Objection launched with seed funding from Peter Thiel, Balaji Srinivasan and two venture firms, offering a paid system for challenging factual claims in published work. A user pays $2,000 per objection. Freelance investigators collect material, and large language models from OpenAI, Anthropic, xAI, Mistral and Google assess the evidence claim by claim. The company says its Honor Index scores a reporter's integrity, accuracy and record. Official documents and emails receive high weight, while claims from anonymous whistleblowers rank near the bottom. Founder Aron D'Souza says protected source information can be submitted through a cryptographic hash. Media lawyers interviewed by TechCrunch warned that the system could discourage sources and pressure reporters.

The fee determines who can readily summon this private tribunal. A corporation or wealthy subject can turn displeasure with an article into an investigation, a score and an online label, while the reporter must choose whether to participate. Objection's Fire Blanket feature can flag a disputed claim on X while review is underway. That sequence gives accusation an immediate public interface before the company reaches a result. Confidential reporting also creates a structural difficulty for the scoring method. Evidence may be credible precisely because a newsroom has verified it while protecting the person who supplied it from dismissal or retaliation. A model jury receives only the material submitted to the platform, so absence can lower a score or yield an indeterminate finding. The journalist then confronts a $2,000 objection with a source's identity still sealed in a newsroom file.