Overview
At ESSEPI, we specialize in building and managing scalable AI solutions by leveraging cutting-edge GenAI and ML models, tailored for cloud environments. Our services encompass a comprehensive spectrum, including system architecture, development, deployment, integration, and ongoing management of AI solutions on AWS cloud.
Our innovative core ARK (Ask & Retrieve Knowledge) platform is designed for seamless integration to the latest LLM (Large Language Models), and MLLM (Multimodal Large Language Models). This integration facilitates rapid and cost-effective development of custom GenAI solutions.
Besides integrating to various API based GenAI models offered by AWS Bedrock (e.g. claude 3), we can also deploy custom fine-tuned open source LLM models using AWS Sagemaker or AWS EC2 GPU instances in both AWS public cloud or AWS GCC (Government on Commercial Cloud) hosting environment. The latter offers flexibility to clients who may want to run their own custom LLM models.
Highlights
- We specialize in developing custom AI solutions that integrate a diverse array of rigorously tested Computer Vision models, LLMs, and MLLMs. Our approach is client-centric, focusing on resolving business challenges and seamlessly integrating with existing workflows.
- Depending on security and hosting environment, we can either integrate to API based LLM offered by AWS Bedrock services or run the best-of-breed custom open-source versions of LLM models using AWS Sagemaker or on AWS EC2 GPU instances.
- We offer deployment flexibility, enabling clients to host solutions on their AWS public or GCC (Government on Commercial Cloud) environment. We are committed in helping our clients evaluate and fine-tune ML models to ensure optimal, consistent performance and results.
Details
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