A software consultancy working across modern cloud, data and AI stacks — plus an in-house engineering group building our own products for the automobile and agriculture industries, backed by a dedicated R&D lab.
Consulting funds the work. Products prove it can survive contact with the real world. R&D keeps both from going stale.
We embed with your team to design, build and ship software on current cloud, data and AI stacks — from the first architecture sketch to the system running in production.
Two product lines we design, own and operate ourselves: VaahanOS for vehicle fleets and OEMs, and KhetOS for farm equipment and agri-cooperatives.
A small applied-research group testing computer vision, predictive maintenance and edge inference against real vehicles and real fields before it ever reaches a client roadmap.
We're deliberately stack-current — teams rotate through new tooling constantly so recommendations come from production experience, not a slide deck.
Architecture, infrastructure-as-code, container platforms and CI/CD for teams scaling past their first deploy pipeline.
LLM-backed features, retrieval pipelines, model fine-tuning and the unglamorous evaluation harnesses that keep them honest in production.
Streaming and batch pipelines, warehouse design and the telemetry backbone that later feeds analytics and ML.
Web, mobile and embedded application development, from a first working prototype through to a maintained, versioned release.
Untangling monoliths, retiring unsupported frameworks and migrating systems without stopping the business that depends on them.
Automobiles and agriculture share the same hard problem: expensive machinery, unreliable connectivity, and operators who need answers, not dashboards. We build the software layer for both.
Fleet intelligence and embedded diagnostics for OEMs, fleet operators and workshops — reading the vehicle's own signals instead of guessing from a service log.
VaahanOS reads directly from a vehicle's onboard systems and turns raw signal data into maintenance decisions — before a breakdown, not after one.
Precision farm-management and equipment telemetry for cooperatives, agri-machinery makers and large-acreage operators.
KhetOS combines low-bandwidth field sensors, equipment telemetry and satellite imagery into decisions a farm manager can act on the same day.
Our lab exists to de-risk what goes into VaahanOS and KhetOS — and, where it's general enough, into client work too. Everything here is tested against real vehicles and real crops before it ships.
Running vision and anomaly-detection models directly on field and vehicle hardware, so decisions don't wait on a signal bar.
Separating genuine fault signatures from the electrical noise typical of older or mixed-fleet vehicles.
Low-cost sensor combinations that approximate results from far more expensive imaging equipment.
Improving shared models across operators without moving any one operator's raw data off their own infrastructure.
No handoff between the people who scope the work and the people who build it.
We spend time in your systems and with your operators before proposing anything — most bad architecture starts from a missed constraint here.
A concrete technical plan: stack choices, integration points, and where the real risk in the project actually sits.
Short iterations, working software from week one, and direct access to the engineers doing the work.
We stay on for monitoring, on-call and iteration — or hand off cleanly to your team with full documentation.
Whether it's a consulting engagement, a pilot of VaahanOS or KhetOS, or a research collaboration — we reply within one business day.