Aquant builds an AI agent platform tailored to field service operations—technicians diagnosing complex equipment failures in the field. The tech stack (Salesforce, ServiceNow, AWS, GCP, Kubernetes, React) reflects a B2B SaaS sales motion paired with enterprise service software integration. Hiring velocity is accelerating with a 5:1 sales-to-engineering ratio, suggesting rapid customer acquisition outpacing product development—a common sign of strong initial traction that demands expanded delivery capacity.
Aquant develops an agentic AI platform for service professionals managing complex industrial and enterprise equipment. The product captures both documented knowledge (manuals, procedures) and tacit expertise (experienced technician patterns) to generate expert-level troubleshooting guidance in real time. Target buyers are field service operations at mid-market and enterprise companies facing rising labor costs, slow technician ramp times, and equipment downtime. The company operates from New York and currently serves customers via a direct sales channel, with active focus on account penetration (playbook and multi-year plan development) and reference architecture expansion.
Aquant uses Salesforce and ServiceNow for CRM and service operations, AWS/Azure/GCP for cloud infrastructure, Kubernetes and Docker for containerization, and React for frontend. Sales intelligence tools include Gong, Seamless.ai, and ZoomInfo.
Aquant is headquartered in New York, New York and was founded in 2016. The company is privately held with 51–200 employees.
Aquant's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.