Privacy position

What privacy means to urprivate.ai

Privacy is not a decorative promise. For Khodiyara AI Limited, it is a product principle, a business boundary, and a test of whether the company deserves trust.

urprivate.ai will never be sold to anyone for the purpose of harvesting your data.

Khodiyara AI Limited is building in the business of trust, enablement, and coaching. That means the service should help people use AI with more agency, not less. Privacy is part of that promise because private thought, private drafts, and personal aspirations deserve care.

What privacy means

  • Respecting the user's dignity, context, and boundaries.
  • Collecting and retaining only what is necessary for the service to work.
  • Making product choices that reduce exposure rather than monetise it.
  • Being clear about what the service does, what it stores, and what it cannot promise.
  • Building a business where trust is a requirement, not a growth lever to spend down.

What privacy does not mean

  • It does not mean secrecy for harm, abuse, or unlawful activity.
  • It does not mean pretending that technical systems have no limits.
  • It does not mean hiding important tradeoffs from users.
  • It does not mean using privacy language while building a data-harvesting business underneath.
  • It does not replace formal legal policies, contracts, or compliance obligations.

Principle

The ends do not justify the means.

The founder is influenced by Immanuel Kant's philosophy: people must not be treated merely as a means to an end. For an AI company, that matters. It means growth, fundraising, product expansion, and technical convenience cannot become excuses to violate the people the product exists to serve.

This page is a company philosophy statement. It is not a substitute for a formal privacy policy, which should be published separately when the product requires it.

Product implications

What this should change in practice.

Clear defaults

Users should not need to decode hidden incentives to understand how their information is treated.

Small data appetite

The company should prefer smaller, better-justified data collection over broad capture for speculative future use.

Accountable tradeoffs

When a product decision affects privacy, the tradeoff should be deliberate, explainable, and open to scrutiny.