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Industry

Agriculture & Agritech

Field sensing, yield forecasting, cold chain, and traceability from farm to buyer.

Panorama of Srinagar with Dal Lake and the mountains beyond

Agriculture is a distributed control problem with poor connectivity and a very short window to act. We build field sensing and irrigation control that works offline, yield and quality forecasting from satellite and ground data, cold-chain monitoring through the supply chain, and traceability that a buyer or a regulator can verify rather than take on trust.

What we see

  • Field data that never reaches a decision maker while the decision still matters
  • Irrigation and input decisions made on a calendar rather than on measured conditions
  • Cold-chain excursions discovered when the consignment is rejected at delivery
  • Traceability claims that cannot be evidenced back to a plot and a date

What we bring

How we help

What we bring to agriculture.

The systems this industry draws on, layer by layer.

01

Industrial IoT & Edge

Connected asset platforms from sensor to decision.

What we build
02

Predictive Analytics

Systems that turn history into a decision rather than a dashboard.

What we build
03

Computer Vision

Vision pipelines that run at the speed of the process they watch.

What we build
04

Mobile Applications

Native and cross-platform mobile applications, including field applications for people who work where connectivity does not reach.

What we build
05

Data Platforms

Data platforms built for freshness and lineage.

What we build
06

Custom Software Development

End-to-end delivery of bespoke business systems: discovery and domain modelling, architecture, implementation, test automation, deployment, and support.

What we build

Bring us the whole problem.

Tell us where the work is stuck, whether that is a model that never reached production, an application nobody can change, a data platform nobody trusts, or a plant the business cannot see. An engineer replies with a first read, not a sales deck.