Demos
Working examples of what we build.
1. AI Agent for Small Business Operations (Try it)
TL;DR
This is a working AI agent running a small business’s front of house and back office, end to end, on one fictional company so you can press it. You can play as a customer: ask what a service costs, get an estimate priced from the company’s own catalog, and book an appointment. Or play as office staff: scan an invoice into the books, and read an accounts-receivable aging report with a payment-risk estimate on every open bill. The agent reads the company’s own records, proposes the answer or the entry, and nothing is sent or recorded until a person confirms. Every answer is traceable: the agent cites the document it read, and when it cannot find the answer it says so instead of guessing.
The demo runs on synthetic records, so there is no company data to leak and no limit on what you can try. Open the demo and press the desks yourself: the customer chatbot, the invoice scan, the bookkeeping desk, and the AR aging page.
2. Streamlit Dashboard (Learn more)
TL;DR
Welcome to our Interactive Dashboard Demo! In this interactive platform, we highlight our capability to build engaging and user-friendly interactive dashboards using Streamlit. Our dashboard showcases a range of features and visualizations, providing a glimpse into the powerful capabilities of Streamlit. We use Freddie Mac public loan data as an example.
Advantages
Streamlit serves as the backbone of our dashboard, offering several advantages that enhance both development and deployment processes. Firstly, Streamlit’s intuitive Python-based framework allows for rapid development, enabling us to quickly transform raw data into interactive visualizations and meaningful insights. This efficiency translates to cost-effectiveness, saving valuable time and resources during the development phase.
Furthermore, Streamlit simplifies deployment, offering seamless integration with various cloud platforms. Our data is hosted in Google Cloud BigQuery, but other data warehouses such as Snowflake can be used as well. With just a few lines of code, we can effortlessly deploy our dashboard to the cloud, making it accessible to users anywhere, anytime. This ease of deployment ensures that our interactive dashboards are readily available to stakeholders, promoting informed decision-making and collaboration across teams.
Summary
In summary, our Freddie Mac Loan Performance Dashboard leverages the power of Streamlit to provide an engaging and accessible platform for analyzing loan performance data. With its cost-effective development process and effortless cloud deployment capabilities, Streamlit empowers us to deliver valuable insights efficiently, driving informed decision-making and enhancing collaboration within our organization.