UpCodes is a Python + React + PostgreSQL platform serving architects, engineers, and contractors with searchable access to jurisdictional building codes and compliance workflows. The product is actively migrating NLP algorithms to LLMs and building Rap Genius-style annotations on code sections—a shift toward AI-assisted code research rather than keyword search alone. Sales velocity is minimal (1 role posted in 30 days across a 9-person team), but hiring mix skews senior (4 of 7) and sales-heavy (4 of 9), suggesting focus on go-to-market execution and account management over product expansion.
UpCodes provides a centralized platform for code visibility, access, and compliance management in the architecture, engineering, and construction sectors. The product enables teams to search and navigate adopted building codes by jurisdiction, track code evolution, and maintain a firm-wide repository of code commentary and compliance notes. Founded in 2016 and based in Austin, Texas, UpCodes serves architects, engineers, general contractors, code consultants, and government officials. The platform addresses pain points around search performance, data model efficiency, and the operational overhead of tracking rapidly evolving code requirements across projects.
Backend: Python, PostgreSQL, FastAPI, Redis. Frontend: TypeScript, React, Next.js, Tailwind CSS. Infrastructure: AWS, Kubernetes. Data: Pinecone for embeddings. AI: OpenAI. Sales tools: HubSpot, Salesforce, Apollo, Outreach.
Product roadmap includes migrating NLP to LLMs, AI-powered cross-reference detection in code text, Rap Genius-style annotations, and search engine performance improvements. Go-to-market work focuses on SDR-to-AE scaling and BPM (business process management) sales motions.
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