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Case Studies

Outcomes, not promises.

Representative project outcomes from real delivery work. Some figures are anonymized or rounded to protect client confidentiality.

AI Automation

B2B SaaS

Lead qualification fully automated

n8n OpenAI HubSpot API Clearbit

Starting point

A B2B SaaS company spent 3+ hours per day manually reviewing inbound leads, creating CRM entries, and writing follow-up emails.

Our solution

We built an n8n workflow that automatically classifies leads, enriches them (Clearbit, LinkedIn), writes to CRM, and sends personalized first-touch emails.

Results

  • Manual lead-processing workload reduced significantly

  • First-response speed moved from hours to minutes

  • Higher conversion through faster and more consistent follow-up

SaaS Product

PropTech

SaaS platform launched in 6 weeks

Next.js Supabase Stripe Vercel

Starting point

A startup founder had a clear product idea for real estate, but no in-house tech team and a tight budget for long agency development cycles.

Our solution

Using SupaStarter, we delivered a full multi-tenant SaaS platform with Stripe subscriptions, document management, and a reporting dashboard.

Results

  • Live in a short sprint window

  • First paying customers shortly after launch

  • Early recurring revenue established in the first quarter

API Integration

E-Commerce

Order, CRM, and ERP data synchronized in real time

Python FastAPI PostgreSQL Webhook Architecture

Starting point

An e-commerce company operated across three data silos: shop system, CRM, and ERP. Cross-team reports were error-prone and often a day behind.

Our solution

We implemented robust API integrations with event queues, retry logic, and monitoring so changes across systems were harmonized in real time.

Results

  • Data-quality incidents reduced materially

  • Reporting shifted from delayed batches to near real-time visibility

  • Fewer support escalations caused by data mismatches

AI Agent System

Consulting

Research agent replaced 40h/week of manual work

Python LangGraph OpenAI Tavily Notion API

Starting point

A consulting firm produced weekly market analyses for clients — a process that consumed 40+ analyst hours and still ran late.

Our solution

We built a multi-agent system with LangGraph: research agent (web/news APIs), analysis agent (synthesis + evaluation), and report agent (document generation).

Results

  • Analysis time reduced from 40h to 45 minutes

  • Reports generated automatically in client-ready format

  • Fully integrated into existing workflow tools

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