Our Expertise

We are available for consultation and strategy sessions. We can assess your business objectives, analyze your existing infrastructure, and provide recommendations on how to best leverage generative AI for your specific industry and use cases. We can assist with project scoping, proof of concept, and implementation roadmaps.

The first step in solution development is identifying the optimal foundation model for the customer's requirements. We assess factors such as model size, computational resources, and desired performance trade-offs. We can recommend the most suitable LLM variant, whether it's a state-of-the-art model or a more resource-efficient option, to ensure optimal utilization of available resources.

Identifying domain specific datasets for training for enterprise models is crucial. We work closely with the customer to gather relevant training data. Whether it's proprietary customer data, publicly available datasets, or data acquired through partnerships, we ensure that the training data captures the nuances and intricacies of the customer's domain. This step enhances the LLM's ability to generate accurate and contextually relevant outputs.

 Our expertise includes natural language processing solutions and use cases. We can assist in the development of conversational agents, chatbots, language translation systems, and sentiment analysis tools, among others. Empower your business with NLP capabilities to automate customer support, improve communication, and gain insights from textual data.

We can help you make informed choices regarding model inference, deployment, and integration. We assist our clients in selecting the appropriate infrastructure, whether it's on-premises or cloud-based, considering factors such as scalability, cost, security, and latency requirements. 

We can help you establish monitoring mechanisms to track the LLM's performance, detect potential biases or drift, and continuously refine the model as new data becomes available. Regular model updates and periodic retraining are required to ensure sustained performance and alignment with evolving customer needs.