hurra.ai + DeepSeek
DeepSeekhurra.ai runs on multiple frontier models, including DeepSeek. 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.
On this page
What DeepSeek is
DeepSeek is a family of language models published by the Chinese AI company behind deepseek.com. Its API platform lists the V4 line: a fast model, a pro model and an experimental vision model, with reasoning available as a thinking mode and code completion through FIM.
Its GitHub organisation publishes a good deal of the surrounding infrastructure openly, with projects such as its expert-parallel communication library and its attention kernels carrying MIT licences. For teams that weigh where a model comes from and under which terms, that openness is part of the picture, and so is the provider's jurisdiction.
How DeepSeek 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 DeepSeek 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 DeepSeek?
No. hurra.ai runs on multiple frontier models and you choose per task, so the platform works the same without DeepSeek.
What can DeepSeek 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.