Turning ideas into functional proofs-of-concept in record time. We help you validate your data initiatives for program funding and stakeholder buy-in through "Show You, Not Just Tell You" execution.
Front-end for data-driven prototypes. Transforms Python scripts into interactive web apps without front-end overhead.
Key CapabilitiesAgentic orchestration for AI-first applications. Combines visual workflows with LangChain's memory and reasoning capabilities.
Key CapabilitiesStreamlit handles user input and visualization, while n8n manages backend automation and AI agent logic. Communication via webhooks or REST creates a complete agentic experience in hours.
Exploratory data analysis interfaces that allow stakeholders to toggle parameters and see insights live.
Real-time processing of social or internal feeds to visualize emotional trends and keywords.
Rapidly mapping document ingestion to structured data storage via visual automation nodes.
Providing a clean UI for parameterized testing of back-end ML models or proprietary APIs.
Identify the core function (e.g., extracting sentiment) before building the surrounding infrastructure.
Build the back-end logic using Python or n8n nodes to fetch, transform, and route data independently.
Deploy a clean Streamlit front-end to gather stakeholder feedback and validate the user experience early.
Evaluate based on performance and clarity. Scale successful concepts or sunset unsuccessful ones with minimal sunk cost.
Transition from open-source local development to containerized production environments once value is proven.