DesignSilc builds multilingual farmer apps, supply chain and traceability systems, cold storage software and dairy, poultry and fish farm management tools for agribusinesses, cooperatives and NGOs worldwide.
Farmer app with local-language interface
Supply chain and traceability system
Cold storage and warehouse software
Dairy, poultry and fish farm management
AI crop advice, credit scoring & MCP server
DesignSilc is a global agritech software development company with teams in Dhaka, Austin and the UK, serving clients in 38+ countries. We build farmer apps, farm management systems, supply chain traceability and cold storage software for agribusinesses, input companies, cooperatives, NGOs and agritech startups. We design for real field conditions, with local-language interfaces, offline data collection and simple screens, so farmers, field officers and managers can record and share data reliably from village to head office.
Smallholder agriculture in South Asia, Africa and beyond involves many farmers, many intermediaries and products that spoil quickly, while export buyers in the EU and USA ask for proof of origin. Software that tracks inputs, harvests, storage and sales helps reduce loss, plan better and answer those buyers. Since 2015 our team of 70+ developers has delivered 1,000+ projects, and we can start with a pilot app for one region before scaling. Every system now ships with AI built in: photo diagnosis and voice help for farmers, risk forecasts for field teams and an MCP server so your own AI assistants can work with farm data safely.
Practical systems for farms, field teams and supply chains, built for low connectivity and local-language users.
Crop advice, weather updates, market prices, input ordering and expert Q&A with voice and picture support for low-literacy users.
Record each lot from farm to buyer with QR codes, harvest dates, quality grades and handover points for export or retail.
Chamber and rack allocation, farmer bookings, potato or produce receipts, rent billing, loans against stock and release slips.
Cattle profiles, milk yield per animal, breeding and vaccination records, feed costs and milk collection from member farmers.
Batch or pond records, feed conversion, mortality, medicine schedules, growth tracking and sale-ready forecasts.
Dealer orders and stock for seed, fertiliser and feed, field officer visits with GPS and farmer registration at scale.
From the farmer's phone to the head office dashboard, AI reads photos, answers voice questions, forecasts disease and price risk and drafts the next action, while agronomists and managers approve what goes out.
A chat and voice assistant in local languages that answers price, payment, credit balance and crop questions.
See it in the live demo → IMGFarmers snap a leaf, fruit or animal; AI names the likely problem and suggests treatment for an agronomist to confirm.
See it in the live demo → PREDCombines weather, crop stage and satellite greenness to warn of disease risk and estimate harvest per contract.
See it in the live demo → RISKScores farmers from repayment, yields and group history to suggest a safe input credit limit and flag early defaults.
See it in the live demo → COLDLearns compressor and temperature patterns and warns your team before a chamber drifts out of safe range.
See it in the live demo → MCPLets Claude, ChatGPT or your own agents query farmers, stock and prices through permissioned, logged tools.
See it in the live demo →97%
Success rate
70+
Developers
10+
Years of experience
1k+
Projects delivered
350+
Happy clients
Our agriculture apps are Android-first and offline-first, because many farmers and field officers work where mobile data is weak or expensive. Data such as farmer registrations, farm visits, photos and orders is saved on the phone and synced when a signal returns. Interfaces support multiple languages, including English, Bangla, Hindi and Swahili, with icons and voice where useful, run on low-cost phones, and can be paired with SMS for users without smartphones.
Investing in Agriculture & Agritech software with DesignSilc delivers clear, measurable advantages for your company.
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Learn more →Yes. DesignSilc builds Android farmer apps with full local-language interfaces, such as Bangla, Hindi or Swahili, plus icons and optional voice content for users with limited reading skills. Apps store data on the phone and sync when the network is available, so farmers and field officers can use them in remote areas without a stable internet connection.
Yes. DesignSilc builds cold storage management software that tracks farmer bookings, chamber and rack allocation, incoming produce such as potatoes, rent and service charges, loans given against stored goods and release slips. Owners get accurate stock and dues per farmer, and farmers can receive SMS updates about their stored lots.
Cost depends on the type of farm or business, number of users and locations, whether you need a farmer app, traceability or IoT sensors, and reporting needs. DesignSilc provides a fixed quote after a free discovery call for clients in the USA, UK, Africa, the Middle East and Bangladesh. Many agribusinesses and NGOs start with an MVP pilot in one area and expand in later phases.
A first release of a farm management system or field data app typically takes 8 to 14 weeks, depending on modules, languages and integrations. DesignSilc usually runs a pilot with a small group of farmers or field staff, refines the app from their feedback, and then rolls it out more widely.
Yes. DesignSilc builds traceability systems that give each lot a QR code and record farm, harvest date, inputs used, quality checks, storage and handover to buyers. This helps exporters and processors answer EU and US buyer questions about origin and handling. The data fields are designed around the standards your buyers or certifiers specify, such as GlobalG.A.P.-style requirements.
Each agritech system we build includes an AI assistant inside the farmer app that answers questions by chat or voice in local languages, photo-based pest and disease diagnosis, disease risk and yield forecasting from weather and crop data, farmer credit scoring with default early warning, cold chamber failure prediction and market price forecasts. Field officers also get AI-planned visit routes, and managers can ask for any season or hub report in plain language. Advisory messages are drafted by AI and approved by your agronomists before they reach farmers.
Yes. Every platform includes an MCP server, so Claude, ChatGPT, Cursor or agents your team builds can look up farmer profiles, credit portfolios, stock levels, weather and market prices through defined tools. Each connection uses role-based permissions, so an assistant sees only what that user is allowed to see. Actions such as stock transfers, loan reschedules or payment batches are created as drafts that a person reviews and approves, and every call is recorded in an audit log. You can run it with a cloud AI model or a private, on-premise one.
Tell us about your goals and we’ll get back within one business day with ideas, a timeline and a clear quote.
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