Introducing JamAI Base

The AI Agent Powered Database for the Modern Enterprise

Empower Your Business to Build AI Solutions in Minutes, Not Months.

Next-gen collaborative AI platform: Chain spreadsheet cells into powerful pipelines

Experiment with prompts, models, and LLMs in real-time - no coding required

Transform enterprise data into actionable AI solutions, boosting innovation

Simplify AI integration, making advanced technology accessible to all business professionals

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Revolutionize your workflow

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Hardware Acceleration

Maximize performance with your iGPU

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Simple Setup

One-click installation.

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Data Security

Keep your information confidential.

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OpenAI Compatibility

Use your preferred tools and libraries.

Blog

Liger Kernels Leap the CUDA Moat: A Case Study with Liger, LinkedIn's SOTA Training Kernels on AMD GPU

This guide shows the impact of Liger-Kernels Training Kernels on AMD MI300X. The build has been verified for ROCm 6.2.

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Frequently Asked Questions

Answers to your questions

Why using Embedded LLM platform does not require coding experience?

Using our platform is as simple as using a to-do list. We provide a highly intuitive and user-friendly interface that allows you to prototype and develop your own LLM pipeline swiftly and seamlessly. We also provide prompt templates to help you get started.

How can you ensure privacy and confidentiality of your LLM platform?

Our platform and services are bundled into our LLM appliance where you will have full control and ownership of the data and the LLM. Your data will always remain on-premise. Our appliance comes with access control function where administrators can set security measures based on organization’s policies.

How can I integrate your LLMs into my existing software infrastructure?

We offer API and SDK to interface with ELLM Appliances.

How is your Embedded LLM platform different from ChatGPT?

From our extensive experience advising clients on AI workflow automation, we found that there are 4 types of workload in a typical enterprise: (1) real-time ad-hoc, (2) real-time recurring, (3) batch ad-hoc, and (4) batch recurring. Current ChatGPT interface only addresses the realtime ad-hoc workflow. With our workflow autopilot interface you can breakdown a task into a series of steps just like a project manager and schedule the tasks to be done at a certain time or according to a schedule.

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