Kaizen is an early-stage engineering team focused on building real software for healthcare, sustainability, civic impact, education, and applied AI - learning in public and shipping what we build.
10 deployed projects - explore case studies
These are the disciplines we practice by shipping - not a services catalog. Each capability is backed by a deployed project you can explore below.
We ship Next.js and React applications with clear information architecture, accessible UI, and production deployments on Vercel and Netlify.
Deployed
4
Uptime
99.9%
Platforms
2
We experiment with ML pipelines, analytics, and AI marketplace patterns - always labeling what is prototype vs. production-ready.
Deployed
2
Uptime
99.5%
Platforms
2
Samanvay and MediStats reflect our work on sensitive domains - prioritizing ethical copy, calm UX, and honest scope about clinical boundaries.
Deployed
2
Uptime
99.8%
Platforms
2
Vision Katni and our water footprint calculator show how we partner with communities and environmental education use cases.
Deployed
2
Uptime
99.9%
Platforms
1
ICMITA 2023 taught us how to ship deadline-driven conference sites with dense academic content and maintainable structure.
Deployed
1
Uptime
100%
Platforms
1
Every project in our portfolio is deployed. We practice real pipelines - env config, hosting choices, and post-launch fixes - not slide-deck software.
Deployed
10
Uptime
99.9%
Platforms
3
Each card links to a full case study with problem, solution, challenges, and lessons - plus a live demo. View pricing ranges.
7
Deployed projects
6
Problem domains
100%
Open to collaboration
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A connected engineering workflow - built around discovery, shipping, and continuous improvement across every project.
We start with users, constraints, and context - especially in health, civic, and sustainability work where honest scope matters from day one.
Engineering artifacts
We sketch journeys, validate assumptions with collaborators, and prefer working prototypes over long specification documents.
Engineering artifacts
We implement in tight loops - component systems, typed APIs, and PR-sized changes that keep momentum without sacrificing quality.
Engineering artifacts
We deploy early to Vercel, Netlify, or Render - env config, preview URLs, and production checks before calling anything done.
Engineering artifacts
Deployment milestones
We capture lessons, refine copy and UX, and treat each project as research - not a one-off handoff. The loop starts again.
Engineering artifacts
Loop restarts
Every deploy feeds the next discovery cycle
The team
We care about problems that affect communities: mental health access, environmental awareness, civic participation, and practical applications of machine learning. Each project is an opportunity to learn, ship, and improve.
Meet KaizenSwitch between USD and INR anytime. Submit the contact form for a free custom quote.
Validate fast
US dollars
Ship to users
US dollars
Production grade
US dollars
Typical delivery path
Discover
Wk 1
Build
Wk 2–6
Deploy
Wk 7
Handoff
Wk 8+
Project calculator
Estimated budget · MVP
₹21,000 – ₹25,200
Indicative ranges only. Submit the contact form for a free custom quote.
Whether you're exploring a collaboration, research idea, internship conversation, or feedback on our work - we'd like to hear from you.
