SMB-focused sales intelligence platform with AI-driven lead qualification
Orbital builds a sales intelligence platform targeting mid-market companies underserved by incumbents, powered by Python, Node.js, PostgreSQL, and MongoDB on AWS/GCP. The tech stack emphasizes AI orchestration (LangChain, LangGraph, CrewAI) and data warehousing (Snowflake, BigQuery, ClickHouse), reflecting a core product direction toward AI-driven lead qualification and enrichment. Pain points around scaling the AI platform and low workflow adoption suggest the company is moving from building capability toward driving customer activation.
Orbital provides sales intelligence and lead enrichment for B2B SaaS and software companies selling into the SMB segment. The platform automates pipeline identification, qualification, and data enrichment at scale—a market segment Orbital positions as underserved by larger competitors. The company operates from San Francisco with 11–50 employees, structured across design, engineering, sales, customer success, data, and operations. Current focus spans AI workflow development, customer health monitoring, and operational scaling across both product delivery and customer success.
Python, Node.js, PostgreSQL, MongoDB, AWS, GCP, Azure, SQL, and data warehousing via Snowflake, BigQuery, and ClickHouse. AI orchestration relies on LangChain, LangGraph, and CrewAI.
AI-driven workflows, backend systems, sales intelligence automation, customer success operations tooling, and customer health monitoring. Primary pain points center on scaling the AI platform and improving workflow adoption.
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