Strategy

With recent advancements in AI, integrating artificial intelligence into your business operations is no longer optional – it’s a necessity. We are implementing proven AI strategies that boost productivity, enhance efficiency, lower costs and prepare your company for the the AI age.

Development

The challenges each company faces are unique. To address these challenges you need customized solutions. Gain new insights into your customers with data mining , answer customer support requests efficiently with a personalized AI fine tuned to your company’s values and products or improve your workflows with custom AI tools or apps. We can help with all your AI needs. (search, generative)

Deployment

Choosing the right deployment option for your company can be difficult. Is it better to use a cloud service or deploy models locally? Where to store your data or custom models? These are all important questions to consider before

Local deployment, cloud deployment, maintenance

Security

Secure your data, prevent data leaks, ensure compliance, keep your secrets secret. With our data Firewall you know your company data is safe when using AI. 

Services

Model Evaluation

Picking the right models for your business needs is critical. Improve efficiency and cost effectiveness by picking the best models for the job.

Prompt Engineering

Get the most out of your models with our prompt engineering solution. It’s the quickest way to improve a models effectiveness and tailor it to your needs.

Information Retrieval

Today companies have too much data and information gets lost in the noise. Using advanced data retrieval methods you can bring your documents to life.

Model Fine Tuning

The best way to ensure a long term competitive edge is to fine tune a model to your specific needs.

Use Cases

AI Augmented Workflows

Example of a business workflow using universal buttons. Marketing/customer care example how to use our universal buttons.

Chat With Your Documents

Example of chatting with your documents and finding “needle in a haystack”. How a chat interface can be used to get answers based on information in the documents.