Question 1

What is deepsight cloud?

Accepted Answer

The deepsight cloud is an AI platform for professional text analysis. Specialized modules for topic analysis, sentiment analysis, NPS analysis, intent detection, anonymization, translation, data quality check, and custom training — all GDPR-compliant and hosted in Germany.

Question 2

Who is deepsight cloud suitable for?

Accepted Answer

deepsight cloud is ideal for:Market Research: NPS analysis, customer feedback, market researchHR Departments: Employee surveys, exit interviews, pulse surveysE-Commerce: Product reviews, customer reviewsEnterprises: Large data volumes, API integration, custom trainingNo programming knowledge required – the web app is intuitive to use.

Question 3

How quickly can I get started?

Accepted Answer

You can start immediately:Register for freeUpload CSV/ExcelSelect modules (e.g. Topic Analysis + Sentiment)Start analysis → Results in ~2-5 minutesNo installation, no training required. The first analysis is free.

Question 4

What is Topic Discovery?

Accepted Answer

Topic Discovery automatically finds the main topics in your texts – without predefined categories.Example: In 2000 NPS comments, Topic Discovery automatically finds topics like "Customer Service", "Product Quality", "Delivery Time", "Value for Money", etc.You receive a matrix representation (each topic = separate column) and can edit topics afterwards (merge, rename, delete).

Question 5

How does Sentiment Analysis work?

Accepted Answer

Sentiment Analysis automatically classifies texts into Positive, Neutral, or Negative – with confidence scores.Examples:"Great product, fast delivery!" → Positive (95%)"Delayed delivery, poor service" → Negative (89%)Performance: ~30 seconds for 1000 texts, €0 cost (Transformer model, no AI call).

Question 6

Which languages are supported?

Accepted Answer

deepsight supports 30+ languages with the Translation module:DeepL: German, English, French, Spanish, Italian, Dutch, Polish, Russian, Japanese, Chinese and many moreAI Fallback: 100+ languages including rare languagesAuto-Detection: Languages are detected automatically, no manual selection needed.Recommendation: First translate all texts into one language, then Topic Discovery → unified topics across all languages.

Question 7

Can I use my own categories?

Accepted Answer

Yes, with Codebook Analysis you can use predefined categories:93 Pre-Trained Models (NPS, HR, E-Commerce, etc.)Custom Training: Train your own models with 20+ examples per categoryCustom Training Example:Category "Packaging" with 20 example textsCategory "Product Quality" with 20 example textsTrain model → Apply to new texts

Question 8

Is deepsight cloud GDPR-compliant?

Accepted Answer

Yes, 100%. deepsight cloud is built for EU companies:✅ EU Hosting: All data in Germany (AWS Frankfurt)✅ Anonymization: 8 PII types (names, emails, phone, IBAN, etc.)✅ DPA Template: Data Processing Agreement per Art. 28 GDPR✅ ISO 27001 & SOC 2: Certification in progress✅ No data sharing: Sub-processors only with SCCs (Standard Contractual Clauses)

Question 9

What happens to my data?

Accepted Answer

Your data belongs to you. deepsight cloud guarantees:✅ No AI Training: Your data is NOT used to train AI models✅ End-to-End Encryption: AES-256 (in transit & at rest)✅ Multi-Tenancy with Isolation: Strict data separation between customers✅ Automatic Deletion: Data is deleted after project completion (configurable)✅ Backup & Recovery: Daily, 30 days retention

Question 10

Can I analyze HR data?

Accepted Answer

Yes, with anonymization. HR data is particularly sensitive – deepsight cloud offers:✅ Anonymization Module: MANDATORY for HR data (works council!)✅ 8 PII Types: Names, emails, phone, addresses, IPs, IBANs, etc.✅ 3 Masking Modes: FULL ([NAME]), PARTIAL (M*** M***), HASH (consistent hashes)Example: "John Doe (john@company.com) is unhappy" → "[NAME] ([EMAIL]) is unhappy"

Question 11

What does deepsight cloud cost?

Accepted Answer

The deepsight cloud uses a Pay-per-Use model (only pay for what you use):Topic Discovery: ~$0.02-0.05 per 1000 textsSentiment Analysis: €0 (Transformer model)Translation: ~$0.05 per 1000 texts (DeepL)Anonymization: ~$0.01 per 1000 textsThe first analysis is free. Transparent billing based on usage thereafter.Enterprise: Fixed-price models available for large volumes.

Question 12

Is there a free plan?

Accepted Answer

Yes, there's a free starting option:✅ First analysis free✅ All features available✅ No credit card requiredAfter that: Pay-per-Use with transparent pricing.

Question 13

How does billing work?

Accepted Answer

Billing is monthly based on your actual usage:✅ Transparent Costs: Each analysis shows estimated costs upfront✅ Detailed Invoice: Export of all analyses with costs✅ No hidden fees: You only pay for successful analysesEnterprise: Annual fixed-price contracts available.

Question 14

Is there an API?

Accepted Answer

Yes, the REST API is available:✅ Upload via API: Upload CSV/Excel/JSON✅ Pipeline Control: Select & start modules via API✅ Webhooks: Notifications for completed analyses✅ Retrieve Results: JSON export of analysis resultsDocumentation available on request.

Question 15

Which data formats are supported?

Accepted Answer

Input Formats:✅ CSV (UTF-8, with/without header)✅ Excel (.xlsx, .xls)✅ JSON (API)Output Formats:✅ CSV (with new columns for topics, sentiment, etc.)✅ Excel (.xlsx)✅ JSON (API)Requirements: At least 1 column with free text (e.g. "Comment", "Feedback", "Text").

Question 16

How large can datasets be?

Accepted Answer

Web App:✅ Up to 50,000 texts per upload✅ Maximum file size: 50 MBEnterprise/API:✅ Unlimited dataset size✅ Batch processing for millions of textsFor larger data volumes: Contact our Enterprise team.

Question 17

What support is available?

Accepted Answer

Standard:✅ Email Support: Send support request (response within 24h)✅ Documentation: Comprehensive guides & use cases✅ Feedback Channel: Direct feature requestsEnterprise:✅ Dedicated Support: Personal contact person✅ SLA: Guaranteed response times✅ Onboarding: 1:1 setup sessions

Question 18

Can I get a demo?

Accepted Answer

Yes, in two ways:Live Demo: Book a 30-min appointment with our team — we'll show you the deepsight cloud live with your dataSelf-test: Register for free and get started right awaySchedule a demo for a personal demo.

Question 19

What is the difference between Topic Discovery and Codebook Analysis?

Accepted Answer

Topic Discovery automatically finds topics in your texts – without predefined categories. Ideal when you don't have a category system yet or want to discover new perspectives.Codebook Analysis applies your existing category system. Ideal for recurring studies with established categories.You can combine both approaches: First explore with Topic Discovery, then create a codebook from the results. Learn more on our Topic Analysis page.

Question 20

Can deepsight also analyze reviews and social media comments?

Accepted Answer

Yes, deepsight is excellent for analyzing online feedback:Google Reviews, Trustpilot, App Store ratingsSocial media comments (Twitter/X, Facebook, LinkedIn)Forum posts and community feedbackThe combination of Topic Analysis and Sentiment Analysis shows which aspects are rated positively or negatively.

Question 21

How does anonymization work exactly?

Accepted Answer

The Anonymization module automatically detects personally identifiable information (PII) such as names, email addresses, phone numbers, and addresses. You can choose between three methods:Redaction: Complete removal (e.g., John Smith → [NAME])Pseudonymization: Consistent replacement (John Smith → Person_A)Generalization: Keep categories (john@company.com → [EMAIL])Detection accuracy is over 95%. Find details on our Security page.

Question 22

Can I integrate deepsight into my existing system?

Accepted Answer

Yes, deepsight offers flexible integration options:REST API: Automated connection to CRM, ERP, or BI toolsWebhooks: Real-time notifications for completed analysesCSV/Excel Export: Import results directly into your existing workflowsLearn more about our integration options on the deepsight cloud page.

Question 23

How is deepsight different from ChatGPT or other LLMs?

Accepted Answer

deepsight is a specialized platform for systematic text analysis, while ChatGPT is a general-purpose chatbot. Key differences:Structured results: deepsight delivers tables, statistics, and exportable data – not free-form textReproducibility: The same analysis always delivers the same resultGDPR compliance: Hosted in Germany, no data used for trainingScalability: 50,000+ texts in one run, not one at a timeLearn more about our Methodology.

Question 24

Are there enterprise prices for large data volumes?

Accepted Answer

Yes, for companies with regularly high analysis volumes, we offer:Fixed-price models: Predictable costs for planned volumesVolume discounts: Discounts from 100,000 texts/monthDedicated support: Personal contact and SLACustom onboarding: Individual setup and trainingContact us for a custom quote.

Question 25

What is NPS Analysis?

Accepted Answer

NPS analysis combines automatic NPS score calculation with open-text evaluation. You see not only the NPS score and distribution (Promoters, Passives, Detractors), but also which topics drive the score.An individual NPS is calculated per topic — so you immediately identify the biggest levers.Required: A text column and an NPS score column (0–10). The NPS column is detected automatically.

Question 26

What is Intent Detection?

Accepted Answer

Intent detection classifies texts by the underlying intention: Is someone complaining? Is a feature being requested? Is there a churn risk?6 standard categories (customizable): Complaint, Praise, Question, Feature Request, Bug Report, Churn Intent. Multi-label capable — one text can have multiple intents. For each detected intent, an evidence quote is extracted from the original text.

Question 27

What are Segment Analyses?

Accepted Answer

Segment analyses show how your results differ across various groups — e.g., by region, customer type, channel, or department.Segment columns in your data are detected automatically. You get interactive cross-tables for Topics × Segment, Sentiment × Segment, and NPS × Segment.

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