hurra.ai
hurra.ai Kimi
Works with

hurra.ai + Kimi

Moonshot AI

hurra.ai runs on multiple frontier models, including Kimi. You choose the model per task or let the platform choose. Whichever model answers, it answers from the systems you connected, not from general marketing knowledge, and the reading layer underneath keeps each platform's figures visible next to the others.

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What Kimi is

Kimi is the AI assistant published by Moonshot AI. Its current flagship is Kimi K3, alongside Kimi K2.7 Code and Kimi K2.6 for coding and general use.

A model that can hold a large body of connected reporting in one pass needs fewer round trips to answer a question about it. What the answer is worth still depends on the data underneath.

How Kimi works in hurra.ai

Asking a model about your marketing is only worth something when it reads your own measurement instead of general marketing knowledge. In hurra.ai that is the default: you pick Kimi for a task or let the platform pick, and the answer is drawn from the systems you connected.

What a model can read follows from what you connected: which system, which metric, which time range. You connect and disconnect those systems yourself, and every answer traces back to them.

What changes in daily work

Instead of exporting a report and reading it yourself, you ask what moved last week and get an answer grounded in the systems you connected. Ask why cost per acquisition rose and the platform identifies which channels drove the change and gives you the breakdown in seconds.

An answer is only worth trusting when it can be checked. A model reasoning over reconciled, well-defined data can be traced back to the source; a model reasoning over a merged average cannot. That is why the validated layer under the model matters as much as the model itself.

Frequently asked questions

Does hurra.ai require Kimi?

No. hurra.ai runs on multiple frontier models and you choose per task, so the platform works the same without Kimi.

What can Kimi read on hurra.ai?

The systems you connected, within the scope you set: which system, which metric, which time range. A model that reads everything is hard to audit, so the scope is explicit by design and stays under your control.

Does my data move to the model vendor?

hurra.ai reads from the systems you already run through their official interfaces, and the records stay where they are. Nothing is migrated into the platform and nothing is handed over wholesale. What reaches a provider is what answering your question requires, within the access you granted.

Put Kimi on your own marketing data

hurra.ai runs on multiple frontier models, including Kimi. You choose the model per task or let the platform choose, and whichever model answers, it answers from the systems you connected. In the demo we go through which sources it reads, what stays out, and what a question against your own numbers looks like.

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