Rebolt builds a platform for operationalizing AI agents into production workflows. The stack—TypeScript, React, Node.js, Python, FastAPI, Kubernetes—reflects a full-stack web and backend service architecture. Active projects span multi-agent systems, workflow automation, integrations with freight/CRM/database backends, and billing infrastructure, indicating a move from early product-market fit toward scaling operational complexity. The hiring mix (4 engineers, 1 product manager, all senior-level, zero new requisitions in 30 days) suggests a tight, stable team optimizing existing surfaces rather than expanding headcount.
Rebolt is a platform that converts business operations into AI-powered software tools without requiring custom IT development. The product targets teams managing repetitive workflows across phone, email, messaging, and business systems (freight management, CRM, databases). Core infrastructure includes a multi-agent orchestration layer, workflow execution engine, and integration connectors. The company operates from San Francisco with 11–50 employees and is actively hiring in the United States, with current open roles clustered in engineering and product.
TypeScript, React, Node.js, Python, FastAPI, Docker, Kubernetes, GitHub Actions, GraphQL, and REST APIs. Full-stack web and backend services.
Multi-agent AI systems, workflow automation (phone calls, email, messaging), CRM/freight/database integrations, billing systems, and onboarding tooling. Focus on production-ready deployment and scaling.
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