Government procurement intelligence platform with real-time RFP and contract tracking
NationGraph targets government sales teams with a data platform combining web scraping, RAG systems, and ML pipelines to surface procurement opportunities. The stack (Python, Go, Node.js, PostgreSQL, OpenAI, Supabase) and active projects (end-to-end ML pipelines, RAG optimization, web crawling) reflect a data-heavy, infrastructure-first approach—the company is automating what its pain-point list calls 'detective-level research' and 'manual data discovery' across fragmented government databases. Balanced hiring across engineering and sales suggests a hybrid go-to-market focused on both product maturity and early revenue.
NationGraph provides a centralized intelligence platform for B2B sales teams targeting government agencies. The product aggregates purchase orders, RFP releases, meeting minutes, and regulatory data into a single searchable interface, paired with automated alerts for contract renewals and procurement events. The company serves organizations navigating the U.S. public sector procurement process, where data fragmentation and opaque decision-making timelines are endemic pain points. Founded in 2024 and based in San Francisco with 11–50 employees, the company is actively scaling engineering and sales simultaneously while building out core data infrastructure.
NationGraph runs on JavaScript/TypeScript and Python/Go backends (Node.js, FastAPI), PostgreSQL and Supabase for data, Redis and RabbitMQ for async tasks, OpenAI for NLP, and Kubernetes-orchestrated Docker deployments on AWS. Frontend is React/Next.js with shadcn/ui; data pipelines use Celery, BeautifulSoup, and Playwright for web automation.
NationGraph is building end-to-end ML pipelines, optimizing RAG systems for government data retrieval, scaling web scraping and URL crawling infrastructure, and developing a sales engine and go-to-market playbook. Active projects focus on productionizing ML pipelines and automating data ingestion at scale.
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