Organization Name – Aggre

Category – Artificial Intelligence (AI)

About

powered by irmaAI

Aggre is a Singapore-based platform that aggregates multiple large language models — including GPT-4, Claude 3, and Llama variants — into a single user interface, allowing users to query different AI models through one access point rather than maintaining separate subscriptions to each provider.

The verification data is minimal across every dimension. No team members are on file in the VaaSBlock registry. All seven RMA™ pillars are Unverified. VB1 Business Registration is Unverified, despite a Singapore headquarters. The VBTransparencyScore of 2.81 places Aggre at the 8.35th… percentile, ranked 38th of 41 in the AI category. The X account carries 3,858 followers on an uncertified handle; no Discord is on file; Telegram has 1 member.

The category question for a multi-LLM aggregator is whether the aggregation itself constitutes durable value. The access problem it addresses — different models suit different tasks — is genuine. But the platforms providing the underlying models have every incentive to build better unified interfaces themselves, and the switching cost for a user moving from a third-party aggregator to a first-party interface is low. The product case rests on whether Aggre’s implementation provides meaningfully better access, workflow integration, or cost arbitrage than the alternatives.

As multi-LLM access economics evolve — with OpenAI and Anthropic building their own enterprise distribution layers and API pricing — the structural position of a third-party aggregator depends on differentiation that the underlying providers cannot replicate: deep workflow integrations, novel tooling, or meaningful cost arbitrage across model providers. The current profile, with a social footprint of essentially zero and no operator disclosure, does not indicate which, if any, of those differentiators have been built. Read More