Industries we build for
We build AI automation, websites and software for eight sectors where the same operational problems recur. Each page names the failure modes specific to that industry, what we build to remove them, and what measurably changes afterwards.
Pick the one that describes you
If your sector is not here, the underlying work usually still applies — these pages exist because the examples land harder when they are from your world.
E-commerce & D2C
AI automation and storefronts for e-commerce and D2C brands
E-commerce & D2C solutions →02Real Estate
Lead qualification and WhatsApp automation for real estate
Real Estate solutions →03Healthcare & Clinics
Appointment automation and patient intake for clinics
Healthcare & Clinics solutions →04Education & EdTech
Admissions automation and enrolment funnels for education
Education & EdTech solutions →05Financial Services
Compliant automation and portals for financial services
Financial Services solutions →06Logistics & Supply Chain
Shipment tracking and customer self-service for logistics
Logistics & Supply Chain solutions →07Professional Services
Client intake and automation for professional services firms
Professional Services solutions →08Hospitality & Restaurants
Booking and guest automation for hospitality and restaurants
Hospitality & Restaurants solutions →One bottleneck first, not a transformation programme
Every industry page lists several things we can build. We would rather you started with one.
- Pick the process costing the most hours, not the one that feels most broken
- Map it before building — steps routinely disappear at this stage, which is free
- Ship that one thing and measure what it actually recovered
- Expand only once the first piece has paid for itself
- If the numbers do not work, we say so rather than proposing phase two
Services behind this work
Which of these is costing you the most?
Tell us the process, not the solution. We will tell you whether it is worth automating and roughly what it would take — before there is a proposal involved.