Case studies from products we have built
Real products we designed, built and shipped, with screenshots and results.
Showing 17 of 17
E-commerce & Retail
Aisle
AI Sales & Support Assistant
AI shopping assistant for online stores that combines sales chat, customer support, and a talk-to-shop voice mode in one storefront app, grounded in the live catalog.
- Channels
- Chat + Voice
- Languages
- 17
- Setup
- Zero-config
AI & Developer Tools
Cortex
Autonomous AI Engineering Platform
- Agents
- 5 Agents
- Sync
- Real-time
- Runner
- Local
E-commerce Analytics
Profitory
True Net-Profit Analytics
- Margin
- Net Profit
- Tracking
- Per-Order
- Forecast
- 30-Day
AI Customer Experience
Orbit
AI Shopping Assistant (Chat & Voice)
- Surfaces
- Chat + Voice
- Grounding
- Live Catalog
- Logs
- Transcripts
Healthcare & Life Sciences AI
Sarcoma & Brain Health AI
- Answers
- RAG
- Sources
- Cited
- Triage
- Emergency
Healthcare
AI-Powered Healthcare Platform
- Accuracy
- 95%
- Patients
- 10K+
- Hospitals
- 50+
Artificial Intelligence
ViA
AI Chatbot & Voice Assistant Platform
- Businesses
- 50+
- Response time
- < 2s
- Conversations
- 10K+
Hospitality & Travel
Hospitio
- Bookings
- 15K+
- Uptime
- 98%
- Repeat guests
- 80%
Customer Service
Textstream Pro Support Agent
- Response time
- < 2s
- Satisfaction
- 92%
- Automation
- 75%
Hospitality
Call-Based Hotel Reservation
- Accuracy
- 90%
- Booking time
- 3 min
- Success rate
- 85%
Telecommunications
CloudTalk + n8n Lead Automation System
- Automation
- 80%
- Efficiency
- 60%
- Integration
- 100%
Infrastructure
Traffic Monitoring System
- Accuracy
- 95%
- Coverage
- 100+
- Latency
- < 1s
Finance
DeFi Trading Platform
- Users
- 10K+
- Volume
- $20M+
- Uptime
- 98.9%
Inventory
Stock Management System
- Accuracy
- 99%
- Efficiency
- 50%
- Locations
- 20+
Security
Real-Time Fire and Weapon Detection
- Accuracy
- 96%
- Detection time
- < 2s
- False positives
- < 2%
Finance
Bullion Exchange Scraper
- Updates
- 24/7
- Accuracy
- 99.5%
- Exchanges
- 10+
Data Collection
Map Data Scraper for Lead Generation
- Records
- 100K+
- Accuracy
- 98%
- Speed
- 1000/hr
Questions about our projects
How we run a build, what we use and what you keep at the end.
Ask us something elseWhat kind of work is in this list?
Mostly AI products and automation: storefront assistants, voice agents, analytics tools, computer vision systems and data scrapers, plus a DeFi platform and inventory software. Each entry links to a write-up of the problem, what we built and the stack we used.
Are these real client projects?
Yes. Each case study describes a product our team built. We are happy to walk you through any of them on a call, including details that are not in the write-up.
How does a project usually run?
We start with a short discovery phase to agree on scope and success criteria. Then we build in one or two week cycles with a working demo at the end of each, test as we go, deploy to your infrastructure or ours, and stay on for support after launch.
Which technologies do you use most?
Python and TypeScript cover most of our work. Common pieces are FastAPI, Next.js and React, PostgreSQL with pgvector, Redis, LLM APIs such as Gemini and OpenAI, LangChain, n8n for workflow automation, and AWS or GCP for hosting. We pick the stack per project rather than forcing one.
Can you take over or extend a product someone else built?
Yes. We begin with a code and infrastructure review, write down what we find, and then agree on a plan for fixes and new features before changing anything.
Who owns the code when the project ends?
You do. Source code, documentation and deployment access are handed over to you, and we can keep supporting the product afterwards if you want us to.
Working on something similar?
Tell us about the problem and where you are stuck. We will reply within one business day with an honest view on scope and next steps.