More than an AI assistant
The holistic solution for your company.
Gaining real value from your company data.
You want to use artificial intelligence profitably in your organization and create tangible added value for your customers and employees?
With our combination of standard product and complementary services, we provide you with a solution tailored to your needs in record time.
Modular Standard Product
Our standard product, Runa Flow, covers all common requirements for a GPT-based AI assistant and can easily be connected to various data sources.
The solution is modular and allows for specific functions to be switched on or off depending on your needs.
Supplementary Services
FAQ
Today’s AI language models have an excellent understanding of language and can also comprehend the context of a text document. This enables precise searching and further processing of enormous amounts of data. In the past, an employee had to read through entire archives to find the information they were looking for, but today these valuable pieces of information can be made easily accessible to a large number of people in a straightforward manner – including summaries and citations.
Moreover, unpopular routine tasks can be automated, and the efficiency of important business processes can be increased. In doing so, we can take into account your individual use case and maximize the data available.
Yes, our solution is compliant with data protection regulations.
In addition to operating in a private cloud environment, on-premise operation is also possible (see the question about on-premise below).
Yes, different data sources can be easily connected to our standard product.
Yes, once the system and access to the data pools are initially set up, the updating or ongoing indexing of the data takes place automatically.
However, since costs are incurred for indexing and data transformation (embedding creation), the update frequency can be determined by the customer. Different data sources can also be updated at different frequencies. For example, a news blog can be updated more frequently than a long-term archive.
Additionally, in the further processing of the data by the chat or query engine, more current data can also be preferred or prioritized over historical data.
A standard solution can be connected to your data sources within a few weeks.
The implementation duration of supplementary services depends on the specific requirements.
Yes, different language models such as OpenAI GPT-4 or GPT-3.5 Turbo can be connected. Additionally, there is also the option to use open-source language models like Mixtral.
Yes, if you have a local data pool, these data can be indexed locally (including OnPremise RAG Pipeline with a local vector database).
If you also already have an OnPremise language model (LLM) in operation, it can also be connected. Alternatively, there is also the possibility to operate LLMs in a private cloud of Swiss hosts.
Curious?
Request a product demo now