Maxima builds agentic AI for enterprise accounting operations, with a tech stack spanning Go, Python, TypeScript, and integrations across NetSuite, SAP, Oracle, and Workday. The company is hiring almost equally across sales and engineering—a balanced split unusual for a 2024 AI startup—suggesting product-market fit is driving both GTM scaling and platform depth. Active projects center on journal entry automation, reconciliation workflows, and integrations into transaction systems, directly targeting the month-end close pain points that dominate their customer conversations.
Maxima AI delivers an agentic platform purpose-built for enterprise accounting operations. The product automates the full month-end close cycle: pulling transaction data from finance stacks, transforming entries, posting to the general ledger, reconciling balances, detecting anomalies, and generating variance explanations—all designed for SOX compliance and human review. The company operates from San Mateo and serves mid-market and enterprise finance teams navigating high-volume financial data and multi-entity compliance requirements.
Maxima's core stack includes Go, Python, and TypeScript for backend/frontend, with React and Next.js for UI. It integrates deeply with enterprise finance systems: NetSuite, SAP, Oracle, Workday, and supports Excel and Google Sheets workflows.
Current projects include journal entry automation, transaction system integrations, agentic workflows using LLMs, reconciliation logic, and design foundations for an AI-native accounting platform. Sales playbook refinement and GTM direction are also active.
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