About Us

Our mission is to build AI that is:

Personalized & Useful

Private & Safe

Widely Accessible

Why Opilot™?

The AI Trilemma

‍You can only choose two of the three!

• AI consumer products are not private or secure
• AI for enterprise is very expensive

The Unacceptable Status Quo: The AI Trilemma

Our dissatisfaction with AI development's current state prompted us to create Opilot.

The current state of AI development is nothing short of a crisis. We're forced to choose between three equally unpalatable options: sacrificing our privacy for better performance, breaking the bank on expensive cloud infrastructure, or settling for limited capabilities on our personal devices.

This outdated approach puts our personal data at risk and creates an unfair playing field that excludes smaller players and stifles innovation. It's time to acknowledge that this trade-off is no longer acceptable.

A Revolutionary Alternative: Democratized AI Inference

Imagine a future where AI is truly democratic, where everyone has access to cutting-edge technology that respects their privacy, adapts to their unique needs, and fits their budget.

A future where:

• Privacy is non-negotiable: AI runs on your devices, ensuring your data remains yours and yours alone.
• Personalization is the standard: AI adapts to your individual needs and preferences, providing unparalleled accuracy and relevance.
• Affordability is a fundamental right: AI is accessible to individuals and small businesses without compromises, leveling the playing field and unlocking innovation.

Our Solution

Our solutions are built around a few core principles designed to overcome the AI trilemma.

Local Data Storage: We store user data locally on their devices, ensuring it remains inaccessible to Opilot, cloud providers, or any third-party entities. This is crucial because as AI becomes more personalized, users share increasingly sensitive information, including personally identifiable information (PII), trade secrets, medical records, and more. By keeping this data offline, we deny hackers access to this valuable treasure trove.

Hybrid Computing Approach: We utilize both on-device and cloud-based Large Language Models (LLMs). On-device LLMs enable offline usage for high-security use cases or when network connectivity is unavailable. For everyday use, we leverage larger cloud-hosted LLMs, which provide the best utility.

Privacy-Enhancing Techniques: We employ several techniques to safeguard user privacy and data protection:

• Anonymized Prompts: We remove PII from prompts on device, to ensure only sanitized queries are sent to cloud APIs.
• No Logging Policy: We do not log prompts, LLM responses, or any user data.
• Pseudonymity: We proxy API queries, ensuring user activity remains untraceable.

Browser Client: Our Opilot application is distributed as a browser extension, offering several benefits:

• Personalization and Usefulness: our application seamlessly integrates with users' workflows, enhancing productivity, by accessing web page and app content.
• Security Sandbox: Browser extensions operate in a restricted environment, enabling strict data access controls and safe code execution. This prevents hackers from using Opilot to access file systems or gain control of computers.
• Ease of Distribution and Maintenance: The extension is easy to install and auto-updates itself, ensuring a hassle-free experience.