended comments from a Mensa Foundation study of 3,443 highly intelligent adults, her team ran the responses through Evidano in batches, compared repeated analyses, and manually verified every theme and supporting quote before finalizing the findings.

“Researchers can work together with Evidano, but they have a responsibility to stay in touch with the data and take steps to confirm the output is accurate and unbiased.”

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Published in Revista de Cercetare si Interventie Sociala

Yuliia Maslova

Professor & Head of Journalism and PR Management
National University of Ostroh Academy, Ukraine

Building a conceptual model that links fragmented digital identity with soft power, Professor Maslova’s team processed a literature sample of 51 sources with Evidano to surface recurring themes and candidate categories, then verified and interpreted every category manually during theory construction.

“Evidano helped us identify recurring themes and formulate candidate categories across a corpus of 51 literature sources. Its function was supportive rather than substitutive. The authors verified the outputs, interpreted the categories within the theoretical framework, and retained responsibility for every conceptual relation and conclusion.”

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Published by CICAP, University of Costa Rica

Esteban O. Mora-Martínez

Lecturer & Head of the Evaluation Section
University of Costa Rica

For a book chapter meta-evaluating Costa Rica’s National Evaluation Agenda, Dr. Mora-Martínez used Evidano to apply a single evaluation framework across ten reports spanning employment, education, health, culture, and the environment, acting as evaluator while Evidano analyzed the documents.

“Evidano helped apply the same analytical framework consistently across a diverse set of evaluation reports, making it easier to organize evidence, identify recurring patterns, and compare findings across sectors. At the same time, evaluators should remember that AI does not replace professional judgment.”

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Evidano achieves the best accuracy as it is AI-native and purpose-built for qualitative research

Accuracy benchmarks drawn from 11 independent studies

Approximate average accuracy

AI-generated qualitative coding and themes, benchmarked against expert human analysis

Evidano

previously AILYZE

94.0%

DeepSeek

64.2%

Claude

59.5%

MAXQDA

57.0%

GPT family

incl. QualiGPT, o3 & GPT-5

50.5%

ATLAS.ti

16.7%

NVivo

No qualifying quantitative benchmark

Hover over a bar for each tool’s headline results, or select the icon for datasets, sample sizes, and links to every study. ¹ Unweighted mean of one headline result per study; κ and F1 values are shown as percentages, so figures are directional benchmarks rather than equivalent measures of raw accuracy.

Feature	Evidano	NVivo	MAXQDA	ATLAS.ti	Delve	Dedoose	Compare
Data Security	Strong	Weak	Weak	Weak	Weak	Weak	View data security comparison
Free Trial	Unlimited for key features	14 days	14 days	5 days	14 days	1 month
Price per month	USD 50	USD 2,288annual only	USD 740annual only	USD 58	USD 50	USD 18	View price comparison

Plans & Pricing

Compare prices across competitors (e.g., NVivo, ATLAS.ti)

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Currency

Features	Free	Pro / Institution
Price	Free forever, no expiry No credit card required	Pro — /mo Institution Annual only Buy 5 get 15 free First year only
Analyze docx, pdf files (see sample)	Unlimited total files (50 files per project)
Analyze xlsx, csv files (see sample)	Unlimited total files (~5,000 rows per project)
Number of projects	Unlimited
Data encrypted and not used to train AI models
Share AI report with Others
Expert AI Models
AI Chatbot (chat with files and analysis)		Unlimited¹
AI Thematic Analysis	1 theme per project	Unlimited¹
AI Content Analysis	1 question per project	Unlimited¹
AI Assisted Coding / Frequency Analysis	1 theme and 1 question per project	Unlimited¹
AI Cross-segment Analysis	1 theme and 1 question per project	Unlimited¹
AI Data Visualization	1 theme and 1 question per project	Unlimited¹
AI Summary	Unlimited	Unlimited¹
Paid Add-Ons
AI Avatar Interviewer (try demo)	USD 0.60 / min of interview²(includes transcription)
AI Audio/Video Transcription (see languages)	1 hour free, then USD 1.00 / hour²
AI Document Translation (see languages)	1,000 words free, then USD 1.50 / 10,000 words²
Extract website data (see social media / websites)	100 URLs free, then USD 1.50 / 10 URLs²
Support
Live Human Chatbot Support
1-1 Video-call Customer Support
Customer Support within 24 hours
	Register for free plan

Free

Free forever, no expiry

No credit card required

Pro

— /mo

Per user, billed monthly

Institution

Buy 5 get 15 free

Annual only

First year only

Analyze docx, pdf files

(see sample)

All plans

Unlimited total files (50 files per project)

Analyze xlsx, csv files

(see sample)

All plans

Unlimited total files (~5,000 rows per project)

Number of projects

All plans

Unlimited

Data encrypted and not used to train AI models

All plans

Share AI report with Others

Free

Pro & Institution

Expert AI Models

AI Chatbot (chat with files and analysis)

Free

Pro & Institution

Unlimited¹

AI Thematic Analysis

Free

1 theme per project

Pro & Institution

Unlimited¹

AI Content Analysis

Free

1 question per project

Pro & Institution

Unlimited¹

AI Assisted Coding / Frequency Analysis

Free

1 theme and 1 question per project

Pro & Institution

Unlimited¹

AI Cross-segment Analysis

Free

1 theme and 1 question per project

Pro & Institution

Unlimited¹

AI Data Visualization

Free

1 theme and 1 question per project

Pro & Institution

Unlimited¹

AI Summary

Free

Unlimited

Pro & Institution

Unlimited¹

Paid Add-Ons

AI Avatar Interviewer

(try demo)

Pay as you go

USD 0.60 / min of interview²(includes transcription)

AI Audio/Video Transcription

(see languages)

Pay as you go

1 hour free, then USD 1.00 / hour²

AI Document Translation

(see languages)

Pay as you go

1,000 words free, then USD 1.50 / 10,000 words²

Extract website data

(see social media / websites)

Pay as you go

100 URLs free, then USD 1.50 / 10 URLs²

Support

Live Human Chatbot Support

All plans

1-1 Video-call Customer Support

Free

Pro & Institution

Customer Support within 24 hours

Free

Pro & Institution

1. For docx/pdf files, unlimited up to 50 files per analysis (USD 1.50 per additional file beyond that). For e.g., if you have 100 files, split your project into 2 projects of 50 files to avoid additional charges.<br/>For xlsx/csv files, unlimited up to 90,000 words per analysis (USD 1.50 per 10,000 additional words beyond that).

2. This is in addition to the USD 50.00 per month.

Data Security

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Features

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Human vs Evidano

Independent comparison of human analysis versus AI performance.

Case Studies

Real research projects analysed with Evidano, start to finish.

How to Cite Evidano

Citation formats and where journals stand on AI-assisted analysis.

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Researchers' Voices

Evidano achieves the best accuracy as it is AI-native and purpose-built for qualitative research

Approximate average accuracy1

Plans & Pricing

Free

Pro

Institution

Free

Pro

Institution

Data Security

Your data is encrypted and not used to train our AI models.

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Features

Human vs Evidano

Case Studies

How to Cite Evidano

Company

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Researchers' Voices

Evidano achieves the best accuracy as it is AI-native and purpose-built for qualitative research

Approximate average accuracy1

Plans & Pricing

Free

Pro

Institution

Free

Pro

Institution

Data Security

Your data is encrypted and not used to train our AI models.

Learn More

Features

Human vs Evidano

Case Studies

How to Cite Evidano

Approximate average accuracy

Approximate average accuracy