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DevFlake ("we," "our," or "us") respects your privacy. This policy explains how we collect, use, and protect your data — including how data is handled in our AI-powered development process.
We collect information you provide directly (name, email, project details) and technical data (IP address, browser type, usage patterns). For AI-powered projects, we may process client-provided datasets for model training and feature development.
When building AI features, we process data on secure, encrypted infrastructure. Client data used for AI model training is never shared with third parties or used to train general-purpose models. All AI processing is documented and transparent. We implement data minimization principles — only processing data essential for the AI feature being built.
We use information to provide and improve our AI-powered services, communicate about projects, send technical notices, analyze usage patterns, and comply with legal obligations. AI-processed data is used exclusively for the client's project.
We do not sell or trade your data. We may share information with trusted infrastructure providers (cloud hosting, AI model APIs) under strict data processing agreements. All third parties are vetted for security compliance.
We implement encryption in transit and at rest, regular security audits, access controls, and AI-specific security measures including model access logging, data pipeline encryption, and automated vulnerability scanning.
Client data used for AI model training is retained only for the duration of the project plus a 30-day buffer. Upon request, all training data and derived models can be deleted or transferred to the client.
We use essential cookies and privacy-respecting analytics. We do not use cookies for advertising or cross-site tracking.
You have the right to:
For privacy questions, contact contact@rashedabdullah.com.
Last updated: March 1, 2026
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