Enterprise SLM Platform
An open-source and no-code Small Language Model platform to create domain specific agents based on your personal and sensitive data saving cost and energy while maintaining high degree of accuracy
Platform features
Designed for private cloud and on-prem use cases tailored towards businesses and large organizations
Use the web UI to upload documents and then interact with them collectively via the assistant
Fully managed platform as a service
Energy and cost-efficient solution giving you the best value and performance
Run the fine-tuned model on device or behind a firewall
What we offer
Fine-tuning of models using private data
Pipeline to process, chunk and vectorize documents to extract information accurately
Cost-effective solution tailored to your needs
High-level API and Interface
Installation on edge or private cloud
Support and on-going improvements and updates
FAQ
01 What is fine-tuning a model?
01 What is fine-tuning a model?
The purpose of fine-tuning is to convert a model into a more specialized version for a given dataset. This enhances the model's accuracy for a specific topic or domain.
02What is baseline models vs fine-tuned models?
02What is baseline models vs fine-tuned models?
Baseline models like GPT-4 are well-suited for general-purpose reasoning, whereas fine-tuned models are primarily used to create domain-specific LLMs for more specialized applications.
03How do you fine-tune models?
03How do you fine-tune models?
We use different techniques but primarily use LoRA (Low Rank Adaption) to fine-tune models which makes it efficient in terms of memory, loading and un-loading of models.
04What is your baseline model?
04What is your baseline model?
We primarily use 
Llama 3 as our base model, allowing us to fine-tune it with private data in an on-premises setting
Use the power of Large Language Model in a small footprint, covering your static data into Agents to streamline your existing process and be more productive without compromising your privacy within your budget