adisystems is a team of builders passionate about bridging the gap between powerful AI tools and practical user experiences. We specialize in developing intelligent, scalable, and user-friendly systems powered by cutting-edge technologies like LangGraph, RAG, AWS Bedrock, and Streamlit.

• FMBench Assistant
  An AI chatbot designed to help users explore foundation model benchmarks with ease. Built with LangGraph, Streamlit, FastAPI, and AWS services, this assistant brings conversational interaction to FMBench documentation, making complex technical evaluation workflows intuitive and interactive.

• Letta OpenBrewery Agent
  A generative AI assistant that taps into the OpenBrewery DB to help users discover U.S. breweries. It combines structured queries with intelligent language model responses, offering recommendations and filtering powered by natural conversation.

• Foundation model benchmarking & evaluation
• Conversational AI agents using LangGraph + RAG
• Cloud-native deployments with AWS
• Developer tools & automation for AI workflows
• AI + UX — making intelligent systems actually usable

We’re all in on Generative AI. From AI agents that retrieve and synthesize documentation, to tool-using assistants that call APIs, we build experiences around cutting-edge models and retrieval pipelines. Our stack often includes:

• LangGraph for multi-turn reasoning and ReAct-style agents
• FAISS for efficient vector retrieval
• Amazon Bedrock for embedding + generation
• Guardrails for safe, verifiable outputs

Isfar Baset Graduate student, Data Science and Analytics Georgetown University

Amit Arora Adjunct Professor at Georgetown Principal Solutions Architect at AWS

Dheeraj Oruganty Graduate student, Data Science and Analytics Georgetown University

Thanks for stopping by! ✨ Want to contribute, ask a question, or just say hi? Check out the individual project repositories and drop us a star or an issue.