Our world runs on public infrastructure, yet government data sits fragmented across thousands of portals, PDFs, and poorly designed databases. Finding relevant information like which city just put out an RFP, or which agency is buying a new software system often requires detective-level research. NationGraph's mission is to end that detective work.
By automating data collection, normalizing records, building a knowledge graph with this data, and presenting them in a single, intuitive interface, we do for public procurement what Bloomberg did for finance and CoStar did for commercial real estate.
Our team works hard to simplify the complicated process of doing business with the government by building great software to solve a real problem.
AI applications applied to government procurement is in its infancy, join us in building an industry defining product.
We are building out a team of applied machine learning engineers in San Francisco to expand the core engine that powers NationGraph's intelligence. You'll help to scale the breadth of data we collect and advance how our models understand and organize real-world information.
We believe in-person work is our default. We're building a team of people who desire to work side-by-side and shape the culture of a growing company. In our experiences, some of the best ideas come from being in the room, feeling the pain, hearing the nuance, and catching the details that are easy to miss.
At the same time, we're flexible and supportive when working-from-home is needed to maintain a healthy, balanced work environment.