Infinet
Intelligence without interference
Completed October 2025

Client
Infinet
Industry
AI Technology
Tech Stack
The Challenge
As large language models became mainstream, most platforms handled controversial, sensitive, or complex topics with heavy restrictions. Legitimate requests with valid use cases would be refused outright. Questions that deserved direct answers received paragraphs of caveats. Medical professionals couldn't get specific clinical information. Security researchers couldn't discuss vulnerabilities. The AI was optimized for PR safety rather than user utility.
The Approach
Built a conversational AI platform around the principle of providing genuine, unfiltered information access. The system leverages open-source models including Llama and Venice that allow for customization of content policies. Users can ask hard questions and receive honest engagement rather than reflexive refusals. Privacy is core—conversations aren't logged or used for training. The interface is intentionally minimal, removing distractions and letting users focus on their interaction with the AI.
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