Top Providers of AI-Powered Text Analytics

Apply machine learning/NLP to classify, cluster, summarize, and extract themes and entities from open-ended text. Can includes sentiment and topic modeling, prompt-based analysis, and QA tooling to speed analysis with transparent, auditable outputs.

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in AI-Powered Text Analytics

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Compare AI-Powered Text Analytics Companies

Caplena

Caplena

Data & Analytics

Software & Technology

LOCATION

Zürich, Switzerland

Featured Expert

Featured Expert

Caplena

Data & Analytics

Software & Technology

Built with Swiss precision, Caplena is the AI text analytics platform for Insights & Research teams who need precise, reliable analysis of open-ended feedback — without the rigidity of traditional platforms. Powerful for experts, effortless for everyone. Trusted by 200+ leading brands and agencies.

Why choose Caplena

Open Ends analysis

Multi-lingual by design

Seamless & secure data import

AI you can control and trust

Shareable Dashboards

AddMaple

AddMaple

Qualitative Research

Data & Analytics

Quantitative Research

LOCATION

Poole, United Kingdom

AddMaple

Qualitative Research

Data & Analytics

Quantitative Research

Raw survey data summarized into dashboards that highlight significant statistical relationships in minutes not months.
Yasna.ai

Yasna.ai

Data & Analytics

Qualitative Research

Software & Technology

LOCATION

Bratislava, Slovakia

Yasna.ai

Data & Analytics

Qualitative Research

Software & Technology

The easiest way to conduct in-depth interviews with real people.

Why choose Yasna.ai

Human-like moderation

100s interviews per day

Access to 60+ markets

Moderates in 45+ languages

AI-generated report

Displayr

Displayr

Software & Technology

LOCATION

Chicago, Illinois

Displayr

Software & Technology

Displayr is the only tool you'll ever need for data analysis and reporting—easy for novices and powerful for experts.

Why choose Displayr

Connect all data easily

AI enhanced analysis

Built-in expertise

Automate drudge work

Work together seamlessly