The Building Blocks of Generative AI
With Pienso, build Generative AI that generates ROI
Manipulating a Large Language Model to speak the language of your organization is an important initial step in developing generative AI applications. However, this process requires advanced technical skills to build and implement.
Data scientists and machine learning engineers are scarce. When they’re available, they’re rarely experts in the data’s subject matter — often leaving models without nuance and context.
Since conditions are never static and change with every challenge — this method doesn’t move fast enough or provide critical context necessary for generative AI to be personalized and effective.
Pienso offers a solution by empowering domain experts with the power of data science, Natural Language Processing, and Deep Learning. Non-technical users can now construct, deploy, and manage AI models, imbued with their own understanding of the data and context, all without the need for coding. By utilizing these aligned Large Language Models, organizations can build the AI applications they need now, faster, and flexibly retrain them in the future.
Overcome the agony of the status quo.
The status quo:
Put your SMEs in the driver’s seat.
The no-code interface means that your domain experts can train models directly, whether they have data science and programming skills or not, yielding more accurate models.
Train on your own data.
Never move your data.
Pienso does not rely on any third-party services or APIs, which means that your data never needs to be transmitted outside of your secure environment.
Pienso runs on the major cloud providers, as well as on-premise, meaning that your deployment can align with your organization’s IT and Security strategy.
Annotate your training data.
Pienso makes it easy to rapidly and accurately annotate massive volumes of text data, which can then be used to train powerful Deep Learning models.
Integrate with your existing systems.
Pienso’s APIs provide the ability to integrate with the systems already housing your unstructured data, and allow inference results to be delivered wherever you’d like to receive them.