Organization Name – Aggre

Category – Artificial Intelligence (AI)

About

powered by irmaAI

Aggre positions itself as an aggregator: one interface in front of GPT-4, Claude 3, and Llama 2, with a native AG token routing payments. The thesis is reasonable. Most knowledge workers do use multiple LLMs and would benefit from a single subscription. The question, as with every aggregator, is whether the wrapper adds enough to defend against the underlying models removing it from their TOS or pricing it out of viability.

The file does not make that question easy to answer. The team page is empty. The achievements log is empty. The domain registered in May 2024, the company is listed… as Singapore HQ with 11-50 employees, but no founder, no engineering lead, and no investor is published. The X handle (3,858 followers, uncertified) suggests pre-launch or very-early traction.

One discoverability note worth flagging: the brand name “Aggre” competes head-to-head on search with “Aggre Bar” and “AGGRE cafe” — Japanese restaurant chains that dominate the brand SERP across Asian markets. For a product whose distribution channel is unbranded search (“best multi-LLM tool”), the secondary collision with restaurant queries is not a structural problem, but the primary-brand SEO floor will be hard to lift without paid or partnership-driven discovery.

On verification: none of the six RMA pillars has been submitted. The project sits Unverified at rank 38 of 41 in VaaSBlock’s AI category, with a transparency score in the 8th percentile.

The cleanest next step for an aggregator at this stage is to publish the team page and document the differentiated value layer above the model APIs — the part Aggre owns, not the part it resells. Read More