Aquaculture & AgriTech
We run AquaStackX, the operating system for aquaculture labs and the farmers they serve, so we know pond data from the testing bench to the farm gate.
A pond can go from healthy to critical between two lab visits. Test results travel on paper or as phone photos, feed is logged in notebooks, and the farmer finds out too late. We build the data systems that close this gap: structured lab reports, pond health scoring, and feed records that labs, technicians, and farmers all work from.
Schedule a Free Strategy SessionOur product for this industry
LiveAquaStackX
The operating system for aquaculture labs and the farmers they serve: lab reports, pond health, and feed records in one place.
What Keeps You Up at Night
Lab results arrive too late to act on
Water, soil, and RT-PCR results are written up by hand and shared as photos. By the time a farmer reads a high ammonia or Vibrio count, the window to correct it has narrowed.
No single record of a crop cycle
Stocking, feed, sampling, and treatments sit in notebooks and chat threads. Nobody can say what the feed conversion ratio really was, or which decision changed the outcome.
Labs serve hundreds of farms with spreadsheets
A lab with several technicians and hundreds of ponds has no shared system for reports, advice, and follow-up. Quality depends on who happened to take the sample.
Farm software is not built for the farmer
Tools designed for desks do not work on a basic phone at the pond edge. If the app is not in the farmer's language and simple to read, it does not get used.
“My technicians test hundreds of ponds a month and the results still go out as photos of handwritten sheets. A farmer calls me after the shrimp are already stressed, and I cannot even pull up what we told him last time.”
Composite voice from AgriTech leaders we speak with
Where Data & AI Create Measurable ROI
Branded Digital Lab Reports
Five report types, one formatWater analysis, bore water, soil, RT-PCR, and post-larval reports in one structured format, each with the lab's branding, a QR code, and a link the farmer opens on their phone.
Pond Health Scoring
Six water parameters, one signalpH, ammonia, dissolved oxygen, temperature, salinity, and alkalinity are scored against safe and danger ranges and shown as a simple safe, warning, or danger signal for each pond.
Crop Cycle and Feed Records
FCR and biomass calculated, not estimatedDaily feed ledgers, growth sampling, and feeding charts per pond, with days of culture, biomass, feed conversion ratio, and stocking density calculated automatically.
Farmer Mobile App
Built for the pond edgePond health, latest reports, daily logs, and alerts on the farmer's phone, in English and Telugu, with the lab's advice attached to every report.
Compliance We Build For
Most data engineering firms ignore compliance until audit day. We design pipelines with regulatory requirements built in from day one, not bolted on after the fact.
Coastal Aquaculture Authority (CAA)
Coastal farms need registration and licensing records. Pond, farmer, and location data has to be accurate and easy to produce on request.
Export traceability
Buyers and export programmes ask for testing history and treatment records per crop. That record has to exist before the harvest, not be rebuilt after it.
Digital Personal Data Protection Act (India)
Farmer phone numbers and farm locations are personal data. Consent, access control, and retention rules belong in the system design.
Metrics That Matter
The KPIs we help AgriTech teams move. Not vanity metrics, but the numbers your leadership team reviews every month.
Not Sure Where to Start?
Book a free 30-minute strategy session with a senior data architect who understands AgriTech. We will tell you honestly what is fixable, what is not, and what to prioritise first.
Schedule Your Free Strategy SessionAgriTech Case Studies
Building a Real-Time Aquaculture Intelligence Platform: The AquaStackX Story
How we built AquaStackX — a mobile-first SaaS for Indian aquaculture farmers — replacing paper logs and WhatsApp photos with real-time pond monitoring, structured lab reports, and instant alerts.
68% Faster response to critical pond eventsPond Score: Building a Machine Learning Risk Engine for Aquaculture Farms
ML-based pond health scoring model built inside AquaStackX — turning time-series water quality data into a daily 0–100 disease risk score with explainable alerts and a sub-60-second scoring pipeline.
91% Accuracy on 7-day disease risk prediction (back-test)Services for AgriTech
Machine Learning & MLOps
Models that move a business number, and the MLOps that keeps them accurate long after launch.
Data Engineering & Pipeline Development
Enterprise-grade pipelines, warehouses, and lakehouses, built to your scale and documented for your team to own.
Analytics & Business Intelligence
Dashboards your team actually uses, built on clean data, with KPIs that map to decisions, not vanity metrics.
Let's Find Your Starting Point
Book a complimentary 30-minute session with a senior data or AI architect. Bring your challenge, your stack, or an open question, and leave with a clear, honest assessment of where to begin.
No pitch. No obligation. Just a useful conversation.
Typically responds within 1 business day · Available globally