Real Challenges. Intelligent Solutions. Measurable Results.

The Client

A mid-size healthcare insurance provider processing approximately 15,000 claims per month, relying heavily on manual data entry and verification processes that were creating significant operational bottlenecks and contributing to an average claims processing time of 11 days.

The Challenge

The client's manual claims processing operation was struggling to keep pace with volume growth. Each claim required a human operator to manually extract data, cross-reference patient records, verify coverage details, and flag anomalies. The process was slow, expensive, error-prone, and frustrating for both the operations team and waiting policyholders. The goal: reduce processing time by at least 60% without increasing headcount.

Our Solution

Devrubble designed a comprehensive AI-powered claims automation system built on three components: a custom document intelligence pipeline using computer vision and NLP achieving 97.3% extraction accuracy; an AI decision engine trained on five years of historical claims data for coverage verification and preliminary approval recommendations; and a real-time operations dashboard giving management complete visibility into pipeline performance and team productivity.

The Client

A growing direct-to-consumer wellness brand generating $4M in annual online revenue through an aging Shopify theme that was struggling to handle traffic spikes and delivering a suboptimal mobile shopping experience.

The Challenge

Performance issues during peak traffic periods were resulting in abandoned carts and lost sales. Core Web Vitals scores were poor, mobile checkout had a high drop-off rate, and platform limitations constrained the marketing team's ability to create compelling campaign experiences. The client also needed AI-powered product recommendations and subscription commerce capability.

Our Solution

Devrubble built a headless commerce architecture using Next.js as the frontend and Shopify's Storefront API as the commerce backend, delivering a fully custom high-performance shopping experience while retaining Shopify's robust infrastructure. We implemented a custom AI product recommendation engine trained on purchase and browsing data, integrated natively into product pages and cart. We also integrated Recharge for subscription commerce — a first for the client.

The Client

A logistics and field services company with 400+ field technicians operating across three states, relying on paper-based work orders and manual phone-based dispatch that were creating significant coordination inefficiencies and customer satisfaction issues.

The Challenge

The client's field operations ran on paper work orders, phone calls, and spreadsheets. Dispatchers had no real-time visibility into technician locations or job status. Field technicians had no access to historical job data when on-site. Customers had no way to track appointments. The result: high volumes of missed appointments, delayed completions, and customer complaints.

Our Solution

Devrubble built a comprehensive field operations platform: a React Native cross-platform mobile app for technicians with full offline capability, a web-based dispatch dashboard for the operations team, and a customer-facing status portal. We integrated an AI-powered route optimization engine to reduce driving distances, plus automated SMS notifications and real-time job tracking links for customers.

The Client

A legal technology startup building a B2B SaaS platform designed to help in-house legal teams and law firms automate the review, classification, and risk assessment of commercial contracts.

The Challenge

Contract review is one of the most time-consuming and expensive activities in corporate legal work. The client had a clear vision for an AI-powered platform but lacked the technical team to build it. They needed a development partner with deep AI expertise — particularly around large language model integration and document processing at scale.

Our Solution

Devrubble served as the client's full-stack development partner from ideation through initial launch. We built a multi-tenant SaaS platform with a React frontend, Node.js/NestJS backend, and a Python-based AI pipeline combining fine-tuned LLMs and NLP to classify contracts, extract key clauses, identify non-standard provisions, and generate risk assessments. The platform included a collaborative review workspace with real-time editing, Stripe billing, an admin portal, and an enterprise API layer.