AgenticIR (Agentic Information Retrieval) provides a modular framework where LLM-powered agents autonomously plan and execute IR workflows. It enables the definition of agent roles — such as query generator, document retriever, and summarizer — running in customizable sequences. Agents can fetch raw text, refine queries based on intermediate results, and merge extracted passages into concise summaries. The framework supports multi-step pipelines including iterative web search, API-based data ingestion, and local document parsing. Developers can adjust agent parameters, plug in different LLMs, and fine-tune behavior policies. AgenticIR also offers logging, error handling, and parallel agent execution to accelerate large-scale information gathering. With a minimal code setup, researchers and engineers can prototype and deploy autonomous retrieval systems.

Stellr is a state-of-the-art electronic lab notebook (ELN) developed to enhance documentation and data management for scientists in the bio-pharma industry. This digital tool helps researchers and lab workers transition from outdated paper-based methods to a more efficient, accessible, and centralized platform. Stellr centralizes all your laboratory data, making it readily searchable and easily shareable within your team. The platform's user-friendly interface simplifies the process of documenting experiments and managing lab results, driving productivity and ensuring compliance with industry standards.