AI-driven accounts payable automation for multi-location finance teams
Ottimate sells AI-based AP automation covering invoice capture through payment, with specialties in restaurants, hospitality and grocery. Its stack pairs Python, Django, PostgreSQL and Angular with OpenAI and self-hosted vLLM inference, and integrations into Sage Intacct, NetSuite, Dynamics 365 and Infor. Hiring is accelerating across implementation-facing ops, product and engineering, while projects in procurement, budgeting and contracts point to expansion beyond core AP.
Ottimate is a privately held software company founded in 2014 and headquartered in San Francisco, California, with 51–200 employees. It provides an accounts payable automation platform that digitizes invoices at the line-item level, handles bill pay and virtual card payments, and flags overpayments, fraud and policy violations. Its customers are finance teams, with particular focus on restaurants, food and beverage, hotels and grocery operators. The platform connects to accounting and ERP systems including Sage Intacct, NetSuite, Dynamics 365 and Infor. Current hiring is concentrated in the United States.
Ottimate's product stack includes Python, Django, PostgreSQL and Angular, with OpenAI and vLLM for AI workloads. Go-to-market and support tools include Salesforce, HubSpot, Marketo, 6sense, Zendesk and Freshdesk.
Ottimate's stack signals point to Sage Intacct, NetSuite, Dynamics 365 and Infor, and integration reliability and new integration capabilities appear among its current priorities.
Yes, hiring is accelerating, spread across engineering, operations, product, sales and support, with roles in the United States ranging from junior to director level.
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Ottimate'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.