Research
Inspect the source material and define the question.
One studio for work that crosses disciplines.
An AI product may also need a data pipeline, an interface, deployment infrastructure and training. Vriksh connects those parts and brings in specialists when the work calls for them.
From an idea to something people can use.
We research the problem, make the risky parts work, test the result and prepare it for its operating environment.
Projects can end at any useful point: a technical answer, a prototype, a deployed system or an operated service.
Architecture
Set boundaries, controls and technical choices.
Prototype
Build the uncertain parts first.
Implementation
Connect the software, data and infrastructure.
Evaluation
Test quality, cost and failure behaviour.
Deployment
Release into the environment it must serve.
Operation
Monitor the system and maintain it in use.
Every project keeps its status.
Operating work is available. Building and Experimental work remains in development. Exploring records cover concept-stage ideas.
See the portfolio →