platoseed
AI based Customizable Subscription & Revenue Management Platform
SubscriptionFlow is an AI-based customizable revenue management platform that helps SMBs optimize subscription revenue. It monitors user activity to identify customers at risk of churning and automatically alerts the sales team. For example, eLearning/SaaS/Membership businesses require to monitor subscription usage to improve customer retention. Ecommerce/Magazine companies need to see the subscription trends to cross-sell and upsell products/services.
SubscriptionFlow offers an AI-native billing and subscription management platform designed to optimize revenue, retention, and cash flow for recurring businesses. It emphasizes AI-powered billing, lifecycle management, and integrations to automate subscription operations and growth.
Provides AI-driven billing and subscription orchestration with features for product/plan management, pricing/catalogs, trial management, metered and usage-based billing, invoicing, checkout, payment retries, revenue management (upsell/cross-sell/renewals), churn reduction, and real-time analytics. Integrates with multiple payment gateways, supports global payments and multiple currencies, and offers configurable billing models (flat fee, usage-based, hybrid, pay-per-use, demand-based). Includes customer portal, automation for collections and reconciliation, and APIs/webhooks for developers to connect third-party tools. Marketing and sales workflows are aided by retention and activation dashboards and automated playbooks.
Who it’s for: SaaS companies and other subscription-based businesses seeking AI-enhanced billing, pricing optimization, retention, and revenue management.
Hiring/traction mentions implied by feature-rich platform and partnership-like resources; growth-focused messaging and demos, but no explicit funding details.
Kashif Saleem has over 12 years of experience in helping SMBs with SaaS apps. Certified in Technology Entrepreneurship from London Business School (LBS). He worked as a Cloud computing Research Fellow at the University of Oxford. He also worked at JP Morgan Chase as a High-Frequency programmer in London Equity Trading.

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