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How Fountain cut document processing time by 90% with Pulse. "Pulse delivers the perfect balance of technical flexibility and high-precision OCR." - Shawn Cook, Compliance Engineering Team Lead at Fountain Summary. Fountain partnered with Pulse to power the document intelligence layer of its Compliance product, enabling faster processing, higher accuracy, and scalable support for a wide range of compliance documents across industries and geographies. By integrating Pulse directly into the Compliance engine, Fountain reduced worker friction during uploads, improved data extraction reliability, and gave customers greater confidence in compliance outcomes, all while maintaining flexibility as document requirements evolve. About Fountain. Fountain is the AI-native platform for managing the global frontline workforce. Through its AI-native operating system Frontline OS, businesses can 10x their team, 10x their speed, and 10x their talent, to unlock unprecedented efficiency and impact. With a modular architecture, orchestration agents, and a commitment to equity and transparency, Fountain is reinventing how businesses hire, retain, and empower millions of workers across logistics, retail, hospitality, and healthcare. The challenge. Fountain's customers support large, distributed frontline workforces across industries such as Logistics, Transportation, Retail, and Outsourced Services, where compliance plays a critical role in hiring and ongoing workforce management. These teams must collect and review a wide range of compliance documents, including licenses, certifications, identity documents, and region-specific credentials, which vary significantly by role, location, and regulatory environment. As Fountain scaled, several challenges became increasingly difficult to manage with existing tools: * High document variability: Each customer required different document types, formats, and data fields, making rigid OCR setups costly to maintain and slow to adapt. * Processing speed: Time to process uploads directly impacted worker drop-off rates during onboarding. Slow or unreliable extraction increased friction at the most critical moment in the worker journey. * Accuracy and reliability: Poor extraction accuracy led to more worker re-submissions, increased manual review, and a higher risk of downstream errors that customers needed to catch themselves. * Operational scalability: Supporting new document types often required additional configuration, training, or vendor coordination, limiting Fountain's ability to move quickly. Fountain needed a document intelligence solution that could scale with customer demand without compromising speed or accuracy. Why Pulse. After evaluating multiple OCR and LLM-based solutions, Fountain selected Pulse as the foundation for its document extraction layer. Key reasons for choosing Pulse included: * Strong performance across document types: Pulse consistently outperformed alternative tools on extraction accuracy across varied document formats and image qualities. * Flexible, on-the-fly integration: Pulse made it easy to support new document types and evolving requirements without heavy upfront configuration. * Production-ready reliability: The system delivered consistent results at scale, supporting Fountain's need for predictable performance in high-volume workflows. * Fast time to value: Pulse could be embedded directly into Fountain's Compliance engine without disrupting existing customer workflows. Pulse provided the balance of speed, adaptability, and accuracy Fountain needed to support a rapidly growing compliance footprint. Implementation. Pulse is integrated directly into the core engine of Fountain Compliance. When a worker uploads a document, Pulse performs the initial data extraction in real time, identifying key fields such as names, dates, and identifiers. This extracted data is then surfaced within the Compliance product for validation, review, and downstream workflows. * Minimize latency during uploads * Reduce the need for manual corrections by workers * Support a wide range of document formats without specialized per-document setup * Fit seamlessly into Fountain's existing Compliance review experience Because Pulse operates behind the scenes, customers and workers benefit from faster, smoother workflows without needing to learn or manage a new tool. Pulse delivers the perfect balance of technical flexibility and high-precision OCR. The per-field prompt hints allow its team to fine-tune compliance checks for frontline workers with ease. It's a more accurate, more developer-friendly, and more cost-effective solution than anything else Trypulse has used. - Shawn Cook, Compliance Engineering Team Lead at Fountain Impact. By integrating Pulse into the Compliance product, Fountain achieved measurable improvements across both worker experience and internal operations. * Faster document processing: Reduced time from upload to review, helping lower worker drop-off during onboarding. * Improved extraction accuracy: Fewer worker corrections and less manual review required by customers. * Greater scalability: New document types and customer requirements can be supported without significant operational overhead. * Increased customer confidence: More reliable data extraction reduced downstream compliance risk and audit concerns. Pulse enabled Trypulse to scale its Compliance product without sacrificing speed or accuracy, and their team's partnership and technical collaboration made the integration straightforward and reliable. - Joseph Lee, Compliance Product Manager at Fountain Looking forward. Fountain continues to expand its Compliance product to support more industries, document types, and regulatory requirements. Pulse remains a key partner in this evolution, enabling Fountain to iterate quickly while maintaining high standards for performance and reliability. * Expand automated extraction to additional compliance workflows * Continue improving worker upload success rates * Leverage richer extracted data for risk detection and reporting With Pulse embedded at the core of its Compliance engine, Fountain is well-positioned to help its frontline customers stay compliant as their workforce and regulatory complexity grows. Interested in building faster, more reliable document workflows? Learn how Pulse helps teams turn complex documents into production-ready data at scale. Try it here.

Webhooks are now live in Pulse. If you're running asynchronous extractions at scale, you've probably built some version of a polling loop. Check if the job is done. Wait. Check again. It works, but it's not elegant, and it adds latency to workflows that could be reacting in real time. Today Trypulse is making webhooks generally available in Pulse, so your systems can respond immediately when extraction jobs progress, without the polling overhead. How it works. Webhooks provide real-time notifications for extraction lifecycle events: * Job started: trigger downstream prep work * Job completed: immediately process results * Job failed: route to error handling or alerting When an event fires, Pulse sends a signed payload to your configured endpoint. You verify the signature server-side to confirm the request originated from Pulse and hasn't been tampered with. Built for production. Trypulse partnered with Svix to power webhook delivery, which means: Automatic retries with exponential backoff. If your endpoint is temporarily unavailable, Trypulse'll keep trying with increasing delays rather than dropping the event. Delivery logs and event history. Everything is visible in the dashboard: delivery attempts, response codes, and payloads. When something doesn't look right, you have the data to debug it. Verifiable signatures. Every payload includes a signature you can check to ensure authenticity. No guessing whether a request actually came from Pulse. Why this matters. For teams processing documents at volume, the difference between polling and push is meaningful. Webhooks let you: * Kick off downstream workflows the moment extraction completes * Build event-driven architectures without polling infrastructure * Reduce end-to-end latency in automated pipelines * Get notified of failures immediately rather than discovering them later It's a small addition infrastructure-wise, but it came up a lot in conversations with teams scaling their extraction workflows. Available now in the Pulse platform (Link here)