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§ Private Profile · San Francisco, CA, USA
AI agents platform automates accounts receivable for enterprise finance teams, focused on end-to-end AR automation.
Based in San Francisco, California, Fazeshift develops artificial intelligence agents that automate the entire accounts receivable lifecycle for enterprise finance and accounting departments. The software-as-a-service platform manages complex workflows such as invoicing, cash application, collections, credit checks, and payment disputes by integrating directly with existing enterprise resource planning systems including NetSuite, Stripe, and Sage Intacct. Operating within an addressable market of approximately 500 billion annual invoices, the SOC 2 Type II compliant company currently maintains a workforce of eight employees and generates under $5 million in annual revenue. The financial technology firm has raised approximately $4.5 million in total venture capital funding, highlighted by a $4 million seed round led by Gradient with additional participation from Y Combinator. Fazeshift was founded in 2023 by chief executive officer Caitlin Leksana and chief technology officer Timmy Galvin.
Fazeshift has raised $4.5M across 2 funding rounds.
Key people at Fazeshift.
Fazeshift was founded in 2023 by Timmy Galvin (Founder) and Caitlin Leksana (Founder).
Fazeshift has raised $4.5M in total across 2 funding rounds.
Fazeshift has raised $4.5M across 2 funding rounds. Most recently, it raised $4.0M Seed in January 2025.
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Jan 1, 2025 | $4M Seed | Gradient | Alloy Fund, Arrive, Craft Ventures, Floodgate, Giant Ventures, Gradient Ventures, LAUNCH, Mischief Venture Capital, Slow Ventures, Y Combinator, Drew Houston, Emmett Shear, Kyle Vogt, Michael Stoppelman, RAN Makavy | Announced |
| Sep 1, 2024 | $500K Seed | — | Craft Ventures, Floodgate, Giant Ventures, LAUNCH, Slow Ventures, Y Combinator, Drew Houston, Emmett Shear, Kyle Vogt | Announced |
Key people at Fazeshift.
Fazeshift is an AI-powered platform that automates the entire accounts receivable (AR) process for enterprises, from invoice generation to cash application and collections. It serves finance teams by reducing manual workloads, improving cash flow, and increasing accuracy in AR operations through intelligent automation integrated with existing ERP, CRM, and billing systems like NetSuite, Stripe, and Sage Intacct[1][2][5]. The platform addresses complex billing workflows, payment matching, credit checks, and customer communications, enabling companies to save time and money while enhancing operational efficiency[1][3].
For an investment firm, Fazeshift represents a cutting-edge fintech startup focused on transforming financial operations with AI, targeting the large and inefficient AR market. Its mission is to streamline finance processes by replacing manual, error-prone tasks with intelligent automation. Fazeshift’s investment appeal lies in its enterprise-grade scalability, advanced AI capabilities, and seamless integration with existing financial systems, positioning it strongly in the fintech and AI sectors[3][4]. It impacts the startup ecosystem by demonstrating how AI agents can penetrate sensitive business processes, setting a precedent for AI-driven automation in finance.
Fazeshift was founded in 2023 by Timmy Galvin and Caitlin Leksana, who identified the inefficiencies in traditional AR management, which relied heavily on manual labor and spreadsheets despite the massive volume of invoices processed annually (500 billion invoices)[4]. The founders leveraged their understanding of finance and AI to create a platform that automates the entire AR workflow, integrating with popular tools like Salesforce, HubSpot, and DocuSign to eliminate tedious manual tasks[4]. Early traction includes securing a $4 million seed round led by Gradient, with backing from Y Combinator and Google’s AI fund, validating the market need and technological innovation behind Fazeshift[3][4].
Fazeshift rides the wave of AI-driven automation transforming traditional finance functions, particularly in accounts receivable—a historically manual and inefficient process costing enterprises billions annually[3]. The timing is critical as enterprises seek to digitize and automate finance operations to improve cash flow and reduce operational costs amid increasing complexity in billing and payments. Market forces such as the rise of AI agents, integration demands with existing financial software, and the need for scalable, accurate automation favor Fazeshift’s growth[3][6]. By demonstrating AI’s capability to handle sensitive financial workflows autonomously, Fazeshift influences broader adoption of AI in enterprise finance and sets a benchmark for future fintech innovations.
Fazeshift is poised to expand its footprint in the enterprise finance sector by deepening AI capabilities and broadening integrations with diverse ERP and billing platforms. Future trends shaping its journey include increasing adoption of AI agents for end-to-end financial automation, growing demand for real-time financial insights, and the push for improved customer payment experiences. As AI models evolve, Fazeshift’s influence may extend beyond AR into other finance operations, further automating and optimizing corporate financial workflows. Its success will likely inspire more AI-driven fintech solutions, reinforcing the shift toward intelligent automation in enterprise finance[3][6].
Returning to the core value proposition, Fazeshift exemplifies how AI agents can transform a traditionally manual, costly, and error-prone process into a streamlined, efficient, and scalable operation, unlocking significant value for finance teams and enterprises alike.
Fazeshift was founded in 2023 by Timmy Galvin (Founder) and Caitlin Leksana (Founder).
Fazeshift has raised $4.5M in total across 2 funding rounds.
Fazeshift's investors include Gradient Ventures, Alloy Fund, Arrive, Craft Ventures, Floodgate, Giant Ventures, LAUNCH, Mischief Venture Capital, Slow Ventures, Y Combinator, Drew Houston, Emmett Shear.