AIDI - Enterprise

AIDI Enterprise

Have you tested a business hypothesis or do you need greater flexibility, transparency and cost saving?

Let's deploy, customize, and, if needed, retrofit your own LLM into the AIDI ecosystem.

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Open-source LLMs in AIDI ecosystem

Select from Our Range of Popular and Effective Models or Request a Custom Solution Tailored to Your Business Needs

AIDI Enterprise features:

AIDI web application for a recording and analysis of offline communications

Unlimited amount of conversations to analyse on monthly basis

Multichannel conversations analysis (messengers, e-mail, zoom, teams)

Any kind of dashboards

Any kind of integrations with your software

Benefits & Requirements of open-source LLMs

While open-source options offer many advantages, they also require more technical expertise and resources for implementation and maintenance.

For handling large models like 65B and 70B, high-end GPUs with a minimum of 40GB VRAM (A100 40GB, dual RTX 3090s/4090s, A40, RTX A6000, or 8000) and 64GB system RAM are essential. For GGML/GGUF CPU inference, ensure at least 40GB of RAM is available.

Enhanced data security and privacy

Open-source LLMs eliminate licensing fees, making them a cost-effective solution for enterprises and startups with tight budgets.

Cost savings

With open-source LLMs, organizations can deploy the model on their own infrastructure and thus, have more control over their data.

Code transparency

Open-source LLMs offer transparency into their underlying code, allowing organizations to inspect and validate the model’s functionality.

Reduced vendor dependency

Businesses can reduce reliance on a single vendor, promoting flexibility and preventing vendor lock-in.

Language model customization

Tailoring the model to specific industry or domain needs is more manageable with open-source LLMs. Organizations can fine-tune the model to suit their unique requirements.

Active community support

Open-source projects often have thriving communities of developers and experts. It means quicker issue resolution, access to helpful resources, and a collaborative environment for problem-solving.

Fosters Innovation

Open-source LLMs encourage innovation by enabling organizations to experiment and build upon existing models. Startups, in particular, can leverage these models as a foundation for creative and unique applications.

Requirements

For handling large models like 65B and 70B, high-end GPUs with a minimum of 40GB VRAM (A100 40GB, dual RTX 3090s/4090s, A40, RTX A6000, or 8000) and 64GB system RAM are essential. For GGML/GGUF CPU inference, ensure at least 40GB of RAM is available.

Trust AI to evaluate calls and recordings now

Contact us, we will schedule a call and conduct a demonstration of the service based on your audio recordings

Contact sales

AIDI Enterprise

Open-source LLMs in AIDI ecosystem

Benefits & Requirements of open-source LLMs

Benefits

Requirements

Enhanced data security and privacy

Cost savings

Code transparency

Reduced vendor dependency

Language model customization

Active community support

Fosters Innovation

Requirements

GPTQ (GPU inference)

Combination of GPTQ and GGML / GGUF (offloading)

GGML / GGUF (CPU inference)

Trust AI to evaluate calls and recordings now