Mail delivery is a centuries-old system with little innovation, leaving homeowners without real-time insights into deliveries, unwanted junk mail, or security risks. Traditional mailboxes provide zero intelligence—no way to know when mail arrives, if it’s picked up, or even if a mailbox is being tampered with.
Finley Mail set out to redefine the modern mailbox by creating an AI-powered, edge-connected solution that integrates real-time alerts, AI-based mail classification, and user-controlled junk mail filtering. However, building a scalable AI system with robust backend automation, data enrichment, and an intuitive user interface posed a challenge.
To bring this vision to life, Finley needed a powerful AI orchestration platform—one that could handle AI model execution, workflow automation, and seamless API integrations with both third-party and proprietary systems.
Finley Mail partnered with Contextual to build an AI-powered smart mailbox solution, using SolutionAI to orchestrate its AI models, automate workflows, and provide seamless backend support for the Finley mobile app.
Using Contextual’s low-code AI development environment, Finley rapidly deployed an advanced AI-driven backend to:
- Process Edge AI Data – A motion-activated camera and custom-trained AI model detect mail deliveries and pickups.
- Classify & Categorize Mail – Contextual’s AI-powered workflow integrates USPS Informed Delivery data, categorizing mail into junk, promotional, financial, or critical mail.
- Enable Junk Mail Blocking – Users can unsubscribe from unwanted senders directly in the app.
- Deliver Real-Time Notifications – Finley leverages Contextual’s API to provide instant mobile alerts when mail is delivered or picked up.
By using Contextual’s API-driven infrastructure, Finley Mail streamlined data management, model orchestration, and automation—all without building a custom backend from scratch.
