Open for Beta

Enterprise SLM Platform

Unleash the power of the Small Langauge Model to convert your static information into a knowledge base. Safeguard and protect your information while harnessing the power of Generative AI to understand and process data at a fraction of the cost

Some of our support and technology partners to push us forward
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Platform features

Designed for private cloud and on-prem use case tailored towards businesses and large organization

Use the command-line interface to create projects, upload assets, and test models, making it ideal for development teams to move quickly

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

Use the power of Large Language Model in a small footprint , coverting your static data into Agents to streamline your existing process and be more productive without compromising your privacy within your budget

What we offer

Uptime guarantee (99.5%)

Pipeline to process, chunk and vectorize documents to extract information accurately

Cost-effective solution to tailor your needs

Training and fine-tune of your models

Setting up on-prem or private cloud

Support and on-going improvements and updates

Faq

A machine learning model that's based on a large language model (LLM), but is smaller and less complex. SLMs can be used for a variety of tasks, such as sentiment analysis, content generation, and data retrieva

The free platform will let you upload one document sizing up-to 5MB. By default when you create an account, you will free 100 token that can be upgraded based on number of files and projects

You can use the command-line-interface to train a model that uses our powerful A-series GPUs to train / fine-tune LoRA adapters. Once trained, you can download the model locally using the command-line-interface or tool of your choice to run it on your local machine or deploy to your on-prem / cloud

We use Llama / Phi as our base model which is generally around 1B/3B in parameters based on the use-case and complexity

Enterprise SLM Platform

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