Generative AI use cases that survive the pilot
Why many generative AI pilots stall, and the selection criteria, evaluation and guardrails that help the good ones reach production.
We design, build, test and maintain web platforms, mobile apps and software products, and we treat quality and accessibility as engineering work rather than a final checklist.
What you can expect
Overview
Every sprint ends with working software and a demo. Tests run in the pipeline, not in a spreadsheet, and accessibility is checked before a feature is called done.
When a product matures, we can take over sustenance of older versions so your core team can stay focused on what comes next.
Our team works from Pune. We can work onsite in and around the city, and remotely for organizations across India and abroad.
Capabilities
From the first architecture decision to a product that scales.
Fast, secure applications on proven stacks.
Interfaces designed around real tasks and real users.
Automated checks that catch problems before your users do.
Products that work for people using assistive technology.
Care for mature and legacy products.
Approach
Step 01
Goals, users, constraints and the riskiest assumptions.
You get Product brief
Step 02
Flows, prototypes and architecture.
You get Clickable prototype
Step 03
Two-week sprints with a demo at the end of each.
You get Working software
Step 04
Automated and exploratory testing, including accessibility.
You get Test reports
Step 05
Staged rollouts with monitoring and rollback.
You get Release notes
Step 06
Analytics-informed improvements and maintenance.
You get Roadmap updates
Platforms and tools
Names are trademarks of their respective owners, used only to describe technologies our teams use. No partnership or endorsement is implied. See the main platforms we work with.
Industries
Questions
Yes. We agree the smallest feature set that tests your riskiest assumption, design it with you and build it in short sprints, with a demo at the end of each one.
You do, once it is paid for. Under our standard contract terms, and unless your contract says otherwise, intellectual property in deliverables created for you transfers to you on payment, and we hand over repositories, infrastructure access and documentation. Tools and know-how we had before the engagement stay ours, and you receive a license to use them as part of the deliverables.
Yes. We test against WCAG 2.2 AA with automated tools plus manual keyboard and screen reader checks, and we fix issues within the sprint rather than after launch.
Yes. We begin with a code and architecture review, set up the build and test pipeline, and then agree a plan for fixes and new features.
Often combined with
Why many generative AI pilots stall, and the selection criteria, evaluation and guardrails that help the good ones reach production.
Tell us about your systems, timelines and constraints. We will come back with questions, options and a suggested first step.