In season, a shrimp hatchery's phones never stop. Farmers call people they've known for years to book seed, distributors reserve capacity for farmers they'll name later, and the whole operation lives in a few people's heads.
We built the system that runs it, then put an agent on the phone and WhatsApp, so every call ends as a confirmed order.
The first version turned the operation into software, with portals for farmers and distributors and a console for capacity, payments, production and dispatch. Then we saw the flaw. These farmers run large businesses and have no use for another login. We had made the business readable by software and still asked the customer to learn the software.
Under the screens sat the hard part, how the business actually behaves. Truck delivery and air cargo are priced differently. Water salinity has to arrive exactly as ordered. One booking can have several delivery dates, and a reservation is not a payment. We kept every rule and enforced it in the database.
Farmers call or message the hatchery the way they always have, in their own language. The agent on the other end knows the tanks, the prices and the farmer, and by the end of the call the seed is booked and confirmed on WhatsApp.
The customer agent is the first worker. Behind it, a company brain holds the live state of the hatchery, every tank, order, payment and shipment. Autonomous agents work off that brain in their own sandboxes and take the busy work off the team's hands. People handle the exceptions.
Explore how our core modules are deployed across different operational architectures.
Only a tenth of a 1,500-song catalogue had ever reached YouTube. We built the stack that produces the rest.
Devotion runs on sight and sound, not text. So we built a 3D Krishna who speaks, listens and remembers you.
Agents find the stories, script them and put an AI anchor on air. One person runs the whole desk.
