At Consuma AI, we deeply value the trust our clients place in us when sharing their first-party data. Your data is the foundation of your business, and we treat it with the highest level of care and responsibility. We are committed to full transparency, security, and compliance with global privacy standards, ensuring your data is always handled with integrity. This document outlines how we process internal data, what formats we accept, and the measures we take to keep your information secure.

1. First-Party Data We Accept

We process various types of internal data clients provide to generate AI-driven insights. These include:

• Survey Responses – Structured and open-ended consumer feedback.

• Focus Group Transcripts – Raw text or audio recordings from group discussions.

• Customer Feedback & Support Logs – Chat logs, email feedback, and NPS survey results.

• Sales & CRM Data – Purchase behavior, retention metrics, and loyalty program data.

• Internal Research Reports – Past studies, competitive research, and market analysis.

• Social Media & Web Analytics – Owned media performance data from platforms like Instagram, Facebook, and LinkedIn.

Accepted Data Formats

• Semi-Structured Data: CSV, Excel, JSON

• Unstructured Data: PDF, Word Docs, Text Files

• Audio & Video Files: MP3, WAV, MP4 (processed via speech-to-text AI)

For custom data sources, clients can discuss integration possibilities with our technical team.

2. How We Process Internal Data

Once data is ingested, we ensure it is cleaned, structured, and analyzed for meaningful insights.

2.1 Data Cleaning & Transformation

• Duplicate Removal: Eliminating redundant records.

• Standardization: Converting different formats into a unified structure.

• Anonymization: Personally identifiable information (PII) is masked or removed.

• Noise Reduction: Filtering out irrelevant data points.

2.2 AI-Driven Analysis

• Thematic Clustering: Identifying recurring themes in consumer feedback.

• Sentiment Analysis: Measuring tone, intent, and customer satisfaction levels.

• Predictive Insights: AI-powered forecasting based on historical trends.

• Entity Recognition: Extracting key terms like brand names, competitors, and product features.

2.3 Secure Data Storage & Access

• Data is stored in encrypted cloud servers with access restricted to authorized personnel.

• Clients can choose between temporary storage (for project-based analysis) or long-term tracking.

• All internal processing follows GDPR, CCPA, and industry best practices.

3. Data Security & Compliance

We follow strict protocols to ensure that all first-party data remains secure and compliant.

• Encryption: Data is encrypted in transit and at rest.

• Access Control: Only authorized users can access raw data.

• Audit Logs: All data interactions are tracked for security and transparency.

• Client Data Ownership: Clients retain full ownership of their data and can request deletion at any time.

4. Data Retention & Deletion Policy (There are two types of data - the scraped data & the internal data that may be provided to us for analysis. Write for both)

We only retain first-party data for as long as needed to fulfill the agreed-upon scope of work.

• Short-Term Projects: Data is deleted within 30 days after report delivery.

• Ongoing Engagements: Clients can request periodic data purges.

• Immediate Deletion: Clients can request deletion of their data at any time via their account representative.