Customer Success Stories

The Challenge: A seed-stage startup needed a production-ready B2B analytics dashboard to demo to investors and onboard pilot customers. They received outsourcing quotes ranging from $80K to $150K with 3-5 month timelines — budgets and timelines that would burn through their runway before they could validate product-market fit.

The Approach: iFeo's AI agents analyzed the product requirements document and generated a full technical architecture within hours. The Architect Agent designed a scalable React frontend with a Node.js API layer and PostgreSQL database. The Developer Agent built the application in iterative sprints, with the QA Agent writing integration tests in parallel. The DevOps Agent configured CI/CD pipelines, containerized the app, and deployed to AWS.

The Stack: React 18 with TypeScript, Node.js/Express API, PostgreSQL with Prisma ORM, Redis caching, AWS ECS with Terraform, GitHub Actions CI/CD, Stripe integration for billing, Auth0 for authentication.

The Result: A fully functional SaaS product with user auth, team management, data import pipelines, interactive dashboards, Stripe billing, and an admin panel — delivered in 4 weeks at $7,500 total cost. The startup secured their Series A three months later, citing the working product as the decisive factor.

The Challenge: A Series A fintech company had a Django monolith handling payment processing, KYC verification, and transaction monitoring. The codebase had grown to 180K lines with tightly coupled modules, making new features take weeks instead of days. Their outsourced team estimated 5 months and $250K for the migration.

The Approach: iFeo's Architect Agent analyzed the existing codebase and identified 7 natural service boundaries. The migration plan preserved the existing API contracts while decomposing into independently deployable services. Developer Agents worked on multiple services simultaneously — something a human team of the same cost couldn't do. Each service was built with comprehensive contract tests ensuring inter-service compatibility.

The Stack: Python FastAPI microservices, PostgreSQL (per-service databases), Redis for caching/pub-sub, Kubernetes on GKE, Helm charts, gRPC for inter-service communication, OpenTelemetry observability, Terraform IaC.

The Result: All 7 microservices deployed and running in production with zero downtime migration using a strangler fig pattern. API response times improved by 40%. New features that previously took 2-3 weeks now ship in 2-3 days. Full observability stack with distributed tracing across all services.

The Challenge: A mid-market retailer with 120+ stores needed a mobile app for real-time inventory management, barcode scanning, and automatic reorder triggers. Their 5-person outsourced team had been working for 4 months and delivered a buggy prototype that crashed on older devices. They needed to start over with a reliable solution.

The Approach: iFeo agents audited the failed prototype to understand the requirements, then designed a new architecture from scratch. The app was built in React Native for cross-platform deployment (iOS + Android from a single codebase), with a performant Go backend handling real-time inventory sync across all stores via WebSocket connections. Every deployment passed through human review gates.

The Stack: React Native with TypeScript, Go backend with Gin framework, PostgreSQL with real-time sync, WebSocket connections for live inventory updates, barcode scanning via device camera APIs, offline-first architecture with local SQLite cache, AWS deployment with CloudFront CDN.

The Result: A polished cross-platform app deployed to both app stores, handling real-time inventory across 120+ locations. Inventory accuracy improved from 84% to 99.2%. Store managers reported 65% less time spent on manual stock checks. The app handles 50K+ daily barcode scans with sub-second sync times.

The Challenge: A growing direct-to-consumer brand outgrew Shopify's limitations. They needed custom product configurators, subscription management, and a headless CMS for content marketing — features that required expensive Shopify Plus plugins or custom development. Agencies quoted $60K–$100K.

The Approach: iFeo built a headless e-commerce platform using Next.js for the storefront (achieving 95+ Lighthouse scores), Stripe for payments and subscriptions, and Sanity CMS for content management. The product configurator was built as an interactive React component with real-time pricing updates. AI agents handled SEO optimization, accessibility compliance, and performance tuning as part of the standard delivery.

The Stack: Next.js 14 with App Router, Sanity CMS headless backend, Stripe Payments + Subscriptions, Vercel deployment with edge caching, Tailwind CSS, Algolia search, SendGrid transactional emails, Google Analytics 4 integration.

The Result: A blazing-fast storefront with 98 Lighthouse performance score, custom product configurator, subscription management, blog with SEO-optimized content pages, and a full admin panel. Page load times dropped from 3.2s (old Shopify) to 0.8s. Conversion rate improved by 23% in the first month after migration.

The Challenge: A healthcare company with 30 clinics was managing patient scheduling across 5 different systems, with billing reconciliation requiring 12 hours of manual work per week per clinic. They needed a unified platform but couldn't find an off-the-shelf solution that met HIPAA requirements and integrated with their existing EHR system.

The Approach: iFeo's agents designed a HIPAA-compliant architecture with end-to-end encryption, audit logging, and role-based access control. The platform integrated with the existing EHR via HL7 FHIR APIs. AI agents implemented automated billing reconciliation rules that replaced the manual process, with a human-reviewed exception queue for edge cases.

The Stack: Vue.js 3 frontend with TypeScript, .NET 8 backend, SQL Server with encrypted storage, Azure deployment (HIPAA BAA), HL7 FHIR integration, Azure AD B2C authentication, Application Insights monitoring, Automated billing reconciliation engine.

The Result: A unified scheduling and billing platform serving 30 clinics with 200+ staff users. Billing reconciliation time dropped from 12 hours/week/clinic to 45 minutes. Scheduling conflicts reduced by 89%. The platform passed HIPAA security audit on the first attempt with zero findings.