Getting your data ready for AI is hard
An AI data pipeline ensures that your AI gets the best quality data at the right time to make smart decisions. An AI data pipeline is an organized assembly line that shuttles your data from its source to its final destination, making it AI-usable along the way. It collects data from your data repository, cleans and transforms it, then feeds it to your AI model.
Our Process
We can create the pipes in between your pre-selected tools OR we can choose the right tools for each of your data needs.
Your data flows in and out, no code needed. From your data source to data labeling tools, to LLMs, to other data platforms and many more.
Quality Control of your JSONS: Our quality control features will detect anomalies and ask you or your workforce to validate or reject selected labels.
We deliver a unique Data ID Card along with your data output displaying : who handled it, what happened to your data and where it went.
Retain total control over your data and ask MLtwist to build your data ecosystem or simply build it yourself. Every AI data use case has its own data cleaning and formatting challenges and data labeling requirements. We believe your data should go to the right tool the first time, every time, so that you don’t have to compromise on quality.
Data Orchestration services – design data flow, select the right AI data tools, select & assign workforces and oversee quality control. You can do it all or we can do it for you.