Portfolio & Case Studies

Real systems we've built for startups and enterprises across FinTech, healthcare, and retail. Each project delivered measurable business impact.

FinTechScale-up (B2B payments)

FinTech Analytics Platform

Challenge

A B2B payments company was drowning in spreadsheets and legacy reports. Finance, product, and compliance each pulled from different sources; closing the books and answering regulator questions took weeks. There was no single source of truth or real-time view of risk and revenue.

Solution

We designed and built a unified analytics platform that ingests data from 12 internal and partner systems via secure pipelines, normalizes it in a cloud data warehouse, and powers real-time dashboards for finance, product, and compliance. We added automated compliance reporting and alerting so the team could respond to anomalies within hours instead of days.

Technology Used

PythondbtSnowflakeLookerAWSFivetranREST APIs

Business Impact

40% faster reporting cycles, unified view across 12 data sources, compliance reports generated in minutes instead of weeks

Key Features

  • •Real-time dashboards
  • •Data pipelines
  • •Compliance reporting
  • •API integrations
  • •Alerting
Related service: Data Engineering & Analytics →
HealthcareRegional healthcare provider

Healthcare AI Scheduling Assistant

Challenge

A regional provider was losing revenue to no-shows and burning staff time on phone-based scheduling. Front-desk teams spent most of their day on appointment management; patients complained about long hold times and limited self-service options. No-shows were running at 22%.

Solution

We built an AI-powered scheduling assistant that integrates with their EHR, handles appointment booking and rescheduling via voice and chat, sends automated reminders with one-click reschedule links, and performs light triage for routine questions. Staff focus on complex cases and in-person care.

Technology Used

Anthropic ClaudeTwilioEHR APIsPythonReactPostgreSQL

Business Impact

35% reduction in no-shows, 50% fewer scheduling-related phone calls, improved patient satisfaction scores

Key Features

  • •Natural language scheduling
  • •EHR integration
  • •Automated reminders
  • •Rescheduling flows
  • •Triage
Related service: AI & Machine Learning Solutions →
RetailDTC e-commerce brand

E-Commerce Personalization Engine

Challenge

A fast-growing DTC brand had a one-size-fits-all site experience. Conversion and average order value were flat despite traffic growth; marketing was spending heavily on retargeting without a clear link to on-site behavior. They had rich behavioral data but no way to use it in real time.

Solution

We implemented a personalization engine that scores users in real time based on browsing and purchase history, segments them for tailored messaging and product recommendations, and powers dynamic homepage and category experiences. We integrated A/B testing so the team could iterate on placement and logic without code changes.

Technology Used

PythonTensorFlowRedisNext.jsGCPBigQuery

Business Impact

28% lift in conversion rate, 22% increase in average order value, measurable ROI on personalization within one quarter

Key Features

  • •Recommendation models
  • •Behavioral segmentation
  • •Real-time scoring
  • •A/B testing
  • •Dynamic content
Related service: AI & Machine Learning Solutions →

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